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One of the most effective ways to generate and maintain valuable customer connections is to constantly learn from and use relevant consumer data. Here are three data-driven strategies that will help you reach more customers so you can keep growing at a competitive pace:",{"type":20,"tag":28,"props":29,"children":31},"h1",{"id":30},"_1-use-your-first-party-data-to-build-lookalike-audiences",[32],{"type":20,"tag":33,"props":34,"children":35},"strong",{},[36],{"type":25,"value":37},"1. Use your first-party data to build lookalike audiences",{"type":20,"tag":21,"props":39,"children":40},{},[41,43,50],{"type":25,"value":42},"Your ",{"type":20,"tag":44,"props":45,"children":47},"a",{"href":46},"/blog/first-party-second-party-third-party-data",[48],{"type":25,"value":49},"first-party data",{"type":25,"value":51},", or the data your organization collects first-hand, will always be one of your organization’s most valuable resources. When it comes to reaching more audiences, your first-party data is a great roadmap. It’s likely that the audiences you’re trying to reach share similar traits with the audience you’ve already identified. These are called “lookalike audiences” and they’re the first audiences you should be targeting.",{"type":20,"tag":21,"props":53,"children":54},{},[55],{"type":25,"value":56},"Analyze the data you already have about your customers. New customers will most likely look similar. Do you notice trends in age, geographic location, or gender? Do you notice patterns in responses to certain types of messaging or products? Use this data as a springboard when diving into new audiences.",{"type":20,"tag":21,"props":58,"children":59},{},[60],{"type":25,"value":61},"For instance, if you have found that a certain product sells better to women in a certain age bracket, you might use that insight to market that product to similar demographics in new areas. If you’re a cosmetic company and you notice you have a large vegan demographic, you might use that information to append your audience with more contacts that share similar values (contacts interested in vegetarianism, animal rights, all-natural products, etc).",{"type":20,"tag":28,"props":63,"children":65},{"id":64},"_2-augment-your-data-to-hone-in-on-audience-preferences",[66],{"type":20,"tag":33,"props":67,"children":68},{},[69],{"type":25,"value":70},"2. Augment your data to hone in on audience preferences",{"type":20,"tag":21,"props":72,"children":73},{},[74,76,82],{"type":25,"value":75},"The internal data you’ve collected on your current audience’s engagement habits and buying behaviors is extremely valuable. To gain even more in-depth insight into who your audience is and what they are looking for when they engage with your brand, you should consider ",{"type":20,"tag":44,"props":77,"children":79},{"href":78},"/blog/gain-a-competitive-edge-with-a-new-data-enrichment-strategy",[80],{"type":25,"value":81},"enriching your first-party data with additional information",{"type":25,"value":83},". With augmented data from outside sources, enterprises are able to build hyper-personalized experiences for their buyers throughout the buyer journey.",{"type":20,"tag":21,"props":85,"children":86},{},[87],{"type":25,"value":88},"As marketing becomes increasingly personalized, buyers are expecting you to know them and curate messaging and products based on their preferences. Incorporating data from external sources into your internal data is the best way to fill any gaps you might have in identifying who your audience is and getting to know them on a deeper level.",{"type":20,"tag":21,"props":90,"children":91},{},[92],{"type":25,"value":93},"For instance, you might enrich your existent audience data with age data. Using our cosmetic company again as an example, you might be aware that a larger percentage of your cosmetic customer base is female, but you might not know the age bracket that your products are most popular in. You can use your enriched age data to find which products are more popular for 25-35 year olds and which are most frequently purchased by 18-25 year olds. With your new insights, you’ll be able to focus your product marketing campaigns on more specific target audiences.",{"type":20,"tag":21,"props":95,"children":96},{},[97],{"type":25,"value":98},"With better insight into audience attributes, priorities, and behavior, you have a better opportunity to create customized communications that will prove to your audience that you understand and know how to meet their needs and desires.",{"type":20,"tag":28,"props":100,"children":102},{"id":101},"_3-create-an-omnichannel-strategy",[103],{"type":20,"tag":33,"props":104,"children":105},{},[106],{"type":25,"value":107},"3. Create an omnichannel strategy",{"type":20,"tag":21,"props":109,"children":110},{},[111,113,119],{"type":25,"value":112},"It’s obvious that you’ll want to always be searching for new channels, but it’s also important to make sure all of your channels are also working together. This is called ",{"type":20,"tag":44,"props":114,"children":116},{"href":115},"/solutions/identity-resolution",[117],{"type":25,"value":118},"omnichannel marketing",{"type":25,"value":120}," and it’s a tried-and-true strategy. In fact, campaigns that use three or more channels have a 90% higher retention rate than single-channel campaigns.",{"type":20,"tag":21,"props":122,"children":123},{},[124],{"type":25,"value":125},"Omnichannel marketing is a way to ensure that your current audience and the audience you are trying to reach all receive a unified message that reflects their relationship with your brand. For instance, your cosmetic company might run an Instagram advertisement for getting a percentage off of products if customers sign up for a rewards program. People who watch and interact with that ad might sign up for your reward’s program on your company’s website. By signing up, automated emails could be triggered that offer discounts, deals, and more. Through all of these channels, you’ve managed to expand your reach considerably.",{"type":20,"tag":21,"props":127,"children":128},{},[129],{"type":25,"value":130},"Now you can collect and analyze data from all of these channels, creating a comprehensive view of your buyers that will help you personalize even more effective messages and interactions for your audience in the future.",{"type":20,"tag":28,"props":132,"children":134},{"id":133},"use-narratives-data-collaboration-platform-to-extend-the-reach-of-your-custom-audiences",[135],{"type":20,"tag":33,"props":136,"children":137},{},[138],{"type":25,"value":139},"Use Narrative’s data collaboration platform to extend the reach of your custom audiences",{"type":20,"tag":21,"props":141,"children":142},{},[143,145,151,153,159,161,166],{"type":25,"value":144},"You can extend the reach of your audiences using Narrative’s data collaboration platform. We offer quick and easy solutions for ",{"type":20,"tag":44,"props":146,"children":148},{"href":147},"/blog/data-onboarding",[149],{"type":25,"value":150},"data onboarding",{"type":25,"value":152},", ",{"type":20,"tag":44,"props":154,"children":156},{"href":155},"/solutions/data-enrichment",[157],{"type":25,"value":158},"data enrichment",{"type":25,"value":160}," and ",{"type":20,"tag":44,"props":162,"children":163},{"href":115},[164],{"type":25,"value":165},"identity resolution",{"type":25,"value":167},". You’ll be able to append your customer profiles with additional attributes, find new sources of information about your customers, and match data between platforms and applications. You’ll never pay for the same data point twice, and we ensure that all the data you acquire is quality, transparent, and relevant.",{"type":20,"tag":21,"props":169,"children":170},{},[171,176,178,187],{"type":20,"tag":33,"props":172,"children":173},{},[174],{"type":25,"value":175},"Want to start reaching more audiences?",{"type":25,"value":177}," ",{"type":20,"tag":44,"props":179,"children":181},{"href":180},"/contact",[182],{"type":20,"tag":33,"props":183,"children":184},{},[185],{"type":25,"value":186},"Give our experts a call",{"type":20,"tag":33,"props":188,"children":189},{},[190],{"type":25,"value":191},".",{"title":8,"searchDepth":193,"depth":193,"links":194},2,[],"markdown","content:blog:3-data-driven-ways-to-reach-more-customers.md","content","blog/3-data-driven-ways-to-reach-more-customers.md","blog/3-data-driven-ways-to-reach-more-customers","md",{"loc":5},{"_path":203,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":204,"description":205,"publishDate":206,"author":12,"ogImage":207,"image":207,"tags":208,"body":210,"_type":195,"_id":384,"_source":197,"_file":385,"_stem":386,"_extension":200,"sitemap":387},"/blog/3-ways-to-monetize-data","3 Ways to Monetize Your Data","These are the three key ways your organization should be monetizing data in order to drive revenue. ","2021-11-03T15:24:06.000Z","/img/blog/2021/11/3-elements-of-data-driven-marketing-1.png",[209],"data economy",{"type":17,"children":211,"toc":377},[212,217,222,229,234,239,244,257,262,268,273,278,283,288,294,299,304,317,330,343,356,362,367],{"type":20,"tag":21,"props":213,"children":214},{},[215],{"type":25,"value":216},"Every time your organization collects a new data point, you have found another gold flake in the river of information that is rushing through our economy. Your organization collects an immense amount of these gold flakes on a daily basis, so how can you turn them into cash flow?",{"type":20,"tag":21,"props":218,"children":219},{},[220],{"type":25,"value":221},"Data can be monetized by being directly sold to buyers and also by being applied to business strategies to drive revenue. If your organization is wondering what methods should be used in your data monetization strategy, these three ways to monetize data will get you started on the path to successfully turning your data gold into revenue.",{"type":20,"tag":223,"props":224,"children":226},"h3",{"id":225},"_1-gain-insights-to-create-profitable-products-services",[227],{"type":25,"value":228},"1. Gain Insights to Create Profitable Products & Services",{"type":20,"tag":21,"props":230,"children":231},{},[232],{"type":25,"value":233},"Organizations can derive monetary value from their data by simply staying informed on market trends and the latest customer demands. Data is your organization’s most useful tool for getting to know your customer base.",{"type":20,"tag":21,"props":235,"children":236},{},[237],{"type":25,"value":238},"Customer satisfaction is one of the highest determining factors of a successful business, so honing in on current customer preferences and what customers may prefer in the future is highly valuable. By staying up to date on customer data, organizations can create more relevant and personalized products and services, which leads to more revenue.",{"type":20,"tag":21,"props":240,"children":241},{},[242],{"type":25,"value":243},"Your organization should be gathering data on customer preferences, interests, behaviors and demographics through customer surveys, purchases, and website analytics on a day-to-day basis. With that information, your organization can not only create better products and services, but can also generate advertisements, social media, and other content that will connect with your customers in a highly personalized way.",{"type":20,"tag":21,"props":245,"children":246},{},[247,249,255],{"type":25,"value":248},"By applying your data to create the best products, services, and customer experiences, you are guaranteeing increased profits. For example, you can use data to determine which customer profiles are most likely to respond to certain advertisements. When companies target ads more accurately, an increased amount of customers will inevitably respond and make a purchase, therefore ",{"type":20,"tag":44,"props":250,"children":252},{"href":251},"/blog/data-driven-marketing",[253],{"type":25,"value":254},"increasing the ROI of marketing campaigns",{"type":25,"value":256}," and reducing wasted advertising dollars.",{"type":20,"tag":21,"props":258,"children":259},{},[260],{"type":25,"value":261},"Constantly improving customer experiences with the insight you’ve gleaned from your data also establishes customer loyalty, increases the lifetime value of each customer, and leads to increased customer referrals.",{"type":20,"tag":223,"props":263,"children":265},{"id":264},"_2-increase-efficiency-and-cut-company-costs",[266],{"type":25,"value":267},"2. Increase Efficiency and Cut Company Costs",{"type":20,"tag":21,"props":269,"children":270},{},[271],{"type":25,"value":272},"Data can also be used to make more informed decisions, streamline business operations, reduce company expenses, and improve ROI. Your organization can save time and money by optimizing processes, reducing transportation and logistics expenses, automating jobs with AI, and much more.",{"type":20,"tag":21,"props":274,"children":275},{},[276],{"type":25,"value":277},"Making more informed decisions with your data can help you identify new opportunities and pinpoint what areas of your company could improve efficiency in order to reduce resource waste. Data also allows organizations to evaluate performances of employees, marketing campaigns, and product sales.",{"type":20,"tag":21,"props":279,"children":280},{},[281],{"type":25,"value":282},"For instance, data shines a spotlight on products that have high sales and products that have low sales, which can help your organization decide which products should be discontinued and which products should be promoted. You can also dive even deeper into your data to gain insights on why certain products perform better than others.",{"type":20,"tag":21,"props":284,"children":285},{},[286],{"type":25,"value":287},"By accessing more specific data, companies can eliminate mistakes they’ve made with past products, predict future product performance, and perhaps even incorporate features from successful products into struggling products to save them from discontinuation.",{"type":20,"tag":223,"props":289,"children":291},{"id":290},"_3-generate-new-streams-of-revenue",[292],{"type":25,"value":293},"3. Generate New Streams of Revenue",{"type":20,"tag":21,"props":295,"children":296},{},[297],{"type":25,"value":298},"A company's data is an extremely valuable asset. In fact, when a company is valued in preparation for a potential sale, the value of that company's data is included in the overall valuation. Selling your data is definitely a lucrative venture, especially if your organization’s data is unique. No matter what kind of data your company has stored, there is a market for it.",{"type":20,"tag":21,"props":300,"children":301},{},[302],{"type":25,"value":303},"For instance, the farm equipment and tractor manufacturer John Deere generates over a billion dollars a year by selling their data to farmers. They collect data using an intelligent farming system that gathers information on soil and weather, and then use that data to provide recommendations to farmers on what to plant, when to plant it, how much fertilizer to use, and more. Another exemplary company, Visa, makes over a billion dollars a year selling data to retailers who want information on customer purchase patterns.",{"type":20,"tag":21,"props":305,"children":306},{},[307,309,315],{"type":25,"value":308},"The most cost-effective way to sell data is through a ",{"type":20,"tag":44,"props":310,"children":312},{"href":311},"/blog/what-is-a-data-exchange",[313],{"type":25,"value":314},"data exchange",{"type":25,"value":316},". These are platforms that allow you to upload your data into a marketplace and make it available to interested parties within the exchange.",{"type":20,"tag":21,"props":318,"children":319},{},[320,322,328],{"type":25,"value":321},"Data exchanges like ",{"type":20,"tag":44,"props":323,"children":325},{"href":324},"/products/data-marketplace",[326],{"type":25,"value":327},"Narrative’s data marketplace",{"type":25,"value":329}," minimize traditional barriers to entry in the data selling game by providing an ecommerce experience. These exchanges make it easy for organizations to package, publish, and sell their own data as well as find and buy data that could be useful.",{"type":20,"tag":21,"props":331,"children":332},{},[333,335,341],{"type":25,"value":334},"Using Narrative’s ",{"type":20,"tag":44,"props":336,"children":338},{"href":337},"/blog/data-shops",[339],{"type":25,"value":340},"Data Shops",{"type":25,"value":342},", a suite of intuitive apps, your organization is provided with the data monetization tools needed to build a full functional data shop in just a few hours. Instead of having to burn through resources by hiring data engineers, developers, salespeople, and legal and financial teams, you can stand up an attractive data shop with neatly packaged products on your own.",{"type":20,"tag":21,"props":344,"children":345},{},[346,348,354],{"type":25,"value":347},"Anyone can easily create a fully functional data business in as little as a day by using the Data Shops apps, even with no coding or design experience. We make it easy to ingest all of your data into our ",{"type":20,"tag":44,"props":349,"children":351},{"href":350},"/blog/data-lakes-data-warehouses-and-data-marts",[352],{"type":25,"value":353},"data lake",{"type":25,"value":355},", package that data into products, and set up an ecommerce storefront to sell your data to the buyers who are searching for it.",{"type":20,"tag":223,"props":357,"children":359},{"id":358},"start-monetizing-your-data-today-with-narrative",[360],{"type":25,"value":361},"Start Monetizing Your Data Today with Narrative",{"type":20,"tag":21,"props":363,"children":364},{},[365],{"type":25,"value":366},"With Narrative’s data collaboration platform, you can buy data that will help you gain better insights and cut costs, as well as sell data to generate a new revenue stream for your organization. Narrative provides you the data monetization tools that you need in order to streamline the data selling process and start generating revenue.",{"type":20,"tag":21,"props":368,"children":369},{},[370,372],{"type":25,"value":371},"Want to learn more about launching your data business? Get started today by ",{"type":20,"tag":44,"props":373,"children":374},{"href":180},[375],{"type":25,"value":376},"speaking to one of our experts!",{"title":8,"searchDepth":193,"depth":193,"links":378},[379,381,382,383],{"id":225,"depth":380,"text":228},3,{"id":264,"depth":380,"text":267},{"id":290,"depth":380,"text":293},{"id":358,"depth":380,"text":361},"content:blog:3-ways-to-monetize-data.md","blog/3-ways-to-monetize-data.md","blog/3-ways-to-monetize-data",{"loc":203},{"_path":389,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":390,"description":391,"publishDate":392,"author":12,"ogImage":393,"image":393,"tags":394,"body":395,"_type":195,"_id":598,"_source":197,"_file":599,"_stem":600,"_extension":200,"sitemap":601},"/blog/5-principles-of-data-commerce","5 Principles of Data Collaboration","The best way to acquire and distribute quality data assets in an efficient and cost-effective way is through a data commerce platform that operates on these 5 principles. ","2022-01-28 19:42:43","/img/blog/2022/01/Screen-Shot-2022-01-28-at-2.41.52-PM.png",[209],{"type":17,"children":396,"toc":596},[397,402,407,416,421,426,431,440,445,458,467,472,477,486,491,496,505,510,515,524,529,544,553,578],{"type":20,"tag":21,"props":398,"children":399},{},[400],{"type":25,"value":401},"As data has become “the new oil” and we enter an increasingly data-centric landscape, organizations have become more aware of the need to use data to make decisions, grow as an enterprise, and increase revenue. Companies need to stay competitive by augmenting their internal data with external data and generating revenue through the sale of their own data assets.",{"type":20,"tag":21,"props":403,"children":404},{},[405],{"type":25,"value":406},"So how do companies acquire and distribute quality data assets in an efficient and cost-effective way? The best way is to use a data commerce platform that operates on good principles.",{"type":20,"tag":28,"props":408,"children":410},{"id":409},"what-is-a-data-collaboration-platform",[411],{"type":20,"tag":33,"props":412,"children":413},{},[414],{"type":25,"value":415},"What is a data collaboration platform?",{"type":20,"tag":21,"props":417,"children":418},{},[419],{"type":25,"value":420},"A data collaboration platform is software that makes buying and selling quality data assets faster and easier than ever. We provide the tools you need in order to discover the exact data you want and also create your own data business to sell your data assets. It’s the best way to put your data assets in front of interested buyers and the best way to find and buy quality data from the right sources in a cost-effective and efficient way.",{"type":20,"tag":21,"props":422,"children":423},{},[424],{"type":25,"value":425},"Using the platform as a buyer, you have the ability to access many different types of data from several trustworthy sources without having to forge contracts or undergo negotiations. Using the platform as a seller, you have the ability to showcase your company’s valuable data assets to many buyers using an intuitive self-service interface. It’s Shopify for data!",{"type":20,"tag":21,"props":427,"children":428},{},[429],{"type":25,"value":430},"Every data collaboration platform should operate on five fundamental principles that ensure fast, easy, and transparent data transactions:",{"type":20,"tag":28,"props":432,"children":434},{"id":433},"_1-autonomy",[435],{"type":20,"tag":33,"props":436,"children":437},{},[438],{"type":25,"value":439},"1. Autonomy",{"type":20,"tag":21,"props":441,"children":442},{},[443],{"type":25,"value":444},"There is no one-size-fits-all solution in the world of data collaboration. Each organization comes with unique challenges and goals, which require custom data solutions. You should feel empowered to create a data strategy that fits your organization’s unique journey.",{"type":20,"tag":21,"props":446,"children":447},{},[448,450,456],{"type":25,"value":449},"The tools provided by a data collaboration platform should give you maximum control over your data monetization initiatives and ",{"type":20,"tag":44,"props":451,"children":453},{"href":452},"/blog/building-a-data-acquisition-strategy-for-2023",[454],{"type":25,"value":455},"data acquisition strategies",{"type":25,"value":457},". Whether you are a buyer or a seller, you want to have complete autonomy over budgets, partners, and customizing data products.",{"type":20,"tag":28,"props":459,"children":461},{"id":460},"_2-liquidity",[462],{"type":20,"tag":33,"props":463,"children":464},{},[465],{"type":25,"value":466},"2. Liquidity",{"type":20,"tag":21,"props":468,"children":469},{},[470],{"type":25,"value":471},"A data collaboration platform makes buying and selling data a piece of cake. The key to efficiency in the data commerce market is ease of access to demand and supply, which requires the disintegration of outdated barriers to entry.",{"type":20,"tag":21,"props":473,"children":474},{},[475],{"type":25,"value":476},"Automated tools available within data collaboration platforms make the process of buying and selling data as simple as point-and-click. It’s as easy to create an entire data business as it is to create a shop on Shopify and it’s as easy to purchase data as it is to download music or subscribe to a podcast.",{"type":20,"tag":28,"props":478,"children":480},{"id":479},"_3-data-quality",[481],{"type":20,"tag":33,"props":482,"children":483},{},[484],{"type":25,"value":485},"3. Data Quality",{"type":20,"tag":21,"props":487,"children":488},{},[489],{"type":25,"value":490},"We know that acquiring data of subpar quality might be unhelpful or even detrimental to your business. In fact, poor data quality costs the United States an estimated $3.1 trillion dollars every year! That’s a lot of waste.",{"type":20,"tag":21,"props":492,"children":493},{},[494],{"type":25,"value":495},"That’s why it’s so important to only purchase data from trusted sources that you know contain relevant and accurate information. Using a data collaboration platform, you’ll avoid purchasing blind data from questionable sources. You can rest assured that the data going into your organization’s decisions, models, and products is high quality and will yield positive outcomes.",{"type":20,"tag":28,"props":497,"children":499},{"id":498},"_4-transparency",[500],{"type":20,"tag":33,"props":501,"children":502},{},[503],{"type":25,"value":504},"4. Transparency",{"type":20,"tag":21,"props":506,"children":507},{},[508],{"type":25,"value":509},"Fully transparent transactions within the data market are the key to sustainability and accountability for both buyers and sellers. No company can have a good data strategy without visibility into all of the moving parts. Organizations with truly strategic initiatives should have a healthy insight into the data they are purchasing and be upfront with the data they are monetizing.",{"type":20,"tag":21,"props":511,"children":512},{},[513],{"type":25,"value":514},"The more you know about the data you’re purchasing, the better. Similarly, the more you share about the data you’re selling, the better. Our data collaboration platform gives both buyers and sellers full transparency in order to foster trust, good relationships, and successful business.",{"type":20,"tag":28,"props":516,"children":518},{"id":517},"_5-privacy-compliance",[519],{"type":20,"tag":33,"props":520,"children":521},{},[522],{"type":25,"value":523},"5. Privacy & Compliance",{"type":20,"tag":21,"props":525,"children":526},{},[527],{"type":25,"value":528},"You know that your company sticks by a strict set of moral and business standards that protect both your business and your customers. That’s why it’s imperative to make sure you are navigating the modern data regulatory environment without incurring undue risk. Smart and competitive enterprises are now more diligent with their approach to data governance and monetization.",{"type":20,"tag":21,"props":530,"children":531},{},[532,534,542],{"type":25,"value":533},"You want to ensure that the data you are selling or buying doesn’t violate your organization’s best practices or the ",{"type":20,"tag":44,"props":535,"children":539},{"href":536,"rel":537},"https://kb.narrative.io/regulations-compliance-privacy",[538],"nofollow",[540],{"type":25,"value":541},"data regulations",{"type":25,"value":543}," that have been put in place to protect privacy. A data collaboration platform helps govern your data transactions for you by ensuring we only allow data on our platform that meets the standard privacy and compliance requirements.",{"type":20,"tag":28,"props":545,"children":547},{"id":546},"apply-narratives-guiding-principles-to-your-data-strategy",[548],{"type":20,"tag":33,"props":549,"children":550},{},[551],{"type":25,"value":552},"Apply Narrative’s guiding principles to your data strategy",{"type":20,"tag":21,"props":554,"children":555},{},[556,562,564,569,570,576],{"type":20,"tag":44,"props":557,"children":559},{"href":558},"/faq/what-is-data-collaboration",[560],{"type":25,"value":561},"Narrative’s data collaboration platform",{"type":25,"value":563}," is the ultimate end-to-end solution for buying and selling quality, transparent, and compliant data assets with tools that maximize autonomy and liquidity. Every data transaction is a simple point-and-click process that empowers your enterprise to create a data strategy on your own terms. Using our cutting-edge applications, like ",{"type":20,"tag":44,"props":565,"children":567},{"href":566},"/solutions/data-monetization",[568],{"type":25,"value":340},{"type":25,"value":160},{"type":20,"tag":44,"props":571,"children":573},{"href":572},"/products/query-builder",[574],{"type":25,"value":575},"Query Builder",{"type":25,"value":577},", anyone can buy or sell custom datasets with unprecedented ease and control.",{"type":20,"tag":21,"props":579,"children":580},{},[581,586,587],{"type":20,"tag":33,"props":582,"children":583},{},[584],{"type":25,"value":585},"Want to elevate your data strategy today?",{"type":25,"value":177},{"type":20,"tag":44,"props":588,"children":590},{"href":589},"/contact?hsCtaTracking=e08f0c95-7f48-4f72-9447-dfc519a8f306%7C13036f93-4774-432c-a24e-67f517ec4034",[591],{"type":20,"tag":33,"props":592,"children":593},{},[594],{"type":25,"value":595},"Speak with one of our experts to get started!",{"title":8,"searchDepth":193,"depth":193,"links":597},[],"content:blog:5-principles-of-data-commerce.md","blog/5-principles-of-data-commerce.md","blog/5-principles-of-data-commerce",{"loc":389},{"_path":603,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":604,"description":605,"publishDate":606,"author":12,"ogImage":607,"image":607,"tags":608,"body":611,"_type":195,"_id":818,"_source":197,"_file":819,"_stem":820,"_extension":200,"sitemap":821},"/blog/5-seo-tips-to-help-buyers-find-your-data-products","5 SEO Tips to Help Buyers Find Your Data Products","To build a good SEO strategy for your ecommerce data products, you’ll need to know the basics. Here are 5 fast tips to get your data in front of buyers.","2022-01-19T21:09:05.000Z","/img/blog/2022/01/Screen-Shot-2022-01-19-at-4.05.36-PM.png",[609,610],"data shops","distribute",{"type":17,"children":612,"toc":816},[613,626,639,648,660,669,674,679,684,693,698,703,708,713,722,727,732,737,746,751,756,765,788,799],{"type":20,"tag":21,"props":614,"children":615},{},[616,618,624],{"type":25,"value":617},"If you’ve started an ecommerce data business in order to capitalize on the growing data monetization market, you know that one of the most important steps in ",{"type":20,"tag":44,"props":619,"children":621},{"href":620},"/blog/how-to-start-selling-your-data",[622],{"type":25,"value":623},"selling your data products",{"type":25,"value":625}," is making your data products discoverable to buyers. In the ecommerce world, one of the best ways to greatly increase the probability that your products will be organically found by the right buyers is to implement good search engine optimization (SEO) practices.",{"type":20,"tag":21,"props":627,"children":628},{},[629,631,637],{"type":25,"value":630},"An ",{"type":20,"tag":44,"props":632,"children":634},{"href":633},"/blog/guide-to-data-shops",[635],{"type":25,"value":636},"ecommerce data business",{"type":25,"value":638}," requires the same strategic attention and execution as an ecommerce clothing store. In order to build a good SEO strategy around the ecommerce data products you want your customers to find, you’ll need to know the basics.",{"type":20,"tag":28,"props":640,"children":642},{"id":641},"what-are-seo-best-practices",[643],{"type":20,"tag":33,"props":644,"children":645},{},[646],{"type":25,"value":647},"What are SEO best practices?",{"type":20,"tag":21,"props":649,"children":650},{},[651,653,658],{"type":25,"value":652},"SEO best practices are guidelines designed to help improve search engine rankings. You can’t ",{"type":20,"tag":44,"props":654,"children":655},{"href":203},[656],{"type":25,"value":657},"monetize your data",{"type":25,"value":659}," products if they aren’t being found. You want your data to be easily discoverable by the people who are actively searching for the data you have to offer, and SEO will help get your data products in front of those buyers. There are many different strategies that you can implement in order to get higher Google rankings, but there are a few universal basics that will never steer you wrong.",{"type":20,"tag":28,"props":661,"children":663},{"id":662},"_1-identify-and-include-keywords",[664],{"type":20,"tag":33,"props":665,"children":666},{},[667],{"type":25,"value":668},"1. Identify and include keywords",{"type":20,"tag":21,"props":670,"children":671},{},[672],{"type":25,"value":673},"One of the most important parts of SEO is the use of strategic keywords. These are words or phrases that your audience will be typing into search engines in order to find and buy whatever types of data they are looking for.",{"type":20,"tag":21,"props":675,"children":676},{},[677],{"type":25,"value":678},"For instance, if one of your data products contains medical data on men with heart disease, you might want to include keywords like “heart disease data” or “medical data” on your product page. Think about who will be searching for your particular types of data and what they might punch into Google in order to find the data they need.",{"type":20,"tag":21,"props":680,"children":681},{},[682],{"type":25,"value":683},"You’ll want to use your selected keywords a handful of times, but not to the point that they feel spammy. Include them naturally in your product titles and descriptions as best as you can. Google favors pages that include a keyword or keyword phrase multiple times. However, Google will punish a page for overdoing it.",{"type":20,"tag":28,"props":685,"children":687},{"id":686},"_2-be-descriptive-clear-and-unique",[688],{"type":20,"tag":33,"props":689,"children":690},{},[691],{"type":25,"value":692},"2. Be descriptive, clear, and unique",{"type":20,"tag":21,"props":694,"children":695},{},[696],{"type":25,"value":697},"The more detail you provide for your data products, the easier it will be for Google to index your products, for customers to find your products, and for buyers to understand what they're purchasing. It’s important to be clear, descriptive, and specific in order to give your data products the best shot at being discovered and purchased.",{"type":20,"tag":21,"props":699,"children":700},{},[701],{"type":25,"value":702},"The title of your data products should describe exactly what type of data is packaged within. Instead of simply “Medical Data,” a better title would be: “Heart Disease Data on Men Aged 60-70 in Canada.”",{"type":20,"tag":21,"props":704,"children":705},{},[706],{"type":25,"value":707},"Your data product’s description should offer any information you think will further explain your product and entice someone to buy it. This is your opportunity to tell your buyers a story about your data. Tell them why they care about your data product, what data is included in your product, how the data was collected, who it was collected from, and any other information that makes your data product unique and valuable.",{"type":20,"tag":21,"props":709,"children":710},{},[711],{"type":25,"value":712},"It’s also important that each product has its own unique title and description. Google doesn’t want to see duplicate content, so copying and pasting a similar description for every product won’t do your ecommerce data business any favors.",{"type":20,"tag":28,"props":714,"children":716},{"id":715},"_3-include-and-optimize-images",[717],{"type":20,"tag":33,"props":718,"children":719},{},[720],{"type":25,"value":721},"3. Include and optimize images",{"type":20,"tag":21,"props":723,"children":724},{},[725],{"type":25,"value":726},"Even if you don’t think your data product needs to be accompanied by an image, including a positive or exciting image alongside your data product can only help your SEO, and also makes your product look more professional and visually pleasing. For example, a data product containing information on cat food could be accompanied by an adorable picture of a cat.",{"type":20,"tag":21,"props":728,"children":729},{},[730],{"type":25,"value":731},"Properly-optimized images can help your pages rank higher in Google web search. Ecommerce product pages that include optimized images are both more searchable and more visually exciting.",{"type":20,"tag":21,"props":733,"children":734},{},[735],{"type":25,"value":736},"So how do you optimize that cat picture next to your cat food data product? The best way is to give your image a descriptive filename and a descriptive alt text that lets search engines know what your image is all about. Don’t name your image something like “image3788” or allow your alt text to be a confused jumble of characters. Google can’t technically “see” images and won’t understand what the image is. Instead, name your image “orange-cat-waiting-for-food,” or something along those lines, and make sure your image alt text also describes the image in a similar way.",{"type":20,"tag":28,"props":738,"children":740},{"id":739},"_4-use-internal-linking-to-direct-your-customers-to-more-products",[741],{"type":20,"tag":33,"props":742,"children":743},{},[744],{"type":25,"value":745},"4. Use internal linking to direct your customers to more products",{"type":20,"tag":21,"props":747,"children":748},{},[749],{"type":25,"value":750},"On your data product pages, it helps to link to other products that your buyers might also be interested in. For instance, you might have multiple medical data products within your ecommerce data shop, but have a distinct group of data products that focus on heart disease. For each individual heart disease data product, you might want to include a link or two in the description that will take your buyers to other relevant heart disease products or even a page that lists several heart disease data products for them to browse and choose from.",{"type":20,"tag":21,"props":752,"children":753},{},[754],{"type":25,"value":755},"Be sure to only include internal linking if it makes sense and is helpful for your customers. You don’t want to link to pages your buyers will be confused or annoyed by when they are redirected. Use your best judgement to determine where your buyers might want to be taken within your ecommerce data store.",{"type":20,"tag":28,"props":757,"children":759},{"id":758},"_5-list-your-data-products-on-a-data-collaboration-platform",[760],{"type":20,"tag":33,"props":761,"children":762},{},[763],{"type":25,"value":764},"5. List your data products on a data collaboration platform",{"type":20,"tag":21,"props":766,"children":767},{},[768,770,777,779,786],{"type":25,"value":769},"A ",{"type":20,"tag":44,"props":771,"children":774},{"href":772,"rel":773},"https://www.narrative.io/",[538],[775],{"type":25,"value":776},"data collaboration platform",{"type":25,"value":778}," simplifies the buying and selling of data products, connects a network of buyers and sellers, and provides the tools, automations, and workflows to make data transactions transparent, fast, and cost-effective. With ",{"type":20,"tag":44,"props":780,"children":783},{"href":781,"rel":782},"https://www.narrative.io/data-marketplace",[538],[784],{"type":25,"value":785},"Narrative’s Data Marketplace",{"type":25,"value":787},", you get access to global demand for your data products from the moment you list them on the platform and also gain access to built-in SEO tools that help get your products in front of the buyers who are interested and searching for ecommerce data products just like yours.",{"type":20,"tag":21,"props":789,"children":790},{},[791,793,797],{"type":25,"value":792},"These built-in SEO tools are included in Narrative’s ",{"type":20,"tag":44,"props":794,"children":795},{"href":566},[796],{"type":25,"value":340},{"type":25,"value":798},", a suite of applications that make ingesting, packaging, and marketing data simpler than ever before. Using the tools provided, you’ll be able to categorize and tag your data products to increase visibility on search engines. You’ll also be able to build an attractive ecommerce storefront, complete with optimized titles, descriptions, and images that will greatly improve your chances of discoverability.",{"type":20,"tag":21,"props":800,"children":801},{},[802,807,808],{"type":20,"tag":33,"props":803,"children":804},{},[805],{"type":25,"value":806},"Want to learn more about making your data products discoverable to interested buyers?",{"type":25,"value":177},{"type":20,"tag":44,"props":809,"children":810},{"href":566},[811],{"type":20,"tag":33,"props":812,"children":813},{},[814],{"type":25,"value":815},"Connect with one of our experts today!",{"title":8,"searchDepth":193,"depth":193,"links":817},[],"content:blog:5-seo-tips-to-help-buyers-find-your-data-products.md","blog/5-seo-tips-to-help-buyers-find-your-data-products.md","blog/5-seo-tips-to-help-buyers-find-your-data-products",{"loc":603},{"_path":823,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":824,"description":825,"publishDate":826,"author":12,"ogImage":827,"image":827,"tags":828,"body":829,"_type":195,"_id":1043,"_source":197,"_file":1044,"_stem":1045,"_extension":200,"sitemap":1046},"/blog/5-steps-to-building-a-successful-data-product","5 Steps to Building a Successful Data Product","To create a profitable data product, you need to give your buyers the information they are actively searching for. Follow these 5 steps to success!","2022-03-30 19:06:44","/img/blog/2022/03/04.png",[609],{"type":17,"children":830,"toc":1041},[831,836,841,849,854,859,864,877,882,887,892,897,902,937,942,947,958,976,981,986,1004,1020],{"type":20,"tag":21,"props":832,"children":833},{},[834],{"type":25,"value":835},"Every successful organization has valuable data that has fueled growth, innovation, and achievements. Many of those successful organizations are realizing that there is insatiable demand for that exact data that they have been automatically generating and that there is opportunity to turn that data into a brand new source of revenue.",{"type":20,"tag":21,"props":837,"children":838},{},[839],{"type":25,"value":840},"However, packaging your organization’s data into products that will generate revenue requires some forethought and strategy. To get your data in front of interested buyers and procure sales, you need to build data products that your buyers truly need and are actively searching for.",{"type":20,"tag":21,"props":842,"children":843},{},[844],{"type":20,"tag":33,"props":845,"children":846},{},[847],{"type":25,"value":848},"What is a data product?",{"type":20,"tag":21,"props":850,"children":851},{},[852],{"type":25,"value":853},"A data product is data that has been cleaned and packaged into a usable and buyable product that data consumers can purchase. Data products are built in order to provide insights and illuminate solutions to specific problems or questions. They can be one of the most powerful products that your company offers. A good data product is capable of generating new revenue sources, enhancing customer experiences, offering new solutions, and even revolutionizing entire industries.",{"type":20,"tag":21,"props":855,"children":856},{},[857],{"type":25,"value":858},"1. Identify your customer’s questions**",{"type":20,"tag":21,"props":860,"children":861},{},[862],{"type":25,"value":863},"The first step to creating a successful data product is to determine who needs your data and why. No organization wants a bunch of unusable data taking up space in their systems–they are going to make a strategic decision to purchase your data in order to solve a particular problem or answer a specific question.",{"type":20,"tag":21,"props":865,"children":866},{},[867,869,875],{"type":25,"value":868},"Identify what questions your buyers might be asking and what problems they want to solve. If you are a collector and supplier of ",{"type":20,"tag":44,"props":870,"children":872},{"href":871},"/blog/the-complete-guide-to-weather-data",[873],{"type":25,"value":874},"weather data",{"type":25,"value":876},", for example, you would consider what questions different industries and departments are asking that your weather data could answer. For instance, agricultural industries might be searching for the best time of year in a particular region to grow different crops. Hospitality industries might be interested in the weather patterns of high-tourism locations. How can the unique capabilities of your data solve for the needs of those data consumers?",{"type":20,"tag":21,"props":878,"children":879},{},[880],{"type":25,"value":881},"2. Give your customers the answers**",{"type":20,"tag":21,"props":883,"children":884},{},[885],{"type":25,"value":886},"A good data product needs to be a solution. You must be the answer to your buyers’ questions if you want your data products flying off their virtual shelves. If you are anticipating agricultural industries might be purchasing your weather data to determine the best time to grow a particular crop, you might create a data product that includes historical information about precipitation, humidity, and temperature in a variety of farmland regions. If you want to create a product that provides solutions for hospitality industries that are looking to build new locations, you might consider creating a data product that includes information on natural disasters, rainfall, and snowfall in locations with high tourism rates.",{"type":20,"tag":21,"props":888,"children":889},{},[890],{"type":25,"value":891},"Once you have formed an objective and focus, you will have a definite foundation to build a useful data product. To build your data product around that central objective effectively, ensure that every dataset you feed into the finished product is there for a purpose and contributes to your objective.",{"type":20,"tag":21,"props":893,"children":894},{},[895],{"type":25,"value":896},"3. Set high standards for your data**",{"type":20,"tag":21,"props":898,"children":899},{},[900],{"type":25,"value":901},"Buyers don’t want a messy pile of questionable data, they want trustworthy insight and solutions. To ensure you’re delivering a high quality product, you’ll want to make sure that you are providing data that is:",{"type":20,"tag":903,"props":904,"children":905},"ul",{},[906,917,927],{"type":20,"tag":907,"props":908,"children":909},"li",{},[910,915],{"type":20,"tag":33,"props":911,"children":912},{},[913],{"type":25,"value":914},"Deep:",{"type":25,"value":916}," Deep data refers to data that is high quality, relevant, and actionable. Your data should be proven to be valid, collected reliably, and as accurate and relevant as possible. Make sure that all unnecessary, unusable, or inaccurate information has been removed.",{"type":20,"tag":907,"props":918,"children":919},{},[920,925],{"type":20,"tag":33,"props":921,"children":922},{},[923],{"type":25,"value":924},"Extensive:",{"type":25,"value":926}," Your data should cover a large area of interest, meaning it should contain a decent amount of records. Buyers will want the most bang for their buck, so they won’t be enticed to acquire data that is small in scope. The more information you offer (as long as it is relevant and actionable) the better.",{"type":20,"tag":907,"props":928,"children":929},{},[930,935],{"type":20,"tag":33,"props":931,"children":932},{},[933],{"type":25,"value":934},"Complete and Consisten",{"type":25,"value":936},"t: Make sure that all possible data that is required is present and that there are no conflicts in information. You want your buyers to trust your data and not be frustrated by missing or conflicting information. Building trust with your buyers makes it more likely that they’ll return to purchase more of your products in the future.",{"type":20,"tag":21,"props":938,"children":939},{},[940],{"type":25,"value":941},"4. Create and customize your product**",{"type":20,"tag":21,"props":943,"children":944},{},[945],{"type":25,"value":946},"When it comes to actually creating your data product, there are two directions you can go. The first option is to create your data product from scratch - that means getting multiple internal teams to collaborate on producing a final product. Your workforce will need to manually and painstakingly validate, clean, and organize all of your datasets, which could take up a decent amount of time and labor.",{"type":20,"tag":21,"props":948,"children":949},{},[950,952,956],{"type":25,"value":951},"The second (and much better) option is to use a platform that automates the process for you. You should have a single platform that enables you to build an entire data product from start to finish. That means all of that annoying validating, cleaning, storing, and organizing is done faster, cheaper, and with less room for error. Using ",{"type":20,"tag":44,"props":953,"children":954},{"href":558},[955],{"type":25,"value":561},{"type":25,"value":957},", you can ingest large amounts of data, clean it, assemble it, and package it all in one place.  A data product which requires manual execution at multiple points is often ineffective. The less human interference throughout the process, the less room for error, the less delay, and the less busywork for your human employees.",{"type":20,"tag":21,"props":959,"children":960},{},[961,963,967,969,974],{"type":25,"value":962},"With cutting-edge software like ",{"type":20,"tag":44,"props":964,"children":965},{"href":566},[966],{"type":25,"value":340},{"type":25,"value":968},", your raw data is automatically validated, cleaned, and transformed into standardized data sets that can be easily packaged. Using that same software’s advanced filters and tools, you’ll be able to ",{"type":20,"tag":44,"props":970,"children":971},{"href":337},[972],{"type":25,"value":973},"create custom data products",{"type":25,"value":975}," to meet your customers’ exact needs. And, you can do all of this without having extensive technical expertise–the platform is designed to be a no-code, intuitive, point-and-click interface that anyone can master.",{"type":20,"tag":21,"props":977,"children":978},{},[979],{"type":25,"value":980},"5. Find and deliver to your buyers**",{"type":20,"tag":21,"props":982,"children":983},{},[984],{"type":25,"value":985},"Once you’ve created your data product, you need to get your product in front of interested buyers. You, once again, have the option to do this all manually, which is an outdated and rigorous process that could take months or even years. Traditionally, you would have to seek out organizations to negotiate with and get your legal teams and data engineers in gear to finalize contracts and make your data transferable.",{"type":20,"tag":21,"props":987,"children":988},{},[989,991,996,998,1002],{"type":25,"value":990},"However, the easiest and most effective way to start selling your data products today is by standing up an ",{"type":20,"tag":44,"props":992,"children":993},{"href":633},[994],{"type":25,"value":995},"ecommerce data store",{"type":25,"value":997},". This is a relatively new option that is lowering the barriers to entry in the data commerce space and making it possible for companies to sell ",{"type":20,"tag":44,"props":999,"children":1000},{"href":46},[1001],{"type":25,"value":49},{"type":25,"value":1003}," to multiple buyers with just a few clicks.",{"type":20,"tag":21,"props":1005,"children":1006},{},[1007,1011,1013,1018],{"type":20,"tag":44,"props":1008,"children":1009},{"href":566},[1010],{"type":25,"value":340},{"type":25,"value":1012}," makes it easy to build an ecommerce storefront and sell your data products directly to multiple interested buyers. All you have to do is set up a self-service storefront using the tools provided within the platform, make your data discoverable with the help of tagging and ",{"type":20,"tag":44,"props":1014,"children":1015},{"href":603},[1016],{"type":25,"value":1017},"basic SEO practices",{"type":25,"value":1019},", and sit back and relax while your data products are automatically delivered to buyers.",{"type":20,"tag":21,"props":1021,"children":1022},{},[1023,1028,1029,1037],{"type":20,"tag":33,"props":1024,"children":1025},{},[1026],{"type":25,"value":1027},"Start creating and selling your data products as soon as today! Our team of experts can help you",{"type":25,"value":177},{"type":20,"tag":44,"props":1030,"children":1031},{"href":180},[1032],{"type":20,"tag":33,"props":1033,"children":1034},{},[1035],{"type":25,"value":1036},"get started",{"type":20,"tag":33,"props":1038,"children":1039},{},[1040],{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":1042},[],"content:blog:5-steps-to-building-a-successful-data-product.md","blog/5-steps-to-building-a-successful-data-product.md","blog/5-steps-to-building-a-successful-data-product",{"loc":823},{"_path":1048,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":1049,"description":1050,"publishDate":1051,"author":12,"ogImage":1052,"image":1052,"tags":1053,"body":1055,"_type":195,"_id":1250,"_source":197,"_file":1251,"_stem":1252,"_extension":200,"sitemap":1253},"/blog/6-data-analytics-trends-2022","6 Data Analytics Trends That Will Shape 2022 and Beyond","These 6 top data analytics trends are shaping the future of data in 2022 and beyond. Stay ahead of these data trends to ensure your organization continues to thrive in a post-pandemic landscape. ","2021-10-27 17:57:12","/img/blog/2021/10/Screen-Shot-2021-10-27-at-1.51.17-PM.png",[1054],"data science",{"type":17,"children":1056,"toc":1247},[1057,1062,1067,1077,1091,1096,1106,1111,1121,1126,1131,1141,1146,1151,1161,1175,1185,1197,1211,1217,1235],{"type":20,"tag":21,"props":1058,"children":1059},{},[1060],{"type":25,"value":1061},"The future of big data is bright: better technology and greater access to an ocean of information has given businesses the power to gain more insights, improve performance, increase revenue, and innovate faster.",{"type":20,"tag":21,"props":1063,"children":1064},{},[1065],{"type":25,"value":1066},"The COVID-19 pandemic has altered the business world in unprecedented ways, but organizations have adapted to maximize the surge of online interaction and resulting expanse of data. As 2021 nears its end, trends in the world of data are beginning to shape what 2022 and beyond will look like. Staying ahead of these trends will ensure your organization does not get left behind and will continue to thrive as we enter a post-pandemic landscape.",{"type":20,"tag":21,"props":1068,"children":1069},{},[1070,1072],{"type":25,"value":1071},"1. ",{"type":20,"tag":33,"props":1073,"children":1074},{},[1075],{"type":25,"value":1076},"The Cloud Will Become a No-Brainer",{"type":20,"tag":21,"props":1078,"children":1079},{},[1080,1082,1089],{"type":25,"value":1081},"Cloud technology is becoming increasingly more innovative, immediate, and flexible. There has been a massive shift over the past year from companies storing their data in physical servers to companies storing their data in the cloud or choosing a hybrid solution. In fact, ",{"type":20,"tag":44,"props":1083,"children":1086},{"href":1084,"rel":1085},"https://www.gartner.com/smarterwithgartner/gartner-top-10-trends-in-data-and-analytics-for-2020/",[538],[1087],{"type":25,"value":1088},"Gartner",{"type":25,"value":1090}," predicts that public cloud services will be essential for 90% of data and analytics innovation by 2022 alone.",{"type":20,"tag":21,"props":1092,"children":1093},{},[1094],{"type":25,"value":1095},"Moving to the cloud is a no-brainer: it can slash IT costs, provide more flexibility, increase efficiency, improve security, and provide more potential for innovation. The COVID-19 pandemic has only made the cloud more popular as companies have become acutely aware of the need to be adaptable to changing circumstances and have also focused attention on how to cut costs.",{"type":20,"tag":21,"props":1097,"children":1098},{},[1099,1101],{"type":25,"value":1100},"2. ",{"type":20,"tag":33,"props":1102,"children":1103},{},[1104],{"type":25,"value":1105},"Artificial Intelligence Will Become Even More Intelligent",{"type":20,"tag":21,"props":1107,"children":1108},{},[1109],{"type":25,"value":1110},"Gartner also predicts that by the end of 2024, 75% of businesses will move from piloting to operationalizing AI, which will result in a 5x increase in streaming data and analytics infrastructures. Artificial Intelligence is already making remarkable progress in the business world and it will become even better at learning algorithms with a shorter time to market. Techniques such as reinforcement learning and distributed learning are creating more adaptable and flexible systems, meaning organizations in 2022 will be able to handle more complex business situations using AI.",{"type":20,"tag":21,"props":1112,"children":1113},{},[1114,1116],{"type":25,"value":1115},"3. ",{"type":20,"tag":33,"props":1117,"children":1118},{},[1119],{"type":25,"value":1120},"Self-Service Analytics Will Rise",{"type":20,"tag":21,"props":1122,"children":1123},{},[1124],{"type":25,"value":1125},"Companies need to make fact-based decisions daily and in multiple sectors of their organization. Much of this decision making is data driven, but not all business professionals are data savvy. Self-service data analytics solutions allow those without a technical background or in-depth knowledge of data analytics to access data and create or customize their own reports and analyses.",{"type":20,"tag":21,"props":1127,"children":1128},{},[1129],{"type":25,"value":1130},"It’s expected that in 2022 there will be an increase in companies adopting truly self-service analytics tools that will allow non-technical business users to securely access and glean insights from data. This will create more efficiency within companies, cut costs, and ultimately lead to better decision making.",{"type":20,"tag":21,"props":1132,"children":1133},{},[1134,1136],{"type":25,"value":1135},"4. ",{"type":20,"tag":33,"props":1137,"children":1138},{},[1139],{"type":25,"value":1140},"Customer Personalization Will Be King",{"type":20,"tag":21,"props":1142,"children":1143},{},[1144],{"type":25,"value":1145},"The COVID-19 pandemic had an unprecedented impact on consumer trends. Since brick-and-mortar businesses were shuttered, consumers turned to the Internet for all of their shopping needs, forcing businesses to digitize more than ever before. Though this transition had its challenges, with digitalization came more data and better insights of consumers.",{"type":20,"tag":21,"props":1147,"children":1148},{},[1149],{"type":25,"value":1150},"It is expected that in 2022, businesses will be more focused than ever on delivering extremely personalized experiences for their customers. Companies will be designing a data-driven “Personalized Customer Experience Plan” that will be able to target consumers in ways that provide exactly the right offer at exactly the right time.",{"type":20,"tag":21,"props":1152,"children":1153},{},[1154,1156],{"type":25,"value":1155},"5. ",{"type":20,"tag":33,"props":1157,"children":1158},{},[1159],{"type":25,"value":1160},"Predictive Analytics Will Increase Performance",{"type":20,"tag":21,"props":1162,"children":1163},{},[1164,1166,1173],{"type":25,"value":1165},"Once upon a time, data analysts had to prepare tremendous amounts of data to try to solve problems. However, thanks to the latest developments and predictive methods, it is now possible to examine existing data to recognize possible problems before they even occur. With modern predictive analysis, companies can make confident predictions about what may occur in the future, enabling any organization to significantly increase its performance by identifying customers’ next move before they even do it. According to a ",{"type":20,"tag":44,"props":1167,"children":1170},{"href":1168,"rel":1169},"https://www.fnfresearch.com/news/global-predictive-analytics-market",[538],[1171],{"type":25,"value":1172},"report published by Facts & Factors",{"type":25,"value":1174},", the global predictive analytics market is growing at a CAGR of around 24.5% and is expected to reach $22.1 billion by the end of 2026.",{"type":20,"tag":21,"props":1176,"children":1177},{},[1178,1180],{"type":25,"value":1179},"6. ",{"type":20,"tag":33,"props":1181,"children":1182},{},[1183],{"type":25,"value":1184},"Data Marketplaces and Exchanges Will Ensure a Competitive Edge",{"type":20,"tag":21,"props":1186,"children":1187},{},[1188,1190,1195],{"type":25,"value":1189},"Gartner predicts that by 2022, 35% of large organizations will be either sellers or buyers of data within online ",{"type":20,"tag":44,"props":1191,"children":1192},{"href":311},[1193],{"type":25,"value":1194},"data marketplaces",{"type":25,"value":1196},". These marketplaces and exchanges make buying and selling data more accessible, cost-effective, and scalable than it has ever been before. By taking advantage of these marketplaces, companies can generate new streams of revenue and also acquire valuable data from other organizations without heavy negotiating.",{"type":20,"tag":21,"props":1198,"children":1199},{},[1200,1202,1209],{"type":25,"value":1201},"Data monetization will generate massive waves of revenue in the coming years. According to a recent market study published by ",{"type":20,"tag":44,"props":1203,"children":1206},{"href":1204,"rel":1205},"https://www.prnewswire.com/news-releases/valued-to-be-4-1-billion-by-2026--data-monetization-slated-for-robust-growth-worldwide-301392899.html",[538],[1207],{"type":25,"value":1208},"Global Industry Analysts Inc.",{"type":25,"value":1210},", the global market for data monetization is set to reach $4.1 billion by 2026, growing at 16.7% annually. By utilizing data exchanges, organizations can participate in this growing market.",{"type":20,"tag":223,"props":1212,"children":1214},{"id":1213},"get-ahead-of-these-trends-with-narrative",[1215],{"type":25,"value":1216},"Get Ahead of These Trends With Narrative",{"type":20,"tag":21,"props":1218,"children":1219},{},[1220,1222,1227,1228,1233],{"type":25,"value":1221},"Narrative ’s data collaboration platform makes it easy to ",{"type":20,"tag":44,"props":1223,"children":1224},{"href":324},[1225],{"type":25,"value":1226},"buy",{"type":25,"value":160},{"type":20,"tag":44,"props":1229,"children":1230},{"href":324},[1231],{"type":25,"value":1232},"sell",{"type":25,"value":1234}," data. Data suppliers can ingest, package, and deliver their data, and data consumers can discover and acquire valuable data sets that can be delivered to any preferred endpoint. You have access to billions of data points and can also contribute your own to start generating new revenue!",{"type":20,"tag":21,"props":1236,"children":1237},{},[1238,1240,1245],{"type":25,"value":1239},"Want to learn more? Speak to a member of our ",{"type":20,"tag":44,"props":1241,"children":1242},{"href":180},[1243],{"type":25,"value":1244},"sales team",{"type":25,"value":1246}," today!",{"title":8,"searchDepth":193,"depth":193,"links":1248},[1249],{"id":1213,"depth":380,"text":1216},"content:blog:6-data-analytics-trends-2022.md","blog/6-data-analytics-trends-2022.md","blog/6-data-analytics-trends-2022",{"loc":1048},{"_path":1255,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":1256,"description":1257,"publishDate":1258,"author":1259,"ogImage":1260,"image":1260,"tags":1261,"authorSlug":1265,"body":1266,"_type":195,"_id":1427,"_source":197,"_file":1428,"_stem":1429,"_extension":200,"sitemap":1430},"/blog/2024-new-years-identity-resolutions","Your 2024 New Year’s Identity Resolutions","The post-cookie world is not a crisis but an opportunity. It pushes us towards more ethical, transparent data practices.","2023-12-19 15:27:10","Frank Campanella","/img/blog/2023/12/identity-resolution-blog-1.png",[1262,1263,165,1264],"data collaboration","data standardization","rosetta stone","frank-campanella",{"type":17,"children":1267,"toc":1417},[1268,1291,1297,1302,1308,1313,1319,1324,1330,1335,1341,1346,1352,1357,1363,1368,1373,1378,1383,1388,1393,1398,1404,1409],{"type":20,"tag":21,"props":1269,"children":1270},{},[1271,1273,1280,1282,1289],{"type":25,"value":1272},"As we venture into 2024, the digital marketing landscape continues to evolve. The long-promised ",{"type":20,"tag":44,"props":1274,"children":1277},{"href":1275,"rel":1276},"https://www.adexchanger.com/privacy/google-plans-to-ring-in-the-new-year-with-third-party-cookie-deprecation-for-real/",[538],[1278],{"type":25,"value":1279},"demise of third-party cookies",{"type":25,"value":1281}," is becoming a reality with Google’s latest Chrome feature release set for January 4th. At the same time, the regulatory environment around privacy and user consent will continue to heat up with 12 states (and counting) that have already ",{"type":20,"tag":44,"props":1283,"children":1286},{"href":1284,"rel":1285},"https://pro.bloomberglaw.com/brief/state-privacy-legislation-tracker/",[538],[1287],{"type":25,"value":1288},"passed legislation",{"type":25,"value":1290},". Whether you’re a marketer or a digital publisher, an effective audience strategy in 2024 needs to incorporate the following:",{"type":20,"tag":223,"props":1292,"children":1294},{"id":1293},"develop-your-identity-mapping-plan",[1295],{"type":25,"value":1296},"Develop your Identity Mapping Plan",{"type":20,"tag":21,"props":1298,"children":1299},{},[1300],{"type":25,"value":1301},"Are you leveraging a vendor or building it yourself, incorporating your own rules and heuristics?  How will this integrate with the rest of your tech stack and into various activation platforms?",{"type":20,"tag":223,"props":1303,"children":1305},{"id":1304},"leverage-multiple-sources-of-data-supply",[1306],{"type":25,"value":1307},"Leverage Multiple Sources of Data Supply",{"type":20,"tag":21,"props":1309,"children":1310},{},[1311],{"type":25,"value":1312},"Very few marketers and publishers can just rely on their 1st party data alone.  Putting all your data eggs in one basket is risky in a landscape devoid of third-party cookies. Diversification is key. Organizations need to harness a variety of data sources beyond their own limited 1st party footprints.",{"type":20,"tag":223,"props":1314,"children":1316},{"id":1315},"account-for-scalability-and-flexibility",[1317],{"type":25,"value":1318},"Account For Scalability and Flexibility",{"type":20,"tag":21,"props":1320,"children":1321},{},[1322],{"type":25,"value":1323},"Scalability is another cornerstone of effective identity mapping. As your organization grows, so too should your ability to handle an increasing volume and complexity of data.",{"type":20,"tag":223,"props":1325,"children":1327},{"id":1326},"look-to-a-mix-of-deterministic-contextual-and-probabilistic-data",[1328],{"type":25,"value":1329},"Look to a mix of Deterministic, Contextual, and Probabilistic Data",{"type":20,"tag":21,"props":1331,"children":1332},{},[1333],{"type":25,"value":1334},"There is no silver bullet in the post-cookie world.  An effective identity mapping strategy should balance deterministic, contextual, and probabilistic data. Deterministic data offers certainty but is limited in scope. Contextual data provides insights into user behaviors and environments, and probabilistic data, though less precise, helps identify broader trends. Blending these data types is key to creating a nuanced understanding of your audience.",{"type":20,"tag":223,"props":1336,"children":1338},{"id":1337},"ensure-compliance-and-protection-of-pii",[1339],{"type":25,"value":1340},"Ensure Compliance and Protection of PII",{"type":20,"tag":21,"props":1342,"children":1343},{},[1344],{"type":25,"value":1345},"In this new era, protecting Personally Identifiable Information (PII) and adherence to privacy standards is non-negotiable. Any identity mapping strategy must include robust measures for data security and privacy. This includes compliance with data protection regulations, data encryption, and strict access controls.",{"type":20,"tag":223,"props":1347,"children":1349},{"id":1348},"select-the-right-data-suppliers",[1350],{"type":25,"value":1351},"Select the Right Data Suppliers",{"type":20,"tag":21,"props":1353,"children":1354},{},[1355],{"type":25,"value":1356},"Without third-party cookies, the importance of choosing the right data suppliers cannot be overstated. Beyond price, your list of criteria should include quality, compliance, and interoperability with your tech stack and systems. Like any supply chain, you should be careful not to be over-reliant on just one source.",{"type":20,"tag":223,"props":1358,"children":1360},{"id":1359},"executing-your-identity-strategy-with-narrative",[1361],{"type":25,"value":1362},"Executing Your Identity Strategy With Narrative",{"type":20,"tag":21,"props":1364,"children":1365},{},[1366],{"type":25,"value":1367},"Narrative allows you to evaluate and acquire data from multiple suppliers with access to over 70 data providers through a single query that ensures data standardization across all sources:",{"type":20,"tag":21,"props":1369,"children":1370},{},[1371],{"type":25,"value":1372},"Efficiency in Data Management: Narrative's deep AI integration and automation ensures data from different suppliers is immediately usable, dramatically reducing the time and resources spent on data processing & cleaning.",{"type":20,"tag":21,"props":1374,"children":1375},{},[1376],{"type":25,"value":1377},"Cross-Industry and platform compatibility: The platform's data standardization technology makes data universally applicable across different identifiers and platforms, enhancing its utility for diverse business needs.",{"type":20,"tag":21,"props":1379,"children":1380},{},[1381],{"type":25,"value":1382},"Enhanced Data Collaboration: By making data interoperable, Narrative’s platform facilitates smoother collaboration between departments and with external partners.",{"type":20,"tag":21,"props":1384,"children":1385},{},[1386],{"type":25,"value":1387},"Security and compliance: Narrative maintains SOC2-compliant security measures and allows companies to enforce their data governance rules.",{"type":20,"tag":21,"props":1389,"children":1390},{},[1391],{"type":25,"value":1392},"Variety: With one query, access a rich tapestry of data, including identity data, demographics, location, and more, from over 70 suppliers.",{"type":20,"tag":21,"props":1394,"children":1395},{},[1396],{"type":25,"value":1397},"Scale: Narrative's platform is designed for scalability, handling petabytes of data and offering custom solutions tailored to your organization's size and needs.",{"type":20,"tag":223,"props":1399,"children":1401},{"id":1400},"conclusion",[1402],{"type":25,"value":1403},"Conclusion",{"type":20,"tag":21,"props":1405,"children":1406},{},[1407],{"type":25,"value":1408},"It is time for both marketers and media companies to develop actionable audience strategies that can function and flourish in this challenging environment. Narrative's platform emerges as a robust solution in this regard, offering access to a wide range of data providers and ensuring that the data is standardized and interoperable, saving time and resources. This agnostic approach aligns with not only the evolving digital marketing landscape in 2024 but also well beyond.",{"type":20,"tag":21,"props":1410,"children":1411},{},[1412],{"type":20,"tag":44,"props":1413,"children":1414},{"href":180},[1415],{"type":25,"value":1416},"Set your New Year's Identity Resolutions. Get in touch!",{"title":8,"searchDepth":193,"depth":193,"links":1418},[1419,1420,1421,1422,1423,1424,1425,1426],{"id":1293,"depth":380,"text":1296},{"id":1304,"depth":380,"text":1307},{"id":1315,"depth":380,"text":1318},{"id":1326,"depth":380,"text":1329},{"id":1337,"depth":380,"text":1340},{"id":1348,"depth":380,"text":1351},{"id":1359,"depth":380,"text":1362},{"id":1400,"depth":380,"text":1403},"content:blog:2024-new-years-identity-resolutions.md","blog/2024-new-years-identity-resolutions.md","blog/2024-new-years-identity-resolutions",{"loc":1255},{"_path":1432,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":1433,"description":1434,"publishDate":1435,"author":1436,"authorSlug":1437,"ogImage":1438,"image":1438,"tags":1439,"body":1440,"_type":195,"_id":1918,"_source":197,"_file":1919,"_stem":1920,"_extension":200,"sitemap":1921},"/blog/a-clearer-view-of-data-normalization","A Clearer View of Data Normalization","Introducing a new view inside the Rosetta Stone Normalization Engine that shows how your data was normalized, confidence levels, and where human review improves outcomes.","2026-02-19T09:00:00.000Z","Uri Bushey","uri-bushey","/img/blog/2026/02/data-normalization.png",[1263,1264,1262],{"type":17,"children":1441,"toc":1909},[1442,1447,1452,1457,1467,1472,1484,1489,1494,1501,1506,1511,1516,1539,1544,1550,1555,1560,1583,1588,1621,1626,1635,1641,1646,1651,1656,1699,1704,1712,1717,1722,1750,1758,1763,1768,1774,1779,1784,1790,1795,1818,1823,1828,1834,1839,1844,1849,1854,1867,1872,1877,1882,1886,1892],{"type":20,"tag":21,"props":1443,"children":1444},{},[1445],{"type":25,"value":1446},"Most data teams don't struggle because they lack tools. They struggle because their data doesn't line up.",{"type":20,"tag":21,"props":1448,"children":1449},{},[1450],{"type":25,"value":1451},"Different schemas. Different naming conventions. Slightly different interpretations of the same concept across sources. Nothing is obviously broken, but nothing is perfectly aligned either.",{"type":20,"tag":21,"props":1453,"children":1454},{},[1455],{"type":25,"value":1456},"That misalignment is where friction lives. Normalization is what fixes it.",{"type":20,"tag":21,"props":1458,"children":1459},{},[1460,1465],{"type":20,"tag":33,"props":1461,"children":1462},{},[1463],{"type":25,"value":1464},"Rosetta AI",{"type":25,"value":1466}," already does the hard work of automatically normalizing messy, inconsistent data into structured, interoperable formats. But until now, much of that work has happened behind the scenes.",{"type":20,"tag":21,"props":1468,"children":1469},{},[1470],{"type":25,"value":1471},"We're changing that.",{"type":20,"tag":21,"props":1473,"children":1474},{},[1475,1477,1482],{"type":25,"value":1476},"We're introducing a new view inside the ",{"type":20,"tag":33,"props":1478,"children":1479},{},[1480],{"type":25,"value":1481},"Rosetta Stone Normalization Engine",{"type":25,"value":1483}," that lets you see how your data was normalized, how confident the system is, and where human review improves outcomes.",{"type":20,"tag":21,"props":1485,"children":1486},{},[1487],{"type":25,"value":1488},"This is a foundational step in the evolution of Rosetta Stone: make messy data structured, and make that transformation visible, understandable, and controllable.",{"type":20,"tag":21,"props":1490,"children":1491},{},[1492],{"type":25,"value":1493},"Normalization shouldn't feel like magic. It should feel like working alongside an intelligent system you can trust.",{"type":20,"tag":1495,"props":1496,"children":1498},"h2",{"id":1497},"why-visibility-matters",[1499],{"type":25,"value":1500},"Why visibility matters",{"type":20,"tag":21,"props":1502,"children":1503},{},[1504],{"type":25,"value":1505},"Normalization is infrastructure. When it works, no one notices. When it doesn't, everything downstream feels unstable.",{"type":20,"tag":21,"props":1507,"children":1508},{},[1509],{"type":25,"value":1510},"Historically, normalization systems operate like this: data goes in, a \"cleaned\" dataset comes out, and teams trust that it's correct — or discover later that something subtle was off. That model doesn't scale.",{"type":20,"tag":21,"props":1512,"children":1513},{},[1514],{"type":25,"value":1515},"If identity graphs, audience activation, analytics, and data products depend on normalized inputs, teams need to understand:",{"type":20,"tag":903,"props":1517,"children":1518},{},[1519,1524,1529,1534],{"type":20,"tag":907,"props":1520,"children":1521},{},[1522],{"type":25,"value":1523},"What was transformed",{"type":20,"tag":907,"props":1525,"children":1526},{},[1527],{"type":25,"value":1528},"How confident the system is",{"type":20,"tag":907,"props":1530,"children":1531},{},[1532],{"type":25,"value":1533},"Where review is recommended",{"type":20,"tag":907,"props":1535,"children":1536},{},[1537],{"type":25,"value":1538},"Which mappings were AI-generated",{"type":20,"tag":21,"props":1540,"children":1541},{},[1542],{"type":25,"value":1543},"Trust comes from understanding how the work was done. This new Rosetta Stone view brings that understanding directly into the workflow.",{"type":20,"tag":1495,"props":1545,"children":1547},{"id":1546},"whats-new-a-view-into-your-normalized-datasets",[1548],{"type":25,"value":1549},"What's new: A View Into Your Normalized Datasets",{"type":20,"tag":21,"props":1551,"children":1552},{},[1553],{"type":25,"value":1554},"Inside Rosetta Stone, you can now see every dataset processed through the normalization engine — along with key signals that help you assess readiness.",{"type":20,"tag":21,"props":1556,"children":1557},{},[1558],{"type":25,"value":1559},"At a glance, you can:",{"type":20,"tag":903,"props":1561,"children":1562},{},[1563,1568,1573,1578],{"type":20,"tag":907,"props":1564,"children":1565},{},[1566],{"type":25,"value":1567},"View all normalized datasets in one place",{"type":20,"tag":907,"props":1569,"children":1570},{},[1571],{"type":25,"value":1572},"See dataset-level average confidence scores",{"type":20,"tag":907,"props":1574,"children":1575},{},[1576],{"type":25,"value":1577},"Identify which datasets are ready to use and which may need review",{"type":20,"tag":907,"props":1579,"children":1580},{},[1581],{"type":25,"value":1582},"Inspect detailed AI-generated mapping suggestions",{"type":20,"tag":21,"props":1584,"children":1585},{},[1586],{"type":25,"value":1587},"Confidence levels are clearly surfaced:",{"type":20,"tag":903,"props":1589,"children":1590},{},[1591,1601,1611],{"type":20,"tag":907,"props":1592,"children":1593},{},[1594,1599],{"type":20,"tag":33,"props":1595,"children":1596},{},[1597],{"type":25,"value":1598},"High confidence (90%+)",{"type":25,"value":1600}," — likely ready for downstream use",{"type":20,"tag":907,"props":1602,"children":1603},{},[1604,1609],{"type":20,"tag":33,"props":1605,"children":1606},{},[1607],{"type":25,"value":1608},"Medium confidence (70–89%)",{"type":25,"value":1610}," — review recommended",{"type":20,"tag":907,"props":1612,"children":1613},{},[1614,1619],{"type":20,"tag":33,"props":1615,"children":1616},{},[1617],{"type":25,"value":1618},"Low confidence (\u003C70%)",{"type":25,"value":1620}," — human input encouraged",{"type":20,"tag":21,"props":1622,"children":1623},{},[1624],{"type":25,"value":1625},"Instead of guessing whether normalization \"looks right,\" you get clear signals before data flows into activation, analytics, or identity workflows.",{"type":20,"tag":21,"props":1627,"children":1628},{},[1629],{"type":20,"tag":1630,"props":1631,"children":1634},"img",{"alt":1632,"src":1633},"Rosetta Stone confidence scores","/img/blog/2026/02/rosetta-confidence-scores.png",[],{"type":20,"tag":1495,"props":1636,"children":1638},{"id":1637},"powered-by-rosetta-ai-guided-by-you",[1639],{"type":25,"value":1640},"Powered by Rosetta AI, guided by you",{"type":20,"tag":21,"props":1642,"children":1643},{},[1644],{"type":25,"value":1645},"As always, Rosetta AI isn't about replacing human judgment. It's about focusing review where it matters.",{"type":20,"tag":21,"props":1647,"children":1648},{},[1649],{"type":25,"value":1650},"It doesn't just \"guess\" at your schema. It analyzes dataset structure, column names, sample values, and semantic context — then maps those fields to a universal attribute layer that standardizes meaning across datasets.",{"type":20,"tag":21,"props":1652,"children":1653},{},[1654],{"type":25,"value":1655},"Under the hood, Rosetta AI combines:",{"type":20,"tag":903,"props":1657,"children":1658},{},[1659,1669,1679,1689],{"type":20,"tag":907,"props":1660,"children":1661},{},[1662,1667],{"type":20,"tag":33,"props":1663,"children":1664},{},[1665],{"type":25,"value":1666},"LLM-powered semantic understanding",{"type":25,"value":1668}," to interpret what fields represent",{"type":20,"tag":907,"props":1670,"children":1671},{},[1672,1677],{"type":20,"tag":33,"props":1673,"children":1674},{},[1675],{"type":25,"value":1676},"Trained classifiers and similarity models",{"type":25,"value":1678}," to validate and refine mappings",{"type":20,"tag":907,"props":1680,"children":1681},{},[1682,1687],{"type":20,"tag":33,"props":1683,"children":1684},{},[1685],{"type":25,"value":1686},"Row-level normalization logic",{"type":25,"value":1688}," to standardize emails, phones, names, addresses, and other identifiers",{"type":20,"tag":907,"props":1690,"children":1691},{},[1692,1697],{"type":20,"tag":33,"props":1693,"children":1694},{},[1695],{"type":25,"value":1696},"Feature extraction",{"type":25,"value":1698}," to prepare data for matching and identity resolution",{"type":20,"tag":21,"props":1700,"children":1701},{},[1702],{"type":25,"value":1703},"The result is structured, interoperable data that can be used consistently across identity graphs, audience workflows, and downstream analytics.",{"type":20,"tag":21,"props":1705,"children":1706},{},[1707],{"type":20,"tag":33,"props":1708,"children":1709},{},[1710],{"type":25,"value":1711},"So, what's new in this release isn't the intelligence. It's the visibility into output.",{"type":20,"tag":21,"props":1713,"children":1714},{},[1715],{"type":25,"value":1716},"You can now see several aspects of that system directly in the UI — including which mappings were AI-generated, how confident the system is, and where human review is recommended.",{"type":20,"tag":21,"props":1718,"children":1719},{},[1720],{"type":25,"value":1721},"When reviewing mappings, you can:",{"type":20,"tag":903,"props":1723,"children":1724},{},[1725,1730,1735,1740,1745],{"type":20,"tag":907,"props":1726,"children":1727},{},[1728],{"type":25,"value":1729},"See AI-generated suggestions grouped by confidence",{"type":20,"tag":907,"props":1731,"children":1732},{},[1733],{"type":25,"value":1734},"Bulk-accept high-confidence mappings",{"type":20,"tag":907,"props":1736,"children":1737},{},[1738],{"type":25,"value":1739},"Review or adjust medium-confidence mappings",{"type":20,"tag":907,"props":1741,"children":1742},{},[1743],{"type":25,"value":1744},"Refine low-confidence transformations",{"type":20,"tag":907,"props":1746,"children":1747},{},[1748],{"type":25,"value":1749},"Provide feedback that improves future results",{"type":20,"tag":21,"props":1751,"children":1752},{},[1753],{"type":20,"tag":1630,"props":1754,"children":1757},{"alt":1755,"src":1756},"Rosetta Stone mapping suggestions","/img/blog/2026/02/rosetta-mapping-suggestions.png",[],{"type":20,"tag":21,"props":1759,"children":1760},{},[1761],{"type":25,"value":1762},"The result is collaborative normalization: automation first, human insight where needed.",{"type":20,"tag":21,"props":1764,"children":1765},{},[1766],{"type":25,"value":1767},"Over time, that feedback loop strengthens model performance and builds institutional confidence in the engine.",{"type":20,"tag":1495,"props":1769,"children":1771},{"id":1770},"who-this-is-for",[1772],{"type":25,"value":1773},"Who this is for",{"type":20,"tag":21,"props":1775,"children":1776},{},[1777],{"type":25,"value":1778},"This view is built for teams responsible for data quality and downstream reliability.",{"type":20,"tag":21,"props":1780,"children":1781},{},[1782],{"type":25,"value":1783},"If you've ever had to answer, \"How confident are we in this data?\" then this release is for you.",{"type":20,"tag":1495,"props":1785,"children":1787},{"id":1786},"what-this-unlocks",[1788],{"type":25,"value":1789},"What this unlocks",{"type":20,"tag":21,"props":1791,"children":1792},{},[1793],{"type":25,"value":1794},"With clearer visibility into normalization:",{"type":20,"tag":903,"props":1796,"children":1797},{},[1798,1803,1808,1813],{"type":20,"tag":907,"props":1799,"children":1800},{},[1801],{"type":25,"value":1802},"Identity graphs rebuild on more reliable foundations",{"type":20,"tag":907,"props":1804,"children":1805},{},[1806],{"type":25,"value":1807},"Audience sizing and activation become more predictable",{"type":20,"tag":907,"props":1809,"children":1810},{},[1811],{"type":25,"value":1812},"Data products inherit structured, consistent inputs",{"type":20,"tag":907,"props":1814,"children":1815},{},[1816],{"type":25,"value":1817},"Compliance teams gain clearer transformation oversight",{"type":20,"tag":21,"props":1819,"children":1820},{},[1821],{"type":25,"value":1822},"Rosetta AI handles normalization at scale. This release ensures you can see and guide that work. Normalization moves from background automation to an active, transparent part of your workflow.",{"type":20,"tag":21,"props":1824,"children":1825},{},[1826],{"type":25,"value":1827},"And that shift matters.",{"type":20,"tag":1495,"props":1829,"children":1831},{"id":1830},"built-for-where-rosetta-stone-is-headed",[1832],{"type":25,"value":1833},"Built for where Rosetta Stone is headed",{"type":20,"tag":21,"props":1835,"children":1836},{},[1837],{"type":25,"value":1838},"Normalization isn't a feature, it's the infrastructure.",{"type":20,"tag":21,"props":1840,"children":1841},{},[1842],{"type":25,"value":1843},"Rosetta Stone uses a shared attribute layer to create a common semantic language across datasets. LLMs and machine learning models interpret raw schemas and map them to that layer. Row-level normalization standardizes values for comparability. Feature extraction prepares data for matching and identity workflows.",{"type":20,"tag":21,"props":1845,"children":1846},{},[1847],{"type":25,"value":1848},"All of that happens before data is activated, analyzed, or shared.",{"type":20,"tag":21,"props":1850,"children":1851},{},[1852],{"type":25,"value":1853},"If you want a deeper look at how Rosetta Stone works under the hood, we break it down here:",{"type":20,"tag":21,"props":1855,"children":1856},{},[1857],{"type":20,"tag":44,"props":1858,"children":1861},{"href":1859,"rel":1860},"https://www.narrative.io/blog/how-narrative-rosetta-stone-transforms-identity-resolution",[538],[1862],{"type":20,"tag":33,"props":1863,"children":1864},{},[1865],{"type":25,"value":1866},"How Narrative Rosetta Stone Transforms Identity Resolution →",{"type":20,"tag":21,"props":1868,"children":1869},{},[1870],{"type":25,"value":1871},"This release makes that foundation visible.",{"type":20,"tag":21,"props":1873,"children":1874},{},[1875],{"type":25,"value":1876},"Rosetta AI continues to do the heavy lifting: aligning, structuring, and normalizing messy data at scale. What's new is your ability to see how it was done, assess confidence before activation, and guide improvements where precision matters.",{"type":20,"tag":21,"props":1878,"children":1879},{},[1880],{"type":25,"value":1881},"When normalization is both automated and transparent, everything built on top of it becomes more reliable.",{"type":20,"tag":21,"props":1883,"children":1884},{},[1885],{"type":25,"value":1827},{"type":20,"tag":1495,"props":1887,"children":1889},{"id":1888},"available-now",[1890],{"type":25,"value":1891},"Available now",{"type":20,"tag":21,"props":1893,"children":1894},{},[1895,1897,1902,1904],{"type":25,"value":1896},"This new normalization view is ",{"type":20,"tag":33,"props":1898,"children":1899},{},[1900],{"type":25,"value":1901},"generally available",{"type":25,"value":1903}," to contracted customers. If you're already using Narrative, you can access it today within: ",{"type":20,"tag":33,"props":1905,"children":1906},{},[1907],{"type":25,"value":1908},"Rosetta Stone",{"title":8,"searchDepth":193,"depth":193,"links":1910},[1911,1912,1913,1914,1915,1916,1917],{"id":1497,"depth":193,"text":1500},{"id":1546,"depth":193,"text":1549},{"id":1637,"depth":193,"text":1640},{"id":1770,"depth":193,"text":1773},{"id":1786,"depth":193,"text":1789},{"id":1830,"depth":193,"text":1833},{"id":1888,"depth":193,"text":1891},"content:blog:a-clearer-view-of-data-normalization.md","blog/a-clearer-view-of-data-normalization.md","blog/a-clearer-view-of-data-normalization",{"loc":1432},{"_path":1923,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":1924,"description":1925,"publishDate":1926,"author":1927,"ogImage":1928,"image":1928,"tags":1929,"authorSlug":1932,"body":1933,"_type":195,"_id":2162,"_source":197,"_file":2163,"_stem":2164,"_extension":200,"sitemap":2165},"/blog/ai-tool-calling","Transform your AI from a passive responder to an active problem solver","Transform chatbots into active system orchestrators—streamline tasks, unify data, and drive real-time results.","2025-01-16T15:27:10.000Z","Matt Linehan","/img/blog/2025/01/tool-calling-blog.png",[1262,1263,1930,1931,1264],"tool calling","model training","matt-linehan",{"type":17,"children":1934,"toc":2159},[1935,1940,1948,1953,1958,1966,1971,1976,1986,1994,1999,2005,2009,2014,2019,2027,2032,2037,2045,2050,2104,2109,2117,2122,2127,2135,2140,2145],{"type":20,"tag":21,"props":1936,"children":1937},{},[1938],{"type":25,"value":1939},"Training AI models is more than just a trend. It’s quickly becoming essential for organizations looking to stay competitive. But getting a model to do what you need—beyond answering basic questions—has always been tricky. This is where tool-calling comes in. It’s the feature that transforms a chatbot into a real systems expert that can interact directly with your enterprise tech stack. Here’s why it matters.",{"type":20,"tag":21,"props":1941,"children":1942},{},[1943],{"type":20,"tag":33,"props":1944,"children":1945},{},[1946],{"type":25,"value":1947},"The Value of AI and Model Training",{"type":20,"tag":21,"props":1949,"children":1950},{},[1951],{"type":25,"value":1952},"AI and machine learning have been around for a while, but they’re often seen as black boxes—intelligent, sure, but not exactly hands-on. When trained right, these models can automate tasks, improve decision-making, and streamline operations. Think of them as your digital workforce, capable of handling repetitive tasks that would otherwise drain human resources.",{"type":20,"tag":21,"props":1954,"children":1955},{},[1956],{"type":25,"value":1957},"The challenge? Training AI models isn’t a plug-and-play situation. It requires vast amounts of data, resources, and, let’s face it, a lot of trial and error. So, while organizations know that AI has potential, most struggle to unlock that value.",{"type":20,"tag":21,"props":1959,"children":1960},{},[1961],{"type":20,"tag":33,"props":1962,"children":1963},{},[1964],{"type":25,"value":1965},"Training Models is Hard Work",{"type":20,"tag":21,"props":1967,"children":1968},{},[1969],{"type":25,"value":1970},"You can’t just throw a bunch of data at an AI model and call it a day. The training process involves structuring that data, fine-tuning models to understand nuances, and constantly testing and iterating until it works right. That’s not only time-consuming—it’s also expensive. For most organizations, this becomes an overwhelming task, and at the end of the day, they’re left with models that don’t do much beyond basic tasks.",{"type":20,"tag":21,"props":1972,"children":1973},{},[1974],{"type":25,"value":1975},"The biggest hurdle is that AI systems often don’t know how to interact with the other systems in your company. They might understand language well enough to have a conversation, but they don’t know how to check inventory, pull customer data, or update a CRM. This means your AI isn’t as useful as it could be—it’s more like a consultant who has great ideas but no ability to execute them.",{"type":20,"tag":21,"props":1977,"children":1978},{},[1979],{"type":20,"tag":44,"props":1980,"children":1983},{"href":1981,"rel":1982},"https://www.narrative.io/blog/sustainable-ai-starts-with-data",[538],[1984],{"type":25,"value":1985},"Read more about ethical and sustainable model training",{"type":20,"tag":21,"props":1987,"children":1988},{},[1989],{"type":20,"tag":33,"props":1990,"children":1991},{},[1992],{"type":25,"value":1993},"AI is Only Valuable if It’s Useful",{"type":20,"tag":21,"props":1995,"children":1996},{},[1997],{"type":25,"value":1998},"The true value of AI comes from how it integrates into the existing workflows of your organization. A model that can provide valuable insights without the ability to act on them is like a chef with no kitchen. But if your AI can tap into your existing systems—whether that’s pulling data from your customer service platform or updating sales leads in your CRM—it becomes indispensable.",{"type":20,"tag":1495,"props":2000,"children":2002},{"id":2001},"this-is-where-tool-calling-changes-everything",[2003],{"type":25,"value":2004},"This is where tool-calling changes everything.",{"type":20,"tag":2006,"props":2007,"children":2008},"br",{},[],{"type":20,"tag":21,"props":2010,"children":2011},{},[2012],{"type":25,"value":2013},"Tool-calling is a feature that lets your AI models interact directly with your organization’s technology stack. It allows the model to take actions—such as querying a database, updating a record, or interacting with a third-party system—based on the data it’s trained on. Essentially, it turns AI from a passive observer into an active participant.",{"type":20,"tag":21,"props":2015,"children":2016},{},[2017],{"type":25,"value":2018},"For example, imagine your AI model is trained to provide customer service. With tool-calling, it doesn’t just answer customer queries—it can pull up order histories, update customer profiles, or even trigger follow-up emails. It’s not just responding; it’s _doing_—in real-time, using your existing infrastructure.",{"type":20,"tag":21,"props":2020,"children":2021},{},[2022],{"type":20,"tag":33,"props":2023,"children":2024},{},[2025],{"type":25,"value":2026},"How Tool-Calling Solves Common Challenges",{"type":20,"tag":21,"props":2028,"children":2029},{},[2030],{"type":25,"value":2031},"When it comes to organizations, one of the biggest pain points is siloed systems. Often, data is fragmented across different platforms, making it hard for teams to collaborate efficiently. This is where tool-calling comes in handy. By allowing AI models to bridge the gaps between systems, tool-calling ensures that your technology stack isn’t just a collection of disparate tools—it’s a cohesive, unified ecosystem.",{"type":20,"tag":21,"props":2033,"children":2034},{},[2035],{"type":25,"value":2036},"Another major challenge is model accuracy. Training models is a balancing act, and getting them to perform well is often a game of trial and error. Tool-calling can help speed up this process by allowing models to learn in real-time from interactions with enterprise systems. This creates a feedback loop that improves performance and leads to faster, more accurate results.",{"type":20,"tag":21,"props":2038,"children":2039},{},[2040],{"type":20,"tag":33,"props":2041,"children":2042},{},[2043],{"type":25,"value":2044},"Real-World Examples of Tool-Calling in Action",{"type":20,"tag":21,"props":2046,"children":2047},{},[2048],{"type":25,"value":2049},"Let’s look at a few scenarios where tool-calling really shines:",{"type":20,"tag":2051,"props":2052,"children":2053},"ol",{},[2054,2064,2074,2084,2094],{"type":20,"tag":907,"props":2055,"children":2056},{},[2057,2062],{"type":20,"tag":33,"props":2058,"children":2059},{},[2060],{"type":25,"value":2061},"Customer Support",{"type":25,"value":2063},": Your AI model can automatically look up customer information, log tickets, and even escalate complex issues to human agents—all in real-time. This streamlines operations, reduces the need for manual intervention, and improves customer satisfaction.",{"type":20,"tag":907,"props":2065,"children":2066},{},[2067,2072],{"type":20,"tag":33,"props":2068,"children":2069},{},[2070],{"type":25,"value":2071},"Sales Automation",{"type":25,"value":2073},": Imagine an AI model trained to generate sales leads. With tool-calling, it can not only identify potential clients but also update CRM systems, send personalized emails, and set follow-up reminders based on client behavior.",{"type":20,"tag":907,"props":2075,"children":2076},{},[2077,2082],{"type":20,"tag":33,"props":2078,"children":2079},{},[2080],{"type":25,"value":2081},"Supply Chain Optimization",{"type":25,"value":2083},": Tool-calling enables AI to analyze inventory data, predict demand, and automatically reorder products when stock is low, all while interacting with your ERP system to keep everything running smoothly.",{"type":20,"tag":907,"props":2085,"children":2086},{},[2087,2092],{"type":20,"tag":33,"props":2088,"children":2089},{},[2090],{"type":25,"value":2091},"Financial Services",{"type":25,"value":2093},": In banking or investment firms, AI can be trained to assess credit risk or process transactions. With tool-calling, it can pull up real-time financial data from enterprise systems, analyze trends, and even make real-time predictions or recommendations. For example, if a customer applies for a loan, the AI can query their financial history, credit score, and the bank's internal systems to make a personalized decision, speeding up approval times and improving customer experience.",{"type":20,"tag":907,"props":2095,"children":2096},{},[2097,2102],{"type":20,"tag":33,"props":2098,"children":2099},{},[2100],{"type":25,"value":2101},"Manufacturing",{"type":25,"value":2103},": AI integrated with IoT devices can transform the manufacturing floor. With tool-calling, the AI can pull data from sensors on machinery to predict maintenance needs or identify operational bottlenecks. It could automatically trigger maintenance orders, adjust production schedules based on real-time machine health, and communicate directly with the inventory management system to reorder parts, minimizing downtime and maximizing efficiency.",{"type":20,"tag":21,"props":2105,"children":2106},{},[2107],{"type":25,"value":2108},"These aren’t just theoretical benefits—they’re practical applications that organizations can start implementing today.",{"type":20,"tag":21,"props":2110,"children":2111},{},[2112],{"type":20,"tag":33,"props":2113,"children":2114},{},[2115],{"type":25,"value":2116},"Model Studio: The Tool You Need to Unlock AI’s Full Potential",{"type":20,"tag":21,"props":2118,"children":2119},{},[2120],{"type":25,"value":2121},"So, how can your organization take advantage of this tool-calling magic? That’s where Model Studio comes in. Model Studio from Narrative is designed to make training AI models with tool-calling capabilities accessible to all organizations, no matter their size or technical expertise. With intuitive libraries and seamless integrations, it empowers users to create models that not only understand language but also engage with your technology ecosystem.",{"type":20,"tag":21,"props":2123,"children":2124},{},[2125],{"type":25,"value":2126},"Model Studio eliminates the guesswork. It provides everything you need to build models that can _do_—not just respond. Whether you're looking to automate customer support, streamline sales processes, or improve decision-making, this platform is built to help you unlock AI’s full potential.",{"type":20,"tag":21,"props":2128,"children":2129},{},[2130],{"type":20,"tag":33,"props":2131,"children":2132},{},[2133],{"type":25,"value":2134},"The Future is Action-Oriented AI",{"type":20,"tag":21,"props":2136,"children":2137},{},[2138],{"type":25,"value":2139},"The bottom line is this: If AI is going to live up to its potential, it needs to be able to act, not just converse. Tool-calling is the bridge that connects AI to your enterprise systems, making it more valuable, accurate, and capable of driving real business outcomes. And with platforms like Model Studio, it’s easier than ever to harness this power.",{"type":20,"tag":21,"props":2141,"children":2142},{},[2143],{"type":25,"value":2144},"If you want AI that works for you—not just talks at you—tool-calling is the way forward. It’s not just about training smarter models; it’s about creating smarter systems.",{"type":20,"tag":21,"props":2146,"children":2147},{},[2148],{"type":20,"tag":44,"props":2149,"children":2152},{"href":2150,"rel":2151},"https://www.narrative.io/contact/book-a-demo",[538],[2153,2158],{"type":20,"tag":33,"props":2154,"children":2155},{},[2156],{"type":25,"value":2157},"Click to book a demo today",{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":2160},[2161],{"id":2001,"depth":193,"text":2004},"content:blog:ai-tool-calling.md","blog/ai-tool-calling.md","blog/ai-tool-calling",{"loc":1923},{"_path":2167,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":2168,"description":2169,"publishDate":2170,"author":1927,"ogImage":2171,"image":2171,"tags":2172,"authorSlug":1932,"body":2175,"_type":195,"_id":2654,"_source":197,"_file":2655,"_stem":2656,"_extension":200,"sitemap":2657},"/blog/ai-training-and-fine-tuning-for-enterprises","AI Training and Fine-Tuning for Enterprises–A Guide to Data Collaboration and Model Customization","Enterprises struggle to fine-tune AI because their data is fragmented, inconsistent, and hard to manage. 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We use a combination of ",{"type":20,"tag":44,"props":2736,"children":2739},{"href":2737,"rel":2738},"https://www.datadoghq.com/",[538],[2740],{"type":25,"value":2741},"DataDog",{"type":25,"value":2743},", PagerDuty, and AWS SNS to ensure that our systems are running smoothly and someone is alerted when anything looks off.",{"type":20,"tag":223,"props":2745,"children":2747},{"id":2746},"geeking-out",[2748],{"type":25,"value":2749},"Geeking out",{"type":20,"tag":21,"props":2751,"children":2752},{},[2753],{"type":25,"value":2754},"We love getting into the weeds and talking about what we're doing on a technical level. If this is your sort of thing, keep an eye out as this will be an ongoing series of blog posts.",{"title":8,"searchDepth":193,"depth":193,"links":2756},[2757,2758,2759,2760,2761],{"id":2670,"depth":380,"text":2673},{"id":2681,"depth":380,"text":2684},{"id":2692,"depth":380,"text":2695},{"id":2726,"depth":380,"text":2729},{"id":2746,"depth":380,"text":2749},"content:blog:an-introduction-to-narrative-engineering.md","blog/an-introduction-to-narrative-engineering.md","blog/an-introduction-to-narrative-engineering",{"loc":2659},{"_path":2767,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":2768,"description":2769,"publishDate":2770,"author":2771,"ogImage":2772,"image":2772,"tags":2773,"body":2774,"_type":195,"_id":3085,"_source":197,"_file":3086,"_stem":3087,"_extension":200,"sitemap":3088},"/blog/attributes-vs-actions","Behavioral & Reported Data: When You Should Focus On Your Audience’s Attributes vs. Actions","Different data types play important roles and this quick guide gives examples when and how to use those data types effectively. ","2022-11-15 14:18:28","AnalyticsIQ","/img/blog/2022/11/04-16.png",[],{"type":17,"children":2775,"toc":3079},[2776,2799,2830,2848,2853,2858,2863,2868,2873,2878,2883,2888,2902,2907,2912,2926,2932,2945,2968,2972,2977,3005,3009,3014,3047,3051,3056],{"type":20,"tag":21,"props":2777,"children":2778},{},[2779,2784,2785,2795],{"type":20,"tag":2347,"props":2780,"children":2781},{},[2782],{"type":25,"value":2783},"This is a guest post contributed by",{"type":25,"value":177},{"type":20,"tag":44,"props":2786,"children":2789},{"href":2787,"rel":2788},"https://analytics-iq.com/",[538],[2790],{"type":20,"tag":2347,"props":2791,"children":2792},{},[2793],{"type":25,"value":2794},"predictive marketing data innovator AnalyticsIQ",{"type":20,"tag":2347,"props":2796,"children":2797},{},[2798],{"type":25,"value":191},{"type":20,"tag":21,"props":2800,"children":2801},{},[2802,2804,2811,2813,2820,2821,2828],{"type":25,"value":2803},"Brands have a seemingly endless number of options when it comes to audience data attributes, especially via ",{"type":20,"tag":44,"props":2805,"children":2808},{"href":2806,"rel":2807},"https://analytics-iq.com/analyticsiq-joins-narratives-data-streaming-platform-to-transparently-and-confidently-connect-data-users-with-a-360-degree-view-of-individuals/",[538],[2809],{"type":25,"value":2810},"data collaboration platforms like Narrative",{"type":25,"value":2812},". As a data innovator ourselves at AnalyticsIQ, not only do we deliver ",{"type":20,"tag":44,"props":2814,"children":2817},{"href":2815,"rel":2816},"https://analytics-iq.com/what-we-do/",[538],[2818],{"type":25,"value":2819},"B2C data",{"type":25,"value":160},{"type":20,"tag":44,"props":2822,"children":2825},{"href":2823,"rel":2824},"https://analytics-iq.com/businesscore/",[538],[2826],{"type":25,"value":2827},"B2B data",{"type":25,"value":2829},", but within each of these respective databases, we focus on three primary categories:",{"type":20,"tag":2051,"props":2831,"children":2832},{},[2833,2838,2843],{"type":20,"tag":907,"props":2834,"children":2835},{},[2836],{"type":25,"value":2837},"People",{"type":20,"tag":907,"props":2839,"children":2840},{},[2841],{"type":25,"value":2842},"Behaviors",{"type":20,"tag":907,"props":2844,"children":2845},{},[2846],{"type":25,"value":2847},"Predictors",{"type":20,"tag":21,"props":2849,"children":2850},{},[2851],{"type":25,"value":2852},"Each of these data types plays an important role in identifying a target audience. But a question we hear often from marketers, data scientists, and partners is, “When is the right time to use these different types of data?”.  ",{"type":20,"tag":21,"props":2854,"children":2855},{},[2856],{"type":25,"value":2857},"So we’re here to share a quick guide of top use cases and times when it makes the most sense to use one, two, or all three of these types of data points.",{"type":20,"tag":223,"props":2859,"children":2861},{"id":2860},"people",[2862],{"type":25,"value":2837},{"type":20,"tag":21,"props":2864,"children":2865},{},[2866],{"type":25,"value":2867},"Consider the ‘People’ category to be the one-dimensional facts about an individual. This could be their age, income, or even where they live. They are core to understanding someone’s life stage and buying power. But it’s a bit like painting a picture in black and white.",{"type":20,"tag":21,"props":2869,"children":2870},{},[2871],{"type":25,"value":2872},"Just think of yourself. I’m sure there is at least one friend your age that comes to mind who has very different wants, needs, interests, and motivations than you. Perhaps you’re a sneaker-head and don’t mind spending $500 on a pair of hard-to-find shoes. While your friend is more motivated to put that same $500 into their crypto account. So while People-focused attributes do a solid – and essential job – of drawing the outline of who someone is, layering in behaviors and predictors is key to developing the full color picture that will drive true results.",{"type":20,"tag":223,"props":2874,"children":2876},{"id":2875},"behaviors",[2877],{"type":25,"value":2842},{"type":20,"tag":21,"props":2879,"children":2880},{},[2881],{"type":25,"value":2882},"As the old adage goes, “Actions speak louder than words.” No surprise that so many marketers turn to behavioral data. Behavioral data can be both historical and predictive. For instance, brands can utilize past behaviors like previous purchases to retarget users. They can also then use this past data, in combination with People attributes, to build predictive models and answer the question, “Who is most likely to take this same action in the future?”.",{"type":20,"tag":21,"props":2884,"children":2885},{},[2886],{"type":25,"value":2887},"As in the case of People data, however, looking at behaviors only tells one part of the story. Someone may have visited the Range Rover website, potentially indicating interest. Does that necessarily mean they are a qualified potential buyer? Without applying People attributes, brands would not realize that the site visitor is actually an 18-year-old recent high school grad who loves cars but doesn’t have the means to afford a $100k SUV at this time.",{"type":20,"tag":21,"props":2889,"children":2890},{},[2891,2893,2900],{"type":25,"value":2892},"Let’s flip the script. What if the site visitor was a qualified buyer? What ",{"type":20,"tag":44,"props":2894,"children":2897},{"href":2895,"rel":2896},"https://analytics-iq.com/automotive-data-predictive-consumer-behaviors/",[538],[2898],{"type":25,"value":2899},"other information",{"type":25,"value":2901}," could be helpful to move them along the customer journey? ‘Predictors’ around attitudes and motivations.",{"type":20,"tag":223,"props":2903,"children":2905},{"id":2904},"predictors",[2906],{"type":25,"value":2847},{"type":20,"tag":21,"props":2908,"children":2909},{},[2910],{"type":25,"value":2911},"If people-data are the cake and behavioral data are the frosting on top, then predictors are the side of ice cream that makes for a complete experience. As we mentioned in the example above, by understanding what drives someone to take the actions they do, you can help move them through the journey by providing them with personalized products and experiences.",{"type":20,"tag":21,"props":2913,"children":2914},{},[2915,2917,2924],{"type":25,"value":2916},"For example, if you knew that the individual interested in Range Rovers (behavior) was actually a qualified buyer (people) and was a risk-averse person (predictors), then you could ensure your message lined up to tout the vehicle’s safety features as well as the fact that financing options are the lowest they will be for the year, another safe bet for the risk-averse buyer.  Once again, however, there may be times when ",{"type":20,"tag":44,"props":2918,"children":2921},{"href":2919,"rel":2920},"https://analytics-iq.com/wp-content/uploads/AnalyticsIQ-MotivatorIQ-Product-Sheet.pdf",[538],[2922],{"type":25,"value":2923},"predictive attitude and motivation data",{"type":25,"value":2925}," can be powerful on its own, like when you’re selling luxury products or trying to drive donations, and must really understand the hearts of your audience. But when combined with People and Behavior data, attitudinal can be even more powerful.",{"type":20,"tag":223,"props":2927,"children":2929},{"id":2928},"tldr",[2930],{"type":25,"value":2931},"TLDR",{"type":20,"tag":21,"props":2933,"children":2934},{},[2935,2937,2944],{"type":25,"value":2936},"Did you skim this article and just want to see the Cliff’s notes version? We’ve summarized these best practices in the simple chart below. Of course, there is no one-size-fits-all approach, but by letting this framework guide you, you’ll be in a position to know when it makes the most sense to use them on their own and also when to blend them together for an even more ",{"type":20,"tag":44,"props":2938,"children":2941},{"href":2939,"rel":2940},"https://analytics-iq.com/want-to-be-consumer-centric-let-the-data-and-analytics-lead-you/",[538],[2942],{"type":25,"value":2943},"sophisticated, customized approach",{"type":25,"value":191},{"type":20,"tag":21,"props":2946,"children":2947},{},[2948,2953,2958,2963],{"type":20,"tag":33,"props":2949,"children":2950},{},[2951],{"type":25,"value":2952},"Data Type",{"type":20,"tag":33,"props":2954,"children":2955},{},[2956],{"type":25,"value":2957},"Examples",{"type":20,"tag":33,"props":2959,"children":2960},{},[2961],{"type":25,"value":2962},"Top Use Cases",{"type":20,"tag":33,"props":2964,"children":2965},{},[2966],{"type":25,"value":2967},"Usage Details",{"type":20,"tag":21,"props":2969,"children":2970},{},[2971],{"type":25,"value":2837},{"type":20,"tag":21,"props":2973,"children":2974},{},[2975],{"type":25,"value":2976},"Age, Gender, Marital Status, Income, Children, Employment",{"type":20,"tag":903,"props":2978,"children":2979},{},[2980,2985,2990,2995,3000],{"type":20,"tag":907,"props":2981,"children":2982},{},[2983],{"type":25,"value":2984},"Mass media targeting with broad reach goals",{"type":20,"tag":907,"props":2986,"children":2987},{},[2988],{"type":25,"value":2989},"Targeting commoditized, universal products (ex: toilet paper)",{"type":20,"tag":907,"props":2991,"children":2992},{},[2993],{"type":25,"value":2994},"Building an audience on a small data budget",{"type":20,"tag":907,"props":2996,"children":2997},{},[2998],{"type":25,"value":2999},"May be used alone to maintain scale but may not provide a competitive edge.",{"type":20,"tag":907,"props":3001,"children":3002},{},[3003],{"type":25,"value":3004},"More powerful in combination with Behaviors & Predictors.",{"type":20,"tag":21,"props":3006,"children":3007},{},[3008],{"type":25,"value":2842},{"type":20,"tag":21,"props":3010,"children":3011},{},[3012],{"type":25,"value":3013},"Past Purchases, Lifestyle Interests, Social Media Usage, Health & Wellness",{"type":20,"tag":903,"props":3015,"children":3016},{},[3017,3022,3027,3032,3037,3042],{"type":20,"tag":907,"props":3018,"children":3019},{},[3020],{"type":25,"value":3021},"Digital retargeting",{"type":20,"tag":907,"props":3023,"children":3024},{},[3025],{"type":25,"value":3026},"Identifying potential in-market shoppers",{"type":20,"tag":907,"props":3028,"children":3029},{},[3030],{"type":25,"value":3031},"Planning cross-channel media mix",{"type":20,"tag":907,"props":3033,"children":3034},{},[3035],{"type":25,"value":3036},"Building predictive models",{"type":20,"tag":907,"props":3038,"children":3039},{},[3040],{"type":25,"value":3041},"When used alone, okay for smaller, less scalable executions.",{"type":20,"tag":907,"props":3043,"children":3044},{},[3045],{"type":25,"value":3046},"More powerful when used in combination with People data.",{"type":20,"tag":21,"props":3048,"children":3049},{},[3050],{"type":25,"value":2847},{"type":20,"tag":21,"props":3052,"children":3053},{},[3054],{"type":25,"value":3055},"Spontaneous vs Conscientious, Internal vs External Motivations, Future Actions & Behaviors",{"type":20,"tag":903,"props":3057,"children":3058},{},[3059,3064,3069,3074],{"type":20,"tag":907,"props":3060,"children":3061},{},[3062],{"type":25,"value":3063},"Reaching audience for emotional or highly personal products (non-profits, financial services, luxury goods)",{"type":20,"tag":907,"props":3065,"children":3066},{},[3067],{"type":25,"value":3068},"Personalizing products and messaging to align",{"type":20,"tag":907,"props":3070,"children":3071},{},[3072],{"type":25,"value":3073},"Least common to be used alone.",{"type":20,"tag":907,"props":3075,"children":3076},{},[3077],{"type":25,"value":3078},"More often paired with other data so that messaging and promotional offers can be tailored based on motivations and attitudes.",{"title":8,"searchDepth":193,"depth":193,"links":3080},[3081,3082,3083,3084],{"id":2860,"depth":380,"text":2837},{"id":2875,"depth":380,"text":2842},{"id":2904,"depth":380,"text":2847},{"id":2928,"depth":380,"text":2931},"content:blog:attributes-vs-actions.md","blog/attributes-vs-actions.md","blog/attributes-vs-actions",{"loc":2767},{"_path":3090,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":3091,"description":3092,"publishDate":3093,"author":3094,"ogImage":3095,"image":3095,"tags":3096,"authorSlug":3099,"body":3100,"_type":195,"_id":3262,"_source":197,"_file":3263,"_stem":3264,"_extension":200,"sitemap":3265},"/blog/be-ready-for-anything-with-ever-changing-walled-gardens","With Walled Gardens Constantly Changing Their Mind, Be Ready for Anything","Google’s announcement that it was backtracking on its plan to deprecate third-party cookies in Chrome isn’t the end of the story; it’s just the latest twist in this years-long drama over how digital advertising and user privacy are balanced.","2024-07-24 11:00:00","Nick Jordan","/img/blog/2024/07/no-more-cookies.png",[1262,3097,3098],"cookies","identity","nick-jordan",{"type":17,"children":3101,"toc":3260},[3102,3110,3114,3119,3127,3132,3137,3142,3150,3164,3178,3183,3191,3196,3201,3209,3214,3222,3227,3232,3240,3245,3250,3255],{"type":20,"tag":21,"props":3103,"children":3104},{},[3105],{"type":20,"tag":33,"props":3106,"children":3107},{},[3108],{"type":25,"value":3109},"Despite Google’s Reversal, There’s No Going Back On Cookie Deprecation",{"type":20,"tag":21,"props":3111,"children":3112},{},[3113],{"type":25,"value":3092},{"type":20,"tag":21,"props":3115,"children":3116},{},[3117],{"type":25,"value":3118},"While this decision might seem like a reprieve for some in ad tech, the reality reflects a state of constant flux — a crucial point we've always emphasized— which means that marketers need to constantly adapt and continue to future-proof their data strategy.",{"type":20,"tag":21,"props":3120,"children":3121},{},[3122],{"type":20,"tag":33,"props":3123,"children":3124},{},[3125],{"type":25,"value":3126},"Uncertainty Remains the Only Constant",{"type":20,"tag":21,"props":3128,"children":3129},{},[3130],{"type":25,"value":3131},"Google's reversal on “turning off” cookies in Chrome, then, is not a return to the status quo, but rather a reminder of the volatility of the digital advertising ecosystem.",{"type":20,"tag":21,"props":3133,"children":3134},{},[3135],{"type":25,"value":3136},"How long have we seen “the slow death of cookies” in headlines and at panel discussions? The tech giant can change course again at any moment. But one thing that is beyond Google’s whims is the gradual degradation of third-party cookie effectiveness; it will continue.",{"type":20,"tag":21,"props":3138,"children":3139},{},[3140],{"type":25,"value":3141},"However, this is an inflection point. And the best  response to it demands that marketers be even more flexible in their approach to data collaboration and identity resolution.",{"type":20,"tag":21,"props":3143,"children":3144},{},[3145],{"type":20,"tag":33,"props":3146,"children":3147},{},[3148],{"type":25,"value":3149},"Embracing Optionality with Narrative",{"type":20,"tag":21,"props":3151,"children":3152},{},[3153,3155,3162],{"type":25,"value":3154},"Even leaving Google’s move aside, relying on a single solution or identity graph is no longer sufficient. Narrative's platform is designed with this reality in mind. Our ",{"type":20,"tag":44,"props":3156,"children":3159},{"href":3157,"rel":3158},"https://www.narrative.io/blog/the-future-of-identity-graphs",[538],[3160],{"type":25,"value":3161},"ID-agnostic approach",{"type":25,"value":3163}," allows businesses to seamlessly transition between different ID types and providers.",{"type":20,"tag":21,"props":3165,"children":3166},{},[3167,3169,3176],{"type":25,"value":3168},"It’s all about providing more agile uses for accessing and sharing data. The ",{"type":20,"tag":44,"props":3170,"children":3173},{"href":3171,"rel":3172},"https://www.narrative.io/blog/unlocking-data-collaboration-with-narrative-anywhere",[538],[3174],{"type":25,"value":3175},"Narrative Anywhere",{"type":25,"value":3177}," platform’s global reach enables companies to seamlessly construct and manage identity graphs across multiple countries with the same ease as local operations. Our advanced filtering systems allow for dynamic adjustments in response to changes in operational scopes or data needs.",{"type":20,"tag":21,"props":3179,"children":3180},{},[3181],{"type":25,"value":3182},"Ultimately, your data strategy can’t depend on what Google is doing — or not doing — at a given moment. If anything, today’s news should free everyone up to look beyond the company’s decisions.",{"type":20,"tag":21,"props":3184,"children":3185},{},[3186],{"type":20,"tag":33,"props":3187,"children":3188},{},[3189],{"type":25,"value":3190},"The Power of Multiple Providers",{"type":20,"tag":21,"props":3192,"children":3193},{},[3194],{"type":25,"value":3195},"We honestly believe that the period of depending on a single partner for all your identity needs is over.",{"type":20,"tag":21,"props":3197,"children":3198},{},[3199],{"type":25,"value":3200},"Narrative's platform excels in deduplicating across numerous providers, helping you achieve cost-effective incrementality. Our marketplace offers unparalleled scale in identity data from dozens of global providers, spanning both offline and online data sources. This breadth ensures you're not left scrambling when industry shifts occur.",{"type":20,"tag":21,"props":3202,"children":3203},{},[3204],{"type":20,"tag":33,"props":3205,"children":3206},{},[3207],{"type":25,"value":3208},"Privacy-First with Narrative Anywhere",{"type":20,"tag":21,"props":3210,"children":3211},{},[3212],{"type":25,"value":3213},"As privacy concerns continue to shape the digital landscape, Narrative remains at the forefront of secure data collaboration. Our recently launched 'Narrative Anywhere' technology, detailed in our blog \"Unlocking Powerful, Secure Data Collaboration with Narrative Anywhere,\" allows you to leverage our AI-powered tools within your existing data environments. This approach minimizes data movement and enhances security, ensuring you can adapt to privacy regulations without compromising on data utility.",{"type":20,"tag":21,"props":3215,"children":3216},{},[3217],{"type":20,"tag":33,"props":3218,"children":3219},{},[3220],{"type":25,"value":3221},"A Vision for the Future: Chrome ID",{"type":20,"tag":21,"props":3223,"children":3224},{},[3225],{"type":25,"value":3226},"Looking ahead, we believe Google should consider implementing a \"Chrome ID\" for browsers, similar to the IDFA and GAID in app ecosystems.",{"type":20,"tag":21,"props":3228,"children":3229},{},[3230],{"type":25,"value":3231},"Adopting a Chrome ID would offer consumers a clear choice and establish a transparent value exchange between users and advertisers. It could potentially improve user experiences by eliminating the need for extensive ID syncing, a primary drawback of the current cookie system.",{"type":20,"tag":21,"props":3233,"children":3234},{},[3235],{"type":20,"tag":33,"props":3236,"children":3237},{},[3238],{"type":25,"value":3239},"No Escape from Complexity",{"type":20,"tag":21,"props":3241,"children":3242},{},[3243],{"type":25,"value":3244},"As we noted above, Google’s pass on killing the cookie in Chrome doesn’t turn back the clock to a simpler time. (Was there ever a “simple time” in online advertising?)",{"type":20,"tag":21,"props":3246,"children":3247},{},[3248],{"type":25,"value":3249},"The data landscape is only going to get more and more complex. There’s no escaping that.  There's no one-size-fits-all solution. There’s no single identity graph that can meet all your needs.",{"type":20,"tag":21,"props":3251,"children":3252},{},[3253],{"type":25,"value":3254},"The only defense you have is recognizing that flexibility in data service providers is key, and therefore relying on just one partner is no longer a viable strategy.",{"type":20,"tag":21,"props":3256,"children":3257},{},[3258],{"type":25,"value":3259},"This is where Narrative shines. Our platform offers an agnostic approach, allowing you to seamlessly work with multiple providers and identity solutions. We simplify change management by deduplicating data across various sources, enabling you to achieve cost-effective incrementality. With Narrative, you're not locked into a single ecosystem — instead, you have the freedom to adapt and optimize your data strategy as the market evolves.",{"title":8,"searchDepth":193,"depth":193,"links":3261},[],"content:blog:be-ready-for-anything-with-ever-changing-walled-gardens.md","blog/be-ready-for-anything-with-ever-changing-walled-gardens.md","blog/be-ready-for-anything-with-ever-changing-walled-gardens",{"loc":3090},{"_path":3267,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":3268,"description":3269,"publishDate":3270,"author":3094,"ogImage":3271,"image":3271,"tags":3272,"authorSlug":3099,"body":3273,"_type":195,"_id":3417,"_source":197,"_file":3418,"_stem":3419,"_extension":200,"sitemap":3420},"/blog/before-your-data-collaborates-can-it-communicate","Before Your Data Collaborates - Can it Communicate?","The quality and consistency of data can significantly influence outcomes. However, as companies rely increasingly on diverse data sources, the challenge of data normalization has become more pressing than ever.","2024-08-22 10:40:00","/img/blog/2024/08/data-communication.png",[1262,1263,1264],{"type":17,"children":3274,"toc":3408},[3275,3281,3286,3292,3297,3303,3308,3313,3319,3324,3367,3373,3378,3383,3389,3394,3399,3403],{"type":20,"tag":223,"props":3276,"children":3278},{"id":3277},"the-importance-of-data-normalization-in-media-advertising",[3279],{"type":25,"value":3280},"The Importance of Data Normalization in Media & Advertising",{"type":20,"tag":21,"props":3282,"children":3283},{},[3284],{"type":25,"value":3285},"From targeting audiences to measuring campaign performance, the quality and consistency of data can significantly influence outcomes. However, as companies rely increasingly on diverse data sources, the challenge of data normalization has become more pressing than ever.",{"type":20,"tag":223,"props":3287,"children":3289},{"id":3288},"what-is-data-normalization",[3290],{"type":25,"value":3291},"What is Data Normalization?",{"type":20,"tag":21,"props":3293,"children":3294},{},[3295],{"type":25,"value":3296},"Data normalization refers to the process of standardizing data from disparate sources into a uniform format. This ensures that different datasets can be accurately compared, analyzed, and used in concert. For example, when merging customer data from various platforms, normalization might involve standardizing fields such as names, addresses, or product categories so that they match across all datasets.",{"type":20,"tag":223,"props":3298,"children":3300},{"id":3299},"the-manual-process-and-its-pitfalls",[3301],{"type":25,"value":3302},"The Manual Process and Its Pitfalls",{"type":20,"tag":21,"props":3304,"children":3305},{},[3306],{"type":25,"value":3307},"Traditionally, data normalization has been a manual, labor-intensive process. Data analysts often spend hours, if not days, cleaning and reformatting datasets to ensure consistency. This manual approach is not only time-consuming but also highly prone to errors. These errors can manifest as mismatches, duplicates, or incorrectly formatted data, which can severely impact the reliability of the insights derived from the data.",{"type":20,"tag":21,"props":3309,"children":3310},{},[3311],{"type":25,"value":3312},"In the context of media advertising, these errors can lead to significant inefficiencies. For instance, inaccurate match rates—where customer profiles are incorrectly linked across datasets—can result in poor targeting and wasted ad spend. Moreover, the performance of advertising campaigns can be misjudged if the underlying data is flawed, leading to misguided strategic decisions.",{"type":20,"tag":223,"props":3314,"children":3316},{"id":3315},"impact-on-media-advertising",[3317],{"type":25,"value":3318},"Impact on Media Advertising",{"type":20,"tag":21,"props":3320,"children":3321},{},[3322],{"type":25,"value":3323},"The implications of poor data normalization in media advertising are far-reaching:",{"type":20,"tag":2051,"props":3325,"children":3326},{},[3327,3337,3347,3357],{"type":20,"tag":907,"props":3328,"children":3329},{},[3330,3335],{"type":20,"tag":33,"props":3331,"children":3332},{},[3333],{"type":25,"value":3334},"Match Rates",{"type":25,"value":3336},": When data from different sources doesn't align correctly, match rates suffer. This can lead to the wrong audiences being targeted, reducing the effectiveness of campaigns and wasting valuable advertising dollars.",{"type":20,"tag":907,"props":3338,"children":3339},{},[3340,3345],{"type":20,"tag":33,"props":3341,"children":3342},{},[3343],{"type":25,"value":3344},"Campaign Performance",{"type":25,"value":3346},": Inaccurate data leads to incorrect performance metrics. For example, if conversions are not tracked correctly due to data inconsistencies, advertisers may overestimate the success of a campaign, leading to misallocation of future budgets.",{"type":20,"tag":907,"props":3348,"children":3349},{},[3350,3355],{"type":20,"tag":33,"props":3351,"children":3352},{},[3353],{"type":25,"value":3354},"Audience Segmentation",{"type":25,"value":3356},": Effective audience segmentation relies on accurate data. Without proper normalization, segments may be incorrectly defined, leading to ineffective targeting and lower return on investment (ROI).",{"type":20,"tag":907,"props":3358,"children":3359},{},[3360,3365],{"type":20,"tag":33,"props":3361,"children":3362},{},[3363],{"type":25,"value":3364},"Identity Graph Accuracy",{"type":25,"value":3366},": Data normalization plays a crucial role in the accuracy of identity graphs. Identity graphs, which aggregate various identifiers into a single user profile, are essential for personalized advertising. Poorly normalized data can lead to fragmented or incorrect identity profiles, reducing the effectiveness of personalized marketing efforts.",{"type":20,"tag":223,"props":3368,"children":3370},{"id":3369},"the-necessity-of-clean-standardized-1st-party-data",[3371],{"type":25,"value":3372},"The Necessity of Clean, Standardized 1st Party Data",{"type":20,"tag":21,"props":3374,"children":3375},{},[3376],{"type":25,"value":3377},"Before any other data can be effectively used, it's crucial that your 1st party data is clean and standardized. This foundational step ensures that your data can be seamlessly integrated with third-party datasets, facilitating accurate insights and more effective advertising strategies.",{"type":20,"tag":21,"props":3379,"children":3380},{},[3381],{"type":25,"value":3382},"When your 1st party data is well-maintained, it serves as a reliable anchor for integrating and comparing with external data. This is especially important in a world where companies increasingly depend on complex data collaborations. Without clean, standardized 1st party data, any effort to combine it with third-party data is likely to compound errors and reduce the overall effectiveness of your advertising efforts.",{"type":20,"tag":223,"props":3384,"children":3386},{"id":3385},"automating-data-normalization-with-ai",[3387],{"type":25,"value":3388},"Automating Data Normalization with AI",{"type":20,"tag":21,"props":3390,"children":3391},{},[3392],{"type":25,"value":3393},"To overcome the challenges of manual data normalization, many companies are turning to AI-powered solutions. Narrative, for instance, offers a robust platform that automates the normalization process through its Rosetta Stone technology. This AI-enabled system seamlessly transforms disparate datasets into a standardized Universal Data Model, ensuring that all data is ready for immediate use without the need for extensive preprocessing.",{"type":20,"tag":21,"props":3395,"children":3396},{},[3397],{"type":25,"value":3398},"By automating data normalization, Narrative not only reduces the risk of human error but also accelerates the entire process, enabling companies to act on their data more quickly and with greater confidence. This approach is particularly beneficial in media advertising, where speed and accuracy can directly impact campaign success and ROI.",{"type":20,"tag":223,"props":3400,"children":3401},{"id":1400},[3402],{"type":25,"value":1403},{"type":20,"tag":21,"props":3404,"children":3405},{},[3406],{"type":25,"value":3407},"In the competitive world of media advertising, the quality of your data is paramount. Data normalization is no longer a luxury but a necessity to ensure accurate targeting, reliable performance metrics, and effective audience segmentation. As identity graphs become more integral to personalized marketing strategies, the importance of normalization continues to grow. Embracing automated solutions like Narrative’s Rosetta Stone can provide the scalability, accuracy, and speed needed to stay ahead. Clean, standardized 1st party data is the cornerstone of any successful data strategy, enabling seamless integration with third-party data and driving better outcomes for your campaigns.",{"title":8,"searchDepth":193,"depth":193,"links":3409},[3410,3411,3412,3413,3414,3415,3416],{"id":3277,"depth":380,"text":3280},{"id":3288,"depth":380,"text":3291},{"id":3299,"depth":380,"text":3302},{"id":3315,"depth":380,"text":3318},{"id":3369,"depth":380,"text":3372},{"id":3385,"depth":380,"text":3388},{"id":1400,"depth":380,"text":1403},"content:blog:before-your-data-collaborates-can-it-communicate.md","blog/before-your-data-collaborates-can-it-communicate.md","blog/before-your-data-collaborates-can-it-communicate",{"loc":3267},{"_path":3422,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":3423,"description":3424,"publishDate":3425,"author":1927,"ogImage":3426,"image":3426,"tags":3427,"authorSlug":1932,"body":3430,"_type":195,"_id":3680,"_source":197,"_file":3681,"_stem":3682,"_extension":200,"sitemap":3683},"/blog/being-a-good-data-supplier","Being a Good Data Supplier: How to Meet the Demands of Data Acquirers","How data suppliers can leverage data collaboration platforms to maximize the value of their data and meet the demands of data buyers.","2023-04-25 14:05:00","/img/blog/2023/04/good-data-supplier.png",[1262,3428,15,3429],"data quality","data supplier",{"type":17,"children":3431,"toc":3677},[3432,3437,3443,3448,3501,3511,3516,3559,3568,3573,3626,3631,3636,3667,3672],{"type":20,"tag":21,"props":3433,"children":3434},{},[3435],{"type":25,"value":3436},"In today's fast-paced business landscape, the demand for data is higher than ever. The rise of machine learning and AI has only intensified this hunger. However, data acquirers and suppliers often have different priorities and face distinct challenges on their path to success. In this blog post, we'll explore the preferences of data acquirers, the challenges faced by data suppliers, and how data collaboration platforms can facilitate wins on both sides.",{"type":20,"tag":1495,"props":3438,"children":3440},{"id":3439},"what-data-acquirers-want",[3441],{"type":25,"value":3442},"What data acquirers want",{"type":20,"tag":21,"props":3444,"children":3445},{},[3446],{"type":25,"value":3447},"When obtaining data, an extensive list of considerations influences the data collected for specific use cases. However, beyond overarching decisions and industry-specific variables, data procurers consistently prioritize the following factors during the data-sourcing process:",{"type":20,"tag":903,"props":3449,"children":3450},{},[3451,3461,3471,3481,3491],{"type":20,"tag":907,"props":3452,"children":3453},{},[3454,3459],{"type":20,"tag":33,"props":3455,"children":3456},{},[3457],{"type":25,"value":3458},"Optionality:",{"type":25,"value":3460}," Acquirers seek diverse data types and sources to address their varying needs and changing strategies.",{"type":20,"tag":907,"props":3462,"children":3463},{},[3464,3469],{"type":20,"tag":33,"props":3465,"children":3466},{},[3467],{"type":25,"value":3468},"Scale:",{"type":25,"value":3470}," Acquirers require large volumes of data to derive meaningful insights and drive decision-making.",{"type":20,"tag":907,"props":3472,"children":3473},{},[3474,3479],{"type":20,"tag":33,"props":3475,"children":3476},{},[3477],{"type":25,"value":3478},"Data Interoperability:",{"type":25,"value":3480}," Compatibility with various systems and applications is crucial for seamless integration and analysis.",{"type":20,"tag":907,"props":3482,"children":3483},{},[3484,3489],{"type":20,"tag":33,"props":3485,"children":3486},{},[3487],{"type":25,"value":3488},"Speed:",{"type":25,"value":3490}," There is no time for manual processes. A streamlined workflow from discovery to acquisition has to take minutes, not weeks or months.",{"type":20,"tag":907,"props":3492,"children":3493},{},[3494,3499],{"type":20,"tag":33,"props":3495,"children":3496},{},[3497],{"type":25,"value":3498},"Security:",{"type":25,"value":3500}," Sensitive information needs to be protected in order to maintain trust with stakeholders and ensure compliance with relevant regulations.",{"type":20,"tag":21,"props":3502,"children":3503},{},[3504,3506,3509],{"type":25,"value":3505},"**The challenges of being a data supplier",{"type":20,"tag":2006,"props":3507,"children":3508},{},[],{"type":25,"value":3510},"\n**",{"type":20,"tag":21,"props":3512,"children":3513},{},[3514],{"type":25,"value":3515},"Data suppliers must navigate a gauntlet of hurdles to effectively meet data acquirers' demands, often putting a massive strain on internal resources and slowing down time to market. A few of those hurdles include:",{"type":20,"tag":903,"props":3517,"children":3518},{},[3519,3529,3539,3549],{"type":20,"tag":907,"props":3520,"children":3521},{},[3522,3527],{"type":20,"tag":33,"props":3523,"children":3524},{},[3525],{"type":25,"value":3526},"Data Preparation:",{"type":25,"value":3528}," Curating, cleaning, and standardizing data for potential buyers is time-consuming and resource-intensive.",{"type":20,"tag":907,"props":3530,"children":3531},{},[3532,3537],{"type":20,"tag":33,"props":3533,"children":3534},{},[3535],{"type":25,"value":3536},"Security and Compliance:",{"type":25,"value":3538}," Ensuring data security and compliance with data protection regulations requires significant investment in infrastructure and expertise.",{"type":20,"tag":907,"props":3540,"children":3541},{},[3542,3547],{"type":20,"tag":33,"props":3543,"children":3544},{},[3545],{"type":25,"value":3546},"Pricing:",{"type":25,"value":3548}," Determining the right price for their data and finding the appropriate monetization model can be complex and challenging.",{"type":20,"tag":907,"props":3550,"children":3551},{},[3552,3557],{"type":20,"tag":33,"props":3553,"children":3554},{},[3555],{"type":25,"value":3556},"Market Reach & Visibility:",{"type":25,"value":3558}," Gaining exposure and connecting with potential buyers in a competitive data market is difficult without the right platform or network.",{"type":20,"tag":21,"props":3560,"children":3561},{},[3562,3564,3567],{"type":25,"value":3563},"**How data collaboration platforms help suppliers efficiently meet demand",{"type":20,"tag":2006,"props":3565,"children":3566},{},[],{"type":25,"value":3510},{"type":20,"tag":21,"props":3569,"children":3570},{},[3571],{"type":25,"value":3572},"Data collaboration platforms serve as a one-stop-shop, streamlining multiple tools and services into one centralized location, which empowers suppliers to overcome obstacles and better fulfill the demands of data acquirers.",{"type":20,"tag":903,"props":3574,"children":3575},{},[3576,3586,3596,3606,3616],{"type":20,"tag":907,"props":3577,"children":3578},{},[3579,3584],{"type":20,"tag":33,"props":3580,"children":3581},{},[3582],{"type":25,"value":3583},"Data Aggregation & Scale:",{"type":25,"value":3585}," Collaboration platforms facilitate data aggregation, allowing suppliers to pool resources and offer diverse data types and sources while providing acquirers with the required scale.",{"type":20,"tag":907,"props":3587,"children":3588},{},[3589,3594],{"type":20,"tag":33,"props":3590,"children":3591},{},[3592],{"type":25,"value":3593},"Customizable Data Products:",{"type":25,"value":3595}," DCP’s enable suppliers and buyers to create tailored data products for specific industries or use cases, meeting the optionality needs of acquirers.",{"type":20,"tag":907,"props":3597,"children":3598},{},[3599,3604],{"type":20,"tag":33,"props":3600,"children":3601},{},[3602],{"type":25,"value":3603},"Enhanced Market Reach:",{"type":25,"value":3605}," Data collaboration platforms often feature marketplaces that showcase and promote suppliers' offerings, making it easier for acquirers to discover and access their data sets.",{"type":20,"tag":907,"props":3607,"children":3608},{},[3609,3614],{"type":20,"tag":33,"props":3610,"children":3611},{},[3612],{"type":25,"value":3613},"Data Standardization:",{"type":25,"value":3615}," DCP’s provide data standardization tools, ensuring data sets are readily usable and compatible with various systems and applications, addressing interoperability needs.",{"type":20,"tag":907,"props":3617,"children":3618},{},[3619,3624],{"type":20,"tag":33,"props":3620,"children":3621},{},[3622],{"type":25,"value":3623},"Pricing Insights and Benchmarking:",{"type":25,"value":3625}," Platforms offer analytics tools, market insights, and benchmarking data to help suppliers make informed pricing decisions, allowing them to optimize monetization efforts.",{"type":20,"tag":21,"props":3627,"children":3628},{},[3629],{"type":25,"value":3630},"Being a good data supplier is essential in today's data-driven world. By leveraging data collaboration platforms, suppliers can effectively address the challenges they face while better catering to the needs of data acquirers. Embracing data collaboration platforms can enable suppliers to optimize their offerings and build strong partnerships with data acquirers, ensuring mutual success in the competitive data market.",{"type":20,"tag":21,"props":3632,"children":3633},{},[3634],{"type":25,"value":3635},"At Narrative, we understand the importance of quickly navigating the complexities of the data landscape to meet the growing demands of clients and set your business apart from competitors. With Narrative, you can:",{"type":20,"tag":903,"props":3637,"children":3638},{},[3639,3652,3657,3662],{"type":20,"tag":907,"props":3640,"children":3641},{},[3642,3644,3650],{"type":25,"value":3643},"Leverage our innovative ",{"type":20,"tag":44,"props":3645,"children":3647},{"href":3646},"/blog/seamlessly-acquire-data-with-rosetta-stone",[3648],{"type":25,"value":3649},"Rosetta Stone technology",{"type":25,"value":3651}," automating data standardization for everyone ensuring data interoperability and easy collaboration.",{"type":20,"tag":907,"props":3653,"children":3654},{},[3655],{"type":25,"value":3656},"Use our no-code UI, where users of all technical and industry backgrounds can easily participate in data collaboration.",{"type":20,"tag":907,"props":3658,"children":3659},{},[3660],{"type":25,"value":3661},"Be confident that all data is secure by indicating sensitive fields so that PII is protected on a column-by-column basis.",{"type":20,"tag":907,"props":3663,"children":3664},{},[3665],{"type":25,"value":3666},"Sell or share data publicly, privately, in a branded storefront, our marketplace, or other popular data marketplaces and reach a large variety of new customers.",{"type":20,"tag":21,"props":3668,"children":3669},{},[3670],{"type":25,"value":3671},"By prioritizing speed and ease of use in data collaboration, data sellers and suppliers can unlock the full potential of their data and extract maximum value from it.",{"type":20,"tag":21,"props":3673,"children":3674},{},[3675],{"type":25,"value":3676},"Choose Narrative's fast and easy data collaboration platform to enhance your data's value and drive your business toward success.",{"title":8,"searchDepth":193,"depth":193,"links":3678},[3679],{"id":3439,"depth":193,"text":3442},"content:blog:being-a-good-data-supplier.md","blog/being-a-good-data-supplier.md","blog/being-a-good-data-supplier",{"loc":3422},{"_path":3685,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":3686,"description":3687,"publishDate":3688,"author":12,"ogImage":3689,"image":3689,"tags":3690,"body":3692,"_type":195,"_id":3838,"_source":197,"_file":3839,"_stem":3840,"_extension":200,"sitemap":3841},"/blog/boosting-audience-addressability-in-a-cookieless-world","Boosting Audience Addressability in a Cookieless World","Improving audience addressability without third-party cookies can be challenging. Using universal IDs to reach and engage new customers is the future-proof solution.","2022-02-23 16:44:00","/img/blog/2022/02/audience-addressability.png",[3691],"audience addressability",{"type":17,"children":3693,"toc":3831},[3694,3699,3705,3710,3715,3720,3726,3731,3736,3742,3747,3752,3757,3763,3768,3781,3787,3799,3810],{"type":20,"tag":21,"props":3695,"children":3696},{},[3697],{"type":25,"value":3698},"In order for a brand to reach relevant and receptive audiences at scale, audience addressability should be a main focus. It is one of the basic building blocks to growing a customer base. But as the online world evolves to meet stricter privacy standards and track data in new ways, organizations must adapt their strategies to find and impress the right buyers.",{"type":20,"tag":1495,"props":3700,"children":3702},{"id":3701},"what-is-audience-addressability-and-why-is-it-so-important",[3703],{"type":25,"value":3704},"What is audience addressability and why is it so important?",{"type":20,"tag":21,"props":3706,"children":3707},{},[3708],{"type":25,"value":3709},"Audience addressability refers to the ability to identify and target customers as individuals and segments and understand how they engage across different devices and domains. It’s being able to tie data points to individual identifiers in order to create a well-rounded view of who your audience is and how they can be reached.  ",{"type":20,"tag":21,"props":3711,"children":3712},{},[3713],{"type":25,"value":3714},"Creating “recognizable” audiences through audience addressability gives your brand a blueprint of how to reach and engage your customers. You can track an anonymous group of individuals’ activity, interests, and preferences across devices and channels, which naturally illuminates opportunities for you to grab their attention and funnel them through the buyer journey.",{"type":20,"tag":21,"props":3716,"children":3717},{},[3718],{"type":25,"value":3719},"Mastering audience addressability is beneficial for both consumers and marketers. When you can identify and reach your audience, you can make sure that your targeted and relevant messages will reach them, add value to their lives, and drive interest in your brand.",{"type":20,"tag":1495,"props":3721,"children":3723},{"id":3722},"the-disappearance-of-third-party-cookies-poses-a-challenge",[3724],{"type":25,"value":3725},"The disappearance of third-party cookies poses a challenge",{"type":20,"tag":21,"props":3727,"children":3728},{},[3729],{"type":25,"value":3730},"Addressable audiences have historically been powered by third-party cookies, which track users’ online interactions. But third-party cookies are taking a bow and leaving the stage, which is changing the way marketers can connect with and grow large addressable audiences.",{"type":20,"tag":21,"props":3732,"children":3733},{},[3734],{"type":25,"value":3735},"Apple’s Safari and Mozilla’s Firefox browsers have already completely blocked cookies and Google’s Chrome is planning on phasing them out by the end of 2023. It’s more important than ever for brands to explore new, privacy-compliant alternatives to target and expand their audiences. In order to continue building addressable audiences, brands must find a way to track diverse groups of IDs across devices in a centralized way. That’s where universal identifiers come into play.",{"type":20,"tag":1495,"props":3737,"children":3739},{"id":3738},"universal-identifiers-are-the-solution",[3740],{"type":25,"value":3741},"Universal identifiers are the solution",{"type":20,"tag":21,"props":3743,"children":3744},{},[3745],{"type":25,"value":3746},"Universal IDs, IDs that are consistent and trackable across all domains and apps, have been championed as the answer to tracking and reaching customers after cookies are gone for good. They are the most future-proof solution because they function very similarly to third-party cookies, are owned by publishers, and provide maximal privacy protection and compliance. There are two types of universal IDs that marketers can use to improve audience addressability.",{"type":20,"tag":21,"props":3748,"children":3749},{},[3750],{"type":25,"value":3751},"The first type is deterministic, or de-anonymised IDs. These are similar to third-party cookies in that they track on-site user behavior, but the type of cookie used is first-party owned (meaning the ID is tied to the domain of the website owner). Since data generated by deterministic IDs is limited to the website domain, it’s not possible to track cross-site or cross-channel insights.",{"type":20,"tag":21,"props":3753,"children":3754},{},[3755],{"type":25,"value":3756},"The second type of Universal IDs are probabilistic IDs. These mesh first-party cookies such as email and login IDs with additional anonymized online user behavior and attributes. This helps to create user profiles that can be matched with other non-logged-in user profiles, making it possible to track users across different devices and browsers. A combination of both of these Universal ID types is the best-case solution to exceptional audience addressability in the present and future.",{"type":20,"tag":1495,"props":3758,"children":3760},{"id":3759},"improve-audience-addressability-with-universal-ids",[3761],{"type":25,"value":3762},"Improve audience addressability with universal IDs",{"type":20,"tag":21,"props":3764,"children":3765},{},[3766],{"type":25,"value":3767},"Brands have lists of customer names, emails, and phone numbers that can be uploaded directly to advertising platforms and matched to users within that platform to create targeted and relevant ads. This is effective, but limiting. Marketers want to target the same audiences across platforms and devices. That’s where the probabilistic universal IDs come into play.",{"type":20,"tag":21,"props":3769,"children":3770},{},[3771,3773,3779],{"type":25,"value":3772},"An onboarding service such as ",{"type":20,"tag":44,"props":3774,"children":3776},{"href":3775},"/",[3777],{"type":25,"value":3778},"Narrative",{"type":25,"value":3780}," takes that same list of customer data, anonymizes it to protect identity, and matches it to multiple online platforms. Using an onboarding service is a popular strategy used by enterprise marketing departments because it allows organizations to augment their first-party PII with valuable insights without sacrificing privacy. By acquiring new matches and valuable user data, marketers are able to access their audience more easily and effectively.",{"type":20,"tag":1495,"props":3782,"children":3784},{"id":3783},"narrative-helps-you-match-your-digital-identifiers-with-universal-onboarding",[3785],{"type":25,"value":3786},"Narrative helps you match your digital identifiers with Universal Onboarding",{"type":20,"tag":21,"props":3788,"children":3789},{},[3790,3792,3797],{"type":25,"value":3791},"Build an omnichannel view of your customers with help from ",{"type":20,"tag":44,"props":3793,"children":3794},{"href":115},[3795],{"type":25,"value":3796},"Narrative’s transparent, self-service, and fast onboarding",{"type":25,"value":3798},". Narrative matches digital identifiers from a pool of  billions of IDs in a matter of minutes. You’ll be able to link disparate identifiers to create consistent personalized experiences across channels and devices.",{"type":20,"tag":21,"props":3800,"children":3801},{},[3802,3804,3808],{"type":25,"value":3803},"Just upload your customer records into ",{"type":20,"tag":44,"props":3805,"children":3806},{"href":324},[3807],{"type":25,"value":561},{"type":25,"value":3809}," and you’ll be able to match them against hundreds of providers in real time. Our built-in PII hasher will securely encrypt your private customer data before you upload to ensure privacy compliance. Then, after matching your information to relevant information across channels, your newly enriched customer profiles will be delivered securely to you. Choose where your matched results are sent to, and only pay for the IDs that match. You’ll also be able to set your preferred spend with custom budget controls.",{"type":20,"tag":21,"props":3811,"children":3812},{},[3813,3818,3819,3827],{"type":20,"tag":33,"props":3814,"children":3815},{},[3816],{"type":25,"value":3817},"Boost your audience addressability in just a few clicks.",{"type":25,"value":177},{"type":20,"tag":44,"props":3820,"children":3821},{"href":180},[3822],{"type":20,"tag":33,"props":3823,"children":3824},{},[3825],{"type":25,"value":3826},"Our experts would love to help",{"type":20,"tag":33,"props":3828,"children":3829},{},[3830],{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":3832},[3833,3834,3835,3836,3837],{"id":3701,"depth":193,"text":3704},{"id":3722,"depth":193,"text":3725},{"id":3738,"depth":193,"text":3741},{"id":3759,"depth":193,"text":3762},{"id":3783,"depth":193,"text":3786},"content:blog:boosting-audience-addressability-in-a-cookieless-world.md","blog/boosting-audience-addressability-in-a-cookieless-world.md","blog/boosting-audience-addressability-in-a-cookieless-world",{"loc":3685},{"_path":3843,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":3844,"description":3845,"publishDate":3846,"author":1259,"ogImage":3847,"image":3847,"tags":3848,"body":3849,"_type":195,"_id":4171,"_source":197,"_file":4172,"_stem":4173,"_extension":200,"sitemap":4174},"/blog/breaking-free-from-black-box-identity","Breaking Free From Black-Box Identity - What Changes When You Own the Graph","The next phase of identity isn’t about improving single-vendor systems. It’s about owning the graph, composing it from multiple sources, and keeping control inside your data environment.","2026-01-29 00:00:00","/img/blog/2026/01/advertisingWeek2025.png",[],{"type":17,"children":3850,"toc":4162},[3851,3863,3877,3882,3890,3896,3908,3913,3918,3946,3951,3957,3971,3976,3981,3986,3992,4006,4011,4016,4021,4026,4032,4037,4042,4047,4053,4067,4072,4077,4082,4087,4093,4098,4103,4108,4113,4118,4123,4128,4134,4139,4157],{"type":20,"tag":3852,"props":3853,"children":3862},"iframe",{"width":3854,"height":3855,"src":3856,"title":3857,"frameBorder":3858,"allow":3859,"allowFullScreen":3860,"style":3861},"100%",400,"https://www.youtube.com/embed/94CCUWIgLJM","Breaking Free From Black-Box Identity","0","accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",true,"aspect-ratio: 16/9; max-width: 100%;",[],{"type":20,"tag":21,"props":3864,"children":3865},{},[3866,3868,3875],{"type":25,"value":3867},"At Advertising Week, a panel moderated by David Wells, Industry Principal, AdTech & Martech at ",{"type":20,"tag":44,"props":3869,"children":3872},{"href":3870,"rel":3871},"https://www.snowflake.com/",[538],[3873],{"type":25,"value":3874},"Snowflake",{"type":25,"value":3876}," put a long-simmering industry tension front and center: identity is still core to powering activation and measurement — but the black-box model is holding teams back.",{"type":20,"tag":21,"props":3878,"children":3879},{},[3880],{"type":25,"value":3881},"Across brands, publishers, agencies, and platforms, the message was consistent. The next phase of identity isn’t about improving single-vendor systems. It’s about owning the graph, composing it from multiple sources, and keeping control inside your data environment.",{"type":20,"tag":21,"props":3883,"children":3884},{},[3885],{"type":20,"tag":2347,"props":3886,"children":3887},{},[3888],{"type":25,"value":3889},"If you don’t have time to watch the full 30 minutes, here are a few highlights:",{"type":20,"tag":1495,"props":3891,"children":3893},{"id":3892},"composable-identity-optionality-not-abstraction",[3894],{"type":25,"value":3895},"Composable identity = optionality, not abstraction",{"type":20,"tag":21,"props":3897,"children":3898},{},[3899,3901,3906],{"type":25,"value":3900},"Uri Bushey, Head of Product at ",{"type":20,"tag":44,"props":3902,"children":3904},{"href":772,"rel":3903},[538],[3905],{"type":25,"value":3778},{"type":25,"value":3907}," cut through the buzzwords by grounding composability in something buyers actually feel: optionality.",{"type":20,"tag":21,"props":3909,"children":3910},{},[3911],{"type":25,"value":3912},"“For us, composability is optionality — on multiple vectors.”",{"type":20,"tag":21,"props":3914,"children":3915},{},[3916],{"type":25,"value":3917},"That shows up in very practical decisions:",{"type":20,"tag":903,"props":3919,"children":3920},{},[3921,3926,3931,3936,3941],{"type":20,"tag":907,"props":3922,"children":3923},{},[3924],{"type":25,"value":3925},"Where identity data lives",{"type":20,"tag":907,"props":3927,"children":3928},{},[3929],{"type":25,"value":3930},"Whether identity is built from first-party, third-party, or both",{"type":20,"tag":907,"props":3932,"children":3933},{},[3934],{"type":25,"value":3935},"Which algorithms define “identity”",{"type":20,"tag":907,"props":3937,"children":3938},{},[3939],{"type":25,"value":3940},"How many providers you work with and when you switch",{"type":20,"tag":907,"props":3942,"children":3943},{},[3944],{"type":25,"value":3945},"Whether you want off-the-shelf algorithms, or you have a data science team with their own definition of identity",{"type":20,"tag":21,"props":3947,"children":3948},{},[3949],{"type":25,"value":3950},"The takeaway: composable identity isn’t about flexibility for its own sake. It’s about adapting identity to the use case in front of you without rebuilding your stack each time.",{"type":20,"tag":1495,"props":3952,"children":3954},{"id":3953},"identity-only-works-if-you-actually-own-it",[3955],{"type":25,"value":3956},"Identity only works if you actually own it",{"type":20,"tag":21,"props":3958,"children":3959},{},[3960,3962,3969],{"type":25,"value":3961},"Ian Maier, AdTech Lead at ",{"type":20,"tag":44,"props":3963,"children":3966},{"href":3964,"rel":3965},"https://hightouch.com/",[538],[3967],{"type":25,"value":3968},"Hightouch",{"type":25,"value":3970}," emphasized a principle that’s becoming non-negotiable for sophisticated buyers: identity belongs with the data owner.",{"type":20,"tag":21,"props":3972,"children":3973},{},[3974],{"type":25,"value":3975},"“Your data should be owned by you, your identity should be owned by you, in the place where it already exists—in your data warehouse.”",{"type":20,"tag":21,"props":3977,"children":3978},{},[3979],{"type":25,"value":3980},"The problem with black-box identity isn’t just opacity. It’s also dependency. If you don’t build your own graph, it’s easy to get locked into a single provider. Or, if you push it into another platform, and now they kind of own your identity.",{"type":20,"tag":21,"props":3982,"children":3983},{},[3984],{"type":25,"value":3985},"This framing shifts the role of third-party partners entirely. Providers become inputs, not gatekeepers — something you add, test, swap, or remove as needed, while the graph remains yours.",{"type":20,"tag":1495,"props":3987,"children":3989},{"id":3988},"publishers-need-interoperability-that-respects-consent-not-a-universal-id",[3990],{"type":25,"value":3991},"Publishers need interoperability that respects consent — not a “universal ID”",{"type":20,"tag":21,"props":3993,"children":3994},{},[3995,3997,4004],{"type":25,"value":3996},"From the publisher side, Jenny Yurko, VP Data Product Strategy at ",{"type":20,"tag":44,"props":3998,"children":4001},{"href":3999,"rel":4000},"https://www.wbd.com/",[538],[4002],{"type":25,"value":4003},"Warner Bros. Discovery",{"type":25,"value":4005}," highlighted a reality often glossed over: identity fragmentation is structural, not accidental.",{"type":20,"tag":21,"props":4007,"children":4008},{},[4009],{"type":25,"value":4010},"“Consumers go to different platforms in different ways, and different types of consents are applied. From an identity perspective that makes things difficult because combining those datasets is a difficult task. There’s not the same identity that comes from each platform.”",{"type":20,"tag":21,"props":4012,"children":4013},{},[4014],{"type":25,"value":4015},"So, for publishers, composable identity isn’t about chasing a single ID standard. 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With composable infrastructure:",{"type":20,"tag":21,"props":4038,"children":4039},{},[4040],{"type":25,"value":4041},"“Instead of having to spend a year building one connection, I can have 100 connections right away. 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They’re about closing coverage gaps without surrendering control.",{"type":20,"tag":1495,"props":4088,"children":4090},{"id":4089},"ai-needs-normalization-not-just-more-data",[4091],{"type":25,"value":4092},"AI needs normalization, not just more data",{"type":20,"tag":21,"props":4094,"children":4095},{},[4096],{"type":25,"value":4097},"The panel closed on a forward-looking point that’s at the top of everyone’s minds. 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You need to be able to take that data and turn it into something that the LLM is not only going to be able to query with SQL, but also understand the meaning behind consistently.",{"type":20,"tag":21,"props":4114,"children":4115},{},[4116],{"type":25,"value":4117},"Jeremy added the buyer-facing requirement: transparency.",{"type":20,"tag":21,"props":4119,"children":4120},{},[4121],{"type":25,"value":4122},"“We try to bring transparency — the breadcrumbs — into each step of that process.”",{"type":20,"tag":21,"props":4124,"children":4125},{},[4126],{"type":25,"value":4127},"AI-driven activation only works if users can see what data was used, how audiences were built, and why decisions were made.",{"type":20,"tag":1495,"props":4129,"children":4131},{"id":4130},"what-you-should-take-from-this-panel",[4132],{"type":25,"value":4133},"What you should take from this panel",{"type":20,"tag":21,"props":4135,"children":4136},{},[4137],{"type":25,"value":4138},"If you’re evaluating identity today:",{"type":20,"tag":903,"props":4140,"children":4141},{},[4142,4147,4152],{"type":20,"tag":907,"props":4143,"children":4144},{},[4145],{"type":25,"value":4146},"Brands should demand ownership of the graph, with third-party identity as modular inputs — not permanent dependencies.",{"type":20,"tag":907,"props":4148,"children":4149},{},[4150],{"type":25,"value":4151},"Publishers and retail media networks need consent-aware interoperability that scales to advertiser demands without bespoke builds.",{"type":20,"tag":907,"props":4153,"children":4154},{},[4155],{"type":25,"value":4156},"Ad and martech platforms win by delivering orchestration and usability on top of identity — not by owning it.",{"type":20,"tag":21,"props":4158,"children":4159},{},[4160],{"type":25,"value":4161},"Or, as the panel repeatedly reinforced: the future of identity isn’t a better black box. 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The more information that you collect and analyze about your business, industry, market, and customers, the better informed your decisions will be and the more accurate your predictions about the future will be.",{"type":20,"tag":21,"props":4374,"children":4375},{},[4376,4378,4383],{"type":25,"value":4377},"That’s why, as 2023 nears, more and more organizations are using high-quality external data to augment their existing data. Gaining insight from ",{"type":20,"tag":44,"props":4379,"children":4380},{"href":46},[4381],{"type":25,"value":4382},"second and third party data",{"type":25,"value":4384}," adds depth and detail to the information your organization already has. So where can you find high-quality external data? And how do you get that data into your own organization quickly and seamlessly? With the right data acquisition strategy for 2023, you could be feeding important new insights into your company through efficient and cost-effective avenues.",{"type":20,"tag":1495,"props":4386,"children":4388},{"id":4387},"what-is-data-acquisition-and-why-do-you-need-a-strategy",[4389],{"type":25,"value":4390},"What is data acquisition and why do you need a strategy?",{"type":20,"tag":21,"props":4392,"children":4393},{},[4394,4399],{"type":20,"tag":44,"props":4395,"children":4396},{"href":324},[4397],{"type":25,"value":4398},"Data acquisition",{"type":25,"value":4400}," is the process of discovering data outside of your organization and bringing that data into your organization. In order to glean the most valuable insights from the data you acquire, it’s important to think about what kind of data you need, where that data can be obtained from, and how this new data will intersect with your existing data in order to form a single vision of information. This requires smart planning so that you don’t waste valuable time and resources on data that your organization won’t be able to use.",{"type":20,"tag":1495,"props":4402,"children":4404},{"id":4403},"determine-what-problems-you-want-to-solve",[4405],{"type":25,"value":4406},"Determine what problems you want to solve",{"type":20,"tag":21,"props":4408,"children":4409},{},[4410],{"type":25,"value":4411},"The first step is to decide what problems you want to solve by obtaining new data. Are you seeking to:",{"type":20,"tag":2051,"props":4413,"children":4414},{},[4415,4420],{"type":20,"tag":907,"props":4416,"children":4417},{},[4418],{"type":25,"value":4419},"Answer a specific question that requires new, better, or complementary data to answer, or",{"type":20,"tag":907,"props":4421,"children":4422},{},[4423],{"type":25,"value":4424},"Optimize an existing solution",{"type":20,"tag":21,"props":4426,"children":4427},{},[4428],{"type":25,"value":4429},"If you are trying to answer a specific question with new insights, you are most likely searching for a large and diverse deposit of data that is related to a particular theme. For instance, if you want to know how a new product is going to fare in a market in 2023, you might be interested in market trend data, financial performance data, and social media data - and that data would just get you started. There are no bounds to the amount of data you could collect that might help you make predictions about your product. So many types of information from so many different types of resources could help you answer the question you are asking.",{"type":20,"tag":21,"props":4431,"children":4432},{},[4433],{"type":25,"value":4434},"If you are trying to optimize an existing system with new data, your focus would be a little more fine-tuned. You need to think more carefully about where the gaps in your knowledge are and what data could adequately fill in those gaps. You don’t want to waste resources on extra puzzle pieces, you just want the pieces that will complete the puzzle. Maybe you want to optimize the production of a certain food product in the winter. To do that, you might specifically need weather data or agricultural data from a certain area.",{"type":20,"tag":1495,"props":4436,"children":4438},{"id":4437},"determine-who-and-where-you-want-to-buy-data-from",[4439],{"type":25,"value":4440},"Determine who and where you want to buy data from",{"type":20,"tag":21,"props":4442,"children":4443},{},[4444],{"type":25,"value":4445},"Once you have figured out what kind of data you need, the next step is figuring out who has that data and how you can acquire it from them. Accessing the right data sources, trying to avoid purchasing data that isn’t useful, and integrating new external data neatly with your existing data can be complex and frustrating. That's why it’s vital to choose the best tools and platforms you’ll use for your data acquisition and factor that into your planning before 2023 begins. You have a few options in this step. You can:",{"type":20,"tag":1495,"props":4447,"children":4449},{"id":4448},"buy-directly-from-another-company",[4450],{"type":25,"value":4451},"Buy directly from another company",{"type":20,"tag":21,"props":4453,"children":4454},{},[4455],{"type":25,"value":4456},"By buying data directly from another company, your organization will acquire precise and trustworthy data, but will also sink a good amount of time and energy into a single purchase. This option is straightforward, private, and secure, but can be a time-consuming and labor-intensive endeavor that must be repeated each time you want to purchase data from a new company one-on-one.",{"type":20,"tag":1495,"props":4458,"children":4460},{"id":4459},"buy-from-a-data-broker",[4461],{"type":25,"value":4462},"Buy from a data broker",{"type":20,"tag":21,"props":4464,"children":4465},{},[4466],{"type":25,"value":4467},"Data brokers are organizations that collect data from multiple sources, provide some value-adding processing, and repackage a mash-up of usable data into summarized datasets. Going this route is an easy way to buy a bulk of data quickly and without too much hassle. However, it’s also more of a gamble. However, data brokers are notorious for providing low-quality data because they mix a large amount of data together from multiple sources as opposed to providing quality and transparent single-source data. With data brokers, you don’t know exactly what data you are getting or how the data was collected, so you can’t verify that you are receiving quality data. You also aren’t able to pick and choose which datasets you want; you have to purchase the data you are offered as is.",{"type":20,"tag":1495,"props":4469,"children":4471},{"id":4470},"buy-from-a-data-collaboration-platform",[4472],{"type":25,"value":4473},"Buy from a data collaboration platform",{"type":20,"tag":21,"props":4475,"children":4476},{},[4477,4479,4483],{"type":25,"value":4478},"A data collaboration platform is a marketplace that makes it faster and easier than ever to buy quality data assets without having to sacrifice too much time or resources. You’ll be able to access many different types of data from many different types of sources without having to forge contracts or undergo negotiations. ",{"type":20,"tag":44,"props":4480,"children":4481},{"href":324},[4482],{"type":25,"value":561},{"type":25,"value":4484}," provides trillions of available datasets from dozens of providers and gives you the tools you need in order to discover the exact data you want.",{"type":20,"tag":21,"props":4486,"children":4487},{},[4488,4490,4496],{"type":25,"value":4489},"The tools provided by a data collaboration platform help you automate data discovery, streamline cleaning and formatting tasks, and ensure that you’re paying only for the exact data points you need. For instance, ",{"type":20,"tag":44,"props":4491,"children":4493},{"href":4492},"/blog/buyer-studio",[4494],{"type":25,"value":4495},"Buyer Studio",{"type":25,"value":4497}," is the latest win for data acquisition technology. It is a self-service, no-code app that makes it easy to find and buy precise datasets by automating the most time- and labor-intensive aspects of buying data. Users of any skill level can use the app to find the precise data they need, place a custom order, and have their data delivered directly to the systems they want, all with just a few clicks.",{"type":20,"tag":1495,"props":4499,"children":4501},{"id":4500},"use-a-data-collaboration-platform-to-discover-and-purchase-the-exact-data-you-need",[4502],{"type":25,"value":4503},"Use a data collaboration platform to discover and purchase the exact data you need",{"type":20,"tag":21,"props":4505,"children":4506},{},[4507,4509,4513],{"type":25,"value":4508},"Now that you’ve decided what kind of data you need and how you are going to get it, you can use your data collaboration platform tools to purchase the exact data points you need. Whether you need a bulk of data of all types or just a very specific type of data, you can find and purchase your precise specifications using the ",{"type":20,"tag":44,"props":4510,"children":4511},{"href":572},[4512],{"type":25,"value":575},{"type":25,"value":191},{"type":20,"tag":21,"props":4515,"children":4516},{},[4517],{"type":25,"value":4518}," With access to trillions of data points from multiple data providers at once, you’ll be able to select the exact types of data that you’d like to acquire, including but not limited to geolocation, demographic, purchase, identity, and device data. You can use precision filtering options to include only the exact observations you need, opt into a deduplication feature to ensure you never pay for the same data point more than once, and set a custom budget that works for you.",{"type":20,"tag":21,"props":4520,"children":4521},{},[4522,4527,4528,4536],{"type":20,"tag":33,"props":4523,"children":4524},{},[4525],{"type":25,"value":4526},"Want to learn more?",{"type":25,"value":177},{"type":20,"tag":44,"props":4529,"children":4530},{"href":180},[4531],{"type":20,"tag":33,"props":4532,"children":4533},{},[4534],{"type":25,"value":4535},"Start building your best data acquisition strategy today with help from our experts",{"type":20,"tag":33,"props":4537,"children":4538},{},[4539],{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":4541},[4542,4543,4544,4545,4546,4547,4548],{"id":4387,"depth":193,"text":4390},{"id":4403,"depth":193,"text":4406},{"id":4437,"depth":193,"text":4440},{"id":4448,"depth":193,"text":4451},{"id":4459,"depth":193,"text":4462},{"id":4470,"depth":193,"text":4473},{"id":4500,"depth":193,"text":4503},"content:blog:building-a-data-acquisition-strategy-for-2023.md","blog/building-a-data-acquisition-strategy-for-2023.md","blog/building-a-data-acquisition-strategy-for-2023",{"loc":452},{"_path":4554,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":4555,"description":4556,"publishDate":4557,"author":1436,"ogImage":4558,"image":4558,"tags":4559,"authorSlug":1437,"body":4560,"_type":195,"_id":4886,"_source":197,"_file":4887,"_stem":4888,"_extension":200,"sitemap":4889},"/blog/building-a-data-catalog-with-standardized-data","Building a Data Catalog: Why Standardized Data is Key For Success","Data Catalogs: Unlock Superpowers For Your Entire Organization","2023-05-03 04:00:00","/img/blog/2023/05/building-a-data-catalog-sm.png",[1262,1054,2665,1263],{"type":17,"children":4561,"toc":4878},[4562,4567,4572,4578,4583,4589,4594,4599,4622,4628,4633,4643,4653,4663,4673,4683,4693,4703,4713,4719,4724,4757,4763,4768,4778,4788,4798,4808,4818,4823,4829,4857],{"type":20,"tag":21,"props":4563,"children":4564},{},[4565],{"type":25,"value":4566},"Despite data being essential for businesses and the glaring need for data collaboration and interoperability, many organizations still lack an accessible and easy-to-use data catalog. In addition, organizations that do have a data catalog aren’t supplying it with standardized data making it difficult to use effectively.",{"type":20,"tag":21,"props":4568,"children":4569},{},[4570],{"type":25,"value":4571},"In this article, we’ll define what a data catalog is, discuss its importance to an organization, illustrate the benefits of a standardized data catalog, and explore how data collaboration platforms can help organizations create a robust data catalog more efficiently than doing it in-house.",{"type":20,"tag":223,"props":4573,"children":4575},{"id":4574},"what-is-a-data-catalog",[4576],{"type":25,"value":4577},"What is a Data Catalog?",{"type":20,"tag":21,"props":4579,"children":4580},{},[4581],{"type":25,"value":4582},"A data catalog is an organized inventory of the data an organization collects, providing a comprehensive view of all available data assets. It serves as a centralized repository, storing metadata about each data asset, such as its source, format, and purpose. This enables employees to easily discover, understand, and access the data they need, ultimately facilitating better collaboration, more informed decision-making, and improved data quality across the organization. External data can also be integrated into the data catalog to enrich the organization's data assets and provide new insights.",{"type":20,"tag":223,"props":4584,"children":4586},{"id":4585},"data-catalogs-offer-big-benefits",[4587],{"type":25,"value":4588},"Data catalogs offer big benefits",{"type":20,"tag":21,"props":4590,"children":4591},{},[4592],{"type":25,"value":4593},"Data catalogs are vital for organizations as they facilitate data democratization, enhance collaboration, and streamline decision-making. By providing a unified view of an organization's data assets, data catalogs empower employees to make informed decisions and contribute to the organization's growth.",{"type":20,"tag":21,"props":4595,"children":4596},{},[4597],{"type":25,"value":4598},"A data catalog offers numerous advantages, including:",{"type":20,"tag":903,"props":4600,"children":4601},{},[4602,4607,4612,4617],{"type":20,"tag":907,"props":4603,"children":4604},{},[4605],{"type":25,"value":4606},"Facilitating data democratization by making data accessible to all employees",{"type":20,"tag":907,"props":4608,"children":4609},{},[4610],{"type":25,"value":4611},"Enhancing collaboration and efficiency through a unified view of an organization's data assets",{"type":20,"tag":907,"props":4613,"children":4614},{},[4615],{"type":25,"value":4616},"Improving data quality by maintaining consistent metadata",{"type":20,"tag":907,"props":4618,"children":4619},{},[4620],{"type":25,"value":4621},"Streamlining data sourcing and data discovery processes",{"type":20,"tag":223,"props":4623,"children":4625},{"id":4624},"standardized-data-catalogs-offer-bigger-benefits",[4626],{"type":25,"value":4627},"Standardized data catalogs offer bigger benefits",{"type":20,"tag":21,"props":4629,"children":4630},{},[4631],{"type":25,"value":4632},"Data collection, organization, and storage can vary greatly, even within one organization leading to inefficiencies. Catalogs that have a standardized data supply, however, can bring significant benefits, including:",{"type":20,"tag":21,"props":4634,"children":4635},{},[4636,4641],{"type":20,"tag":33,"props":4637,"children":4638},{},[4639],{"type":25,"value":4640},"Improved efficiency:",{"type":25,"value":4642}," Standardized data simplifies data integration, analysis, and sharing, reducing the time & effort required to utilize data effectively.",{"type":20,"tag":21,"props":4644,"children":4645},{},[4646,4651],{"type":20,"tag":33,"props":4647,"children":4648},{},[4649],{"type":25,"value":4650},"Better decision-making:",{"type":25,"value":4652}," Standardized data provides a reliable, consistent source of information that can be easily understood and utilized by all employees, leading to faster, more informed decision-making.",{"type":20,"tag":21,"props":4654,"children":4655},{},[4656,4661],{"type":20,"tag":33,"props":4657,"children":4658},{},[4659],{"type":25,"value":4660},"Enhanced data quality and consistency:",{"type":25,"value":4662}," Standardizing data ensures consistency across the organization's data assets, reducing the risk of errors and discrepancies, and leading to more accurate insights.",{"type":20,"tag":21,"props":4664,"children":4665},{},[4666,4671],{"type":20,"tag":33,"props":4667,"children":4668},{},[4669],{"type":25,"value":4670},"Increased collaboration:",{"type":25,"value":4672}," Standardized data enables better collaboration among teams and departments, as everyone can access and understand the same data in a consistent format.",{"type":20,"tag":21,"props":4674,"children":4675},{},[4676,4681],{"type":20,"tag":33,"props":4677,"children":4678},{},[4679],{"type":25,"value":4680},"Streamlined data management:",{"type":25,"value":4682}," Standardized data makes it easier to maintain, update, and ensure the accuracy of the data catalog.",{"type":20,"tag":21,"props":4684,"children":4685},{},[4686,4691],{"type":20,"tag":33,"props":4687,"children":4688},{},[4689],{"type":25,"value":4690},"Improved data security and compliance:",{"type":25,"value":4692}," Standardized data allows organizations to implement consistent security policies and controls, protecting sensitive data and ensuring compliance with data privacy regulations.",{"type":20,"tag":21,"props":4694,"children":4695},{},[4696,4701],{"type":20,"tag":33,"props":4697,"children":4698},{},[4699],{"type":25,"value":4700},"Greater agility:",{"type":25,"value":4702}," Standardized data catalogs help organizations be more agile in responding to market changes and staying ahead of the competition, as it's easier to analyze and derive insights.",{"type":20,"tag":21,"props":4704,"children":4705},{},[4706,4711],{"type":20,"tag":33,"props":4707,"children":4708},{},[4709],{"type":25,"value":4710},"Data interoperability:",{"type":25,"value":4712}," Standardized data promotes seamless data exchange and communication between different systems, tools, and applications.",{"type":20,"tag":223,"props":4714,"children":4716},{"id":4715},"with-great-efficiency-comes-great-power",[4717],{"type":25,"value":4718},"With great efficiency, comes great power",{"type":20,"tag":21,"props":4720,"children":4721},{},[4722],{"type":25,"value":4723},"When data scientists and engineers don't have to devote a significant amount of time cleaning and organizing data catalogs, they can shift their attention towards more impactful activities that are more valuable like:",{"type":20,"tag":903,"props":4725,"children":4726},{},[4727,4732,4737,4742,4747,4752],{"type":20,"tag":907,"props":4728,"children":4729},{},[4730],{"type":25,"value":4731},"Building better predictive models that optimize business processes and improve decision-making",{"type":20,"tag":907,"props":4733,"children":4734},{},[4735],{"type":25,"value":4736},"Creating interactive dashboards and visualizations that help stakeholders identify real-time insights",{"type":20,"tag":907,"props":4738,"children":4739},{},[4740],{"type":25,"value":4741},"Training machine learning algorithms to automate tasks and improve predictions",{"type":20,"tag":907,"props":4743,"children":4744},{},[4745],{"type":25,"value":4746},"Conducting exploratory data analysis to identify new opportunities and areas for improvement",{"type":20,"tag":907,"props":4748,"children":4749},{},[4750],{"type":25,"value":4751},"Developing data-driven products, such as recommendation engines or personalized content, that drive customer engagement and satisfaction",{"type":20,"tag":907,"props":4753,"children":4754},{},[4755],{"type":25,"value":4756},"Collaborating with other teams to identify new use cases for existing data sets",{"type":20,"tag":223,"props":4758,"children":4760},{"id":4759},"using-a-data-collaboration-platform-to-easily-create-a-data-catalog",[4761],{"type":25,"value":4762},"Using a Data collaboration platform to easily create a Data Catalog",{"type":20,"tag":21,"props":4764,"children":4765},{},[4766],{"type":25,"value":4767},"Data collaboration platforms provide a comprehensive solution for organizations looking to build a standardized data catalog more efficiently than doing it in-house. These platforms offer:",{"type":20,"tag":21,"props":4769,"children":4770},{},[4771,4776],{"type":20,"tag":33,"props":4772,"children":4773},{},[4774],{"type":25,"value":4775},"Scalability and flexibility:",{"type":25,"value":4777}," Data collaboration platforms are designed to scale with an organization's data needs, ensuring the data catalog remains up-to-date and relevant.",{"type":20,"tag":21,"props":4779,"children":4780},{},[4781,4786],{"type":20,"tag":33,"props":4782,"children":4783},{},[4784],{"type":25,"value":4785},"Integration capabilities:",{"type":25,"value":4787}," DCP’s provide pre-built integrations with various data sources, tools, and applications, simplifying the process of creating and maintaining a data catalog.",{"type":20,"tag":21,"props":4789,"children":4790},{},[4791,4796],{"type":20,"tag":33,"props":4792,"children":4793},{},[4794],{"type":25,"value":4795},"Data engineering automation:",{"type":25,"value":4797}," DCP’s reduce the time and effort required to maintain a data catalog by automating metadata management, data standardization processes, and data orchestration.",{"type":20,"tag":21,"props":4799,"children":4800},{},[4801,4806],{"type":20,"tag":33,"props":4802,"children":4803},{},[4804],{"type":25,"value":4805},"Cost-effectiveness:",{"type":25,"value":4807}," Leveraging a data collaboration platform is far more cost-effective than attempting to build and manage a data catalog in-house, as it avoids the costs associated with hiring, training, and maintaining dedicated data management teams.",{"type":20,"tag":21,"props":4809,"children":4810},{},[4811,4816],{"type":20,"tag":33,"props":4812,"children":4813},{},[4814],{"type":25,"value":4815},"Ease of use:",{"type":25,"value":4817}," By offering no-code tools, the world of data becomes accessible to everyone, regardless of their technical expertise empowering a wider range of employees to harness the power of data.",{"type":20,"tag":21,"props":4819,"children":4820},{},[4821],{"type":25,"value":4822},"A standardized data catalog is essential for organizations looking to maximize the value of their data assets. Narrative’s data collaboration platform offers the quickest and most cost-effective solution for building and maintaining a centralized, standardized data catalog.",{"type":20,"tag":223,"props":4824,"children":4826},{"id":4825},"narrative-allows-anyone-in-your-organization-to",[4827],{"type":25,"value":4828},"Narrative Allows Anyone in Your Organization to",{"type":20,"tag":903,"props":4830,"children":4831},{},[4832,4837,4842,4847,4852],{"type":20,"tag":907,"props":4833,"children":4834},{},[4835],{"type":25,"value":4836},"Automate data ingestion and standardization",{"type":20,"tag":907,"props":4838,"children":4839},{},[4840],{"type":25,"value":4841},"Slice, dice and create custom data sets for easy sharing",{"type":20,"tag":907,"props":4843,"children":4844},{},[4845],{"type":25,"value":4846},"Easily enrich your catalog with external data",{"type":20,"tag":907,"props":4848,"children":4849},{},[4850],{"type":25,"value":4851},"Collaborate with external systems & partners",{"type":20,"tag":907,"props":4853,"children":4854},{},[4855],{"type":25,"value":4856},"Monetize some or all of your catalog publicly or privately",{"type":20,"tag":21,"props":4858,"children":4859},{},[4860,4862,4869,4871,4877],{"type":25,"value":4861},"If you’d like to learn more, please ",{"type":20,"tag":44,"props":4863,"children":4866},{"href":4864,"rel":4865},"https://app.narrative.io/",[538],[4867],{"type":25,"value":4868},"sign up for free",{"type":25,"value":4870},", or ",{"type":20,"tag":44,"props":4872,"children":4874},{"href":4873},"/contact?hsCtaTracking=a1ee19c7-1896-4e56-849d-4d0f4cff4e0f%7C6e4b6d5a-4111-415e-93ce-b814da611e8a",[4875],{"type":25,"value":4876},"book a demo",{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":4879},[4880,4881,4882,4883,4884,4885],{"id":4574,"depth":380,"text":4577},{"id":4585,"depth":380,"text":4588},{"id":4624,"depth":380,"text":4627},{"id":4715,"depth":380,"text":4718},{"id":4759,"depth":380,"text":4762},{"id":4825,"depth":380,"text":4828},"content:blog:building-a-data-catalog-with-standardized-data.md","blog/building-a-data-catalog-with-standardized-data.md","blog/building-a-data-catalog-with-standardized-data",{"loc":4554},{"_path":4492,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":4891,"description":4892,"publishDate":4893,"author":12,"ogImage":4894,"image":4894,"tags":4895,"body":4898,"_type":195,"_id":5171,"_source":197,"_file":5172,"_stem":5173,"_extension":200,"sitemap":5174},"Easily Create and Buy Custom Datasets With Buyer Studio","Introducing Buyer Studio, a self-service, no-code app that enables users to find and buy the precise data they need with just a few clicks. ","2021-11-17 21:57:15","/img/blog/2021/11/Buyer-Studio-1.png",[4365,4896,4897,15],"data streams","narrative features",{"type":17,"children":4899,"toc":5157},[4900,4906,4911,4916,4921,4932,4937,4943,4948,4953,4958,4964,4969,4974,4980,4985,4990,4996,5001,5007,5013,5018,5023,5028,5033,5041,5047,5052,5057,5065,5071,5076,5084,5090,5095,5103,5109,5114,5122,5128,5133,5138,5143],{"type":20,"tag":223,"props":4901,"children":4903},{"id":4902},"buyer-studio-makes-it-easy-to-find-and-buy-precise-datasets-by-automating-the-most-time-and-labor-intensive-aspects-of-buying-data",[4904],{"type":25,"value":4905},"Buyer Studio makes it easy to find and buy precise datasets by automating the most time- and labor-intensive aspects of buying data",{"type":20,"tag":21,"props":4907,"children":4908},{},[4909],{"type":25,"value":4910},"Data is the foundation of all modern enterprises' decision-making, innovation, and growth. The most successful organizations augment their first-party data with valuable external sources to uncover new insights and gain a competitive advantage.",{"type":20,"tag":21,"props":4912,"children":4913},{},[4914],{"type":25,"value":4915},"However, sourcing external data has typically been cumbersome, time-intensive, and highly inefficient. Existing solutions alleviate some of these inefficiencies but do so at the expense of transparency and control over the process, leading to lots of duplicate and unusable data and wasted time and money.",{"type":20,"tag":21,"props":4917,"children":4918},{},[4919],{"type":25,"value":4920},"Data buyers need a tool that automates the most time- and labor-intensive parts of the data buying process while giving them precision and control over what they buy.",{"type":20,"tag":21,"props":4922,"children":4923},{},[4924,4926,4930],{"type":25,"value":4925},"That’s why we built ",{"type":20,"tag":33,"props":4927,"children":4928},{},[4929],{"type":25,"value":4495},{"type":25,"value":4931},", a self-service, no-code app that enables users of any skill level to find the precise data they need, place a custom order, and deliver their data directly to the systems they want, all with just a few clicks.",{"type":20,"tag":21,"props":4933,"children":4934},{},[4935],{"type":25,"value":4936},"With Buyer Studio, anyone can filter through trillions of rows of data from over 50 suppliers worldwide to create and buy custom datasets that meet their specific needs and priorities.",{"type":20,"tag":1495,"props":4938,"children":4940},{"id":4939},"fast-and-easy",[4941],{"type":25,"value":4942},"Fast and easy",{"type":20,"tag":21,"props":4944,"children":4945},{},[4946],{"type":25,"value":4947},"Buyer Studio was built to make it easy for users of any technical skill level to navigate the data-buying process without knowing any code. No longer does buying data require taking valuable time from your engineering team.",{"type":20,"tag":21,"props":4949,"children":4950},{},[4951],{"type":25,"value":4952},"The intuitive workflow and non-technical language mean anyone can create a custom data order, even your intern that started last week. The entire process also takes mere minutes to complete; you can create and purchase your data order before your morning coffee is finished brewing.",{"type":20,"tag":21,"props":4954,"children":4955},{},[4956],{"type":25,"value":4957},"And once you place an order, you don’t have to wait days or weeks to receive the data. Just place your order, and it will be delivered to your preferred endpoint by tomorrow morning.",{"type":20,"tag":1495,"props":4959,"children":4961},{"id":4960},"all-the-data-you-want",[4962],{"type":25,"value":4963},"All the data you want",{"type":20,"tag":21,"props":4965,"children":4966},{},[4967],{"type":25,"value":4968},"With Buyer Studio, you have access to trillions of data points from multiple data providers at once. You’ll be able to select the exact types of data that you’d like to acquire, including but not limited to geolocation, demographic, purchase, identity, and device data.",{"type":20,"tag":21,"props":4970,"children":4971},{},[4972],{"type":25,"value":4973},"Buyers can choose to receive data from every data supplier or only one data supplier or choose their favorites. Concerned you might accidentally purchase the same data from different suppliers? Narrative has your back. You can opt into our deduplication feature to ensure you never pay for the same data point more than once.",{"type":20,"tag":1495,"props":4975,"children":4977},{"id":4976},"only-the-data-you-need",[4978],{"type":25,"value":4979},"Only the data you need",{"type":20,"tag":21,"props":4981,"children":4982},{},[4983],{"type":25,"value":4984},"Buyer Studio’s precision filtering options enable users to include only the exact observations they need and exclude any that they don’t. You can be as meticulous with your data order as you’d like. You could, for instance, choose to purchase only 2,000 rows of data, but the exact 2,000 rows of data you need are based on your precise specifications.",{"type":20,"tag":21,"props":4986,"children":4987},{},[4988],{"type":25,"value":4989},"Buyer Studio also ensures that buyers have complete control over how much they spend. With custom budget controls, buyers will never be charged more than the budget they set.",{"type":20,"tag":1495,"props":4991,"children":4993},{"id":4992},"no-black-boxes",[4994],{"type":25,"value":4995},"No black boxes",{"type":20,"tag":21,"props":4997,"children":4998},{},[4999],{"type":25,"value":5000},"Guaranteed visibility into all suppliers and data points licensed ensures that you know you are receiving quality sourced data. You'll always know what data you’re buying, who you’re buying it from, and how much it will cost.",{"type":20,"tag":28,"props":5002,"children":5004},{"id":5003},"how-it-works",[5005],{"type":25,"value":5006},"How It Works",{"type":20,"tag":223,"props":5008,"children":5010},{"id":5009},"_1-start-a-data-subscription-or-buy-on-demand",[5011],{"type":25,"value":5012},"1. Start a data subscription or buy on demand",{"type":20,"tag":21,"props":5014,"children":5015},{},[5016],{"type":25,"value":5017},"There are three ways to buy data. You can select a subscription from a pre-made Narrative preset, start a subscription from scratch, or buy data on demand.",{"type":20,"tag":21,"props":5019,"children":5020},{},[5021],{"type":25,"value":5022},"Narrative presets are expert-built bundles with predetermined schemas created to include the most in-demand schemas on the platform. Select “Narrative Schema Presets” from the left-side menu and find the preset you want to subscribe to.",{"type":20,"tag":21,"props":5024,"children":5025},{},[5026],{"type":25,"value":5027},"Custom subscriptions: You can also create a custom data subscription by selecting specific attributes. To build your custom data stream from scratch, click “New Subscription,” and you’ll be taken to a list of attributes you can choose from. Select the attributes you want and leave the attributes you don’t want to be unselected.",{"type":20,"tag":21,"props":5029,"children":5030},{},[5031],{"type":25,"value":5032},"On-demand: If you need data fast but don't want to commit to a yearly contract up-front, you might prefer to buy data on demand. This is a more flexible pricing option that is based on data usage. You can access Narrative's data marketplace anytime, find your desired data, and buy it for one set price. This option is best if you only need data for a one-off project or to test one specific hypothesis without signing up for long-term data acquisition.",{"type":20,"tag":21,"props":5034,"children":5035},{},[5036],{"type":20,"tag":1630,"props":5037,"children":5040},{"alt":5038,"src":5039},"pick data stream","https://solutions.narrative.io/hubfs/Blog/pick%20data%20stream.png",[],{"type":20,"tag":223,"props":5042,"children":5044},{"id":5043},"_2-apply-custom-filters-choose-your-providers",[5045],{"type":25,"value":5046},"2. Apply custom filters & choose your providers",{"type":20,"tag":21,"props":5048,"children":5049},{},[5050],{"type":25,"value":5051},"Customize each order using Buyer Studio’s precision filters to limit your data. Only want data that covers women aged 25-34 in Argentina? No problem! You can adjust each data stream with the exact specifications you need. You can also choose to collect every data point available by simply leaving each attribute filter in its default configuration.",{"type":20,"tag":21,"props":5053,"children":5054},{},[5055],{"type":25,"value":5056},"Once you’ve customized your selected data streams, you’ll be given the option to buy from all providers or to make specific exclusions and inclusions. Specify which providers you would like to exclude or include in your subscription or simply choose to subscribe to all.",{"type":20,"tag":21,"props":5058,"children":5059},{},[5060],{"type":20,"tag":1630,"props":5061,"children":5064},{"alt":5062,"src":5063},"filters and providers","https://solutions.narrative.io/hubfs/Blog/filters%20and%20providers.png",[],{"type":20,"tag":223,"props":5066,"children":5068},{"id":5067},"_3-set-your-destination-budget",[5069],{"type":25,"value":5070},"3. Set your destination & budget",{"type":20,"tag":21,"props":5072,"children":5073},{},[5074],{"type":25,"value":5075},"Choose where you would like your data to be delivered from a list of our available integrations. You can also choose to have your data delivered to each different endpoint available. Once you’ve selected (s), you’ll be prompted to set your monthly spending limit. You can choose from our most popular budget options or enter a custom budget.",{"type":20,"tag":21,"props":5077,"children":5078},{},[5079],{"type":20,"tag":1630,"props":5080,"children":5083},{"alt":5081,"src":5082},"destination and budget","https://solutions.narrative.io/hubfs/Blog/destination%20and%20budget.png",[],{"type":20,"tag":223,"props":5085,"children":5087},{"id":5086},"_4-complete-your-purchase",[5088],{"type":25,"value":5089},"4. Complete your purchase",{"type":20,"tag":21,"props":5091,"children":5092},{},[5093],{"type":25,"value":5094},"Once you’ve created your custom data order, you are just a few clicks away from receiving your data delivery. Simply enter your payment information, add a name and description to easily identify your subscription, review your order, and click “Activate Subscription.” Your data order will be delivered to your chosen destination in hours.",{"type":20,"tag":21,"props":5096,"children":5097},{},[5098],{"type":20,"tag":1630,"props":5099,"children":5102},{"alt":5100,"src":5101},"Screen Shot 2021-11-17 at 5.27.40 PM","https://solutions.narrative.io/hubfs/Screen%20Shot%202021-11-17%20at%205.27.40%20PM.png",[],{"type":20,"tag":223,"props":5104,"children":5106},{"id":5105},"_5-manage-everything-in-one-place",[5107],{"type":25,"value":5108},"5. Manage everything in one place",{"type":20,"tag":21,"props":5110,"children":5111},{},[5112],{"type":25,"value":5113},"You’ll be able to see your transaction history, manage existing subscriptions, and connect with other platforms for direct data delivery, all within the app.",{"type":20,"tag":21,"props":5115,"children":5116},{},[5117],{"type":20,"tag":1630,"props":5118,"children":5121},{"alt":5119,"src":5120},"manage subscription","https://solutions.narrative.io/hubfs/Blog/manage%20subscription.png",[],{"type":20,"tag":1495,"props":5123,"children":5125},{"id":5124},"start-buying-data-the-easier-way",[5126],{"type":25,"value":5127},"Start buying data the easier way",{"type":20,"tag":21,"props":5129,"children":5130},{},[5131],{"type":25,"value":5132},"At Narrative, we strive to make buying data easy and efficient through a suite of frictionless, self-service applications.",{"type":20,"tag":21,"props":5134,"children":5135},{},[5136],{"type":25,"value":5137},"Buyer Studio provides innovative tools that streamline discovering and evaluating data from multiple sources. Browse and search through trillions of rows of quality data ingested daily from our dozens of reliable data suppliers.",{"type":20,"tag":21,"props":5139,"children":5140},{},[5141],{"type":25,"value":5142},"It’s never been so easy to select the exact data, budget, and destination you want and complete a checkout process within minutes. Only subscribe to the exact data you need and none you don’t.",{"type":20,"tag":21,"props":5144,"children":5145},{},[5146],{"type":20,"tag":33,"props":5147,"children":5148},{},[5149,5151,5156],{"type":25,"value":5150},"To get started with Buyer Studio, ",{"type":20,"tag":44,"props":5152,"children":5153},{"href":180},[5154],{"type":25,"value":5155},"schedule some time with our team of experts today",{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":5158},[5159,5160,5161,5162,5163,5170],{"id":4902,"depth":380,"text":4905},{"id":4939,"depth":193,"text":4942},{"id":4960,"depth":193,"text":4963},{"id":4976,"depth":193,"text":4979},{"id":4992,"depth":193,"text":4995,"children":5164},[5165,5166,5167,5168,5169],{"id":5009,"depth":380,"text":5012},{"id":5043,"depth":380,"text":5046},{"id":5067,"depth":380,"text":5070},{"id":5086,"depth":380,"text":5089},{"id":5105,"depth":380,"text":5108},{"id":5124,"depth":193,"text":5127},"content:blog:buyer-studio.md","blog/buyer-studio.md","blog/buyer-studio",{"loc":4492},{"_path":5176,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":5177,"description":5178,"publishDate":5179,"author":5180,"ogImage":5181,"image":5181,"tags":5182,"authorSlug":5184,"body":5185,"_type":195,"_id":5293,"_source":197,"_file":5294,"_stem":5295,"_extension":200,"sitemap":5296},"/blog/c-suites-blueprint-for-effective-data-governance-and-leadership","C-Suite's Blueprint for Effective Data Governance and Leadership","Explore how the C-suite can break down data silos, harness data assets, enhance governance, and foster data literacy.","2023-06-14 13:47:29","Tim Mahlman","/img/blog/2023/06/c-suite-blueprint-PREVIEW.png",[1262,1263,5183],"leadership","tim-mahlman",{"type":17,"children":5186,"toc":5291},[5187,5192,5199,5204,5209,5215,5220,5225,5231,5236,5241,5246,5252,5265,5270,5275,5281,5286],{"type":20,"tag":21,"props":5188,"children":5189},{},[5190],{"type":25,"value":5191},"In this era marked by rapid advancements in data and AI technologies, corporate leaders face a perplexing disconnect. On one side, there is a constant buzz about the importance of data. On the other, many organizations struggle to extract tangible value from their data assets. This article examines the practical challenges facing the C-suite in effectively leveraging data and outlines potential solutions.",{"type":20,"tag":5193,"props":5194,"children":5196},"h4",{"id":5195},"the-paradox-data-overload-and-organizational-silos",[5197],{"type":25,"value":5198},"The Paradox: Data Overload and Organizational Silos",{"type":20,"tag":21,"props":5200,"children":5201},{},[5202],{"type":25,"value":5203},"The deluge of data offers the potential for insights and informed decisions. However, the pace at which data sources and tools evolve often catches executives unprepared, making it difficult to discern which data is truly valuable.",{"type":20,"tag":21,"props":5205,"children":5206},{},[5207],{"type":25,"value":5208},"Adding to the complexity is the issue of data silos within organizations. Different departments tend to keep their data in isolation, making it difficult to gain a comprehensive view of the organization's information landscape. This hampers the ability to generate insights that span across various functions and ultimately limits the decision-making capacity of the C-suite.",{"type":20,"tag":5193,"props":5210,"children":5212},{"id":5211},"the-rise-of-data-leadership-and-governance",[5213],{"type":25,"value":5214},"The Rise of Data Leadership and Governance",{"type":20,"tag":21,"props":5216,"children":5217},{},[5218],{"type":25,"value":5219},"Recognizing the need for dedicated data leadership, many organizations have begun to introduce the role of Chief Data Officer (CDO). The CDO is tasked with steering the data strategy and ensuring that data is governed properly. Data governance includes ensuring data quality, maintaining security, and complying with regulations.",{"type":20,"tag":21,"props":5221,"children":5222},{},[5223],{"type":25,"value":5224},"However, the CDO's role is relatively new and organizations are still trying to figure out how to best integrate this position within their existing structures. Moreover, establishing effective data governance is a significant undertaking, involving the development of policies and procedures that will shape how data is managed and utilized.",{"type":20,"tag":5193,"props":5226,"children":5228},{"id":5227},"the-cdo-and-cto-partnership-a-symbiotic-relationship",[5229],{"type":25,"value":5230},"The CDO and CTO Partnership: A Symbiotic Relationship",{"type":20,"tag":21,"props":5232,"children":5233},{},[5234],{"type":25,"value":5235},"One of the critical dimensions of effectively leveraging data in an organization is the relationship between the Chief Data Officer (CDO) and the Chief Technology Officer (CTO). Traditionally, data systems have been under the purview of the CTO. However, as data's role transcends technology and becomes a central asset across business functions, the CDO’s role in maximizing value (while minimizing risk) is indispensable.",{"type":20,"tag":21,"props":5237,"children":5238},{},[5239],{"type":25,"value":5240},"This shift can be analogized with the evolution of web analytics. In earlier days, web analytics was seen as a technical domain and was owned by the CTO. But as businesses realized the impact of web analytics on marketing strategies, ownership gravitated towards the Chief Marketing Officer (CMO).",{"type":20,"tag":21,"props":5242,"children":5243},{},[5244],{"type":25,"value":5245},"In a similar vein, the CDO must work in tandem with the CTO to ensure that the technological framework is in place to support data governance, analytics, and value extraction. The CTO’s expertise in technology and the CDO’s acumen in data strategy should complement each other to build a robust data ecosystem within the organization.",{"type":20,"tag":5193,"props":5247,"children":5249},{"id":5248},"empowering-the-c-suite-through-collaboration-and-skill-development",[5250],{"type":25,"value":5251},"Empowering the C-Suite Through Collaboration and Skill Development",{"type":20,"tag":21,"props":5253,"children":5254},{},[5255,5257,5263],{"type":25,"value":5256},"One way to alleviate the pressures faced by the C-suite is through the adoption of ",{"type":20,"tag":44,"props":5258,"children":5260},{"href":5259},"/blog/data-collaboration-platform",[5261],{"type":25,"value":5262},"data collaboration platforms",{"type":25,"value":5264},". These platforms facilitate secure data sharing across different departments, reducing the effects of data silos and enabling the aggregation of data for richer insights.",{"type":20,"tag":21,"props":5266,"children":5267},{},[5268],{"type":25,"value":5269},"But technology is only one piece of the puzzle. For data initiatives to be effective, there must be a corresponding shift in organizational culture and skill development. The C-suite needs to foster an environment where data literacy is a valued skill, and employees are encouraged to engage in data-driven activities. This involves forming multidisciplinary teams that include data scientists, business analysts, and domain experts.",{"type":20,"tag":21,"props":5271,"children":5272},{},[5273],{"type":25,"value":5274},"Moreover, the C-suite should consider forming partnerships with external entities such as technology vendors, consulting firms, and academic institutions. These collaborations can bring new perspectives and specialized knowledge, further enhancing the organization's ability to extract value from data.",{"type":20,"tag":5193,"props":5276,"children":5278},{"id":5277},"building-an-agile-and-scalable-data-strategy",[5279],{"type":25,"value":5280},"Building an Agile and Scalable Data Strategy",{"type":20,"tag":21,"props":5282,"children":5283},{},[5284],{"type":25,"value":5285},"With the ever-evolving nature of data and AI technologies, its crucial for the C-suite to ensure that their data strategies are both agile and scalable. Being able to adapt to new trends and tools is vital, as is the ability to scale data capabilities in line with organizational growth.",{"type":20,"tag":21,"props":5287,"children":5288},{},[5289],{"type":25,"value":5290},"Navigating the complex world of data is a daunting task for any organization. By focusing on breaking down data silos, embracing data governance, fostering a collaborative relationship between the CDO and CTO, and building a data-literate culture, the C-suite can begin to realize the true value of their data assets. The CDO plays a pivotal role in this transformation, and empowering them with the right resources and authority is key to bridging the data chasm.",{"title":8,"searchDepth":193,"depth":193,"links":5292},[],"content:blog:c-suites-blueprint-for-effective-data-governance-and-leadership.md","blog/c-suites-blueprint-for-effective-data-governance-and-leadership.md","blog/c-suites-blueprint-for-effective-data-governance-and-leadership",{"loc":5176},{"_path":5298,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":5299,"description":5300,"publishDate":5301,"author":3094,"ogImage":5302,"image":5302,"tags":5303,"authorSlug":3099,"body":5304,"_type":195,"_id":5457,"_source":197,"_file":5458,"_stem":5459,"_extension":200,"sitemap":5460},"/blog/challenges-in-data-science-acquisition-normalization-cleansing","Challenges in Data Science: Acquisition, Normalization & Cleansing","In-Depth Exploration of Data Acquisition, Normalization, and Cleansing Challenges: A Data Scientist's Detailed Perspective","2023-06-02 12:30:06","/img/blog/2023/06/data-science-challenges-preview.png",[1262,1054,2665,1263],{"type":17,"children":5305,"toc":5453},[5306,5311,5317,5322,5327,5333,5338,5344,5349,5355,5360,5366,5371,5376,5381,5387,5392,5399,5404,5410,5415,5421,5426,5432,5437,5443,5448],{"type":20,"tag":21,"props":5307,"children":5308},{},[5309],{"type":25,"value":5310},"The exhilarating realm of data science is marked by its transformative power: its ability to convert the abstractness of raw data into potent insights that can steer organizational decision-making. However, it would be a gross oversimplification to say that this journey is a straight, smooth path. It's more like navigating through a labyrinth riddled with intricate challenges that often act as substantial barriers to data scientists. This comprehensive article aims to dissect the critical steps involved in this process, namely data acquisition, normalization, and cleansing, scrutinize their apparent and hidden challenges, and suggest pragmatic solutions to these hurdles.",{"type":20,"tag":223,"props":5312,"children":5314},{"id":5313},"data-acquisition-its-not-as-simple-as-abc",[5315],{"type":25,"value":5316},"Data Acquisition: It's Not as Simple as ABC",{"type":20,"tag":21,"props":5318,"children":5319},{},[5320],{"type":25,"value":5321},"Data acquisition, the pioneering step in the data science process, involves obtaining and ingesting raw data. The most prominent challenge at this stage is indeed access: pinpointing the right datasets, procuring them, and ascertaining their appropriate format.",{"type":20,"tag":21,"props":5323,"children":5324},{},[5325],{"type":25,"value":5326},"Let's consider the example of a healthcare organization trying to study the effects of a particular drug. They need to acquire data not only from their internal systems but also from external sources like drug manufacturers, other hospitals, and even patients themselves. Here, gaining access to external data might involve issues related to privacy, consent, and interoperability of disparate systems.",{"type":20,"tag":5193,"props":5328,"children":5330},{"id":5329},"but-beyond-this-ostensible-challenge-lies-a-subtle-potential-pitfall-bias",[5331],{"type":25,"value":5332},"But beyond this ostensible challenge lies a subtle, potential pitfall: bias",{"type":20,"tag":21,"props":5334,"children":5335},{},[5336],{"type":25,"value":5337},"A selection bias might creep in if the data being gathered isn't representative of the entire population under consideration. For instance, if our healthcare organization only considers data from urban hospitals and neglects rural ones, the final analysis might be skewed. Hence, ensuring unbiased, inclusive data is crucial to drive accurate analysis and interpretation.",{"type":20,"tag":5193,"props":5339,"children":5341},{"id":5340},"data-normalization-balancing-act-for-better-analysis",[5342],{"type":25,"value":5343},"Data Normalization: Balancing Act for Better Analysis",{"type":20,"tag":21,"props":5345,"children":5346},{},[5347],{"type":25,"value":5348},"Data normalization follows data acquisition. This process, which entails converting data to a common scale without warping differences in the range of values, presents its own unique trials. The most palpable challenge lies in picking the right normalization technique compatible with the dataset in question.",{"type":20,"tag":5193,"props":5350,"children":5352},{"id":5351},"however-another-challenge-looms-underneath-the-surface-managing-data",[5353],{"type":25,"value":5354},"However, another challenge looms underneath the surface: managing data",{"type":20,"tag":21,"props":5356,"children":5357},{},[5358],{"type":25,"value":5359},"normalization in real-time scenarios, particularly in cases of streaming data. For instance, social media platforms dealing with constant user-generated content need to normalize this data in real-time to make sense of it. Such immediate processing and analysis environments make normalization a daunting task.",{"type":20,"tag":5193,"props":5361,"children":5363},{"id":5362},"data-cleansing-more-than-just-spring-cleaning",[5364],{"type":25,"value":5365},"Data Cleansing: More Than Just Spring Cleaning",{"type":20,"tag":21,"props":5367,"children":5368},{},[5369],{"type":25,"value":5370},"Data cleansing, the practice of spotting and rectifying or deleting corrupt or inaccurate records from a dataset, often proves to be both time-intensive and frustrating. The immediate difficulty is in managing missing or inconsistent data, erroneous entries, and duplicate records.",{"type":20,"tag":21,"props":5372,"children":5373},{},[5374],{"type":25,"value":5375},"An interesting case highlighting this challenge is the famous example of 'dirty data' in Google's Flu Trends tool. The tool was designed to predict flu outbreaks based on online search behavior. However, it overestimated the prevalence of flu due to a lack of rigorous data cleansing, such as controlling for media influence on people's search behavior.",{"type":20,"tag":21,"props":5377,"children":5378},{},[5379],{"type":25,"value":5380},"Moreover, there's another layer of complexity involved: making judgement calls about outliers. It's often murky whether an outlier signifies a data entry error, a recording blunder, or a genuine deviation from the norm. Deciding whether to keep or discard such data points can dramatically affect the outcomes of the analysis.",{"type":20,"tag":223,"props":5382,"children":5384},{"id":5383},"easing-the-burden-comprehensive-solutions",[5385],{"type":25,"value":5386},"Easing the Burden: Comprehensive Solutions",{"type":20,"tag":21,"props":5388,"children":5389},{},[5390],{"type":25,"value":5391},"Addressing these challenges necessitates a fusion of strategic foresight and advanced technical solutions. Here are some enhanced suggestions:",{"type":20,"tag":5393,"props":5394,"children":5396},"h6",{"id":5395},"automating-the-data-pipeline",[5397],{"type":25,"value":5398},"Automating the Data Pipeline",{"type":20,"tag":21,"props":5400,"children":5401},{},[5402],{"type":25,"value":5403},"Automation can streamline the data acquisition, normalization, and cleansing process. Machine learning algorithms and AI tools can help identify, correct, or flag data quality issues, potentially reducing manual hours spent on these tasks by up to 60%.",{"type":20,"tag":5393,"props":5405,"children":5407},{"id":5406},"adopting-robust-data-governance",[5408],{"type":25,"value":5409},"Adopting Robust Data Governance",{"type":20,"tag":21,"props":5411,"children":5412},{},[5413],{"type":25,"value":5414},"A sound data governance framework can uphold high data quality standards, reducing issues related to bias and inaccuracy by up to 50%. This framework can safeguard data integrity right from the acquisition stage.",{"type":20,"tag":5393,"props":5416,"children":5418},{"id":5417},"investing-in-data-collaboration-platforms",[5419],{"type":25,"value":5420},"Investing in Data Collaboration Platforms",{"type":20,"tag":21,"props":5422,"children":5423},{},[5424],{"type":25,"value":5425},"Platforms dedicated to data sharing can simplify data acquisition by providing a hub for sharing and leveraging data across teams or even organizations, saving countless hours spent on redundant data acquisition tasks.",{"type":20,"tag":5393,"props":5427,"children":5429},{"id":5428},"training-upskilling",[5430],{"type":25,"value":5431},"Training & Upskilling",{"type":20,"tag":21,"props":5433,"children":5434},{},[5435],{"type":25,"value":5436},"Continuous learning can keep data scientists up-to-date with the best practices and latest tools for data normalization and cleansing, improving their efficiency by as much as 30%.",{"type":20,"tag":5393,"props":5438,"children":5440},{"id":5439},"utilizing-advanced-analytics-tools",[5441],{"type":25,"value":5442},"Utilizing Advanced Analytics Tools",{"type":20,"tag":21,"props":5444,"children":5445},{},[5446],{"type":25,"value":5447},"Cutting-edge analytics tools can handle real-time data normalization effectively, lifting a significant burden off data scientists' shoulders and reducing the time spent on normalization by nearly 40%.",{"type":20,"tag":21,"props":5449,"children":5450},{},[5451],{"type":25,"value":5452},"In conclusion, while data acquisition, normalization, and cleansing indeed pose significant challenges, well-planned strategies and advanced tools can significantly reduce the struggles faced by data scientists. The ultimate objective is to minimize friction, trim manual hours, and allow data scientists to focus on their core competence - extracting valuable insights from data. By addressing these challenges head-on, we can pave the way for a future where data scientists spend more time on decision-making and less on data wrangling.",{"title":8,"searchDepth":193,"depth":193,"links":5454},[5455,5456],{"id":5313,"depth":380,"text":5316},{"id":5383,"depth":380,"text":5386},"content:blog:challenges-in-data-science-acquisition-normalization-cleansing.md","blog/challenges-in-data-science-acquisition-normalization-cleansing.md","blog/challenges-in-data-science-acquisition-normalization-cleansing",{"loc":5298},{"_path":5462,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":5463,"description":5464,"publishDate":5465,"author":12,"ogImage":5466,"image":5466,"tags":5467,"body":5469,"_type":195,"_id":5669,"_source":197,"_file":5670,"_stem":5671,"_extension":200,"sitemap":5672},"/blog/competitive-intelligence","How to Use External Data to Improve Competitive Intelligence","Learn how to use external data to piece together a complete view of your competitors and apply it to your business strategies and missions.","2022-03-23 15:43:23","/img/blog/2022/03/improve-competitive-intelligence-with-external-data.png",[5468],"competitive intelligence",{"type":17,"children":5470,"toc":5659},[5471,5476,5482,5494,5499,5505,5519,5525,5536,5541,5546,5552,5564,5569,5574,5580,5592,5597,5602,5608,5613,5618,5624,5629,5649],{"type":20,"tag":21,"props":5472,"children":5473},{},[5474],{"type":25,"value":5475},"What if you had data that could help you understand your customers’ preferences and perception of your brand and product in comparison to their perception of competing brands and products? In order to become a leader in your industry, you need to get ahead of your competitors. And in order to get ahead of your competitors, you need to know your competitors inside and out.",{"type":20,"tag":1495,"props":5477,"children":5479},{"id":5478},"what-is-competitive-intelligence",[5480],{"type":25,"value":5481},"What is competitive intelligence?",{"type":20,"tag":21,"props":5483,"children":5484},{},[5485,5492],{"type":20,"tag":44,"props":5486,"children":5489},{"href":5487,"rel":5488},"https://www.narrative.io/solutions/competitive-intelligence",[538],[5490],{"type":25,"value":5491},"Competitive intelligence",{"type":25,"value":5493}," is the analysis of competitor information. It is the process of defining, gathering, and analyzing information about competitor products, customers, messaging, sales, etc. Understanding how your competitors operate and how their customers respond is important when it comes to your own organization’s own operations and initiatives.",{"type":20,"tag":21,"props":5495,"children":5496},{},[5497],{"type":25,"value":5498},"The most effective competitive intelligence involves the systematic collection and analysis of information from multiple sources. What you’ll need to perform the best competitive analysis is external data that provides information and insights on your direct and indirect competitors.",{"type":20,"tag":1495,"props":5500,"children":5502},{"id":5501},"how-can-you-use-external-data-for-competitive-intelligence",[5503],{"type":25,"value":5504},"How can you use external data for competitive intelligence?",{"type":20,"tag":21,"props":5506,"children":5507},{},[5508,5510,5517],{"type":25,"value":5509},"There are many different ",{"type":20,"tag":44,"props":5511,"children":5514},{"href":5512,"rel":5513},"https://www.narrative.io/data-types",[538],[5515],{"type":25,"value":5516},"types of data",{"type":25,"value":5518}," that can help you piece together a complete view of your competitors, and there are many different ways that data can be applied to your business strategies and missions. The use-cases listed below are a glimpse into a few of the most useful ways you can learn from external data sources and how you can apply those insights to your business:",{"type":20,"tag":223,"props":5520,"children":5522},{"id":5521},"location-data-for-better-marketing-and-site-planning",[5523],{"type":25,"value":5524},"Location data for better marketing and site-planning",{"type":20,"tag":21,"props":5526,"children":5527},{},[5528,5534],{"type":20,"tag":44,"props":5529,"children":5531},{"href":5530},"/blog/the-complete-guide-to-location-data",[5532],{"type":25,"value":5533},"Location data",{"type":25,"value":5535}," can give you insight into where your customers are going and if they are coming into contact with any of your competitor’s ads, brick-and-mortar locations, or events. 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You’ll be able to see which locations competitors have opened that are getting the least amount of footfall traffic and thus avoid setting up a location in an area that will only hemorrhage money. You can see if that pop-up event your competitor hosted flopped and brainstorm how you might be able to do it better to attract a larger audience.",{"type":20,"tag":223,"props":5547,"children":5549},{"id":5548},"app-usage-data-for-app-improvement-and-innovation",[5550],{"type":25,"value":5551},"App usage data for app improvement and innovation",{"type":20,"tag":21,"props":5553,"children":5554},{},[5555,5562],{"type":20,"tag":44,"props":5556,"children":5559},{"href":5557,"rel":5558},"https://www.narrative.io/data-types/mobile-app-usage-data",[538],[5560],{"type":25,"value":5561},"App usage data",{"type":25,"value":5563}," gives you a peek into how your customers are using apps on their phones, tablets, and computers. If your brand offers an app user experience for your customers and competing brands also offer an app experience, you can use app usage data to identify and evaluate your competition's strengths and weaknesses relative to those of your own app.",{"type":20,"tag":21,"props":5565,"children":5566},{},[5567],{"type":25,"value":5568},"You can evaluate which competitor apps are being downloaded and used more frequently than your own and use this data to determine why that might be. What features are popular or unpopular on competitor apps? Should you amend your own features? Is the user experience more seamless? Is the loading time much faster?",{"type":20,"tag":21,"props":5570,"children":5571},{},[5572],{"type":25,"value":5573},"Being able to see into the app usage of your competitor’s apps gives you a secret manual into the dos and don’ts of apps in your particular industry. It can help you redirect if you’re off course and can spark innovative ideas that will help you give your customers the most superior app experience.",{"type":20,"tag":223,"props":5575,"children":5577},{"id":5576},"market-share-data-for-identifying-customer-preferences-and-trends",[5578],{"type":25,"value":5579},"Market share data for identifying customer preferences and trends",{"type":20,"tag":21,"props":5581,"children":5582},{},[5583,5585,5590],{"type":25,"value":5584},"Market share data tells organizations the number of shares their competitors hold in the market. By ",{"type":20,"tag":44,"props":5586,"children":5587},{"href":324},[5588],{"type":25,"value":5589},"acquiring",{"type":25,"value":5591}," market share data, you get to see which of your competitors are doing better or worse than you and you also get to track market shares across different product categories. By analyzing how customers are driving the market in relation to you and your competitors, you can glean insights that will help you determine customer behavior, changes in economic trends, and audience perception and preference in your unique industry.",{"type":20,"tag":21,"props":5593,"children":5594},{},[5595],{"type":25,"value":5596},"For instance, if you are a swimsuit brand and you can see that a competing swimsuit brand holds 20% more of the market than you do in Florida, you can place focus on why that brand is capturing more of your audience in that region. Does your brand lack a presence in that region? Is there a swimsuit type that is more popular in that region that you aren’t manufacturing?",{"type":20,"tag":21,"props":5598,"children":5599},{},[5600],{"type":25,"value":5601},"Similarly, if you can see that a competing swimsuit brand is capturing more of the one-piece swimsuit market, you can evaluate why customers prefer their one-piece swimsuits to other competitors and apply that information to your own one-piece swimsuit products. Perhaps your brand’s market share in one-piece swimsuits drastically dipped because audience preference has moved to a certain material that your organization doesn’t use. The only way to know is to dive into the data.",{"type":20,"tag":223,"props":5603,"children":5605},{"id":5604},"pricing-data-for-strategic-pricing",[5606],{"type":25,"value":5607},"Pricing data for strategic pricing",{"type":20,"tag":21,"props":5609,"children":5610},{},[5611],{"type":25,"value":5612},"Using pricing data, you can identify pricing trends across your competition while being able to anticipate market changes relevant to your products or services. You’ll be able to see which competitors are pricing their products at optimal price points and how much those price points are fluctuating as your industry changes.",{"type":20,"tag":21,"props":5614,"children":5615},{},[5616],{"type":25,"value":5617},"Knowing how your competitors are pricing their products, you can make strategic decisions to lower your pricing to be more competitive, to capture a more “upscale” audience with more expensive products, or to match the general pricing of competitors in your industry. Whatever your organization decides, competitor pricing data will give you the roadmap to current and future pricing strategies.",{"type":20,"tag":1495,"props":5619,"children":5621},{"id":5620},"how-do-you-get-all-of-the-competitive-intelligence-data-you-need",[5622],{"type":25,"value":5623},"How do you get all of the competitive intelligence data you need?",{"type":20,"tag":21,"props":5625,"children":5626},{},[5627],{"type":25,"value":5628},"If you combine all of the data we discussed above plus any other relevant competitor data that you know will provide critical insights, you’ll have the power to grow your business multi-fold. But how do you get all of this data? There are so many different types of relevant data and so many different sources of data that organizations are often daunted by the task of acquiring all of the data they need.",{"type":20,"tag":21,"props":5630,"children":5631},{},[5632,5634,5639,5641,5647],{"type":25,"value":5633},"The easiest, fastest, and most effective way to get access to competitor data that will boost your business is to use a ",{"type":20,"tag":44,"props":5635,"children":5636},{"href":389},[5637],{"type":25,"value":5638},"data commerce",{"type":25,"value":5640}," platform. ",{"type":20,"tag":44,"props":5642,"children":5644},{"href":772,"rel":5643},[538],[5645],{"type":25,"value":5646},"Narrative’s data commerce platform",{"type":25,"value":5648}," gives organizations access to multiple data sources and multiple data types all at once. By simplifying and automating the most time- and labor-intensive aspects of data acquisition, you’ll be able to find and buy the exact data points you need from the data providers you select. And you’ll be able to browse and cherry-pick the data you want with just a few clicks. No negotiations needed and no technical expertise required.",{"type":20,"tag":21,"props":5650,"children":5651},{},[5652,5654],{"type":25,"value":5653},"Want to learn more? ",{"type":20,"tag":44,"props":5655,"children":5656},{"href":180},[5657],{"type":25,"value":5658},"Our experts will get you started.",{"title":8,"searchDepth":193,"depth":193,"links":5660},[5661,5662,5668],{"id":5478,"depth":193,"text":5481},{"id":5501,"depth":193,"text":5504,"children":5663},[5664,5665,5666,5667],{"id":5521,"depth":380,"text":5524},{"id":5548,"depth":380,"text":5551},{"id":5576,"depth":380,"text":5579},{"id":5604,"depth":380,"text":5607},{"id":5620,"depth":193,"text":5623},"content:blog:competitive-intelligence.md","blog/competitive-intelligence.md","blog/competitive-intelligence",{"loc":5462},{"_path":5674,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":5675,"description":5676,"publishDate":5677,"author":3094,"ogImage":5678,"image":5678,"tags":5679,"authorSlug":3099,"body":5681,"_type":195,"_id":5965,"_source":197,"_file":5966,"_stem":5967,"_extension":200,"sitemap":5968},"/blog/composable_identity_a_modern_approach_to_identity_resolution","Composable Identity — A Modern Approach to Identity Resolution","Traditional identity resolution tools are rigid and outdated. Composable Identity offers a smarter, more flexible approach to unify and activate your customer data.","2025-04-10T12:30:00.000Z","/img/blog/2025/04/composable_identity.png",[1262,1263,1264,5680],"composable identity",{"type":17,"children":5682,"toc":5952},[5683,5688,5700,5706,5711,5716,5722,5727,5732,5775,5780,5786,5791,5797,5820,5826,5839,5845,5863,5869,5887,5893,5916,5922,5927,5933,5938],{"type":20,"tag":21,"props":5684,"children":5685},{},[5686],{"type":25,"value":5687},"Understanding who your customers are across multiple platforms, devices, and touchpoints is essential. Traditional identity resolution platforms often promise comprehensive customer views but come with rigid, opaque architectures and limited flexibility.",{"type":20,"tag":21,"props":5689,"children":5690},{},[5691,5693,5698],{"type":25,"value":5692},"Narrative introduces a practical alternative: ",{"type":20,"tag":33,"props":5694,"children":5695},{},[5696],{"type":25,"value":5697},"Composable Identity",{"type":25,"value":5699},", a modular, transparent approach designed to integrate seamlessly with your existing data infrastructure.",{"type":20,"tag":1495,"props":5701,"children":5703},{"id":5702},"what-is-composable-identity",[5704],{"type":25,"value":5705},"What is Composable Identity?",{"type":20,"tag":21,"props":5707,"children":5708},{},[5709],{"type":25,"value":5710},"Composable Identity is a flexible and effective approach to entity recognition -- the act of determining for a piece of data what (or who) it is representing. It allows organizations to accurately identify and understand their customers by leveraging AI to analyze data that is often imprecise, incomplete, or scattered across different sources.",{"type":20,"tag":21,"props":5712,"children":5713},{},[5714],{"type":25,"value":5715},"Instead of relying on rigid frameworks, Narrative's Composable Identity empowers organizations to take whatever customer data they have—no matter how fragmented or inconsistent—and reliably determine \"who is who.\" It enables businesses to create clear, unified view from diverse data such as emails, device IDs, hashed PII, and even probabilistic signals, resulting in a more accurate, holistic understanding of each customer.",{"type":20,"tag":1495,"props":5717,"children":5719},{"id":5718},"why-effective-identity-resolution-matters",[5720],{"type":25,"value":5721},"Why Effective Identity Resolution Matters",{"type":20,"tag":21,"props":5723,"children":5724},{},[5725],{"type":25,"value":5726},"Without a unified and reliable view of customer identity, organizations risk missing critical insights and valuable opportunities hidden within fragmented data. Effective identity resolution provides the connective tissue needed to transform disparate customer interactions into a clear, actionable picture. Without this clarity, your organization is likely missing out on strategic opportunities, operating inefficiently, and struggling to deliver truly personalized experiences.",{"type":20,"tag":21,"props":5728,"children":5729},{},[5730],{"type":25,"value":5731},"Effective identity resolution specifically helps your organization achieve:",{"type":20,"tag":903,"props":5733,"children":5734},{},[5735,5745,5755,5765],{"type":20,"tag":907,"props":5736,"children":5737},{},[5738,5743],{"type":20,"tag":33,"props":5739,"children":5740},{},[5741],{"type":25,"value":5742},"Personalization:",{"type":25,"value":5744}," Deliver relevant content and offers in real-time.",{"type":20,"tag":907,"props":5746,"children":5747},{},[5748,5753],{"type":20,"tag":33,"props":5749,"children":5750},{},[5751],{"type":25,"value":5752},"Efficiency:",{"type":25,"value":5754}," Eliminate duplicate targeting and optimize media 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Narrative's Composable Identity Apart?",{"type":20,"tag":21,"props":5787,"children":5788},{},[5789],{"type":25,"value":5790},"Narrative prioritizes modularity, transparency, and customization, allowing organizations full control over their identity strategy:",{"type":20,"tag":223,"props":5792,"children":5794},{"id":5793},"flexible-data-management",[5795],{"type":25,"value":5796},"Flexible Data Management",{"type":20,"tag":903,"props":5798,"children":5799},{},[5800,5810],{"type":20,"tag":907,"props":5801,"children":5802},{},[5803,5808],{"type":20,"tag":33,"props":5804,"children":5805},{},[5806],{"type":25,"value":5807},"Customer-controlled environments:",{"type":25,"value":5809}," Keep sensitive data secure within your own infrastructure.",{"type":20,"tag":907,"props":5811,"children":5812},{},[5813,5818],{"type":20,"tag":33,"props":5814,"children":5815},{},[5816],{"type":25,"value":5817},"Narrative Cloud:",{"type":25,"value":5819}," A fully managed alternative for easy setup and cost-effectiveness.",{"type":20,"tag":223,"props":5821,"children":5823},{"id":5822},"customizable-data-sources",[5824],{"type":25,"value":5825},"Customizable Data Sources",{"type":20,"tag":903,"props":5827,"children":5828},{},[5829,5834],{"type":20,"tag":907,"props":5830,"children":5831},{},[5832],{"type":25,"value":5833},"Integrate first-party, third-party, or blended datasets.",{"type":20,"tag":907,"props":5835,"children":5836},{},[5837],{"type":25,"value":5838},"Combine deterministic identifiers (emails, phone numbers) and probabilistic signals (IP addresses, household data) enhanced by artificial intelligence.",{"type":20,"tag":223,"props":5840,"children":5842},{"id":5841},"configurable-identity-models",[5843],{"type":25,"value":5844},"Configurable Identity Models",{"type":20,"tag":903,"props":5846,"children":5847},{},[5848,5853,5858],{"type":20,"tag":907,"props":5849,"children":5850},{},[5851],{"type":25,"value":5852},"Use built-in deterministic, probabilistic, or graph-based mapping methods.",{"type":20,"tag":907,"props":5854,"children":5855},{},[5856],{"type":25,"value":5857},"Refine the output using ML models optimized using your own data and judgements",{"type":20,"tag":907,"props":5859,"children":5860},{},[5861],{"type":25,"value":5862},"Add your own logic and rules without losing transparency.",{"type":20,"tag":223,"props":5864,"children":5866},{"id":5865},"universal-activation",[5867],{"type":25,"value":5868},"Universal Activation",{"type":20,"tag":903,"props":5870,"children":5871},{},[5872,5877,5882],{"type":20,"tag":907,"props":5873,"children":5874},{},[5875],{"type":25,"value":5876},"Analyze resolved identities directly within your data warehouse.",{"type":20,"tag":907,"props":5878,"children":5879},{},[5880],{"type":25,"value":5881},"Easily activate identities on major platforms (Meta, Yahoo, etc.) through Narrative's connectors.",{"type":20,"tag":907,"props":5883,"children":5884},{},[5885],{"type":25,"value":5886},"Develop custom integrations with robust APIs.",{"type":20,"tag":223,"props":5888,"children":5890},{"id":5889},"ease-of-use",[5891],{"type":25,"value":5892},"Ease of Use",{"type":20,"tag":903,"props":5894,"children":5895},{},[5896,5901,5906,5911],{"type":20,"tag":907,"props":5897,"children":5898},{},[5899],{"type":25,"value":5900},"Simple, intuitive interface—no specialized data science skills required.",{"type":20,"tag":907,"props":5902,"children":5903},{},[5904],{"type":25,"value":5905},"Rapid implementation timelines (days or weeks).",{"type":20,"tag":907,"props":5907,"children":5908},{},[5909],{"type":25,"value":5910},"Self-service capabilities to minimize ongoing IT support.",{"type":20,"tag":907,"props":5912,"children":5913},{},[5914],{"type":25,"value":5915},"UI's that show you an actual picture of your identity strategy",{"type":20,"tag":1495,"props":5917,"children":5919},{"id":5918},"real-world-benefits",[5920],{"type":25,"value":5921},"Real-World Benefits",{"type":20,"tag":21,"props":5923,"children":5924},{},[5925],{"type":25,"value":5926},"Composable Identity enables practical outcomes like recognizing a customer's online interactions, connecting those interactions to offline purchases, and delivering targeted offers across multiple channels. Retailers, CPG brands, and publishers already use Composable Identity to build powerful, integrated identity strategies that significantly outperform legacy systems.",{"type":20,"tag":1495,"props":5928,"children":5930},{"id":5929},"a-composable-future",[5931],{"type":25,"value":5932},"A Composable Future",{"type":20,"tag":21,"props":5934,"children":5935},{},[5936],{"type":25,"value":5937},"Narrative's Composable Identity helps you build flexible, adaptable identity strategies that scale with these changes.",{"type":20,"tag":21,"props":5939,"children":5940},{},[5941,5943],{"type":25,"value":5942},"To see Composable Identity in action, ",{"type":20,"tag":44,"props":5944,"children":5946},{"href":2150,"rel":5945},[538],[5947],{"type":20,"tag":33,"props":5948,"children":5949},{},[5950],{"type":25,"value":5951},"schedule a demo.",{"title":8,"searchDepth":193,"depth":193,"links":5953},[5954,5955,5956,5963,5964],{"id":5702,"depth":193,"text":5705},{"id":5718,"depth":193,"text":5721},{"id":5782,"depth":193,"text":5785,"children":5957},[5958,5959,5960,5961,5962],{"id":5793,"depth":380,"text":5796},{"id":5822,"depth":380,"text":5825},{"id":5841,"depth":380,"text":5844},{"id":5865,"depth":380,"text":5868},{"id":5889,"depth":380,"text":5892},{"id":5918,"depth":193,"text":5921},{"id":5929,"depth":193,"text":5932},"content:blog:composable_identity_a_modern_approach_to_identity_resolution.md","blog/composable_identity_a_modern_approach_to_identity_resolution.md","blog/composable_identity_a_modern_approach_to_identity_resolution",{"loc":5674},{"_path":5970,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":5971,"description":5972,"publishDate":5973,"author":3778,"ogImage":5974,"image":5974,"tags":5975,"body":5977,"_type":195,"_id":6079,"_source":197,"_file":6080,"_stem":6081,"_extension":200,"sitemap":6082},"/blog/cost-estimates","Data stream row counts, cost estimates, and dataset statistics are now available","Users will now be able to see an estimate of the number of rows of data contained within a data stream and find summary statistics for their datasets.","2022-06-28 14:25:59","/img/blog/2022/06/6-2.png",[5976],"product updates",{"type":17,"children":5978,"toc":6073},[5979,5990,5995,6010,6018,6030,6047,6055],{"type":20,"tag":223,"props":5980,"children":5982},{"id":5981},"data-stream-row-count-and-cost-estimates-in-data-shops-and-data-marketplace",[5983,5985],{"type":25,"value":5984},"Data stream row count and cost estimates in Data Shops and ",{"type":20,"tag":44,"props":5986,"children":5987},{"href":324},[5988],{"type":25,"value":5989},"Data Marketplace",{"type":20,"tag":21,"props":5991,"children":5992},{},[5993],{"type":25,"value":5994},"Now both sellers and buyers will be able to transact data with even more transparency. Sellers will be able to let their customers know upfront how many rows of data are available in each data stream and also provide the cost to purchase the entirety of the data within each stream.",{"type":20,"tag":21,"props":5996,"children":5997},{},[5998,6002,6004,6008],{"type":20,"tag":44,"props":5999,"children":6000},{"href":566},[6001],{"type":25,"value":340},{"type":25,"value":6003}," and the ",{"type":20,"tag":44,"props":6005,"children":6006},{"href":324},[6007],{"type":25,"value":5989},{"type":25,"value":6009}," will now prominently display the estimated number of rows of data contained within a seller's data stream. The cost to purchase all of the data (if a smaller budget has not been entered) is also displayed. This will make it easy for buyers to understand how much data is available at any given time and allows them to more accurately budget for the data they want to acquire.",{"type":20,"tag":21,"props":6011,"children":6012},{},[6013],{"type":20,"tag":1630,"props":6014,"children":6017},{"alt":6015,"src":6016},"Screen Shot 2022-06-28 at 10.27.43 AM","https://solutions.narrative.io/hubfs/Screen%20Shot%202022-06-28%20at%2010.27.43%20AM.png",[],{"type":20,"tag":223,"props":6019,"children":6021},{"id":6020},"dataset-statistics-in-my-data",[6022,6024],{"type":25,"value":6023},"Dataset statistics in ",{"type":20,"tag":44,"props":6025,"children":6027},{"href":6026},"/products/my-data",[6028],{"type":25,"value":6029},"My Data",{"type":20,"tag":21,"props":6031,"children":6032},{},[6033,6035,6039,6041,6045],{"type":25,"value":6034},"You will now also be able to find summary statistics for your datasets in ",{"type":20,"tag":44,"props":6036,"children":6037},{"href":6026},[6038],{"type":25,"value":6029},{"type":25,"value":6040},". You are now able to see the current size of your dataset, when your dataset was last successfully ingested, and a log of all previous ingestions. This includes the row count, size, date and time of each ingestion. This is very useful for validating your ingestion process and understanding how much data ",{"type":20,"tag":44,"props":6042,"children":6043},{"href":558},[6044],{"type":25,"value":3778},{"type":25,"value":6046}," is storing on your behalf for billing purposes.",{"type":20,"tag":21,"props":6048,"children":6049},{},[6050],{"type":20,"tag":1630,"props":6051,"children":6054},{"alt":6052,"src":6053},"Untitled-2","https://solutions.narrative.io/hubfs/Untitled-2.png",[],{"type":20,"tag":21,"props":6056,"children":6057},{},[6058,6060,6065,6066,6071],{"type":25,"value":6059},"Buy and sell data the easy way. Visit the ",{"type":20,"tag":44,"props":6061,"children":6062},{"href":324},[6063],{"type":25,"value":6064},"Narrative Data Marketplace",{"type":25,"value":4870},{"type":20,"tag":44,"props":6067,"children":6068},{"href":180},[6069],{"type":25,"value":6070},"contact one of our experts",{"type":25,"value":6072}," to get started.",{"title":8,"searchDepth":193,"depth":193,"links":6074},[6075,6077],{"id":5981,"depth":380,"text":6076},"Data stream row count and cost estimates in Data Shops and Data Marketplace",{"id":6020,"depth":380,"text":6078},"Dataset statistics in My Data","content:blog:cost-estimates.md","blog/cost-estimates.md","blog/cost-estimates",{"loc":5970},{"_path":6084,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":6085,"description":6086,"publishDate":6087,"author":6088,"ogImage":6089,"image":6089,"tags":6090,"authorSlug":3099,"body":6091,"_type":195,"_id":6357,"_source":197,"_file":6358,"_stem":6359,"_extension":200,"sitemap":6360},"/blog/data-acquisition-costs","Streamlining Your Data Acquisition Strategy: How to Reduce Costs and Improve Efficiency","Learn what factors contribute to data acquisition costs and effective strategies for reducing them.","2023-03-24T14:32:29.000Z","Steven Schwartz","/img/blog/2023/03/data-acquisition-costs.png",[],{"type":17,"children":6092,"toc":6336},[6093,6098,6104,6109,6115,6120,6126,6131,6137,6142,6148,6153,6159,6164,6170,6175,6181,6186,6191,6196,6202,6207,6212,6235,6240,6246,6251,6256,6262,6267,6273,6278,6284,6289,6295,6300,6306,6317,6322,6327,6331],{"type":20,"tag":21,"props":6094,"children":6095},{},[6096],{"type":25,"value":6097},"Data has become an essential commodity for businesses and organizations in today's world. Companies rely on external data acquisition to gain insights, make informed decisions, and stay ahead of their competition. However, the costs of acquiring external data can quickly add up without you even noticing. In this article, we will explore why you should care about external data acquisition costs, what factors contribute to them, and how to reduce them effectively.",{"type":20,"tag":1495,"props":6099,"children":6101},{"id":6100},"why-care-about-external-data-acquisition-costs",[6102],{"type":25,"value":6103},"Why care about external data acquisition costs?",{"type":20,"tag":21,"props":6105,"children":6106},{},[6107],{"type":25,"value":6108},"External data acquisition costs can significantly impact a company's budget, especially for small and medium-sized businesses. High costs can reduce the amount of data available for analysis and decision-making, limiting a company's ability to stay competitive. By understanding and managing these costs, companies can make better use of their resources and optimize their data acquisition strategy.",{"type":20,"tag":1495,"props":6110,"children":6112},{"id":6111},"what-goes-into-data-acquisition-costs",[6113],{"type":25,"value":6114},"What goes into data acquisition costs?",{"type":20,"tag":21,"props":6116,"children":6117},{},[6118],{"type":25,"value":6119},"There are several processes involved in acquiring external data, and each one adds to the overall costs. It's important to review each step involved in data acquisition to fully understand how they contribute.",{"type":20,"tag":223,"props":6121,"children":6123},{"id":6122},"data-sourcing",[6124],{"type":25,"value":6125},"Data sourcing",{"type":20,"tag":21,"props":6127,"children":6128},{},[6129],{"type":25,"value":6130},"One of the main factors affecting external data acquisition costs is the process of sourcing the data. This includes identifying relevant data sources, negotiating contracts, and paying for access to the data. This process can take significant time, oftentimes numerous months, Depending on the industry and data type, the costs for acquiring data can vary significantly.",{"type":20,"tag":223,"props":6132,"children":6134},{"id":6133},"data-quality-and-cleansing",[6135],{"type":25,"value":6136},"Data quality and cleansing",{"type":20,"tag":21,"props":6138,"children":6139},{},[6140],{"type":25,"value":6141},"Data quality is a critical aspect of data acquisition. Ensuring the data collected is accurate, up-to-date, and reliable requires significant effort, including data cleansing and validation. This process can be time-consuming and expensive, especially when dealing with large volumes of data or complex datasets.",{"type":20,"tag":223,"props":6143,"children":6145},{"id":6144},"data-integration",[6146],{"type":25,"value":6147},"Data integration",{"type":20,"tag":21,"props":6149,"children":6150},{},[6151],{"type":25,"value":6152},"Once external data is sourced and cleaned, it must be transformed into a format compatible with existing internal data systems. Data may need to be further combined, enriched, or aggregated with other data sources to be useful. Integrating data typically requires significant resources, both in terms of time and money, as companies often need to invest in custom development and ongoing support.",{"type":20,"tag":223,"props":6154,"children":6156},{"id":6155},"legal-and-compliance-issues",[6157],{"type":25,"value":6158},"Legal and compliance issues",{"type":20,"tag":21,"props":6160,"children":6161},{},[6162],{"type":25,"value":6163},"Acquiring external data involves navigating various legal and compliance issues. These may include data privacy regulations, data usage restrictions, and intellectual property rights. Ensuring compliance with these regulations can be complex and costly, but failure to do so can result in significant penalties and reputational damage.",{"type":20,"tag":1495,"props":6165,"children":6167},{"id":6166},"how-to-evaluate-data-acquisition-costs",[6168],{"type":25,"value":6169},"How to evaluate data acquisition costs",{"type":20,"tag":21,"props":6171,"children":6172},{},[6173],{"type":25,"value":6174},"At the end of the day, all the factors contributing to the cost of data acquisition can be organized into three main buckets: money, time, and risk. By examining each, decision-makers can better understand the full scope of costs associated with a data project.",{"type":20,"tag":223,"props":6176,"children":6178},{"id":6177},"money",[6179],{"type":25,"value":6180},"Money",{"type":20,"tag":21,"props":6182,"children":6183},{},[6184],{"type":25,"value":6185},"Money is probably the first and most obvious aspect to consider when evaluating data acquisition costs. And certainly, a lot of costs can be saved by finding ways to reduce the amount of money spent on data.",{"type":20,"tag":21,"props":6187,"children":6188},{},[6189],{"type":25,"value":6190},"One of the main reasons why external data acquisition costs can be high is due to the fact that the process often involves a significant amount of overlapping or duplicated efforts. This can occur when different departments or teams within a company are each pursuing their own data acquisition efforts, resulting in duplicate costs and inefficiencies. Moreover, it can be challenging to determine whether you are getting the best price for the data, as it may be hard to compare prices across different data providers or identify the ideal data sources to meet your specific needs.",{"type":20,"tag":21,"props":6192,"children":6193},{},[6194],{"type":25,"value":6195},"To reduce data acquisition costs, companies should centralize their data acquisition processes. By doing so, organizations can streamline their processes and reduce the resources required for data sourcing, cleansing, and integration.",{"type":20,"tag":223,"props":6197,"children":6199},{"id":6198},"time",[6200],{"type":25,"value":6201},"Time",{"type":20,"tag":21,"props":6203,"children":6204},{},[6205],{"type":25,"value":6206},"Researching and locating data, negotiating contracts, building infrastructure, and processing large, unstructured data sets are all time-consuming tasks that increase the cost of acquiring external data. These tasks extend project timelines and divert expensive FTEs, such as engineers, data scientists, and lawyers, away from other value-generating activities.",{"type":20,"tag":21,"props":6208,"children":6209},{},[6210],{"type":25,"value":6211},"In order to minimize costs and maximize efficiency, organizations should look for ways to reduce the amount of time these processes require:",{"type":20,"tag":903,"props":6213,"children":6214},{},[6215,6220,6225,6230],{"type":20,"tag":907,"props":6216,"children":6217},{},[6218],{"type":25,"value":6219},"To minimize the time associated with sourcing data, companies can make use of data marketplaces, where they can quickly identify relevant data sources.",{"type":20,"tag":907,"props":6221,"children":6222},{},[6223],{"type":25,"value":6224},"Negotiating contracts can be made more efficient by standardizing contract terms and conditions.",{"type":20,"tag":907,"props":6226,"children":6227},{},[6228],{"type":25,"value":6229},"Building infrastructure connections can be streamlined by using existing data platforms or APIs, rather than building custom integrations from scratch.",{"type":20,"tag":907,"props":6231,"children":6232},{},[6233],{"type":25,"value":6234},"Processing large datasets can be accelerated through the use of machine learning algorithms and other advanced data processing techniques.",{"type":20,"tag":21,"props":6236,"children":6237},{},[6238],{"type":25,"value":6239},"By reducing the time involved in these processes, organizations can allocate their resources more efficiently and generate value more quickly.",{"type":20,"tag":223,"props":6241,"children":6243},{"id":6242},"risk",[6244],{"type":25,"value":6245},"Risk",{"type":20,"tag":21,"props":6247,"children":6248},{},[6249],{"type":25,"value":6250},"Data governance is a critical component of any data strategy. Rules and regulations regarding data use and privacy are continuously evolving, and any data strategy that is not diligent in its approach to data governance risks exposure to substantial future costs through fines, legal challenges, and loss of customer trust or goodwill.",{"type":20,"tag":21,"props":6252,"children":6253},{},[6254],{"type":25,"value":6255},"To minimize risk and uncertainty in your data strategy, businesses should prioritize controls, security, and compliance. Establishing control over data management and ensuring security at both the data and organizational levels can reduce the need for expensive corrective actions down the line. Maintaining compliance and good data governance are key to staying ahead of changes that could have a financial impact on your organization.",{"type":20,"tag":1495,"props":6257,"children":6259},{"id":6258},"strategies-for-reducing-data-acquisition-costs",[6260],{"type":25,"value":6261},"Strategies for reducing data acquisition costs",{"type":20,"tag":21,"props":6263,"children":6264},{},[6265],{"type":25,"value":6266},"Reducing external data acquisition costs can help businesses maximize their return on investment and stay competitive. Here are some ways to reduce external data acquisition costs:",{"type":20,"tag":223,"props":6268,"children":6270},{"id":6269},"form-data-partnerships-and-collaborations",[6271],{"type":25,"value":6272},"Form data partnerships and collaborations",{"type":20,"tag":21,"props":6274,"children":6275},{},[6276],{"type":25,"value":6277},"Forming partnerships or collaborations with other companies can be a cost-effective way to acquire external data. By sharing data resources, both parties can access valuable insights without the need to invest in acquiring the data independently.",{"type":20,"tag":223,"props":6279,"children":6281},{"id":6280},"leverage-open-data-initiatives",[6282],{"type":25,"value":6283},"Leverage open data initiatives",{"type":20,"tag":21,"props":6285,"children":6286},{},[6287],{"type":25,"value":6288},"Open data sources, such as government or public databases, can be a cost-effective way to acquire valuable information. The data they provide is typically free, and acquiring it rarely requires negotiations or contracts. However, open data sources may not always be relevant or comprehensive enough for a company's needs, and the quality of the data may vary. Additionally, open data sources may not be updated frequently, which can limit the usefulness of the information. Companies should carefully consider the benefits and limitations of open data sources before relying on them as a primary source of external data.",{"type":20,"tag":223,"props":6290,"children":6292},{"id":6291},"centralize-data-acquisition",[6293],{"type":25,"value":6294},"Centralize data acquisition",{"type":20,"tag":21,"props":6296,"children":6297},{},[6298],{"type":25,"value":6299},"Centralizing data acquisition is another effective strategy for reducing external data acquisition costs. When data acquisition efforts are decentralized, there is often a duplication of efforts and a lack of coordination, which can result in unnecessary expenses. By centralizing data acquisition, organizations can streamline their data acquisition processes and reduce the resources needed for data sourcing, quality and cleansing, integration and storage, and legal and compliance issues. Centralization can also improve data quality and timeliness by ensuring that data is collected, processed, and managed consistently across the organization. This ultimately leads to cost savings and improved efficiency for the organization.",{"type":20,"tag":223,"props":6301,"children":6303},{"id":6302},"utilize-a-data-collaboration-platform",[6304],{"type":25,"value":6305},"Utilize a data collaboration platform",{"type":20,"tag":21,"props":6307,"children":6308},{},[6309,6311,6315],{"type":25,"value":6310},"Using a ",{"type":20,"tag":44,"props":6312,"children":6313},{"href":5259},[6314],{"type":25,"value":776},{"type":25,"value":6316}," can be an effective strategy for reducing external data acquisition costs. One of the most significant benefits is the cost savings it can provide. By centralizing data acquisition efforts and streamlining data processes, organizations can improve efficiency and reduce the resources needed for data sourcing, quality and cleansing, integration and storage, and legal and compliance issues. By providing a single source of truth for data, a data collaboration platform can also help ensure duplicate data is not being purchased. This can result in lower costs and more accurate, reliable data.",{"type":20,"tag":21,"props":6318,"children":6319},{},[6320],{"type":25,"value":6321},"In addition to reducing costs, a data collaboration platform can also help reduce the amount of time required for data acquisition. By automating data cleansing and integration processes, a data collaboration platform can significantly reduce the amount of time required to complete these tasks. This can also help eliminate the need for expensive FTEs, such as engineers, data scientists, and lawyers, to perform these tasks, freeing up these resources for other value-generating activities.",{"type":20,"tag":21,"props":6323,"children":6324},{},[6325],{"type":25,"value":6326},"Finally, a data collaboration platform can help reduce risk by ensuring that data is collected, processed, and managed consistently across the organization. This can help minimize the risk of data breaches, regulatory violations, and other legal and compliance issues, reducing the need for expensive corrective actions down the line.",{"type":20,"tag":1495,"props":6328,"children":6329},{"id":1400},[6330],{"type":25,"value":1403},{"type":20,"tag":21,"props":6332,"children":6333},{},[6334],{"type":25,"value":6335},"External data acquisition is essential for informed decision-making, gaining a competitive advantage, and enhancing product development. However, the costs associated with data sourcing, quality and cleansing, integration and storage, and legal and compliance issues can be significant. To reduce these costs, businesses can consider strategies such as data partnerships and collaborations, open data initiatives, centralizing data acquisition, and utilizing data collaboration platforms. By implementing these strategies, companies can reduce their data acquisition costs while still benefiting from valuable external data insights.",{"title":8,"searchDepth":193,"depth":193,"links":6337},[6338,6339,6345,6350,6356],{"id":6100,"depth":193,"text":6103},{"id":6111,"depth":193,"text":6114,"children":6340},[6341,6342,6343,6344],{"id":6122,"depth":380,"text":6125},{"id":6133,"depth":380,"text":6136},{"id":6144,"depth":380,"text":6147},{"id":6155,"depth":380,"text":6158},{"id":6166,"depth":193,"text":6169,"children":6346},[6347,6348,6349],{"id":6177,"depth":380,"text":6180},{"id":6198,"depth":380,"text":6201},{"id":6242,"depth":380,"text":6245},{"id":6258,"depth":193,"text":6261,"children":6351},[6352,6353,6354,6355],{"id":6269,"depth":380,"text":6272},{"id":6280,"depth":380,"text":6283},{"id":6291,"depth":380,"text":6294},{"id":6302,"depth":380,"text":6305},{"id":1400,"depth":193,"text":1403},"content:blog:data-acquisition-costs.md","blog/data-acquisition-costs.md","blog/data-acquisition-costs",{"loc":6084},{"_path":6362,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":6363,"description":6364,"publishDate":6365,"author":12,"ogImage":6366,"image":6366,"tags":6367,"body":6368,"_type":195,"_id":6603,"_source":197,"_file":6604,"_stem":6605,"_extension":200,"sitemap":6606},"/blog/data-collaboration-explained","Data Collaboration Explained","Data collaboration has the power to bring data together and extract value. Learn what data collaboration is, why it's important, and how you can use it.","2023-02-01 22:36:00","/img/blog/2023/02/Screen-Shot-2023-02-01-at-5.33.45-PM.png",[1262],{"type":17,"children":6369,"toc":6589},[6370,6375,6380,6386,6397,6402,6448,6454,6459,6465,6470,6475,6481,6486,6492,6497,6509,6515,6520,6526,6531,6537,6542,6548,6553,6559,6571,6576],{"type":20,"tag":21,"props":6371,"children":6372},{},[6373],{"type":25,"value":6374},"Businesses are sitting on a goldmine of valuable information waiting to be harnessed. Unfortunately many are falling short of realizing data’s full potential. The challenge lies in the fact that all this data is dispersed among countless ecosystems and applications, each with their own unique structure and formatting.",{"type":20,"tag":21,"props":6376,"children":6377},{},[6378],{"type":25,"value":6379},"Data collaboration has the power to bring this data together and help you extract greater value from it. In this blog, we'll explore what data collaboration is, why it's important, and how you can start putting it into action.",{"type":20,"tag":1495,"props":6381,"children":6383},{"id":6382},"what-is-data-collaboration",[6384],{"type":25,"value":6385},"What is data collaboration?",{"type":20,"tag":21,"props":6387,"children":6388},{},[6389,6395],{"type":20,"tag":44,"props":6390,"children":6392},{"href":772,"rel":6391},[538],[6393],{"type":25,"value":6394},"Data collaboration",{"type":25,"value":6396}," is the sharing of data assets between parties with the aim of unlocking new insights, making better decisions, and driving growth and revenue.",{"type":20,"tag":21,"props":6398,"children":6399},{},[6400],{"type":25,"value":6401},"There are three main use cases for data collaboration:",{"type":20,"tag":2051,"props":6403,"children":6404},{},[6405,6420,6433],{"type":20,"tag":907,"props":6406,"children":6407},{},[6408,6418],{"type":20,"tag":44,"props":6409,"children":6412},{"href":6410,"rel":6411},"https://www.narrative.io/share",[538],[6413],{"type":20,"tag":33,"props":6414,"children":6415},{},[6416],{"type":25,"value":6417},"Sharing data between lines of business:",{"type":25,"value":6419}," Disseminating data between business units, departments, and teams within an organization to improve coordination and productivity.",{"type":20,"tag":907,"props":6421,"children":6422},{},[6423,6431],{"type":20,"tag":44,"props":6424,"children":6425},{"href":324},[6426],{"type":20,"tag":33,"props":6427,"children":6428},{},[6429],{"type":25,"value":6430},"Acquiring data from external sources:",{"type":25,"value":6432}," Accessing third-party data from data suppliers and business partners in order to uncover new insights about their customers, their company, and the markets they operate in.",{"type":20,"tag":907,"props":6434,"children":6435},{},[6436,6446],{"type":20,"tag":44,"props":6437,"children":6440},{"href":6438,"rel":6439},"https://www.narrative.io/sell",[538],[6441],{"type":20,"tag":33,"props":6442,"children":6443},{},[6444],{"type":25,"value":6445},"Monetizing first-party data assets:",{"type":25,"value":6447}," Generating revenue by licensing the use of first-party data for a fee.",{"type":20,"tag":1495,"props":6449,"children":6451},{"id":6450},"what-are-the-benefits-of-data-collaboration",[6452],{"type":25,"value":6453},"What are the benefits of data collaboration?",{"type":20,"tag":21,"props":6455,"children":6456},{},[6457],{"type":25,"value":6458},"Through the collaboration of data assets, whether it’s between departments of an organization or between whole organizations, both parties can facilitate better decision-making, improve efficiency, and maximize revenue.",{"type":20,"tag":223,"props":6460,"children":6462},{"id":6461},"better-insights-and-decision-making",[6463],{"type":25,"value":6464},"Better insights and decision-making",{"type":20,"tag":21,"props":6466,"children":6467},{},[6468],{"type":25,"value":6469},"Your organization’s growth and strategy is better when it’s fueled by quality, robust data from multiple sources. The use of diverse external data can illuminate blind spots that you didn’t know you had. You’ll improve insights and facilitate better decision-making.",{"type":20,"tag":21,"props":6471,"children":6472},{},[6473],{"type":25,"value":6474},"For instance, with enriched data, you’ll be able to understand your current customers on a deeper level, allowing you to improve products, services, and customer experiences. You’ll also be able to make better informed predictions about the market and your competitors, allowing you to stay ahead of trends. 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By ",{"type":20,"tag":44,"props":6503,"children":6504},{"href":620},[6505],{"type":25,"value":6506},"selling your own first-party data",{"type":25,"value":6508}," to organizations that are actively seeking it, your company can begin generating an entirely new source of revenue.",{"type":20,"tag":1495,"props":6510,"children":6512},{"id":6511},"barriers-to-effective-data-collaboration",[6513],{"type":25,"value":6514},"Barriers to effective data collaboration",{"type":20,"tag":21,"props":6516,"children":6517},{},[6518],{"type":25,"value":6519},"Data collaboration is the best way to supercharge your organization's growth and strategy, but there are some roadblocks that have kept organizations from taking the first steps.",{"type":20,"tag":223,"props":6521,"children":6523},{"id":6522},"complex-and-diverse-data-formats-and-systems",[6524],{"type":25,"value":6525},"Complex and diverse data formats and systems",{"type":20,"tag":21,"props":6527,"children":6528},{},[6529],{"type":25,"value":6530},"Valuable data is stored by many different entities in many different formats. However, it can be hard to find, access, and integrate external data so many organizations simply go without. This leads to incomplete or inaccurate insights, missed opportunities for competitive differentiation, and difficulty in making data-driven decisions.",{"type":20,"tag":223,"props":6532,"children":6534},{"id":6533},"time-intensive-manual-processes",[6535],{"type":25,"value":6536},"Time-intensive, manual processes",{"type":20,"tag":21,"props":6538,"children":6539},{},[6540],{"type":25,"value":6541},"Data collaboration can be a slow, costly process that consumes valuable time and expertise, diverting attention from other projects. Due to limited resources and a lack of technical expertise, many organizations can’t handle data collaboration at scale.",{"type":20,"tag":223,"props":6543,"children":6545},{"id":6544},"data-privacy-and-regulatory-requirements",[6546],{"type":25,"value":6547},"Data privacy and regulatory requirements",{"type":20,"tag":21,"props":6549,"children":6550},{},[6551],{"type":25,"value":6552},"Controlling ownership and accessibility when collaborating with data can be confusing and nerve-racking. Organizations face security risks and compliance issues, leading to potential legal and financial penalties. If organizations don’t understand certain regulations or make a mistake, they could end up paying for it.",{"type":20,"tag":1495,"props":6554,"children":6556},{"id":6555},"data-collaboration-platforms-make-collaborating-with-data-easy",[6557],{"type":25,"value":6558},"Data collaboration platforms make collaborating with data easy",{"type":20,"tag":21,"props":6560,"children":6561},{},[6562,6564,6569],{"type":25,"value":6563},"Luckily, data collaboration doesn’t have to be as complicated as it sounds. By leveraging a ",{"type":20,"tag":44,"props":6565,"children":6567},{"href":772,"rel":6566},[538],[6568],{"type":25,"value":776},{"type":25,"value":6570},", you can automate the most complicated and time-intensive parts of both data acquisition and data distribution in a safe and secure manner.",{"type":20,"tag":21,"props":6572,"children":6573},{},[6574],{"type":25,"value":6575},"Narrative enables seamless data collaboration and eliminates the complexities of accessing and distributing data. Narrative’s data collaboration platform is an all-in-one solution that streamlines and simplifies data acquisition, monetization, and sharing, with powerful automations and easy-to-use, no-code workflows. With Narrative, you can find, access, and combine data from any source, in any format, with just a few clicks.",{"type":20,"tag":21,"props":6577,"children":6578},{},[6579],{"type":20,"tag":33,"props":6580,"children":6581},{},[6582,6584],{"type":25,"value":6583},"See how Narrative can help you collaborate with data today. ",{"type":20,"tag":44,"props":6585,"children":6586},{"href":180},[6587],{"type":25,"value":6588},"Set up a meeting with our experts to get started.",{"title":8,"searchDepth":193,"depth":193,"links":6590},[6591,6592,6597,6602],{"id":6382,"depth":193,"text":6385},{"id":6450,"depth":193,"text":6453,"children":6593},[6594,6595,6596],{"id":6461,"depth":380,"text":6464},{"id":6477,"depth":380,"text":6480},{"id":6488,"depth":380,"text":6491},{"id":6511,"depth":193,"text":6514,"children":6598},[6599,6600,6601],{"id":6522,"depth":380,"text":6525},{"id":6533,"depth":380,"text":6536},{"id":6544,"depth":380,"text":6547},{"id":6555,"depth":193,"text":6558},"content:blog:data-collaboration-explained.md","blog/data-collaboration-explained.md","blog/data-collaboration-explained",{"loc":6362},{"_path":6608,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":6609,"description":6610,"publishDate":6611,"author":1927,"ogImage":6612,"image":6612,"tags":6613,"authorSlug":1932,"body":6615,"_type":195,"_id":6747,"_source":197,"_file":6748,"_stem":6749,"_extension":200,"sitemap":6750},"/blog/data-collaboration-in-a-post-cookie-world","Data collaboration is the coin of the realm in the post cookie world","Even with this weeks’s announcement that Google will once again delay it’s deadline for cookie deprecation, the time is now to find new, privacy-compliant ways to handle identity resolution and data management.","2024-04-25 09:31:10","/img/blog/2024/04/post-cookie.png",[1262,3097,6614],"data strategy",{"type":17,"children":6616,"toc":6741},[6617,6622,6631,6636,6641,6650,6655,6698,6703,6712,6717,6726,6731,6736],{"type":20,"tag":21,"props":6618,"children":6619},{},[6620],{"type":25,"value":6621},"Even with this weeks’s announcement  that Google will once again delay it’s deadline for cookie deprecation, the time is now to find new, privacy-compliant ways to handle identity resolution and data management. Data collaboration platforms offer a sophisticated solution to these challenges, enabling a seamless transition into the post-cookie era.",{"type":20,"tag":223,"props":6623,"children":6625},{"id":6624},"the-rising-need-for-data-collaboration-platforms-and-clean-room-technologies",[6626],{"type":20,"tag":33,"props":6627,"children":6628},{},[6629],{"type":25,"value":6630},"The Rising Need for Data Collaboration Platforms, and Clean Room Technologies",{"type":20,"tag":21,"props":6632,"children":6633},{},[6634],{"type":25,"value":6635},"As cookies become a thing of the past, businesses must rethink their strategies for collecting and leveraging consumer data. Data collaboration platforms stand at the forefront of this revolution, providing the tools necessary to aggregate, filter, and analyze data from multiple sources securely and efficiently. These platforms support a new model of data privacy and user control, aligning with emerging global data protection regulations.",{"type":20,"tag":21,"props":6637,"children":6638},{},[6639],{"type":25,"value":6640},"By facilitating the sharing and processing of data in a controlled environment, data collaboration platforms allow businesses to maintain robust data insights without relying on traditional tracking mechanisms. This capability is crucial for developing a deeper understanding of consumer behavior and preferences in a manner that respects user privacy.",{"type":20,"tag":223,"props":6642,"children":6644},{"id":6643},"key-features-of-effective-data-collaboration-platforms",[6645],{"type":20,"tag":33,"props":6646,"children":6647},{},[6648],{"type":25,"value":6649},"Key Features of Effective Data Collaboration Platforms",{"type":20,"tag":21,"props":6651,"children":6652},{},[6653],{"type":25,"value":6654},"A robust data collaboration platform offers various features that adapt to the evolving digital environment:",{"type":20,"tag":2051,"props":6656,"children":6657},{},[6658,6668,6678,6688],{"type":20,"tag":907,"props":6659,"children":6660},{},[6661,6666],{"type":20,"tag":33,"props":6662,"children":6663},{},[6664],{"type":25,"value":6665},"Data Aggregation and Filtration",{"type":25,"value":6667},": Combining data from diverse sources while filtering out irrelevant information to focus on what’s truly valuable.",{"type":20,"tag":907,"props":6669,"children":6670},{},[6671,6676],{"type":20,"tag":33,"props":6672,"children":6673},{},[6674],{"type":25,"value":6675},"Customized Data Products",{"type":25,"value":6677},": Enabling businesses to build tailored data solutions that meet specific needs without compromising on scalability or security.",{"type":20,"tag":907,"props":6679,"children":6680},{},[6681,6686],{"type":20,"tag":33,"props":6682,"children":6683},{},[6684],{"type":25,"value":6685},"Advanced Data Governance",{"type":25,"value":6687},": Providing granular controls over who can access data and under what conditions, ensuring compliance with strict privacy standards.",{"type":20,"tag":907,"props":6689,"children":6690},{},[6691,6696],{"type":20,"tag":33,"props":6692,"children":6693},{},[6694],{"type":25,"value":6695},"Automation of Transactions",{"type":25,"value":6697},": Streamlining complex data transactions to enhance efficiency and reduce manual overhead.",{"type":20,"tag":21,"props":6699,"children":6700},{},[6701],{"type":25,"value":6702},"These features ensure that organizations can continue to harness the power of data analytics while paving the way for innovative and ethical data usage practices.",{"type":20,"tag":223,"props":6704,"children":6706},{"id":6705},"solving-for-more-than-cookies",[6707],{"type":20,"tag":33,"props":6708,"children":6709},{},[6710],{"type":25,"value":6711},"Solving for more than cookies",{"type":20,"tag":21,"props":6713,"children":6714},{},[6715],{"type":25,"value":6716},"Data collaboration platforms not only offer a solution to the cookie problem but also enhance how businesses handle data collaboration and procurement. They provide a framework for securely managing data transactions, from sourcing to distribution, ensuring that each step meets the latest compliance and privacy standards. This transition is vital for businesses looking to maintain competitiveness in a market that increasingly values privacy and data security.",{"type":20,"tag":223,"props":6718,"children":6720},{"id":6719},"why-narrative",[6721],{"type":20,"tag":33,"props":6722,"children":6723},{},[6724],{"type":25,"value":6725},"Why Narrative",{"type":20,"tag":21,"props":6727,"children":6728},{},[6729],{"type":25,"value":6730},"Narrative makes it remarkably easy to design and execute collaborative data strategies that respect user privacy while delivering exceptional value.",{"type":20,"tag":21,"props":6732,"children":6733},{},[6734],{"type":25,"value":6735},"Narrative's intuitive tools and powerful AI assistant, Rosetta, make it accessible even to non-technical users who want to manage end-to-end data strategies. The platform’s flexibility in handling any data type, combined with advanced features like a native SQL-like query language, positions Narrative as a leading choice for organizations seeking a tailored and efficient approach to data collaboration.",{"type":20,"tag":21,"props":6737,"children":6738},{},[6739],{"type":25,"value":6740},"As the digital world moves beyond cookies, data collaboration platforms like Narrative represent the future of data strategy. They offer a powerful, compliant, and efficient framework for businesses to adapt to changing data privacy landscapes and continue to derive deep insights from consumer interactions. Embrace the future with Narrative, where data meets innovation in the privacy-first era.",{"title":8,"searchDepth":193,"depth":193,"links":6742},[6743,6744,6745,6746],{"id":6624,"depth":380,"text":6630},{"id":6643,"depth":380,"text":6649},{"id":6705,"depth":380,"text":6711},{"id":6719,"depth":380,"text":6725},"content:blog:data-collaboration-in-a-post-cookie-world.md","blog/data-collaboration-in-a-post-cookie-world.md","blog/data-collaboration-in-a-post-cookie-world",{"loc":6608},{"_path":5259,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":6752,"description":6753,"publishDate":6754,"author":12,"ogImage":6755,"image":6755,"tags":6756,"body":6757,"_type":195,"_id":7276,"_source":197,"_file":7277,"_stem":7278,"_extension":200,"sitemap":7279},"What is a Data Collaboration Platform?","A data collaboration platform simplifies, automates, and centralizes the collaboration and sharing of data assets. Learn how you can use them to acquire, distribute, and share data in a faster and easier way.","2023-02-08 17:19:50","/img/blog/2023/02/Frame-1076-4-1.png",[15],{"type":17,"children":6758,"toc":7241},[6759,6764,6769,6780,6784,6795,6801,6806,6812,6817,6823,6828,6834,6839,6845,6856,6862,6867,6880,6886,6891,6897,6902,6908,6913,6919,6930,6936,6942,6947,6953,6958,6964,6969,6975,6987,6993,7005,7011,7016,7022,7035,7041,7046,7052,7057,7063,7068,7074,7079,7085,7090,7096,7101,7107,7112,7118,7123,7159,7165,7184,7190,7196,7208,7214,7219,7225,7230],{"type":20,"tag":21,"props":6760,"children":6761},{},[6762],{"type":25,"value":6763},"In today's fast-paced and data-driven world, organizations face an overwhelming amount of data, with information coming from a variety of sources and in many different formats. As a result, businesses are struggling to effectively access, integrate, and leverage this data to drive innovation and decision-making.",{"type":20,"tag":21,"props":6765,"children":6766},{},[6767],{"type":25,"value":6768},"This fragmentation leads to a number of problems, including siloed data, inconsistent data quality, and difficulty in sharing data across teams and business partners. Furthermore, manual data management processes are time-consuming and error-prone, leading to missed opportunities and increased risk.",{"type":20,"tag":21,"props":6770,"children":6771},{},[6772,6774,6778],{"type":25,"value":6773},"In a world where data is the lifeblood of many organizations, the inability to effectively collaborate with data can have serious consequences. The current state of ",{"type":20,"tag":44,"props":6775,"children":6776},{"href":6362},[6777],{"type":25,"value":1262},{"type":25,"value":6779}," is in need of a solution that can bring order to the chaos, provide a centralized place for data management, and improve the ability of organizations and individuals to effectively use data to drive their decisions and achieve their goals. That's where a data collaboration platform comes in.",{"type":20,"tag":1495,"props":6781,"children":6782},{"id":409},[6783],{"type":25,"value":415},{"type":20,"tag":21,"props":6785,"children":6786},{},[6787,6788,6793],{"type":25,"value":769},{"type":20,"tag":44,"props":6789,"children":6791},{"href":772,"rel":6790},[538],[6792],{"type":25,"value":776},{"type":25,"value":6794}," is software that simplifies, automates, and centralizes the collaboration and sharing of data assets. By centralizing data assets and providing automated self-service tools, these platforms make acquiring, distributing, and sharing data faster, easier, and more scalable than ever.",{"type":20,"tag":1495,"props":6796,"children":6798},{"id":6797},"understanding-what-a-data-collaboration-platform-does",[6799],{"type":25,"value":6800},"Understanding what a data collaboration platform does",{"type":20,"tag":21,"props":6802,"children":6803},{},[6804],{"type":25,"value":6805},"So what exactly does a data collaboration platform do? It performs a few different functions that aid organizations in the acquisition and distribution of data:",{"type":20,"tag":223,"props":6807,"children":6809},{"id":6808},"standardizes-data",[6810],{"type":25,"value":6811},"Standardizes data",{"type":20,"tag":21,"props":6813,"children":6814},{},[6815],{"type":25,"value":6816},"A data collaboration platform makes data consistent and uniform, regardless of the source. Any data being shared by a distributor in its native format will be automatically formatted so that the acquirer can easily understand and use the data delivered to them.",{"type":20,"tag":223,"props":6818,"children":6820},{"id":6819},"queries-data",[6821],{"type":25,"value":6822},"Queries data",{"type":20,"tag":21,"props":6824,"children":6825},{},[6826],{"type":25,"value":6827},"With consistent data formatting, you can easily filter, combine, and package data from multiple sources. Organizations can find and acquire the precise datasets they need and leave out the datasets they don’t.",{"type":20,"tag":223,"props":6829,"children":6831},{"id":6830},"delivers-data",[6832],{"type":25,"value":6833},"Delivers data",{"type":20,"tag":21,"props":6835,"children":6836},{},[6837],{"type":25,"value":6838},"Data is automatically delivered to partners and clients at their preferred endpoint within hours.",{"type":20,"tag":1495,"props":6840,"children":6842},{"id":6841},"benefits-of-a-data-collaboration-platform",[6843],{"type":25,"value":6844},"Benefits of a data collaboration platform",{"type":20,"tag":21,"props":6846,"children":6847},{},[6848,6849,6854],{"type":25,"value":769},{"type":20,"tag":44,"props":6850,"children":6852},{"href":772,"rel":6851},[538],[6853],{"type":25,"value":776},{"type":25,"value":6855}," allows organizations to seamlessly collaborate on data projects both internally and externally. With the increasing importance of data in today's business landscape, data collaboration platforms are a critical tool for organizations looking to optimize the value of their data assets and remain competitive in the data-driven economy.",{"type":20,"tag":223,"props":6857,"children":6859},{"id":6858},"extract-more-value-from-data",[6860],{"type":25,"value":6861},"Extract more value from data",{"type":20,"tag":21,"props":6863,"children":6864},{},[6865],{"type":25,"value":6866},"Data collaboration platforms help organizations generate new and better insights by allowing teams to easily and seamlessly share and combine data from multiple sources. This enables teams to explore a multitude of connections and correlations between data sets, leading to exciting new discoveries and solutions.",{"type":20,"tag":21,"props":6868,"children":6869},{},[6870,6872,6878],{"type":25,"value":6871},"By integrating external data sources, organizations can enhance the value of first-party data and make it more useful for decision making, product development, and other business initiatives. By ",{"type":20,"tag":44,"props":6873,"children":6875},{"href":6874},"/blog/what-is-data-sharing",[6876],{"type":25,"value":6877},"sharing data internally through a centralized location",{"type":25,"value":6879},", organizations ensure that all relevant data is taken into account when making decisions or working on projects, increasing efficiency and allowing teams to build on the work of others. These platforms also help organizations unlock the monetary value of their first-party data by making it easier to package and deliver data to partners and customers in a fast and secure manner.",{"type":20,"tag":223,"props":6881,"children":6883},{"id":6882},"optimize-costs-and-streamline-operations",[6884],{"type":25,"value":6885},"Optimize costs and streamline operations",{"type":20,"tag":21,"props":6887,"children":6888},{},[6889],{"type":25,"value":6890},"Data collaboration platforms automate the most complicated and time-consuming parts of data collaboration, significantly reducing the time and resources spent on data engineering and allowing laborers to focus on other critical tasks. This results in faster generation of insights, increased productivity, and more rapid revenue generation. Another one of the key benefits of data collaboration platforms is the ability to buy only what is needed, rather than the entire data \"firehose.\" This not only saves organizations money but also eliminates the need for them to sift through unusable data since they are only paying for the data that is relevant to their specific needs.",{"type":20,"tag":223,"props":6892,"children":6894},{"id":6893},"increase-agility",[6895],{"type":25,"value":6896},"Increase agility",{"type":20,"tag":21,"props":6898,"children":6899},{},[6900],{"type":25,"value":6901},"In today's fast-paced business environment, organizations need to be able to quickly adapt to changes in order to remain competitive. Data collaboration platforms allow organizations to respond to changes in strategy or market conditions more quickly by providing almost instant access to the data they need. With on-demand data access, organizations no longer have to wait weeks or months for data to be converted and delivered to them, allowing for real-time decision-making and increased agility. Teams can easily access and analyze the data they need to inform their decision-making and adjust their strategies accordingly.",{"type":20,"tag":223,"props":6903,"children":6905},{"id":6904},"reduce-risk",[6906],{"type":25,"value":6907},"Reduce risk",{"type":20,"tag":21,"props":6909,"children":6910},{},[6911],{"type":25,"value":6912},"Data collaboration platforms provide organizations with a centralized data management and governance system, which helps to minimize security risks and meet compliance requirements. Centralizing data management allows organizations to ensure that data is properly protected and that access to sensitive information is controlled. This helps to minimize the risk of data breaches and other security incidents, and it ensures that the organization is meeting regulatory requirements for data privacy and protection. By implementing a centralized system, organizations can also ensure that data is consistent, accurate, and up-to-date. This leads to better data quality, improved data literacy, and reduces the risk of errors and inconsistencies.",{"type":20,"tag":1495,"props":6914,"children":6916},{"id":6915},"should-you-build-or-buy-a-data-collaboration-capability",[6917],{"type":25,"value":6918},"Should you build or buy a data collaboration capability?",{"type":20,"tag":21,"props":6920,"children":6921},{},[6922,6924,6929],{"type":25,"value":6923},"Some organizations are well equipped to run their data collaboration efforts in-house. For most companies, though, it can be more time-consuming, more expensive, and ultimately a lot less adaptable than using a ",{"type":20,"tag":44,"props":6925,"children":6927},{"href":772,"rel":6926},[538],[6928],{"type":25,"value":776},{"type":25,"value":191},{"type":20,"tag":223,"props":6931,"children":6933},{"id":6932},"questions-to-ask-when-considering-build-vs-buy",[6934],{"type":25,"value":6935},"Questions to ask when considering build vs. buy",{"type":20,"tag":5193,"props":6937,"children":6939},{"id":6938},"what-available-resources-do-you-have",[6940],{"type":25,"value":6941},"What available resources do you have?",{"type":20,"tag":21,"props":6943,"children":6944},{},[6945],{"type":25,"value":6946},"For organizations with limited resources, developing and maintaining a data collaboration system can be a time-consuming, laborsome, and expensive process. On the other hand, using a data collaboration platform allows organizations to take advantage of automated processes, reducing the strain on their own resources.",{"type":20,"tag":5193,"props":6948,"children":6950},{"id":6949},"what-will-the-labor-costs-of-developing-and-maintaining-a-data-collaboration-system-be",[6951],{"type":25,"value":6952},"What will the labor costs of developing and maintaining a data collaboration system be?",{"type":20,"tag":21,"props":6954,"children":6955},{},[6956],{"type":25,"value":6957},"Developing and maintaining your own data collaboration solutions can require engineering teams, legal teams, and outsourced middlemen. The cost of labor for all of these hired teams can add up quickly. A data collaboration platform requires only payment for the platform and the price of the data you handpick to ingest.",{"type":20,"tag":5193,"props":6959,"children":6961},{"id":6960},"what-is-the-likelihood-your-data-collaboration-strategy-will-change-in-the-future",[6962],{"type":25,"value":6963},"What is the likelihood your data collaboration strategy will change in the future?",{"type":20,"tag":21,"props":6965,"children":6966},{},[6967],{"type":25,"value":6968},"It can take months to find new data sources, test data quality, agree on terms, build pipelines between systems, and normalize and integrate data into your own systems. If you need to switch data providers, work with new data types, or send your data to a different endpoint, you’ll need to repeat a lot of this time- and labor-intensive work all over again. A data collaboration platform gives you scalability and optionality, so you can easily adapt your data collaboration strategy as your business strategy changes.",{"type":20,"tag":1495,"props":6970,"children":6972},{"id":6971},"how-do-you-find-the-right-data-collaboration-platform",[6973],{"type":25,"value":6974},"How do you find the right data collaboration platform?",{"type":20,"tag":21,"props":6976,"children":6977},{},[6978,6980,6985],{"type":25,"value":6979},"Once you’ve decided to invest in a ",{"type":20,"tag":44,"props":6981,"children":6983},{"href":772,"rel":6982},[538],[6984],{"type":25,"value":776},{"type":25,"value":6986},", your next step is to find the right one for your business requirements. When making your decision, consider the following capabilities.",{"type":20,"tag":223,"props":6988,"children":6990},{"id":6989},"interoperability",[6991],{"type":25,"value":6992},"Interoperability  ",{"type":20,"tag":21,"props":6994,"children":6995},{},[6996,6998,7003],{"type":25,"value":6997},"Your data collaboration platform should allow easy interoperability, or the ability to collaborate with multiple systems, platforms, and data formats. You’ll want a data collaboration platform that is able to ",{"type":20,"tag":44,"props":6999,"children":7000},{"href":3646},[7001],{"type":25,"value":7002},"automate the standardization of data assets to make transfers seamless",{"type":25,"value":7004},", allowing the ingestion of data in any format and from any source.",{"type":20,"tag":223,"props":7006,"children":7008},{"id":7007},"useability",[7009],{"type":25,"value":7010},"Useability",{"type":20,"tag":21,"props":7012,"children":7013},{},[7014],{"type":25,"value":7015},"Your data collaboration platform should provide an intuitive and easy-to-use interface that is accessible to non-technical users. It should be easy to point and click your way through the process of data sharing instead of requiring data engineering experts.",{"type":20,"tag":223,"props":7017,"children":7019},{"id":7018},"integrations",[7020],{"type":25,"value":7021},"Integrations",{"type":20,"tag":21,"props":7023,"children":7024},{},[7025,7027,7033],{"type":25,"value":7026},"Your data collaboration platform should have the ability to easily integrate with other systems and platforms to exchange data. For instance, Narrative’s data collaboration platform has connectors built to Amazon S3, ",{"type":20,"tag":44,"props":7028,"children":7030},{"href":7029},"/products/connectors/tradedesk-connector",[7031],{"type":25,"value":7032},"The Trade Desk",{"type":25,"value":7034},", and Facebook, and provides a framework that makes it easy for Connectors to other endpoints to be built.",{"type":20,"tag":223,"props":7036,"children":7038},{"id":7037},"liquidity",[7039],{"type":25,"value":7040},"Liquidity",{"type":20,"tag":21,"props":7042,"children":7043},{},[7044],{"type":25,"value":7045},"Your data collaboration platform should provide the assurance of having a pool of buyers and sellers for transactions. There should be a network of both buyers and sellers that are actively participating within the ecosystem.",{"type":20,"tag":223,"props":7047,"children":7049},{"id":7048},"customizability",[7050],{"type":25,"value":7051},"Customizability",{"type":20,"tag":21,"props":7053,"children":7054},{},[7055],{"type":25,"value":7056},"Your data collaboration platform should allow you to tailor your data to specific needs and processes. It should be easy to create new custom datasets to distribute to your buyers or curate your own data acquisition order to meet your organization’s unique needs.",{"type":20,"tag":223,"props":7058,"children":7060},{"id":7059},"scalability",[7061],{"type":25,"value":7062},"Scalability",{"type":20,"tag":21,"props":7064,"children":7065},{},[7066],{"type":25,"value":7067},"Your data collaboration platform should be able to handle large amounts of data and accommodate growing demands. It should be straightforward and simple to upload, organize, distribute, and acquire data in large capacities.",{"type":20,"tag":223,"props":7069,"children":7071},{"id":7070},"vendor-consolidation",[7072],{"type":25,"value":7073},"Vendor consolidation",{"type":20,"tag":21,"props":7075,"children":7076},{},[7077],{"type":25,"value":7078},"Your data collaboration platform should provide a streamlined and centralized vendor management process. Instead of having to finalize contracts and sign paperwork with every supplier you work with, you should be able to exchange data within the platform under one overarching standard agreement, minimizing administrative burden and allowing for faster data collaboration.",{"type":20,"tag":223,"props":7080,"children":7082},{"id":7081},"cost-effectiveness",[7083],{"type":25,"value":7084},"Cost-effectiveness",{"type":20,"tag":21,"props":7086,"children":7087},{},[7088],{"type":25,"value":7089},"Your data collaboration platform should offer good value for its cost. With Narrative, you can operate in the cloud you’re already paying for. You’ll also have the ability to pay only for the data you acquire on a usage basis.",{"type":20,"tag":223,"props":7091,"children":7093},{"id":7092},"security-and-privacy",[7094],{"type":25,"value":7095},"Security and privacy",{"type":20,"tag":21,"props":7097,"children":7098},{},[7099],{"type":25,"value":7100},"Your data collaboration platform should provide absolute protection of sensitive data and give you the ability to control access and permissions to your data assets.",{"type":20,"tag":223,"props":7102,"children":7104},{"id":7103},"compliance-with-regulations",[7105],{"type":25,"value":7106},"Compliance with regulations",{"type":20,"tag":21,"props":7108,"children":7109},{},[7110],{"type":25,"value":7111},"Your data collaboration platform should fully comply with data privacy and protection regulations.",{"type":20,"tag":1495,"props":7113,"children":7115},{"id":7114},"how-other-companies-use-data-collaboration-platforms",[7116],{"type":25,"value":7117},"How other companies use data collaboration platforms",{"type":20,"tag":21,"props":7119,"children":7120},{},[7121],{"type":25,"value":7122},"It can be helpful to learn how other companies use their data collaboration platforms and the results they get from those tools. 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With ",{"type":20,"tag":44,"props":7177,"children":7179},{"href":7170,"rel":7178},[538],[7180],{"type":25,"value":7181},"Narrative's data collaboration platform",{"type":25,"value":7183},", the most inefficient parts of data collaboration are automated so that you spend less time completing tedious backend work and more time gleaning insights, creating solutions, and driving revenue for your organization. Anyone within your company (even an intern) can point-and-click their way through a self-service process that gives them full control of their data.",{"type":20,"tag":223,"props":7185,"children":7187},{"id":7186},"with-narratives-data-collaboration-platform-you-have-access-to",[7188],{"type":25,"value":7189},"With Narrative’s data collaboration platform, you have access to",{"type":20,"tag":5193,"props":7191,"children":7193},{"id":7192},"automated-data-standardization",[7194],{"type":25,"value":7195},"Automated data standardization",{"type":20,"tag":21,"props":7197,"children":7198},{},[7199,7201,7206],{"type":25,"value":7200},"Using ",{"type":20,"tag":44,"props":7202,"children":7204},{"href":7203},"/products/rosetta-stone",[7205],{"type":25,"value":3649},{"type":25,"value":7207},", data can be ingested in its native format from any source and be translated into a format that will be compatible with any system that acquires it.",{"type":20,"tag":5193,"props":7209,"children":7211},{"id":7210},"custom-filters-and-controls",[7212],{"type":25,"value":7213},"Custom filters and controls",{"type":20,"tag":21,"props":7215,"children":7216},{},[7217],{"type":25,"value":7218},"Slice and dice your first-party data into custom data products for your partners and clients or browse and select the exact data you want to ingest from multiple providers.",{"type":20,"tag":5193,"props":7220,"children":7222},{"id":7221},"fast-and-direct-data-delivery",[7223],{"type":25,"value":7224},"Fast and direct data delivery",{"type":20,"tag":21,"props":7226,"children":7227},{},[7228],{"type":25,"value":7229},"Once data is selected for acquisition, it is automatically delivered to the acquirer at their preferred endpoint within hours.",{"type":20,"tag":1495,"props":7231,"children":7233},{"id":7232},"its-time-to-level-up-your-data-collaboration-speak-with-our-experts-to-get-started",[7234,7236],{"type":25,"value":7235},"It’s time to level up your data collaboration. ",{"type":20,"tag":44,"props":7237,"children":7238},{"href":180},[7239],{"type":25,"value":7240},"Speak with our experts to get started",{"title":8,"searchDepth":193,"depth":193,"links":7242},[7243,7244,7249,7255,7258,7270,7271,7274],{"id":409,"depth":193,"text":415},{"id":6797,"depth":193,"text":6800,"children":7245},[7246,7247,7248],{"id":6808,"depth":380,"text":6811},{"id":6819,"depth":380,"text":6822},{"id":6830,"depth":380,"text":6833},{"id":6841,"depth":193,"text":6844,"children":7250},[7251,7252,7253,7254],{"id":6858,"depth":380,"text":6861},{"id":6882,"depth":380,"text":6885},{"id":6893,"depth":380,"text":6896},{"id":6904,"depth":380,"text":6907},{"id":6915,"depth":193,"text":6918,"children":7256},[7257],{"id":6932,"depth":380,"text":6935},{"id":6971,"depth":193,"text":6974,"children":7259},[7260,7261,7262,7263,7264,7265,7266,7267,7268,7269],{"id":6989,"depth":380,"text":6992},{"id":7007,"depth":380,"text":7010},{"id":7018,"depth":380,"text":7021},{"id":7037,"depth":380,"text":7040},{"id":7048,"depth":380,"text":7051},{"id":7059,"depth":380,"text":7062},{"id":7070,"depth":380,"text":7073},{"id":7081,"depth":380,"text":7084},{"id":7092,"depth":380,"text":7095},{"id":7103,"depth":380,"text":7106},{"id":7114,"depth":193,"text":7117},{"id":7161,"depth":193,"text":7164,"children":7272},[7273],{"id":7186,"depth":380,"text":7189},{"id":7232,"depth":193,"text":7275},"It’s time to level up your data collaboration. Speak with our experts to get started","content:blog:data-collaboration-platform.md","blog/data-collaboration-platform.md","blog/data-collaboration-platform",{"loc":5259},{"_path":7281,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":7282,"description":7283,"publishDate":7284,"author":1436,"ogImage":7285,"image":7285,"tags":7286,"authorSlug":1437,"body":7288,"_type":195,"_id":7551,"_source":197,"_file":7552,"_stem":7553,"_extension":200,"sitemap":7554},"/blog/data-collaboration-policies-vs-clean-rooms","How Data Collaboration Policies Unlock Clean Room-Style Utility Without the Cost","Clean rooms offer secure collaboration—but they’re often expensive, rigid, and slow. This post explores how Narrative’s data collaboration policies provide the same governance benefits with greater speed, flexibility, and ease. Learn how composable identity and policy-driven data sharing can unlock cleaner, faster collaboration at scale.","2025-06-17T12:13:30.000Z","/img/blog/2025/06/data-collaboration-policies-blog.png",[1262,1263,1264,5680,7287],"clean room",{"type":17,"children":7289,"toc":7549},[7290,7295,7303,7308,7313,7318,7323,7331,7336,7341,7364,7369,7377,7382,7387,7392,7415,7420,7428,7433,7438,7443,7448,7471,7476,7484,7489,7494,7517,7525,7530,7535],{"type":20,"tag":21,"props":7291,"children":7292},{},[7293],{"type":25,"value":7294},"Clean rooms are expensive and rigid. Data collaboration policies offer the same privacy and governance benefits—without the complexity.",{"type":20,"tag":21,"props":7296,"children":7297},{},[7298],{"type":20,"tag":33,"props":7299,"children":7300},{},[7301],{"type":25,"value":7302},"The Promise (and Problem) of Clean Rooms",{"type":20,"tag":21,"props":7304,"children":7305},{},[7306],{"type":25,"value":7307},"Over the last few years, data clean rooms have become one of the most talked-about solutions in advertising and marketing technology. They promised a secure environment for companies to share and analyze data without exposing raw, sensitive information.",{"type":20,"tag":21,"props":7309,"children":7310},{},[7311],{"type":25,"value":7312},"But while clean rooms solved one problem, they created others.",{"type":20,"tag":21,"props":7314,"children":7315},{},[7316],{"type":25,"value":7317},"Standing up a clean room requires significant investment—time, technical resources, and money. Worse, the resulting setup is often rigid and slow-moving. Use cases are hard-coded. Integrations take months. And agility? Practically nonexistent.",{"type":20,"tag":21,"props":7319,"children":7320},{},[7321],{"type":25,"value":7322},"For companies that need to collaborate across multiple partners, environments, and timelines, clean rooms are overkill.",{"type":20,"tag":21,"props":7324,"children":7325},{},[7326],{"type":20,"tag":33,"props":7327,"children":7328},{},[7329],{"type":25,"value":7330},"What Companies Really Need",{"type":20,"tag":21,"props":7332,"children":7333},{},[7334],{"type":25,"value":7335},"Companies don’t want another monolithic system. They want to collaborate—with purpose and control.",{"type":20,"tag":21,"props":7337,"children":7338},{},[7339],{"type":25,"value":7340},"That means being able to:",{"type":20,"tag":903,"props":7342,"children":7343},{},[7344,7349,7354,7359],{"type":20,"tag":907,"props":7345,"children":7346},{},[7347],{"type":25,"value":7348},"Share identity-resolved datasets without revealing PII",{"type":20,"tag":907,"props":7350,"children":7351},{},[7352],{"type":25,"value":7353},"Define exactly how data can be used (and how it can’t)",{"type":20,"tag":907,"props":7355,"children":7356},{},[7357],{"type":25,"value":7358},"Set guardrails based on partner, purpose, and time",{"type":20,"tag":907,"props":7360,"children":7361},{},[7362],{"type":25,"value":7363},"Collaborate with multiple partners without duplicating effort or infrastructure",{"type":20,"tag":21,"props":7365,"children":7366},{},[7367],{"type":25,"value":7368},"In other words, they want clean room-style governance, without the clean room itself.",{"type":20,"tag":21,"props":7370,"children":7371},{},[7372],{"type":20,"tag":33,"props":7373,"children":7374},{},[7375],{"type":25,"value":7376},"Composable Identity + Collaboration Policies = A Better Path",{"type":20,"tag":21,"props":7378,"children":7379},{},[7380],{"type":25,"value":7381},"Narrative offers a fundamentally different approach.",{"type":20,"tag":21,"props":7383,"children":7384},{},[7385],{"type":25,"value":7386},"By combining Composable Identity with data collaboration policies, brands and publishers can work together in real time—with governance built in.",{"type":20,"tag":21,"props":7388,"children":7389},{},[7390],{"type":25,"value":7391},"Collaboration policies function like smart contracts for data. They define, enforce, and track:",{"type":20,"tag":903,"props":7393,"children":7394},{},[7395,7400,7405,7410],{"type":20,"tag":907,"props":7396,"children":7397},{},[7398],{"type":25,"value":7399},"Who can access a dataset",{"type":20,"tag":907,"props":7401,"children":7402},{},[7403],{"type":25,"value":7404},"What they can do with it (e.g., activate, analyze, enrich)",{"type":20,"tag":907,"props":7406,"children":7407},{},[7408],{"type":25,"value":7409},"For how long",{"type":20,"tag":907,"props":7411,"children":7412},{},[7413],{"type":25,"value":7414},"Under what conditions",{"type":20,"tag":21,"props":7416,"children":7417},{},[7418],{"type":25,"value":7419},"And because they’re composable, these policies can be configured and reused across use cases, without starting from scratch every time.",{"type":20,"tag":21,"props":7421,"children":7422},{},[7423],{"type":20,"tag":33,"props":7424,"children":7425},{},[7426],{"type":25,"value":7427},"What This Looks Like in Practice",{"type":20,"tag":21,"props":7429,"children":7430},{},[7431],{"type":25,"value":7432},"Imagine a major retailer with a fast-growing retail media network.",{"type":20,"tag":21,"props":7434,"children":7435},{},[7436],{"type":25,"value":7437},"They want to let CPG partners reach identity-resolved audiences on their owned channels. But they don’t want that data used for enrichment—or exported into a partner’s own systems.",{"type":20,"tag":21,"props":7439,"children":7440},{},[7441],{"type":25,"value":7442},"With a clean room, this would mean complex integration work, setting up shared infrastructure, and creating custom rules for every partner.",{"type":20,"tag":21,"props":7444,"children":7445},{},[7446],{"type":25,"value":7447},"With Narrative, the retailer simply attaches a collaboration policy to the dataset. It says:",{"type":20,"tag":903,"props":7449,"children":7450},{},[7451,7456,7461,7466],{"type":20,"tag":907,"props":7452,"children":7453},{},[7454],{"type":25,"value":7455},"This partner can activate audiences via specific DSPs",{"type":20,"tag":907,"props":7457,"children":7458},{},[7459],{"type":25,"value":7460},"They cannot access or download the data",{"type":20,"tag":907,"props":7462,"children":7463},{},[7464],{"type":25,"value":7465},"The policy expires in 90 days",{"type":20,"tag":907,"props":7467,"children":7468},{},[7469],{"type":25,"value":7470},"All usage is logged and auditable",{"type":20,"tag":21,"props":7472,"children":7473},{},[7474],{"type":25,"value":7475},"No clean room. No delays. No headaches.",{"type":20,"tag":21,"props":7477,"children":7478},{},[7479],{"type":20,"tag":33,"props":7480,"children":7481},{},[7482],{"type":25,"value":7483},"Why This Matters Now",{"type":20,"tag":21,"props":7485,"children":7486},{},[7487],{"type":25,"value":7488},"As privacy regulation tightens and identity becomes more fragmented, data governance can’t be an afterthought. But it also can’t be a blocker.",{"type":20,"tag":21,"props":7490,"children":7491},{},[7492],{"type":25,"value":7493},"Clean rooms often require trade-offs between control and speed. With collaboration policies, you get both.",{"type":20,"tag":903,"props":7495,"children":7496},{},[7497,7502,7507,7512],{"type":20,"tag":907,"props":7498,"children":7499},{},[7500],{"type":25,"value":7501},"Faster time-to-value",{"type":20,"tag":907,"props":7503,"children":7504},{},[7505],{"type":25,"value":7506},"Fine-grained governance",{"type":20,"tag":907,"props":7508,"children":7509},{},[7510],{"type":25,"value":7511},"Lower cost and complexity",{"type":20,"tag":907,"props":7513,"children":7514},{},[7515],{"type":25,"value":7516},"Seamless integration with your current stack",{"type":20,"tag":21,"props":7518,"children":7519},{},[7520],{"type":20,"tag":33,"props":7521,"children":7522},{},[7523],{"type":25,"value":7524},"The Bottom Line",{"type":20,"tag":21,"props":7526,"children":7527},{},[7528],{"type":25,"value":7529},"You don’t need to buy or build a clean room to collaborate securely.",{"type":20,"tag":21,"props":7531,"children":7532},{},[7533],{"type":25,"value":7534},"With Narrative, you can use Composable Identity and data collaboration policies to unlock the benefits of clean rooms—without the baggage.",{"type":20,"tag":21,"props":7536,"children":7537},{},[7538,7540],{"type":25,"value":7539},"Ready to see how it works? ",{"type":20,"tag":44,"props":7541,"children":7543},{"href":2150,"rel":7542},[538],[7544],{"type":20,"tag":33,"props":7545,"children":7546},{},[7547],{"type":25,"value":7548},"Book a demo today.",{"title":8,"searchDepth":193,"depth":193,"links":7550},[],"content:blog:data-collaboration-policies-vs-clean-rooms.md","blog/data-collaboration-policies-vs-clean-rooms.md","blog/data-collaboration-policies-vs-clean-rooms",{"loc":7281},{"_path":7556,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":7557,"description":7558,"publishDate":7559,"author":7560,"ogImage":7561,"image":7561,"tags":7562,"body":7563,"_type":195,"_id":7730,"_source":197,"_file":7731,"_stem":7732,"_extension":200,"sitemap":7733},"/blog/data-discovery-assistant","Uncover new attributes of interest with Data Discovery Assistant","Narrative’s Data Discovery Assistant helps data buyers uncover new features to enrich their data sets and unlock new insights.","2019-09-04 15:32:19","Zeke Sexauer","/img/blog/2019/09/assistant---for-social-%281%29.png",[4897],{"type":17,"children":7564,"toc":7724},[7565,7586,7592,7612,7617,7622,7636,7641,7649,7654,7659,7667,7673,7679,7684,7690,7695,7701,7713],{"type":20,"tag":7566,"props":7567,"children":7568},"blockquote",{},[7569],{"type":20,"tag":21,"props":7570,"children":7571},{},[7572,7577,7579,7585],{"type":20,"tag":33,"props":7573,"children":7574},{},[7575],{"type":25,"value":7576},"Please Note:",{"type":25,"value":7578}," Narrative's offerings are constantly evolving. While some of the products mentioned below are no longer available, the foundational ideas they introduced are timeless and continue to inform our innovations. This article is preserved as a reference. For the latest on how Narrative is transforming data collaboration, ",{"type":20,"tag":44,"props":7580,"children":7582},{"href":772,"rel":7581},[538],[7583],{"type":25,"value":7584},"click here to learn more",{"type":25,"value":191},{"type":20,"tag":223,"props":7587,"children":7589},{"id":7588},"narratives-data-discovery-assistant-helps-data-buyers-uncover-new-features-to-enrich-their-data-sets-and-unlock-new-insights",[7590],{"type":25,"value":7591},"Narrative’s Data Discovery Assistant helps data buyers uncover new features to enrich their data sets and unlock new insights",{"type":20,"tag":21,"props":7593,"children":7594},{},[7595,7597,7602,7604,7611],{"type":25,"value":7596},"There’s a wealth of data available in the ",{"type":20,"tag":44,"props":7598,"children":7600},{"href":781,"rel":7599},[538],[7601],{"type":25,"value":6064},{"type":25,"value":7603},", and the organizations that can successfully leverage that data to enrich their own data sets gain a valuable competitive advantage. However, being able to identify the attributes that boost a signal among those that just add noise has so far proven challenging. To address this, Narrative built ",{"type":20,"tag":44,"props":7605,"children":7608},{"href":7606,"rel":7607},"https://app.narrative.io/#/app/data-discovery-assistant",[538],[7609],{"type":25,"value":7610},"Data Discovery Assistant",{"type":25,"value":191},{"type":20,"tag":21,"props":7613,"children":7614},{},[7615],{"type":25,"value":7616},"Narrative’s Data Discovery Assistant allows users to find high-value attributes suitable for a variety of data needs in an intuitive and easy-to-understand interface—whether as a marketer seeking to improve personalization, an analyst conducting competitive analysis, or as a data scientist feeding predictive models.",{"type":20,"tag":223,"props":7618,"children":7619},{"id":5003},[7620],{"type":25,"value":7621},"How it works",{"type":20,"tag":21,"props":7623,"children":7624},{},[7625,7627,7634],{"type":25,"value":7626},"Data Discovery Assistant measures the relationship between data attributes using a method called ",{"type":20,"tag":44,"props":7628,"children":7631},{"href":7629,"rel":7630},"https://en.wikipedia.org/wiki/Pointwise_mutual_information",[538],[7632],{"type":25,"value":7633},"pointwise mutual information (PMI)",{"type":25,"value":7635}," in order to quantify the strength of association between features.",{"type":20,"tag":21,"props":7637,"children":7638},{},[7639],{"type":25,"value":7640},"Users simply upload a list of data they'd like to enrich to Data Discovery Assistant. We call this the “seed data.” The seed data is then run through a model that measures the relationship with the data in the Narrative Data Marketplace. Data attributes with a high PMI association are then presented to the user based on the strength of association and the number of occurrences.",{"type":20,"tag":21,"props":7642,"children":7643},{},[7644],{"type":20,"tag":1630,"props":7645,"children":7648},{"alt":7646,"src":7647},"screenshot of Discover Assistant report creation process","https://solutions.narrative.io/hubfs/screen%201.png",[],{"type":20,"tag":21,"props":7650,"children":7651},{},[7652],{"type":25,"value":7653},"Say you’re a mobile food ordering service and you’d like to create a more tailored experience for your customers by suggesting restaurants and dishes based on the user’s profile and order history. For users without sufficient history buying through the app, these tailored recommendations would be impossible.",{"type":20,"tag":21,"props":7655,"children":7656},{},[7657],{"type":25,"value":7658},"Using Data Discovery Assistant, though, you could upload a list of users who, say, have a proclivity for a particular cuisine, and receive observations that are correlated with those users as output. For example, you might find that people who have the ClassPass app on their phones are much more likely to get food delivery from restaurants serving sushi. You could then use that data to tailor the restaurant recommendations next time the user opens the app.",{"type":20,"tag":21,"props":7660,"children":7661},{},[7662],{"type":20,"tag":1630,"props":7663,"children":7666},{"alt":7664,"src":7665},"screenshot of Discover Assistant output report","https://solutions.narrative.io/hubfs/screen%202.png",[],{"type":20,"tag":223,"props":7668,"children":7670},{"id":7669},"benefits",[7671],{"type":25,"value":7672},"Benefits",{"type":20,"tag":5193,"props":7674,"children":7676},{"id":7675},"quickly-find-valuable-predictive-data",[7677],{"type":25,"value":7678},"Quickly find valuable predictive data",{"type":20,"tag":21,"props":7680,"children":7681},{},[7682],{"type":25,"value":7683},"Uncovering new sources of predictive data is usually a process of trial and error. You have to come up with a hypothesis about a certain attribute that may correlate, locate and purchase a data set that contains that attribute, and then test to see if associations actually exist. If the association is weak, it’s back to the drawing board, again and again. With Data Discovery Assistant, you can skip that process entirely by seeing associations from all existing attributes at once, saving you time and money.",{"type":20,"tag":5193,"props":7685,"children":7687},{"id":7686},"better-understand-your-data",[7688],{"type":25,"value":7689},"Better understand your data",{"type":20,"tag":21,"props":7691,"children":7692},{},[7693],{"type":25,"value":7694},"You don’t know what you don’t know. By revealing new, and perhaps unconventional, associations with your data sets, Data Discovery Assistant helps you and your team learn something new about your data.",{"type":20,"tag":223,"props":7696,"children":7698},{"id":7697},"try-it",[7699],{"type":25,"value":7700},"Try it",{"type":20,"tag":21,"props":7702,"children":7703},{},[7704,7706],{"type":25,"value":7705},"Data Discovery Assistant is available to all Narrative Acquire Standard and Enterprise customers. ",{"type":20,"tag":44,"props":7707,"children":7710},{"href":7708,"rel":7709},"https://data.narrative.io/#/discover/assistant",[538],[7711],{"type":25,"value":7712},"Try it out today!",{"type":20,"tag":21,"props":7714,"children":7715},{},[7716,7718,7723],{"type":25,"value":7717},"If you’d like to learn more about how Narrative’s automated data discovery and acquisition tools can help you take control of your data strategy, reach out to your partner success manager or ",{"type":20,"tag":44,"props":7719,"children":7720},{"href":180},[7721],{"type":25,"value":7722},"get in touch here",{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":7725},[7726,7727,7728,7729],{"id":7588,"depth":380,"text":7591},{"id":5003,"depth":380,"text":7621},{"id":7669,"depth":380,"text":7672},{"id":7697,"depth":380,"text":7700},"content:blog:data-discovery-assistant.md","blog/data-discovery-assistant.md","blog/data-discovery-assistant",{"loc":7556},{"_path":251,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":7735,"description":7736,"publishDate":7737,"author":7738,"ogImage":7739,"image":7739,"tags":7740,"body":7741,"_type":195,"_id":7900,"_source":197,"_file":7901,"_stem":7902,"_extension":200,"sitemap":7903},"3 Elements of a Successful Data-Driven Marketing Strategy","These 3 elements help ensure that your data-driven marketing efforts are precise and impactful enough to generate returns.","2021-05-17 19:55:56","Sara Wilson","/img/blog/2021/05/3-elements-of-data-driven-marketing.png",[],{"type":17,"children":7742,"toc":7895},[7743,7748,7753,7767,7772,7778,7783,7797,7803,7815,7820,7833,7839,7844,7858,7872,7885],{"type":20,"tag":21,"props":7744,"children":7745},{},[7746],{"type":25,"value":7747},"Now that brands and businesses across the world have migrated to the digital space, marketing has become data-centric. In some ways, marketing was always hinged on data. It’s just that today, there’s more access to a wider range of data online.",{"type":20,"tag":21,"props":7749,"children":7750},{},[7751],{"type":25,"value":7752},"In fact, data has completely transformed marketing. In this day and age where there’s rapid transformation, brands have to be agile and respond accordingly.",{"type":20,"tag":21,"props":7754,"children":7755},{},[7756,7758,7765],{"type":25,"value":7757},"A study by Google and Greenberg reveals that 61% of people expect brands to ",{"type":20,"tag":44,"props":7759,"children":7762},{"href":7760,"rel":7761},"https://brandequity.economictimes.indiatimes.com/news/marketing/why-is-hyper-personalization-imperative-for-brands-to-drive-successful-user-engagement/81837742",[538],[7763],{"type":25,"value":7764},"create tailor-made experiences",{"type":25,"value":7766}," beyond generic first-name personalization. In the past, marketing campaigns were launched without assurance that those initiatives would catch on. Nowadays, however, you need metrics to prove the value in your strategies. You need data to ensure that your marketing efforts are precise and impactful enough to generate brand interest and engagement.",{"type":20,"tag":21,"props":7768,"children":7769},{},[7770],{"type":25,"value":7771},"Here are some effective ways to use data to improve your marketing:",{"type":20,"tag":1495,"props":7773,"children":7775},{"id":7774},"contextualize-data",[7776],{"type":25,"value":7777},"Contextualize data",{"type":20,"tag":21,"props":7779,"children":7780},{},[7781],{"type":25,"value":7782},"More data doesn’t necessarily equate to more knowledge. With technology improving data analytics, companies are also improving their abilities to translate big data into actionable insights. You must be able to sift through a large amount of data to draw insights relevant to your market. Contextualized customer data helps you understand how consumers are engaging with your marketing campaigns, notifying you of touchpoints that need adjustments.",{"type":20,"tag":21,"props":7784,"children":7785},{},[7786,7788,7795],{"type":25,"value":7787},"This use of data allows you to learn about what consumers want based on previous initiatives, too. Search engine optimization manager, Brett Downes, says that it’s essential for businesses to be able to ",{"type":20,"tag":44,"props":7789,"children":7792},{"href":7790,"rel":7791},"https://www.businessnewsdaily.com/10625-businesses-collecting-data.html",[538],[7793],{"type":25,"value":7794},"map users’ journeys",{"type":25,"value":7796}," within the ecosystem of the internet. Doing so gives you a good benchmark of where your brand fits into their journey. You can then find out what marketing channels will help you engage your target audience more effectively, whether that is through email marketing, social media, or content marketing.",{"type":20,"tag":1495,"props":7798,"children":7800},{"id":7799},"enrich-existing-data",[7801],{"type":25,"value":7802},"Enrich existing data",{"type":20,"tag":21,"props":7804,"children":7805},{},[7806,7808,7813],{"type":25,"value":7807},"You collect a lot of data. But it's inevitable that there will be some gaps in what you know about your customers. With ",{"type":20,"tag":44,"props":7809,"children":7811},{"href":7810},"/blog/data-enrichment",[7812],{"type":25,"value":158},{"type":25,"value":7814},", you can fill in the gaps to learn more about your customers. Data enrichment lets you connect data collected from other places to your first-party data to make your datasets richer, differentiated, and more comprehensive.",{"type":20,"tag":21,"props":7816,"children":7817},{},[7818],{"type":25,"value":7819},"By accessing data from external sources in order to fill gaps in customer profiles, you can obtain higher-quality insights and create hyper-targeted marketing campaigns. It can even help you create a full picture of your audiences, including their buying behavior. In turn, this vastly improves conversion rates.",{"type":20,"tag":21,"props":7821,"children":7822},{},[7823,7825,7831],{"type":25,"value":7824},"By using alternative data from ",{"type":20,"tag":44,"props":7826,"children":7828},{"href":781,"rel":7827},[538],[7829],{"type":25,"value":7830},"numerous data sources at once",{"type":25,"value":7832},", you can easily expand your understanding of demographic profiles, interests, and behaviors. With Narrative, you can also evaluate aggregated data before purchasing the data points you need based on certain criteria.",{"type":20,"tag":1495,"props":7834,"children":7836},{"id":7835},"have-the-right-people-on-your-data-team",[7837],{"type":25,"value":7838},"Have the right people on your data team",{"type":20,"tag":21,"props":7840,"children":7841},{},[7842],{"type":25,"value":7843},"In the current marketing landscape, companies need people who are specifically skilled at reading, measuring, and understanding the continuous changes within the market. You need data analysts who are capable and well trained in data management, data science, visualization, and presentation.",{"type":20,"tag":21,"props":7845,"children":7846},{},[7847,7849,7856],{"type":25,"value":7848},"Today, professionals with ",{"type":20,"tag":44,"props":7850,"children":7853},{"href":7851,"rel":7852},"https://online.maryville.edu/online-masters-degrees/business-data-analytics/careers/",[538],[7854],{"type":25,"value":7855},"data analytics degrees",{"type":25,"value":7857}," have become highly sought-after. They not only monitor data, but also spot patterns and develop insights and recommendations for your organization. Some data professionals even take continuing education and further training to specialize in analytics for digital marketing.",{"type":20,"tag":21,"props":7859,"children":7860},{},[7861,7863,7870],{"type":25,"value":7862},"Data analysts can look at patterns in web traffic to determine the best time to post new content. They can also monitor search terms and trends to better optimize a search advertising campaign. The data specialists you need should be able to help you ",{"type":20,"tag":44,"props":7864,"children":7867},{"href":7865,"rel":7866},"https://www.cio.com/article/3439818/what-is-a-data-analyst-a-key-role-for-data-driven-business-decisions.html",[538],[7868],{"type":25,"value":7869},"make tactical decisions",{"type":25,"value":7871}," and answer ad hoc queries based on accurate insights.",{"type":20,"tag":21,"props":7873,"children":7874},{},[7875,7877,7883],{"type":25,"value":7876},"Due to heavy digitalization, marketing is now entwined with data analytics. Indeed, improving how you harness data can lead to better marketing strategies. Another point to consider is the method in which data is acquired. Particularly for marketing, ",{"type":20,"tag":44,"props":7878,"children":7880},{"href":7879},"/blog/speed-matters",[7881],{"type":25,"value":7882},"timeliness is essential",{"type":25,"value":7884},", so it’s important to get data smoothly and conveniently to be able to harness their full potential.",{"type":20,"tag":21,"props":7886,"children":7887},{},[7888,7890],{"type":25,"value":7889},"Want to get a leg up on your data-driven marketing strategy? ",{"type":20,"tag":44,"props":7891,"children":7892},{"href":180},[7893],{"type":25,"value":7894},"Schedule a call with a member of our team today.",{"title":8,"searchDepth":193,"depth":193,"links":7896},[7897,7898,7899],{"id":7774,"depth":193,"text":7777},{"id":7799,"depth":193,"text":7802},{"id":7835,"depth":193,"text":7838},"content:blog:data-driven-marketing.md","blog/data-driven-marketing.md","blog/data-driven-marketing",{"loc":251},{"_path":7905,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":7906,"description":7907,"publishDate":7908,"author":3094,"ogImage":7909,"image":7909,"tags":7910,"authorSlug":3099,"body":7911,"_type":195,"_id":8172,"_source":197,"_file":8173,"_stem":8174,"_extension":200,"sitemap":8175},"/blog/data-economy-2-0","Data Economy 2.0: Rethinking Data Acquisition & Data Monetization","Data is increasingly one of the most valuable resources in nearly every industry. But that doesn’t mean its value is being realized.","2019-03-04 22:16:00","/img/blog/2019/03/BLOG-030419---data-2.0.jpg",[4365,209,610],{"type":17,"children":7912,"toc":8169},[7913,7919,7922,7927,7931,7936,7941,7947,7952,7957,7963,7968,7973,7987,7992,7998,8003,8008,8013,8019,8024,8030,8063,8069,8074,8079,8084,8089,8095,8100,8105,8110,8115,8121,8126,8131,8137,8142,8147,8159],{"type":20,"tag":223,"props":7914,"children":7916},{"id":7915},"data-practitioners-need-to-focus-on-data-quality-transparency-and-compliance-to-keep-up",[7917],{"type":25,"value":7918},"Data practitioners need to focus on data quality, transparency, and compliance to keep up",{"type":20,"tag":5193,"props":7920,"children":7921},{"id":8},[],{"type":20,"tag":21,"props":7923,"children":7924},{},[7925],{"type":25,"value":7926},"There’s no denying data’s immense power... and its current limitations.",{"type":20,"tag":21,"props":7928,"children":7929},{},[7930],{"type":25,"value":7907},{"type":20,"tag":21,"props":7932,"children":7933},{},[7934],{"type":25,"value":7935},"As Ann Winblad, co-founder and a Managing Director of Hummer Winblad Ventures, said recently, for data to be worthwhile for businesses, “it has to be useful, and specific.”",{"type":20,"tag":21,"props":7937,"children":7938},{},[7939],{"type":25,"value":7940},"Too often, it’s neither.",{"type":20,"tag":5193,"props":7942,"children":7944},{"id":7943},"a-robust-fluid-data-market-must-emerge-for-it-to-unlock-its-massive-potential",[7945],{"type":25,"value":7946},"A robust, fluid data market must emerge for it to unlock its massive potential",{"type":20,"tag":21,"props":7948,"children":7949},{},[7950],{"type":25,"value":7951},"Data has the power to transform business, and is already doing so. Simply put, in today's digital era, for companies to survive and ultimately thrive, they must participate in the emerging data economy.",{"type":20,"tag":21,"props":7953,"children":7954},{},[7955],{"type":25,"value":7956},"Unfortunately, the data that will help these companies thrive is rarely at their fingertips. It’s spread out across multiple vendors, buried inside broad segments, or locked up within walled gardens.",{"type":20,"tag":5193,"props":7958,"children":7960},{"id":7959},"all-data-isnt-created-equal",[7961],{"type":25,"value":7962},"All data isn’t created equal",{"type":20,"tag":21,"props":7964,"children":7965},{},[7966],{"type":25,"value":7967},"Nearly every industry is becoming increasingly sophisticated and scientific when it comes to data and analytics.",{"type":20,"tag":21,"props":7969,"children":7970},{},[7971],{"type":25,"value":7972},"Yet buying and selling of data is trapped in an analog world.",{"type":20,"tag":21,"props":7974,"children":7975},{},[7976,7978,7985],{"type":25,"value":7977},"Indeed, companies that buy data are all pushing for more control, ",{"type":20,"tag":44,"props":7979,"children":7982},{"href":7980,"rel":7981},"https://www.narrative.io/about",[538],[7983],{"type":25,"value":7984},"transparency",{"type":25,"value":7986},", and options—and partners who can deliver on those needs. Yet they are continually settling for what they have instead of what they want.",{"type":20,"tag":21,"props":7988,"children":7989},{},[7990],{"type":25,"value":7991},"Meanwhile, companies that sell data are equally as frustrated and need to figure out how to respond to this growing dissatisfaction.",{"type":20,"tag":5193,"props":7993,"children":7995},{"id":7994},"for-businesses-to-survive-and-thrive-the-proper-tools-needs-to-exist",[7996],{"type":25,"value":7997},"For businesses to survive and thrive, the proper tools needs to exist",{"type":20,"tag":21,"props":7999,"children":8000},{},[8001],{"type":25,"value":8002},"To extract the maximum value from data and ultimately make it useful, companies need data with specificity. (Think of specificity as the difference between saying it’s hot out and saying it’s 93 degrees out.)",{"type":20,"tag":21,"props":8004,"children":8005},{},[8006],{"type":25,"value":8007},"Currently, attaining the level of precision needed for data to be useful is a painful process involving both seller and buyer, and there’s no guarantee the data purchased will be useful.",{"type":20,"tag":21,"props":8009,"children":8010},{},[8011],{"type":25,"value":8012},"Creating the tools needed to clean, organize, and analyze data internally is just not an option for most companies trying to run and grow their core business.",{"type":20,"tag":5193,"props":8014,"children":8016},{"id":8015},"the-narrative-data-platform-and-data-marketplace",[8017],{"type":25,"value":8018},"The Narrative Data Platform and Data Marketplace",{"type":20,"tag":21,"props":8020,"children":8021},{},[8022],{"type":25,"value":8023},"We’ve created a software-driven marketplace designed to facilitate data acquisition. We’ve built the supply chain and infrastructure to bring data acquisition and monetization into 2019. Our goal is to help make data from other companies as accessible and useful as your first-party data.",{"type":20,"tag":5193,"props":8025,"children":8027},{"id":8026},"some-of-the-attributes-of-our-product",[8028],{"type":25,"value":8029},"Some of the attributes of our product",{"type":20,"tag":903,"props":8031,"children":8032},{},[8033,8038,8043,8048,8053,8058],{"type":20,"tag":907,"props":8034,"children":8035},{},[8036],{"type":25,"value":8037},"Overall, our software is designed to deliver data specificity. To make data useful for all parties",{"type":20,"tag":907,"props":8039,"children":8040},{},[8041],{"type":25,"value":8042},"Data transactions are fast and straightforward for both buyers and sellers",{"type":20,"tag":907,"props":8044,"children":8045},{},[8046],{"type":25,"value":8047},"Our marketplace is fully transparent. That means we go beyond just producing a report with a list of customers. We want to make it dead simple for buyers and sellers to interact directly. If you’re going to jump on the phone with a customer and ask data questions, you’re able to do that with Narrative",{"type":20,"tag":907,"props":8049,"children":8050},{},[8051],{"type":25,"value":8052},"The platform isn’t limited to a single use case. It can be used for data enrichment, consumer analytics, acquisition marketing, attribution, building predictive models, or anything your team dreams up",{"type":20,"tag":907,"props":8054,"children":8055},{},[8056],{"type":25,"value":8057},"Narrative is safe. Our marketplace was built from the ground up with security in mind",{"type":20,"tag":907,"props":8059,"children":8060},{},[8061],{"type":25,"value":8062},"Perhaps most importantly, Narrative makes data accessible and actionable for buyers and monetizable for sellers",{"type":20,"tag":5193,"props":8064,"children":8066},{"id":8065},"marketing-technology-provides-a-substantial-case-study-for-the-current-data-conundrum",[8067],{"type":25,"value":8068},"Marketing technology provides a substantial case study for the current data conundrum",{"type":20,"tag":21,"props":8070,"children":8071},{},[8072],{"type":25,"value":8073},"Consider how far the marketing industry has advanced in recent years when it comes to using data and technology for managing efficiency and making smarter decisions.",{"type":20,"tag":21,"props":8075,"children":8076},{},[8077],{"type":25,"value":8078},"Brands today manage dozens of channels using cloud-based software. They glean deep insights into their customers’ thanks to collecting first-party data. They buy ads in real time. They know who their customers are and what they like and what they do.",{"type":20,"tag":21,"props":8080,"children":8081},{},[8082],{"type":25,"value":8083},"Simply put, brands’ data is their data. Because of that, these companies can leverage that data with all the autonomy, precision, and transparency they need - which is incredibly valuable.",{"type":20,"tag":21,"props":8085,"children":8086},{},[8087],{"type":25,"value":8088},"Then think about how these same brands use - or don’t use - consumer data obtained outside of their organization. None of those qualities apply. Instead, when employing acquired data, companies operate in the dark and with little control. They end up wasting money targeting the wrong users, or the same users, again and again, thanks to non-specific, non-useful data sets. Their return on investment suffers even as they try to be precise.",{"type":20,"tag":5193,"props":8090,"children":8092},{"id":8091},"the-practice-of-buying-and-selling-data-is-stuck-in-the-1990s",[8093],{"type":25,"value":8094},"The practice of buying and selling data is stuck in the 1990s",{"type":20,"tag":21,"props":8096,"children":8097},{},[8098],{"type":25,"value":8099},"Remember booking a flight or finding a financial broker in the pre-internet era? You had little transparency or control over what you were getting. Gatekeepers dictated these transactions and the flow of information - and customers often got one-size-all solutions.",{"type":20,"tag":21,"props":8101,"children":8102},{},[8103],{"type":25,"value":8104},"That’s where acquiring data for marketing purposes stands today. You can buy or license pre-packaged segments that don’t mean much and don’t change. Rarely is it clear who you are reaching or where the data originated. You get the data version of the dollar menu.",{"type":20,"tag":21,"props":8106,"children":8107},{},[8108],{"type":25,"value":8109},"Companies on the sell side would surely like to offer better data options, but even if they have valuable data in-house they don’t have the means or the tools needed to provide anything but off the shelf data packages. So many companies don’t even bother.",{"type":20,"tag":21,"props":8111,"children":8112},{},[8113],{"type":25,"value":8114},"In a nutshell, the way companies trade data is downright primitive. There is nothing real time about it.",{"type":20,"tag":5193,"props":8116,"children":8118},{"id":8117},"existing-data-strategies-are-hindering-growth",[8119],{"type":25,"value":8120},"Existing data strategies are hindering growth",{"type":20,"tag":21,"props":8122,"children":8123},{},[8124],{"type":25,"value":8125},"The current stagnancy found in the marketplace for data transactions is creating massive missed opportunities for both buyers and sellers",{"type":20,"tag":21,"props":8127,"children":8128},{},[8129],{"type":25,"value":8130},"For buyers, that means unrealized growth, while more data-savvy competitors advance For sellers, that’s revenue left on the data. They end up sitting on an increasingly powerful and valuable asset at a time when every media company is under enormous pressure to diversify",{"type":20,"tag":5193,"props":8132,"children":8134},{"id":8133},"its-time-to-evolve-your-data-strategy",[8135],{"type":25,"value":8136},"It’s time to evolve your data strategy",{"type":20,"tag":21,"props":8138,"children":8139},{},[8140],{"type":25,"value":8141},"In short, it’s finally time for data to transform your business the way it was supposed to.",{"type":20,"tag":21,"props":8143,"children":8144},{},[8145],{"type":25,"value":8146},"It’s up to you how your business looks to monetize or acquire data. At Narrative, we don’t buy or sell data, nor do we intend to. Instead, our goal is to power the new data economy.",{"type":20,"tag":21,"props":8148,"children":8149},{},[8150],{"type":20,"tag":44,"props":8151,"children":8153},{"href":8152},"/contact/",[8154,8156],{"type":25,"value":8155},"Get in touch! We’d love to show you the impact Narrative can have on your business.",{"type":20,"tag":2006,"props":8157,"children":8158},{},[],{"type":20,"tag":21,"props":8160,"children":8161},{},[8162,8164,8167],{"type":25,"value":8163},"**By Nick Jordan",{"type":20,"tag":2006,"props":8165,"children":8166},{},[],{"type":25,"value":8168},"\n**CEO, Narrative",{"title":8,"searchDepth":193,"depth":193,"links":8170},[8171],{"id":7915,"depth":380,"text":7918},"content:blog:data-economy-2-0.md","blog/data-economy-2-0.md","blog/data-economy-2-0",{"loc":7905},{"_path":7810,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":8177,"description":8178,"publishDate":8179,"author":7560,"ogImage":8180,"image":8180,"tags":8181,"body":8182,"_type":195,"_id":8584,"_source":197,"_file":8585,"_stem":8586,"_extension":200,"sitemap":8587},"What is data enrichment?","Enriching customer records with external sources of data gives brands access to new signals and differentiating information.","2020-02-05 19:59:03","/img/blog/2020/02/enrichment---social.png",[4365,15],{"type":17,"children":8183,"toc":8579},[8184,8189,8194,8204,8209,8214,8219,8224,8267,8273,8278,8284,8289,8302,8314,8319,8324,8329,8337,8355,8363,8381,8387,8401,8414,8427,8432,8440,8458,8466,8484,8490,8501,8506,8511,8554],{"type":20,"tag":21,"props":8185,"children":8186},{},[8187],{"type":25,"value":8188},"Having access to high-quality granular data is mission-critical for any modern brand’s growth strategy. This data fuels digital marketing, analytics, and insight generation, allowing brands to better understand their existing customers, increase lifetime value, acquire new customers, and drive business intelligence efforts.",{"type":20,"tag":21,"props":8190,"children":8191},{},[8192],{"type":25,"value":8193},"While all brands get data from their customers, there’s a limit to the amount of information that they can collect without negatively impacting the customer experience. Gaps in customer profiles lowers the efficacy of digital marketing efforts, reduce the return on marketing spend, and limits opportunities for new insights.",{"type":20,"tag":21,"props":8195,"children":8196},{},[8197,8199,8203],{"type":25,"value":8198},"To fill in these gaps in their customer profiles, brands use ",{"type":20,"tag":44,"props":8200,"children":8201},{"href":155},[8202],{"type":25,"value":158},{"type":25,"value":191},{"type":20,"tag":223,"props":8205,"children":8207},{"id":8206},"what-is-data-enrichment",[8208],{"type":25,"value":8177},{"type":20,"tag":21,"props":8210,"children":8211},{},[8212],{"type":25,"value":8213},"Data enrichment is the process of appending raw data from external sources to first-party customer records.",{"type":20,"tag":21,"props":8215,"children":8216},{},[8217],{"type":25,"value":8218},"Enriching customer records with external sources of data gives brands access to new signal and differentiating information. This allows for the development of unparalleled levels of insights, enabling smarter decisions for growth and product strategy.",{"type":20,"tag":21,"props":8220,"children":8221},{},[8222],{"type":25,"value":8223},"With data enrichment, brands can:",{"type":20,"tag":903,"props":8225,"children":8226},{},[8227,8232,8237,8242,8247,8252,8257,8262],{"type":20,"tag":907,"props":8228,"children":8229},{},[8230],{"type":25,"value":8231},"Improve personalization and customer engagement",{"type":20,"tag":907,"props":8233,"children":8234},{},[8235],{"type":25,"value":8236},"Identify unknown site and app visitors",{"type":20,"tag":907,"props":8238,"children":8239},{},[8240],{"type":25,"value":8241},"Build detailed cohorts for lifetime value modeling",{"type":20,"tag":907,"props":8243,"children":8244},{},[8245],{"type":25,"value":8246},"Reduce ad spend waste",{"type":20,"tag":907,"props":8248,"children":8249},{},[8250],{"type":25,"value":8251},"Predict buying behavior",{"type":20,"tag":907,"props":8253,"children":8254},{},[8255],{"type":25,"value":8256},"Boost conversion rates",{"type":20,"tag":907,"props":8258,"children":8259},{},[8260],{"type":25,"value":8261},"Refine targeting",{"type":20,"tag":907,"props":8263,"children":8264},{},[8265],{"type":25,"value":8266},"Create lookalike audiences",{"type":20,"tag":223,"props":8268,"children":8270},{"id":8269},"how-do-brands-acquire-enrichment-data",[8271],{"type":25,"value":8272},"How do brands acquire enrichment data?",{"type":20,"tag":21,"props":8274,"children":8275},{},[8276],{"type":25,"value":8277},"Typically, there have been two ways for brands to acquire external data for enrichment purposes: partner directly with other data originators or use a third-party service.",{"type":20,"tag":5193,"props":8279,"children":8281},{"id":8280},"second-party-direct-deals",[8282],{"type":25,"value":8283},"Second-party direct deals",{"type":20,"tag":21,"props":8285,"children":8286},{},[8287],{"type":25,"value":8288},"When brands need access to raw data, they'll often make deals with other companies to purchase their first-party data directly.",{"type":20,"tag":21,"props":8290,"children":8291},{},[8292,8294,8300],{"type":25,"value":8293},"The process by which they select this partner is often known as a ",{"type":20,"tag":44,"props":8295,"children":8297},{"href":8296},"/blog/kill-the-data-bake-off",[8298],{"type":25,"value":8299},"data bake-off",{"type":25,"value":8301},". Brands will ask suppliers with the data they need to compete for a contract by sending over sample datasets, which the brand will test for accuracy, match rate, overlap, and scale. Once they’ve selected a winning supplier, both companies’ legal teams will draft a contract and negotiate terms and pricing, after which the engineering teams will integrate their systems.",{"type":20,"tag":21,"props":8303,"children":8304},{},[8305,8307,8312],{"type":25,"value":8306},"The benefit of this approach is that, by partnering directly with a data originator, brands know exactly how and when the data they're using was collected. This ",{"type":20,"tag":44,"props":8308,"children":8310},{"href":8309},"/about",[8311],{"type":25,"value":7984},{"type":25,"value":8313}," allows brands to execute with confidence, as they can rest assured that the data informing their decisions, strategies, and campaigns meets their specific criteria for accuracy and quality.",{"type":20,"tag":21,"props":8315,"children":8316},{},[8317],{"type":25,"value":8318},"This approach does have its downsides, though. Forming these partnerships can take months or even years to complete, and requires involvement from numerous departments, including legal, finance, and engineering.",{"type":20,"tag":21,"props":8320,"children":8321},{},[8322],{"type":25,"value":8323},"Furthermore, no one supplier has all the data a brand could ever need, so the process must be repeated every time a brand wants to enrich their customer profiles with a new data type.",{"type":20,"tag":21,"props":8325,"children":8326},{},[8327],{"type":25,"value":8328},"As additional sources of data are added to a brand's data portfolio, it becomes increasingly difficult to optimize spend, as issues arise with duplicate data and data that doesn't provide signal. 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Data interoperability, the capability to exchange and make use of information between different systems and organizations, is crucial for efficient decision-making, innovation, and growth. Meanwhile, strategy and business interoperability ensure that organizations can adapt their operational tactics and business models with agility and precision.",{"type":20,"tag":21,"props":8603,"children":8604},{},[8605],{"type":20,"tag":33,"props":8606,"children":8607},{},[8608],{"type":25,"value":8609},"Why Organizations Need Data and Strategy Interoperability",{"type":20,"tag":2051,"props":8611,"children":8612},{},[8613,8623,8633,8643],{"type":20,"tag":907,"props":8614,"children":8615},{},[8616,8621],{"type":20,"tag":33,"props":8617,"children":8618},{},[8619],{"type":25,"value":8620},"Enhanced Decision-Making:",{"type":25,"value":8622}," Data interoperability allows organizations to access and analyze a richer dataset, leading to more informed and accurate decisions.",{"type":20,"tag":907,"props":8624,"children":8625},{},[8626,8631],{"type":20,"tag":33,"props":8627,"children":8628},{},[8629],{"type":25,"value":8630},"Increased Operational Efficiency:",{"type":25,"value":8632}," By automating data exchanges and reducing manual data handling, organizations save time and resources, minimizing errors and increasing productivity.",{"type":20,"tag":907,"props":8634,"children":8635},{},[8636,8641],{"type":20,"tag":33,"props":8637,"children":8638},{},[8639],{"type":25,"value":8640},"Improved Customer Experiences:",{"type":25,"value":8642}," Unified data systems help businesses provide personalized and consistent customer experiences across various touchpoints.",{"type":20,"tag":907,"props":8644,"children":8645},{},[8646,8651],{"type":20,"tag":33,"props":8647,"children":8648},{},[8649],{"type":25,"value":8650},"Scalability and Flexibility:",{"type":25,"value":8652}," Strategy interoperability enables businesses to adapt quickly to market changes and new business opportunities without overhauling their foundational systems.",{"type":20,"tag":21,"props":8654,"children":8655},{},[8656],{"type":20,"tag":33,"props":8657,"children":8658},{},[8659],{"type":25,"value":8660},"The Role of a Modular and Flexible Data Collaboration Platform",{"type":20,"tag":21,"props":8662,"children":8663},{},[8664],{"type":25,"value":8665},"A modular data collaboration platform, which can be customized to fit the unique needs of different businesses and grow with them, stands out as the best solution for achieving high data and strategy interoperability levels. Such platforms offer:",{"type":20,"tag":2051,"props":8667,"children":8668},{},[8669,8679,8689],{"type":20,"tag":907,"props":8670,"children":8671},{},[8672,8677],{"type":20,"tag":33,"props":8673,"children":8674},{},[8675],{"type":25,"value":8676},"Customization:",{"type":25,"value":8678}," Users can select only the necessary tools and functionalities, reducing costs and complexity.",{"type":20,"tag":907,"props":8680,"children":8681},{},[8682,8687],{"type":20,"tag":33,"props":8683,"children":8684},{},[8685],{"type":25,"value":8686},"Scalability:",{"type":25,"value":8688}," As business needs evolve, the platform can expand its capabilities, supporting larger data volumes and more complex processes without significant re-investment.",{"type":20,"tag":907,"props":8690,"children":8691},{},[8692,8697],{"type":20,"tag":33,"props":8693,"children":8694},{},[8695],{"type":25,"value":8696},"Integration Ease:",{"type":25,"value":8698}," Modular platforms are designed to integrate smoothly with existing systems, reducing the time and technical challenges associated with data synchronization.",{"type":20,"tag":21,"props":8700,"children":8701},{},[8702],{"type":20,"tag":33,"props":8703,"children":8704},{},[8705],{"type":25,"value":8706},"Leading the Charge in Data Collaboration",{"type":20,"tag":21,"props":8708,"children":8709},{},[8710],{"type":25,"value":8711},"Narrative exemplifies the ideal modular data collaboration platform. With its no-code user experience and simple Narrative Query Language (NQL), it makes data collaboration accessible to both non-technical and technical users alike. Its built-in data compliance and security features maintain data governance without sacrificing functionality.",{"type":20,"tag":21,"props":8713,"children":8714},{},[8715],{"type":25,"value":8716},"Narrative's platform supports any data type and offers advanced features such as automated data standardization, making it a leader in data interoperability. Whether integrating with third-party platforms or scaling operations to meet enterprise needs, Narrative's technology is designed to provide a seamless, efficient, and secure data collaboration experience.",{"type":20,"tag":21,"props":8718,"children":8719},{},[8720],{"type":25,"value":8721},"As businesses navigate a data-driven world, the demand for platforms that can provide data and strategy interoperability will only grow. Narrative, with its innovative approach and flexible solutions, stands ready to help businesses unlock their full potential through superior data collaboration.",{"title":8,"searchDepth":193,"depth":193,"links":8723},[],"content:blog:data-harmony-bridging-tech-and-strategy-interoperability.md","blog/data-harmony-bridging-tech-and-strategy-interoperability.md","blog/data-harmony-bridging-tech-and-strategy-interoperability",{"loc":8589},{"_path":350,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":8729,"description":8730,"publishDate":8731,"author":12,"ogImage":8732,"image":8732,"tags":8733,"body":8734,"_type":195,"_id":8891,"_source":197,"_file":8892,"_stem":8893,"_extension":200,"sitemap":8894},"Data Storage 101: Data Lakes, Data Warehouses, and Data Marts","Data lakes, data warehouses, and data marts are all used for storing big data, but they are not interchangeable terms. This crash course on data storage will lay out the definitions and differentiators for these key terms.","2021-10-20 17:19:24","/img/blog/2021/10/lake-vs-warehouse.png",[1054],{"type":17,"children":8735,"toc":8882},[8736,8741,8747,8752,8757,8762,8768,8773,8778,8784,8789,8795,8800,8805,8810,8816,8821,8826,8832,8837,8842,8848,8861,8869],{"type":20,"tag":21,"props":8737,"children":8738},{},[8739],{"type":25,"value":8740},"In the world of big data, it is important to find ways to store the overwhelming volumes of data that are being generated every second. Data professionals have found that it is generally useful to either pour their data into data lakes or stack their data into data warehouses (and data mart subdivisions). This crash course on data storage will lay out the definitions and differentiators of these data storage solutions and explain their unique functions.",{"type":20,"tag":1495,"props":8742,"children":8744},{"id":8743},"what-is-a-data-lake",[8745],{"type":25,"value":8746},"What is a data lake?",{"type":20,"tag":21,"props":8748,"children":8749},{},[8750],{"type":25,"value":8751},"A data lake is a repository of raw data that has been stored in its native format. Much like a normal lake can be dipped into in order to retrieve unfiltered and unprocessed water, a data lake can be dipped into in order to access data that has not been processed or analyzed. It is a body of data in its purest form.",{"type":20,"tag":21,"props":8753,"children":8754},{},[8755],{"type":25,"value":8756},"James Dixon, founder and former CTO of Pentaho, has been credited with coining the term “data lake” and created an analogy to explain his concept that perfectly fits the term:",{"type":20,"tag":21,"props":8758,"children":8759},{},[8760],{"type":25,"value":8761},"“The Data Lake is a large body of water in a more natural state. The contents of the Data Lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples.”",{"type":20,"tag":1495,"props":8763,"children":8765},{"id":8764},"so-what-are-data-marts-and-data-warehouses",[8766],{"type":25,"value":8767},"So what are data marts and data warehouses?",{"type":20,"tag":21,"props":8769,"children":8770},{},[8771],{"type":25,"value":8772},"Data marts are archives of normally structured and stored data. In Dixon’s analogy, he likens a data mart to “a store of bottled water, cleansed and packaged and structured for easy consumption.” Data marts are generally used and managed by a specific community or department and are often a subdivision of a data warehouse.",{"type":20,"tag":21,"props":8774,"children":8775},{},[8776],{"type":25,"value":8777},"Data warehouses are bigger storage locations that store archived and ordered data from a wide range of sources. Data is packaged and organized just like stored goods would be in a manufacturer's warehouse.",{"type":20,"tag":1495,"props":8779,"children":8781},{"id":8780},"what-are-the-main-differences-between-data-lakes-and-data-warehouses",[8782],{"type":25,"value":8783},"What are the main differences between data lakes and data warehouses?",{"type":20,"tag":21,"props":8785,"children":8786},{},[8787],{"type":25,"value":8788},"The most important distinction between a data lake and a data warehouse is that data flows into a data lake in its absolute raw, native form while data arrives at a data warehouse in a structured and defined form.",{"type":20,"tag":1495,"props":8790,"children":8792},{"id":8791},"data-lakes-retain-all-data-and-support-all-data-types",[8793],{"type":25,"value":8794},"Data lakes retain all data and support all data types",{"type":20,"tag":21,"props":8796,"children":8797},{},[8798],{"type":25,"value":8799},"Data lakes want all data to feel welcome. Any and all data is allowed to swim in a data lake. Data warehouses, however, are like high-profile data nightclubs; they only let in the data they decide is worthy of being there.",{"type":20,"tag":21,"props":8801,"children":8802},{},[8803],{"type":25,"value":8804},"Data lakes retain data that is useful, data that isn’t useful, data that will be used immediately, and data that may never be used at all. No data is left behind. It is poured into the lake without planning or structure. Data lakes also support all types of data: structured, semi-structured and unstructured data. All of the data in a data lake is kept in its native format and will only be transformed if it is ready to be used.",{"type":20,"tag":21,"props":8806,"children":8807},{},[8808],{"type":25,"value":8809},"A data warehouse is more discriminatory; it only includes data that has been structured and that has an identified use. When a data warehouse is developed, a significant amount of time is spent analyzing the data that will be stored within it. Decisions are made regarding what data will or won’t make the cut: if the data is useful, it will be included in the data warehouse and if the data is not useful, it will be excluded.",{"type":20,"tag":1495,"props":8811,"children":8813},{"id":8812},"data-lakes-adapt-easily-to-changes-and-provide-faster-insights",[8814],{"type":25,"value":8815},"Data lakes adapt easily to changes and provide faster insights",{"type":20,"tag":21,"props":8817,"children":8818},{},[8819],{"type":25,"value":8820},"One of the major disadvantages of data warehouses is how long it takes to change them. Because of the complexity of the data warehouse’s structure, making changes to these models is a tedious and lengthy process.",{"type":20,"tag":21,"props":8822,"children":8823},{},[8824],{"type":25,"value":8825},"Data lakes are much more flexible since they don’t have a defined structure at all. They are free-flowing data reservoirs that can be configured and reconfigured as needed. The data is explorable in a way that can answer more questions and gain more insight. Because data lakes contain all data, support all data types, and enable access to data before it has been transformed and structured, they are also able to provide faster results than the traditional data warehouse approach.",{"type":20,"tag":1495,"props":8827,"children":8829},{"id":8828},"how-should-data-lakes-and-data-warehouses-be-used",[8830],{"type":25,"value":8831},"How should data lakes and data warehouses be used?",{"type":20,"tag":21,"props":8833,"children":8834},{},[8835],{"type":25,"value":8836},"Data lakes and data warehouses are different tools that serve different purposes. Data warehouses are often used as a way of sharing data and content across a specific team or department in an organized and efficient way. Data lakes, on the other hand, are used and accessed by anyone that needs raw data. The data within data lakes has the capability to be analyzed and transformed in any organization, department, or team that might make use of it.",{"type":20,"tag":21,"props":8838,"children":8839},{},[8840],{"type":25,"value":8841},"If your organization has an established data warehouse, it might be a good idea to implement a data lake alongside it to remove some of the constraints that a data warehouse may be placing on the potential of your data.",{"type":20,"tag":1495,"props":8843,"children":8845},{"id":8844},"narratives-data-lake-is-vast-transparent-and-swimming-with-data",[8846],{"type":25,"value":8847},"Narrative’s data lake is vast, transparent, and swimming with data",{"type":20,"tag":21,"props":8849,"children":8850},{},[8851,8853,8859],{"type":25,"value":8852},"One of our foundations at Narrative is our commitment to ",{"type":20,"tag":44,"props":8854,"children":8856},{"href":8855},"/blog/the-narrative-manifesto-part-two",[8857],{"type":25,"value":8858},"always keep data raw",{"type":25,"value":8860},", never modeled or transformed. We aim to maximize the potential of all data’s specificity and usefulness. That’s why we use a data lake to store our buyer’s and seller’s data. The data lake model adapts and scales easily for large volumes of data and it can handle any data type or structure. The ease of feeding data into our data lake empowers data distributors to monetize large quantities of natively stored data while the flexibility of accessing the data in our data lake allows data buyers to explore and transform data in its purest form.",{"type":20,"tag":21,"props":8862,"children":8863},{},[8864],{"type":20,"tag":33,"props":8865,"children":8866},{},[8867],{"type":25,"value":8868},"Narrative makes it easy to buy and sell raw data.",{"type":20,"tag":21,"props":8870,"children":8871},{},[8872,8880],{"type":20,"tag":44,"props":8873,"children":8874},{"href":180},[8875],{"type":20,"tag":33,"props":8876,"children":8877},{},[8878],{"type":25,"value":8879},"Schedule some time with our experts",{"type":25,"value":8881}," **to learn more!",{"title":8,"searchDepth":193,"depth":193,"links":8883},[8884,8885,8886,8887,8888,8889,8890],{"id":8743,"depth":193,"text":8746},{"id":8764,"depth":193,"text":8767},{"id":8780,"depth":193,"text":8783},{"id":8791,"depth":193,"text":8794},{"id":8812,"depth":193,"text":8815},{"id":8828,"depth":193,"text":8831},{"id":8844,"depth":193,"text":8847},"content:blog:data-lakes-data-warehouses-and-data-marts.md","blog/data-lakes-data-warehouses-and-data-marts.md","blog/data-lakes-data-warehouses-and-data-marts",{"loc":350},{"_path":8896,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":8897,"description":8898,"publishDate":8899,"author":1436,"authorSlug":1437,"ogImage":8900,"image":8900,"tags":8901,"body":8907,"_type":195,"_id":9266,"_source":197,"_file":9267,"_stem":9268,"_extension":200,"sitemap":9269},"/blog/data-marketplaces-should-work-like-infrastructure-not-catalogs","Data Marketplaces Should Work Like Infrastructure, Not Catalogs","Most data marketplaces operate like catalogs. Modern data teams need infrastructure: queryable data, normalized signals, and faster experimentation.","2026-03-18T09:00:00.000Z","/img/blog/2026/03/data-marketplace-infrastructure.png",[8902,8903,1262,165,8904,8905,8906],"data marketplace","data infrastructure","data normalization","audience data","data procurement",{"type":17,"children":8908,"toc":9259},[8909,8914,8919,8924,8929,8939,8944,8967,8972,8978,8983,8988,9011,9021,9026,9032,9037,9042,9047,9096,9101,9106,9111,9117,9122,9132,9142,9152,9162,9174,9180,9185,9190,9200,9205,9223,9228,9234,9239,9244,9249,9254],{"type":20,"tag":21,"props":8910,"children":8911},{},[8912],{"type":25,"value":8913},"Buying data is supposed to make your models smarter and your targeting sharper.",{"type":20,"tag":21,"props":8915,"children":8916},{},[8917],{"type":25,"value":8918},"In reality, it often turns into a procurement exercise.",{"type":20,"tag":21,"props":8920,"children":8921},{},[8922],{"type":25,"value":8923},"You identify a dataset that might help—identity signals, location intelligence, transaction activity. Then the real work begins. Contracts. Pipelines. Schema mapping. Compliance reviews. Weeks or months before the data even touches your environment.",{"type":20,"tag":21,"props":8925,"children":8926},{},[8927],{"type":25,"value":8928},"And after all that effort, you still don't know if the signal is useful. And it may only be available as a finished audience segment.",{"type":20,"tag":21,"props":8930,"children":8931},{},[8932,8934],{"type":25,"value":8933},"That's the dirty secret of the modern data economy: ",{"type":20,"tag":33,"props":8935,"children":8936},{},[8937],{"type":25,"value":8938},"the hardest part isn't finding data. It's making it usable.",{"type":20,"tag":21,"props":8940,"children":8941},{},[8942],{"type":25,"value":8943},"Most organizations end up stuck between two bad options:",{"type":20,"tag":903,"props":8945,"children":8946},{},[8947,8957],{"type":20,"tag":907,"props":8948,"children":8949},{},[8950,8955],{"type":20,"tag":33,"props":8951,"children":8952},{},[8953],{"type":25,"value":8954},"Buy pre-packaged segments",{"type":25,"value":8956}," and hope the assumptions behind them match your use case",{"type":20,"tag":907,"props":8958,"children":8959},{},[8960,8965],{"type":20,"tag":33,"props":8961,"children":8962},{},[8963],{"type":25,"value":8964},"Build custom pipelines",{"type":25,"value":8966}," for every new dataset and accept that experimentation moves at the speed of procurement",{"type":20,"tag":21,"props":8968,"children":8969},{},[8970],{"type":25,"value":8971},"Neither option scales.",{"type":20,"tag":1495,"props":8973,"children":8975},{"id":8974},"the-marketplace-model-needed-a-reset",[8976],{"type":25,"value":8977},"The Marketplace Model Needed a Reset",{"type":20,"tag":21,"props":8979,"children":8980},{},[8981],{"type":25,"value":8982},"Traditional data marketplaces tried to solve this problem by acting as intermediaries. Brokers sit in the middle, bundle datasets together, and sell packaged outputs.",{"type":20,"tag":21,"props":8984,"children":8985},{},[8986],{"type":25,"value":8987},"But intermediaries introduce their own problems:",{"type":20,"tag":903,"props":8989,"children":8990},{},[8991,8996,9001,9006],{"type":20,"tag":907,"props":8992,"children":8993},{},[8994],{"type":25,"value":8995},"You rarely see the raw signal behind the segment",{"type":20,"tag":907,"props":8997,"children":8998},{},[8999],{"type":25,"value":9000},"You can't combine multiple datasets easily",{"type":20,"tag":907,"props":9002,"children":9003},{},[9004],{"type":25,"value":9005},"Licensing happens before you know if the data works",{"type":20,"tag":907,"props":9007,"children":9008},{},[9009],{"type":25,"value":9010},"Integrations take months",{"type":20,"tag":21,"props":9012,"children":9013},{},[9014,9019],{"type":20,"tag":33,"props":9015,"children":9016},{},[9017],{"type":25,"value":9018},"The result?",{"type":25,"value":9020}," Teams buy data cautiously, experiment slowly, and leave useful signals untapped.",{"type":20,"tag":21,"props":9022,"children":9023},{},[9024],{"type":25,"value":9025},"What if the marketplace worked more like modern infrastructure instead of a catalog of static products?",{"type":20,"tag":1495,"props":9027,"children":9029},{"id":9028},"enter-the-narrative-data-marketplace",[9030],{"type":25,"value":9031},"Enter the Narrative Data Marketplace",{"type":20,"tag":21,"props":9033,"children":9034},{},[9035],{"type":25,"value":9036},"The Narrative Data Marketplace flips the model by focusing on the layer underneath—raw data signals that feed identity graphs, analytics models, and activation systems.",{"type":20,"tag":21,"props":9038,"children":9039},{},[9040],{"type":25,"value":9041},"Instead of purchasing opaque datasets upfront, teams can discover, query, and acquire raw identity-linked data signals directly, with normalization, governance, and collaboration built in.",{"type":20,"tag":21,"props":9043,"children":9044},{},[9045],{"type":25,"value":9046},"In practical terms, that means:",{"type":20,"tag":903,"props":9048,"children":9049},{},[9050,9062,9074,9086],{"type":20,"tag":907,"props":9051,"children":9052},{},[9053,9055,9060],{"type":25,"value":9054},"Data arrives ",{"type":20,"tag":33,"props":9056,"children":9057},{},[9058],{"type":25,"value":9059},"normalized to a shared schema",{"type":25,"value":9061},", so it works with your existing data immediately",{"type":20,"tag":907,"props":9063,"children":9064},{},[9065,9067,9072],{"type":25,"value":9066},"Queries run ",{"type":20,"tag":33,"props":9068,"children":9069},{},[9070],{"type":25,"value":9071},"before you license anything",{"type":25,"value":9073},", letting you test signals and preview matches",{"type":20,"tag":907,"props":9075,"children":9076},{},[9077,9079,9084],{"type":25,"value":9078},"You can ",{"type":20,"tag":33,"props":9080,"children":9081},{},[9082],{"type":25,"value":9083},"filter and combine multiple datasets",{"type":25,"value":9085}," in a single query",{"type":20,"tag":907,"props":9087,"children":9088},{},[9089,9091],{"type":25,"value":9090},"You only license the ",{"type":20,"tag":33,"props":9092,"children":9093},{},[9094],{"type":25,"value":9095},"rows that actually match your use case",{"type":20,"tag":21,"props":9097,"children":9098},{},[9099],{"type":25,"value":9100},"No massive bulk purchases. No pipeline projects just to experiment.",{"type":20,"tag":21,"props":9102,"children":9103},{},[9104],{"type":25,"value":9105},"Just usable data.",{"type":20,"tag":21,"props":9107,"children":9108},{},[9109],{"type":25,"value":9110},"This approach works because the Marketplace isn't a standalone exchange. It's part of a broader infrastructure layer designed to make fragmented datasets interoperable across organizations.",{"type":20,"tag":1495,"props":9112,"children":9114},{"id":9113},"what-actually-happens-when-you-use-it",[9115],{"type":25,"value":9116},"What Actually Happens When You Use It",{"type":20,"tag":21,"props":9118,"children":9119},{},[9120],{"type":25,"value":9121},"At a high level, the process looks like this:",{"type":20,"tag":21,"props":9123,"children":9124},{},[9125,9130],{"type":20,"tag":33,"props":9126,"children":9127},{},[9128],{"type":25,"value":9129},"1. Discover signals:",{"type":25,"value":9131}," Search across a wide range of datasets covering identity, location, transaction activity, media exposure, behavioral signals, and more.",{"type":20,"tag":21,"props":9133,"children":9134},{},[9135,9140],{"type":20,"tag":33,"props":9136,"children":9137},{},[9138],{"type":25,"value":9139},"2. Query the data:",{"type":25,"value":9141}," Use Narrative Query Language (NQL) to filter, join, and preview results across multiple datasets before licensing anything.",{"type":20,"tag":21,"props":9143,"children":9144},{},[9145,9150],{"type":20,"tag":33,"props":9146,"children":9147},{},[9148],{"type":25,"value":9149},"3. License only what you need:",{"type":25,"value":9151}," Instead of buying the entire dataset, you acquire just the records that match your audience, analysis, or modeling criteria.",{"type":20,"tag":21,"props":9153,"children":9154},{},[9155,9160],{"type":20,"tag":33,"props":9156,"children":9157},{},[9158],{"type":25,"value":9159},"4. Activate immediately:",{"type":25,"value":9161}," Because the data arrives normalized and governed, it can flow directly into identity graphs, analytics pipelines, or activation platforms.",{"type":20,"tag":21,"props":9163,"children":9164},{},[9165,9167,9172],{"type":25,"value":9166},"The whole process happens ",{"type":20,"tag":33,"props":9168,"children":9169},{},[9170],{"type":25,"value":9171},"inside your environment",{"type":25,"value":9173},", maintaining governance and eliminating unnecessary data movement.",{"type":20,"tag":1495,"props":9175,"children":9177},{"id":9176},"why-this-model-changes-the-economics-of-data",[9178],{"type":25,"value":9179},"Why This Model Changes the Economics of Data",{"type":20,"tag":21,"props":9181,"children":9182},{},[9183],{"type":25,"value":9184},"When experimentation becomes easier, the entire data strategy shifts.",{"type":20,"tag":21,"props":9186,"children":9187},{},[9188],{"type":25,"value":9189},"Teams move from cautious purchasing to iterative discovery.",{"type":20,"tag":21,"props":9191,"children":9192},{},[9193,9195],{"type":25,"value":9194},"Instead of asking, \"Is this dataset worth buying?\" the question becomes: ",{"type":20,"tag":33,"props":9196,"children":9197},{},[9198],{"type":25,"value":9199},"\"What signals actually improve the model?\"",{"type":20,"tag":21,"props":9201,"children":9202},{},[9203],{"type":25,"value":9204},"That shift has real impact:",{"type":20,"tag":903,"props":9206,"children":9207},{},[9208,9213,9218],{"type":20,"tag":907,"props":9209,"children":9210},{},[9211],{"type":25,"value":9212},"Marketing teams can test new audience signals faster",{"type":20,"tag":907,"props":9214,"children":9215},{},[9216],{"type":25,"value":9217},"Analytics teams can combine behavioral and transactional datasets without months of engineering work",{"type":20,"tag":907,"props":9219,"children":9220},{},[9221],{"type":25,"value":9222},"Data science teams can experiment with new inputs without committing to long-term licenses",{"type":20,"tag":21,"props":9224,"children":9225},{},[9226],{"type":25,"value":9227},"In other words, data becomes something you explore, not something you gamble on.",{"type":20,"tag":1495,"props":9229,"children":9231},{"id":9230},"more-signals-fewer-intermediaries",[9232],{"type":25,"value":9233},"More Signals, Fewer Intermediaries",{"type":20,"tag":21,"props":9235,"children":9236},{},[9237],{"type":25,"value":9238},"The data economy has always had plenty of signals.",{"type":20,"tag":21,"props":9240,"children":9241},{},[9242],{"type":25,"value":9243},"What it lacked was infrastructure to make those signals usable across organizations.",{"type":20,"tag":21,"props":9245,"children":9246},{},[9247],{"type":25,"value":9248},"That's the gap the Narrative Data Marketplace fills.",{"type":20,"tag":21,"props":9250,"children":9251},{},[9252],{"type":25,"value":9253},"Instead of relying on opaque intermediaries or custom pipelines, teams can access a wide ecosystem of datasets—normalized, queryable, and ready to combine with their own data.",{"type":20,"tag":21,"props":9255,"children":9256},{},[9257],{"type":25,"value":9258},"More signal. Less friction. And a lot less duct tape.",{"title":8,"searchDepth":193,"depth":193,"links":9260},[9261,9262,9263,9264,9265],{"id":8974,"depth":193,"text":8977},{"id":9028,"depth":193,"text":9031},{"id":9113,"depth":193,"text":9116},{"id":9176,"depth":193,"text":9179},{"id":9230,"depth":193,"text":9233},"content:blog:data-marketplaces-should-work-like-infrastructure-not-catalogs.md","blog/data-marketplaces-should-work-like-infrastructure-not-catalogs.md","blog/data-marketplaces-should-work-like-infrastructure-not-catalogs",{"loc":8896},{"_path":9271,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":9272,"description":9273,"publishDate":9274,"author":12,"ogImage":9275,"image":9275,"tags":9276,"body":9277,"_type":195,"_id":9441,"_source":197,"_file":9442,"_stem":9443,"_extension":200,"sitemap":9444},"/blog/data-monetization-strategy-for-2023","Building a Data Monetization Strategy for 2023","Design your 2023 data monetization strategy to optimize your company’s data investment returns with the help of this quick guide. ","2022-11-30 16:00:00","/img/blog/2022/11/Frame-1076-2.png",[609,610],{"type":17,"children":9278,"toc":9435},[9279,9284,9290,9300,9313,9318,9329,9335,9340,9345,9350,9355,9361,9375,9386,9391,9397,9402,9413,9418],{"type":20,"tag":21,"props":9280,"children":9281},{},[9282],{"type":25,"value":9283},"Every successful enterprise wants to rake in as much revenue as possible in order to continue to thrive and grow. However, many organizations aren't aware that the data they collect every day can be a significant source of revenue for them. As 2023 nears, more and more organizations are hopping on the data monetization train as they realize that data is becoming an extremely valuable asset. A good data monetization strategy is what could launch your organization into the next level of success. That's why building a data monetization strategy is even more vital for the coming year.",{"type":20,"tag":1495,"props":9285,"children":9287},{"id":9286},"what-is-data-monetization-and-why-do-you-need-a-strategy",[9288],{"type":25,"value":9289},"What is data monetization and why do you need a strategy?",{"type":20,"tag":21,"props":9291,"children":9292},{},[9293,9298],{"type":20,"tag":44,"props":9294,"children":9295},{"href":566},[9296],{"type":25,"value":9297},"Data monetization",{"type":25,"value":9299}," is the act of generating measurable economic benefits from available data sources. It allows your organization to unlock the external value of your company’s internal data. The data that your company has collected and used for internal purposes can actually be extremely valuable to other organizations, and your company could be earning an entirely new stream of revenue by simply sharing that data.",{"type":20,"tag":21,"props":9301,"children":9302},{},[9303,9305,9311],{"type":25,"value":9304},"Data monetization is expected to generate massive waves of revenue for companies in 2023 and the years to come. ",{"type":20,"tag":44,"props":9306,"children":9308},{"href":1204,"rel":9307},[538],[9309],{"type":25,"value":9310},"According to a recent market study published by Global Industry Analysts Inc.",{"type":25,"value":9312},", the global market for data monetization is set to reach $4.1 billion by 2026, growing at 16.7% annually.",{"type":20,"tag":21,"props":9314,"children":9315},{},[9316],{"type":25,"value":9317},"So, how does your enterprise make sure they are getting a piece of the data monetization pie in the new year?",{"type":20,"tag":21,"props":9319,"children":9320},{},[9321,9323,9328],{"type":25,"value":9322},"As your business plans its data monetization strategy for 2023, it’s important to design your strategy in a way that optimizes your company’s data investment returns. In order for companies to make data a successfully monetizable asset, they will need to develop a data monetization strategy that mixes: ",{"type":20,"tag":33,"props":9324,"children":9325},{},[9326],{"type":25,"value":9327},"improving, wrapping, and selling initiatives",{"type":25,"value":191},{"type":20,"tag":1495,"props":9330,"children":9332},{"id":9331},"improving-wrapping-your-data",[9333],{"type":25,"value":9334},"Improving & wrapping your data",{"type":20,"tag":21,"props":9336,"children":9337},{},[9338],{"type":25,"value":9339},"The “improving” and “wrapping” approaches to data monetization are ways to indirectly monetize data through process and/or product optimization.",{"type":20,"tag":21,"props":9341,"children":9342},{},[9343],{"type":25,"value":9344},"“Improving” means that your business is using data to redesign and optimize internal processes and tasks. It’s a no-brainer as most every enterprise is already practicing this data monetization strategy in some capacity. Using data to make operations more efficient and cost-effective creates new innovative opportunities and reduces resource waste.",{"type":20,"tag":21,"props":9346,"children":9347},{},[9348],{"type":25,"value":9349},"“Wrapping” means that your company is using data to enhance the value of existing products with complementary reports, visualizations, scores, benchmarks, alerts, and automated actions. It’s undeniably important to distinguish your company’s unique products and data wrapping serves as a way to cater to customer experiences.",{"type":20,"tag":21,"props":9351,"children":9352},{},[9353],{"type":25,"value":9354},"Wrapping increases the value of your product as well as the customer’s willingness to buy your company’s product. By constantly augmenting your products with valuable data, your company establishes customer loyalty, increases the lifetime value of each customer, and leads to increased customer referrals.",{"type":20,"tag":1495,"props":9356,"children":9358},{"id":9357},"selling-your-data-as-a-product",[9359],{"type":25,"value":9360},"Selling your data as a “product”",{"type":20,"tag":21,"props":9362,"children":9363},{},[9364,9366,9373],{"type":25,"value":9365},"Selling data means exactly that - it is the process of converting your company’s data directly into revenue. As 2023 approaches, more businesses than ever are clamoring to put their data assets into the data economy in order to generate revenue. Data is now seen as a viable and lucrative ",{"type":20,"tag":44,"props":9367,"children":9370},{"href":9368,"rel":9369},"https://insidebigdata.com/2021/11/29/2022-and-vertical-industry-data-a-sleeping-giant-awakens/",[538],[9371],{"type":25,"value":9372},"“product” that can be packaged, marketed, and sold",{"type":25,"value":9374},". The most forward-thinking organizations are not only selling non-information products, but also selling quality information solutions.",{"type":20,"tag":21,"props":9376,"children":9377},{},[9378,9380,9384],{"type":25,"value":9379},"The fastest and most cost-effective way to sell data assets as products is to use a ",{"type":20,"tag":44,"props":9381,"children":9382},{"href":3775},[9383],{"type":25,"value":776},{"type":25,"value":9385},". These platforms provide the automated tools necessary to package, market, and deliver custom data products to multiple buyers. It is predicted that as 2023 unfolds, more than a third of organizations will be either sellers or buyers of data within online markets like data commerce platforms.",{"type":20,"tag":21,"props":9387,"children":9388},{},[9389],{"type":25,"value":9390},"Data collaboration platforms make buying and selling data more accessible, cost-effective, and scalable than it has ever been before. By leveraging these platforms, companies can rake in revenue from their data assets while also acquiring valuable data from other organizations without having to go through lengthy negotiations.",{"type":20,"tag":1495,"props":9392,"children":9394},{"id":9393},"upgrade-your-data-monetization-strategy-with-the-right-tech-tools",[9395],{"type":25,"value":9396},"Upgrade your data monetization strategy with the right tech & tools",{"type":20,"tag":21,"props":9398,"children":9399},{},[9400],{"type":25,"value":9401},"If your business is applying a healthy mix of improving, wrapping, and selling data, then you should be in a good spot for 2023. However, if you want to get even further ahead of the curve, your company should be sure to utilize the newest and most cutting-edge data monetization tools in the market.",{"type":20,"tag":21,"props":9403,"children":9404},{},[9405,9407,9411],{"type":25,"value":9406},"Narrative’s ",{"type":20,"tag":44,"props":9408,"children":9409},{"href":337},[9410],{"type":25,"value":340},{"type":25,"value":9412}," is the latest innovation in the world of data monetization. It is a suite of intuitive apps that provides companies with an intuitive, no-code interface allowing them to build a fully functional data shop in just a few hours. Instead of having to burn through resources by hiring data engineers, developers, salespeople, and legal and financial teams to sell your data assets, you can stand up an e-commerce data business with custom packaged products from the comfort of your office in as little as a day.",{"type":20,"tag":21,"props":9414,"children":9415},{},[9416],{"type":25,"value":9417},"Using Data Shops will drastically decrease time to market, give you the tools you need to market your data, and provide you with access to a wide marketplace. It’s the fastest, easiest, and most cost-effective way to directly sell your valuable data to multiple buyers and start generating a significant stream of revenue in 2022.  ",{"type":20,"tag":21,"props":9419,"children":9420},{},[9421,9429,9430],{"type":20,"tag":44,"props":9422,"children":9423},{"href":180},[9424],{"type":20,"tag":33,"props":9425,"children":9426},{},[9427],{"type":25,"value":9428},"Schedule a call with our experts",{"type":25,"value":177},{"type":20,"tag":33,"props":9431,"children":9432},{},[9433],{"type":25,"value":9434},"to learn more!",{"title":8,"searchDepth":193,"depth":193,"links":9436},[9437,9438,9439,9440],{"id":9286,"depth":193,"text":9289},{"id":9331,"depth":193,"text":9334},{"id":9357,"depth":193,"text":9360},{"id":9393,"depth":193,"text":9396},"content:blog:data-monetization-strategy-for-2023.md","blog/data-monetization-strategy-for-2023.md","blog/data-monetization-strategy-for-2023",{"loc":9271},{"_path":147,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":9446,"description":9447,"publishDate":9448,"author":7560,"ogImage":9449,"image":9449,"tags":9450,"body":9451,"_type":195,"_id":9737,"_source":197,"_file":9738,"_stem":9739,"_extension":200,"sitemap":9740},"What is data onboarding?","Data onboarding is the process of transferring your offline customer data into an online platform to use it for targeted advertising and personalization.","2023-03-09 19:51:54","/img/blog/2023/03/data-onboarding.png",[],{"type":17,"children":9452,"toc":9720},[9453,9458,9463,9468,9473,9478,9489,9495,9500,9505,9511,9516,9522,9527,9532,9538,9543,9549,9554,9560,9565,9571,9576,9582,9587,9592,9604,9610,9615,9620,9625,9630,9635,9640,9645,9650,9656,9661,9666,9671,9676,9681,9687,9698,9710,9715],{"type":20,"tag":21,"props":9454,"children":9455},{},[9456],{"type":25,"value":9457},"Data onboarding is the process of transferring your offline or online customer data into an online platform in order to use it for targeted advertising, personalization, or analytics.",{"type":20,"tag":21,"props":9459,"children":9460},{},[9461],{"type":25,"value":9462},"Data onboarding is a critical process for businesses that want to utilize their customer data for targeted advertising, personalization, or analytics. But with so many options available, it can be difficult to know where to start.",{"type":20,"tag":21,"props":9464,"children":9465},{},[9466],{"type":25,"value":9467},"In this blog, we'll explain what data onboarding is, why it's important, and how the process works. We'll also explore key factors to consider when choosing a data onboarding partner, such as speed, cost, ease of use, and control. By the end of this blog, you'll have a better understanding of how data onboarding can benefit your business and what to look for in a data onboarding partner.",{"type":20,"tag":1495,"props":9469,"children":9471},{"id":9470},"what-is-data-onboarding",[9472],{"type":25,"value":9446},{"type":20,"tag":21,"props":9474,"children":9475},{},[9476],{"type":25,"value":9477},"Data onboarding is the process of transferring your offline or online customer data into an online platform in order to use it for targeted advertising, personalization, or analytics. This is done by matching customer data to digital identifiers, pieces of information that can be used to identify a specific user online, such as an email address or a cookie.",{"type":20,"tag":21,"props":9479,"children":9480},{},[9481,9483,9487],{"type":25,"value":9482},"By onboarding your ",{"type":20,"tag":44,"props":9484,"children":9485},{"href":46},[9486],{"type":25,"value":49},{"type":25,"value":9488},", you can create more personalized experiences for your customers and reach your target audience more effectively. By doing so, you can increase the chances of converting these prospects into paying customers, and ultimately drive more revenue for your business.",{"type":20,"tag":1495,"props":9490,"children":9492},{"id":9491},"why-is-data-onboarding-important",[9493],{"type":25,"value":9494},"Why is data onboarding important?",{"type":20,"tag":21,"props":9496,"children":9497},{},[9498],{"type":25,"value":9499},"Data onboarding is becoming increasingly important as digital marketing continues to evolve. With the rise of privacy regulations such as GDPR and CCPA, third-party cookies are being phased out, making it more difficult to track user behavior across websites. By onboarding your first-party data, you can still target your customers with relevant ads even if third-party cookies are no longer available.",{"type":20,"tag":21,"props":9501,"children":9502},{},[9503],{"type":25,"value":9504},"In addition, onboarding your first-party data allows you to create a more complete view of your customers. By combining offline and online data, you can gain insights into your customers' behavior across all channels, which can inform your marketing and business strategies.",{"type":20,"tag":1495,"props":9506,"children":9508},{"id":9507},"how-does-the-data-onboarding-process-work",[9509],{"type":25,"value":9510},"How does the data onboarding process work?",{"type":20,"tag":21,"props":9512,"children":9513},{},[9514],{"type":25,"value":9515},"The data onboarding process can be broken down into several steps:",{"type":20,"tag":223,"props":9517,"children":9519},{"id":9518},"_1-upload",[9520],{"type":25,"value":9521},"1. Upload",{"type":20,"tag":21,"props":9523,"children":9524},{},[9525],{"type":25,"value":9526},"The first step of the data onboarding process is to upload your offline, first-party data to a data onboarding provider.",{"type":20,"tag":21,"props":9528,"children":9529},{},[9530],{"type":25,"value":9531},"If you are working with a legacy data onboarder, you will need to consider the format of your data to ensure that it is compatible with their requirements. Additionally, you may need to clean and normalize the data before uploading it to ensure that it is properly structured. This can be a frustrating and time-consuming process, especially if any errors force you to start over. This is why it’s important to find a provider that can handle the formatting and preparation of your data for you.",{"type":20,"tag":223,"props":9533,"children":9535},{"id":9534},"_2-hash",[9536],{"type":25,"value":9537},"2. Hash",{"type":20,"tag":21,"props":9539,"children":9540},{},[9541],{"type":25,"value":9542},"Once your data is uploaded, it should be hashed, a process that converts the data into a fixed-length string of characters. Hashing is important for privacy reasons, as it allows your data to be matched without revealing any personally identifiable information.",{"type":20,"tag":223,"props":9544,"children":9546},{"id":9545},"_3-match",[9547],{"type":25,"value":9548},"3. Match",{"type":20,"tag":21,"props":9550,"children":9551},{},[9552],{"type":25,"value":9553},"After hashing your data, the next step is to match your customer data to online user IDs associated with that customer. This is done using the hashed identifiers created in the previous step. The goal of this step is to identify which online user profiles correspond to your offline or online customer data.",{"type":20,"tag":223,"props":9555,"children":9557},{"id":9556},"_4-activate",[9558],{"type":25,"value":9559},"4. Activate",{"type":20,"tag":21,"props":9561,"children":9562},{},[9563],{"type":25,"value":9564},"The final step of the data onboarding process is to activate your data. This means that your onboarded data is now ready to be used for targeted advertising, personalization, or analytics. By activating your data, you can create more personalized experiences for your customers and target them with relevant advertising messages.",{"type":20,"tag":1495,"props":9566,"children":9568},{"id":9567},"key-factors-for-successful-data-onboarding",[9569],{"type":25,"value":9570},"Key factors for successful data onboarding",{"type":20,"tag":21,"props":9572,"children":9573},{},[9574],{"type":25,"value":9575},"To ensure a smooth and cost-effective data onboarding process that provides you with necessary control over your data, pay attention to several critical factors when selecting a data onboarding partner.",{"type":20,"tag":223,"props":9577,"children":9579},{"id":9578},"speed",[9580],{"type":25,"value":9581},"Speed",{"type":20,"tag":21,"props":9583,"children":9584},{},[9585],{"type":25,"value":9586},"When evaluating data onboarding partners, be sure to ask about their onboarding speed and how quickly you can expect to start using your data. The faster the data onboarding process, the quicker you can start using your data to inform your marketing and business strategies.",{"type":20,"tag":21,"props":9588,"children":9589},{},[9590],{"type":25,"value":9591},"Legacy data onboarders often take a week or longer to process and deliver your onboarded data. This can be a frustrating experience, especially when you’re eager to launch a new campaign. These delays can also lead to missed opportunities to target customers who may have been interested in your product or service.",{"type":20,"tag":21,"props":9593,"children":9594},{},[9595,9597,9602],{"type":25,"value":9596},"With Narrative, onboarding and activating offline customer data takes 15 minutes or less. The platform ",{"type":20,"tag":44,"props":9598,"children":9599},{"href":7203},[9600],{"type":25,"value":9601},"automatically formats and normalizes your data",{"type":25,"value":9603},", eliminating the need for your engineers to do so manually, and instantly delivers the onboarded data to advertising platforms so you can start using it as soon as possible.",{"type":20,"tag":223,"props":9605,"children":9607},{"id":9606},"cost",[9608],{"type":25,"value":9609},"Cost",{"type":20,"tag":21,"props":9611,"children":9612},{},[9613],{"type":25,"value":9614},"Cost is another important factor to consider when evaluating data onboarding partners. Onboarding data can be an expensive process, especially for small businesses, so it's crucial to find a vendor that fits your budget.",{"type":20,"tag":21,"props":9616,"children":9617},{},[9618],{"type":25,"value":9619},"Some vendors may charge a flat fee for onboarding, while others may charge per record or per data source. It's important to understand the pricing structure upfront and ensure that it aligns with your budget.",{"type":20,"tag":21,"props":9621,"children":9622},{},[9623],{"type":25,"value":9624},"In addition to the upfront costs, it's also important to consider any ongoing costs associated with data onboarding. This includes maintenance fees, data storage fees, and any additional fees for accessing or analyzing your data.",{"type":20,"tag":21,"props":9626,"children":9627},{},[9628],{"type":25,"value":9629},"Overall, when evaluating data onboarding vendors, be sure to consider both the upfront and ongoing costs associated with the service. Look for a vendor that can provide a high-quality service at a cost that fits your budget.",{"type":20,"tag":223,"props":9631,"children":9632},{"id":5889},[9633],{"type":25,"value":9634},"Ease of use",{"type":20,"tag":21,"props":9636,"children":9637},{},[9638],{"type":25,"value":9639},"Another important factor to consider when evaluating data onboarding partners is ease of use. Legacy data onboarders often require significant technical expertise to use, which can be a barrier for small businesses or companies without dedicated engineering teams.",{"type":20,"tag":21,"props":9641,"children":9642},{},[9643],{"type":25,"value":9644},"When evaluating data onboarding providers, look for a solution that is user-friendly and requires minimal technical expertise. This can help you save time and resources, as well as reduce the risk of errors or delays in onboarding your data.",{"type":20,"tag":21,"props":9646,"children":9647},{},[9648],{"type":25,"value":9649},"Narrative's data onboarding process is designed to be user-friendly and requires no technical expertise to use. The platform automates the formatting and preparation of your data, eliminating the need for manual data cleaning or normalization. In addition, Narrative's platform integrates with a wide range of advertising platforms and data management solutions, making it easy to use your onboarded data for targeted advertising, personalization, or analytics.",{"type":20,"tag":223,"props":9651,"children":9653},{"id":9652},"control",[9654],{"type":25,"value":9655},"Control",{"type":20,"tag":21,"props":9657,"children":9658},{},[9659],{"type":25,"value":9660},"When evaluating data onboarding vendors, it's important to consider how much control you will have over your data. Having control over your data is crucial for ensuring that it is properly managed, secured, and used in a way that aligns with your business goals and values.",{"type":20,"tag":21,"props":9662,"children":9663},{},[9664],{"type":25,"value":9665},"One aspect of control to consider is data ownership. It's important to understand who will own the data once it's onboarded and stored in a platform. Some vendors may claim ownership of the data, which can limit your ability to use it in the future or transfer it to another platform.",{"type":20,"tag":21,"props":9667,"children":9668},{},[9669],{"type":25,"value":9670},"Another aspect of control to consider is data security. Make sure to ask vendors about their data security protocols and how they will protect your data from unauthorized access or breaches. You should also consider whether the vendor is compliant with relevant data privacy regulations, such as GDPR or CCPA.",{"type":20,"tag":21,"props":9672,"children":9673},{},[9674],{"type":25,"value":9675},"Finally, it's important to consider how much control you will have over how your data is used. Some vendors may offer limited options for data usage or may use your data for their own purposes, such as creating their own analytics models. Make sure to ask vendors about their data usage policies and ensure that they align with your business goals.",{"type":20,"tag":21,"props":9677,"children":9678},{},[9679],{"type":25,"value":9680},"Overall, having control over your data is essential for ensuring that it is properly managed and used in a way that aligns with your business goals and values. When evaluating data onboarding vendors, make sure to consider data ownership, security, and usage options to ensure that you have the level of control you need.",{"type":20,"tag":1495,"props":9682,"children":9684},{"id":9683},"narrative-fast-cost-effective-and-easy-data-onboarding",[9685],{"type":25,"value":9686},"Narrative: Fast, Cost-Effective, and Easy Data Onboarding",{"type":20,"tag":21,"props":9688,"children":9689},{},[9690,9692,9696],{"type":25,"value":9691},"Data onboarding allows you to create more personalized experiences for your customers and target them with relevant advertising messages. Narrative’s ",{"type":20,"tag":44,"props":9693,"children":9694},{"href":558},[9695],{"type":25,"value":776},{"type":25,"value":9697}," makes the onboarding process as fast, cost-effective, and user-friendly as possible.",{"type":20,"tag":21,"props":9699,"children":9700},{},[9701,9703,9708],{"type":25,"value":9702},"With Narrative, ",{"type":20,"tag":44,"props":9704,"children":9705},{"href":115},[9706],{"type":25,"value":9707},"onboarding and activating",{"type":25,"value":9709}," offline customer data takes 15 minutes or less. The platform automatically formats and normalizes your data, eliminating the need for your engineers to do so manually, and instantly delivers the onboarded data to advertising platforms so you can start using it as soon as possible.",{"type":20,"tag":21,"props":9711,"children":9712},{},[9713],{"type":25,"value":9714},"Narrative also offers competitive pricing, with a variety of pricing plans to fit every budget. And with its user-friendly interface and minimal technical expertise required, Narrative makes it easy for businesses of all sizes to onboard their data and start using it for targeted advertising, personalization, or analytics.",{"type":20,"tag":21,"props":9716,"children":9717},{},[9718],{"type":25,"value":9719},"By onboarding first-party data, you can gain valuable insights into your customers' behavior across all channels and use that information to inform your marketing and business strategies. With fast, cost-effective, and user-friendly data onboarding solutions like Narrative, implementing data onboarding has never been easier.",{"title":8,"searchDepth":193,"depth":193,"links":9721},[9722,9723,9724,9730,9736],{"id":9470,"depth":193,"text":9446},{"id":9491,"depth":193,"text":9494},{"id":9507,"depth":193,"text":9510,"children":9725},[9726,9727,9728,9729],{"id":9518,"depth":380,"text":9521},{"id":9534,"depth":380,"text":9537},{"id":9545,"depth":380,"text":9548},{"id":9556,"depth":380,"text":9559},{"id":9567,"depth":193,"text":9570,"children":9731},[9732,9733,9734,9735],{"id":9578,"depth":380,"text":9581},{"id":9606,"depth":380,"text":9609},{"id":5889,"depth":380,"text":9634},{"id":9652,"depth":380,"text":9655},{"id":9683,"depth":193,"text":9686},"content:blog:data-onboarding.md","blog/data-onboarding.md","blog/data-onboarding",{"loc":147},{"_path":9742,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":9743,"description":9744,"publishDate":9745,"author":1927,"ogImage":9746,"image":9746,"tags":9747,"authorSlug":1932,"body":9749,"_type":195,"_id":9886,"_source":197,"_file":9887,"_stem":9888,"_extension":200,"sitemap":9889},"/blog/data-precision-in-digital-out-of-home-advertising","Data Precision in Digital Out-of-Home Advertising—A Technical Dive into Narrative's Advanced Solutions","Leveraging the advanced data collaboration platform by Narrative, companies can now elevate their DOOH campaigns, merging real-time data management with targeted advertising precision.","2024-05-14 13:01:50","/img/blog/2024/05/DOOH-precision-data.png",[1262,6989,6614,9748],"digital out of home",{"type":17,"children":9750,"toc":9884},[9751,9756,9761,9769,9774,9807,9815,9820,9828,9833,9866,9874,9879],{"type":20,"tag":21,"props":9752,"children":9753},{},[9754],{"type":25,"value":9755},"Out-Of-Home (DOOH) strategies have become a crucial asset for achieving impactful, efficient marketing results. Leveraging the advanced data collaboration platform by Narrative, companies can now elevate their DOOH campaigns, merging real-time data management with targeted advertising precision. This post delves into the technical underpinnings and features of Narrative’s offerings that make such advancements possible.",{"type":20,"tag":21,"props":9757,"children":9758},{},[9759],{"type":25,"value":9760},"Narrative’s platform uniquely positions it as a pivotal partner in both acquiring and monetizing geolocation data for DOOH advertising. By providing tailored, dynamic data schema options and leveraging its patented Rosetta Stone technology, Narrative enables advertisers to effectively manage data costs while ensuring they target only the most relevant audiences. This high-level advantage forms the foundation for the detailed technical solutions outlined below, each designed to enhance campaign precision and cost efficiency.",{"type":20,"tag":21,"props":9762,"children":9763},{},[9764],{"type":20,"tag":33,"props":9765,"children":9766},{},[9767],{"type":25,"value":9768},"Dynamic Schema Creation: A Tailored Data Experience",{"type":20,"tag":21,"props":9770,"children":9771},{},[9772],{"type":25,"value":9773},"Narrative’s platform, enhanced by Rosetta Stone technology, empowers advertisers to customize their data schema according to the specific needs of each campaign. This dynamic schema creation allows users to selectively choose data attributes that are most relevant, ensuring both cost efficiency and data relevance. Key attributes include:",{"type":20,"tag":903,"props":9775,"children":9776},{},[9777,9787,9797],{"type":20,"tag":907,"props":9778,"children":9779},{},[9780,9785],{"type":20,"tag":33,"props":9781,"children":9782},{},[9783],{"type":25,"value":9784},"Mobile Unique Ad ID (MAID) Value and Type:",{"type":25,"value":9786}," Essential for tracking and identifying devices in various geographies.",{"type":20,"tag":907,"props":9788,"children":9789},{},[9790,9795],{"type":20,"tag":33,"props":9791,"children":9792},{},[9793],{"type":25,"value":9794},"Event Timestamp, Latitude, Longitude, and Horizontal Accuracy:",{"type":25,"value":9796}," These attributes provide precise spatial and temporal data, crucial for mapping user movements and behaviors.",{"type":20,"tag":907,"props":9798,"children":9799},{},[9800,9805],{"type":20,"tag":33,"props":9801,"children":9802},{},[9803],{"type":25,"value":9804},"Country Code and Points of Interest (POI):",{"type":25,"value":9806}," Geographical and location-based data that enhance targeting based on specific venues or areas, available in various formats like Geojson, WKT, Point Radius, and Bounded Boxes.",{"type":20,"tag":21,"props":9808,"children":9809},{},[9810],{"type":20,"tag":33,"props":9811,"children":9812},{},[9813],{"type":25,"value":9814},"Deduplication and Data Precision",{"type":20,"tag":21,"props":9816,"children":9817},{},[9818],{"type":25,"value":9819},"To maintain high data quality, Narrative introduces deduplication filtering. This feature allows users to define what constitutes a unique record in their dataset, which could be a single MAID at a unique latitude/longitude point or a more complex combination involving event timestamps. Additionally, users can apply rounding logic to latitude and longitude points, helping reduce noise and improve the relevancy of the data captured.",{"type":20,"tag":21,"props":9821,"children":9822},{},[9823],{"type":20,"tag":33,"props":9824,"children":9825},{},[9826],{"type":25,"value":9827},"Enhanced Filtering Capabilities",{"type":20,"tag":21,"props":9829,"children":9830},{},[9831],{"type":25,"value":9832},"Narrative’s platform also offers robust filtering options that refine data based on frequency, dwell time, and time of day. Importantly, these filters can be adjusted anytime, allowing advertisers to respond dynamically to the effectiveness of their campaigns without being locked into a static data feed:",{"type":20,"tag":903,"props":9834,"children":9835},{},[9836,9846,9856],{"type":20,"tag":907,"props":9837,"children":9838},{},[9839,9844],{"type":20,"tag":33,"props":9840,"children":9841},{},[9842],{"type":25,"value":9843},"Frequency Filtering:",{"type":25,"value":9845}," This tool helps manage the visibility of a MAID over a specified period, filtering out data that does not meet predefined activity thresholds, such as minimum or maximum appearances of a MAID.",{"type":20,"tag":907,"props":9847,"children":9848},{},[9849,9854],{"type":20,"tag":33,"props":9850,"children":9851},{},[9852],{"type":25,"value":9853},"Dwell Time:",{"type":25,"value":9855}," Advertisers can set thresholds for how long a MAID must be at a location to be considered in the output, vital for analyzing foot traffic in retail environments.",{"type":20,"tag":907,"props":9857,"children":9858},{},[9859,9864],{"type":20,"tag":33,"props":9860,"children":9861},{},[9862],{"type":25,"value":9863},"Time of Day and Frequency of Visits:",{"type":25,"value":9865}," These filters allow campaigns to target MAIDs based on the time they appear and how often they visit a location, distinguishing between regular and occasional visitors.",{"type":20,"tag":21,"props":9867,"children":9868},{},[9869],{"type":20,"tag":33,"props":9870,"children":9871},{},[9872],{"type":25,"value":9873},"Technical Implementation and Benefits",{"type":20,"tag":21,"props":9875,"children":9876},{},[9877],{"type":25,"value":9878},"The integration of these features into a DOOH campaign involves setting up a master service agreement (MSA) with Narrative, which then provides access to a rich pool of data from over 70 providers. Rosetta Stone’s automated normalization processes coalesce each provider’s data into the same format, presenting the consumer with a unified data feed as though it were coming from a single source. This streamlined approach simplifies vendor management, reduces reliance on any single vendor, and enhances overall campaign agility.",{"type":20,"tag":21,"props":9880,"children":9881},{},[9882],{"type":25,"value":9883},"Narrative's advanced data collaboration platform not only simplifies the complexity inherent in DOOH advertising but also enhances the effectiveness of campaigns through precise, tailored data strategies. By implementing these technical features, advertisers can optimize their outreach, achieve significant cost savings, and ultimately, drive better engagement and higher impact in their marketing efforts.",{"title":8,"searchDepth":193,"depth":193,"links":9885},[],"content:blog:data-precision-in-digital-out-of-home-advertising.md","blog/data-precision-in-digital-out-of-home-advertising.md","blog/data-precision-in-digital-out-of-home-advertising",{"loc":9742},{"_path":9891,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":9892,"description":9893,"publishDate":9894,"author":3094,"ogImage":9895,"image":9895,"tags":9896,"authorSlug":3099,"body":9897,"_type":195,"_id":10206,"_source":197,"_file":10207,"_stem":10208,"_extension":200,"sitemap":10209},"/blog/data-quality-management-tools","3 data quality management tools to prevent “garbage in, garbage out”","Data quality has become increasingly important as companies depend more on data for business outcomes.  These three companies are building data quality tools to reduce \"garbage in, garbage out.\"","2020-03-04 14:32:45","/img/blog/2020/03/Nick-data-quality-post.png",[3428],{"type":17,"children":9898,"toc":10198},[9899,9905,9910,9922,9932,9942,9960,9965,9970,9975,9980,9985,9990,9995,10001,10020,10025,10030,10058,10063,10073,10084,10089,10094,10099,10104,10110,10140,10145,10151,10162,10180,10185],{"type":20,"tag":223,"props":9900,"children":9902},{"id":9901},"data-quality-is-a-hot-topic-with-data-practitioners-heres-how-three-companies-are-tackling-the-problem-and-what-it-means-to-you",[9903],{"type":25,"value":9904},"Data quality is a hot topic with data practitioners. Here's how three companies are tackling the problem and what it means to you",{"type":20,"tag":21,"props":9906,"children":9907},{},[9908],{"type":25,"value":9909},"Anyone that uses data in their job has heard the saying “garbage in, garbage out.” Put another way, your results are only as good as the data that you use to generate them. This is true whether you’re using Excel for business intelligence or creating machine learning and artificial intelligence models.",{"type":20,"tag":21,"props":9911,"children":9912},{},[9913,9915,9921],{"type":25,"value":9914},"The “garbage in, garbage out” mantra has led to an increased focus on data quality within the enterprise. The topic of data quality is complex. There is no silver bullet when it comes to ensuring that you have access to ",{"type":20,"tag":44,"props":9916,"children":9918},{"href":7980,"rel":9917},[538],[9919],{"type":25,"value":9920},"high quality data",{"type":25,"value":191},{"type":20,"tag":21,"props":9923,"children":9924},{},[9925,9927],{"type":25,"value":9926},"A number of companies are now focusing on data quality management. We’ll explore three of them here to better understand their perspective and their solutions.",{"type":20,"tag":44,"props":9928,"children":9931},{"href":9929,"rel":9930},"https://www.claravine.com/",[538],[],{"type":20,"tag":223,"props":9933,"children":9935},{"id":9934},"claravine",[9936,9940],{"type":20,"tag":44,"props":9937,"children":9939},{"href":9929,"rel":9938},[538],[],{"type":25,"value":9941},"Claravine",{"type":20,"tag":21,"props":9943,"children":9944},{},[9945,9950,9952,9959],{"type":20,"tag":44,"props":9946,"children":9948},{"href":9929,"rel":9947},[538],[9949],{"type":25,"value":9941},{"type":25,"value":9951}," is a startup based in Utah that is taking a proactive approach to data quality. Their solution is focused on making sure that data is structured, standardized, and usable from the get-go by creating a ",{"type":20,"tag":44,"props":9953,"children":9956},{"href":9954,"rel":9955},"https://www.clr.vn/platform-summary",[538],[9957],{"type":25,"value":9958},"standard taxonomy for marketing teams",{"type":25,"value":191},{"type":20,"tag":21,"props":9961,"children":9962},{},[9963],{"type":25,"value":9964},"Much of the data collected within the enterprise is generated by different systems. Unfortunately, there is no way to enforce a common set of \"tags\" across different channels, teams, and digital experiences.",{"type":20,"tag":21,"props":9966,"children":9967},{},[9968],{"type":25,"value":9969},"A simple example of this is Google Analytics (GA). The standard GA tag collects only very simple data about the page (URL, timestamp, IP, etc). GA knows little about page structure and where the user came from.",{"type":20,"tag":21,"props":9971,"children":9972},{},[9973],{"type":25,"value":9974},"To overcome this, companies will employ a tagging strategy to pass additional details to Google Analytics. As a real world example, a retailer might pass in a product SKU or product category to GA. A paid marketing team might tag their landing page URLs letting GA know which campaign a visitor came from.",{"type":20,"tag":21,"props":9976,"children":9977},{},[9978],{"type":25,"value":9979},"Problems of data consistency and data governance are caused by an organization that spans hundreds of people and dozens of teams.",{"type":20,"tag":21,"props":9981,"children":9982},{},[9983],{"type":25,"value":9984},"A retailer might be running a Memorial Day campaign and they need to track the results across paid marketing channels. They may run search programs in-house, use a media agency for display campaigns, and a different agency to manage paid social. The retailer now has at least three teams deploying tags and creating potential data quality issues.",{"type":20,"tag":21,"props":9986,"children":9987},{},[9988],{"type":25,"value":9989},"Without standards and business processes it is likely that the data across all of those sources will not line up. When the data isn’t consistent we’ve created “garbage in.”",{"type":20,"tag":21,"props":9991,"children":9992},{},[9993],{"type":25,"value":9994},"Claravine’s solution is elegant as it acts as the platform of record for tagging standards. In our example, constituents from all three teams can use Claravine’s product to generate and deploy the proper tags. By having a centralized source of truth, consistency and data integrity become trivial.",{"type":20,"tag":223,"props":9996,"children":9998},{"id":9997},"neutronian",[9999],{"type":25,"value":10000},"Neutronian",{"type":20,"tag":21,"props":10002,"children":10003},{},[10004,10010,10012,10019],{"type":20,"tag":44,"props":10005,"children":10008},{"href":10006,"rel":10007},"https://neutronian.com/",[538],[10009],{"type":25,"value":10000},{"type":25,"value":10011}," is a San Francisco-based company focused on bringing trust and transparency to marketing through data quality and compliance verification. Their solution includes a data certification and scoring process that can be thought of as the ",{"type":20,"tag":44,"props":10013,"children":10016},{"href":10014,"rel":10015},"https://neutronian.com/2019/12/09/the-neutronian-manifesto-a-call-to-arms-on-data-quality/",[538],[10017],{"type":25,"value":10018},"FICO Score for data quality",{"type":25,"value":191},{"type":20,"tag":21,"props":10021,"children":10022},{},[10023],{"type":25,"value":10024},"Neutronian takes a comprehensive approach to their definition of data quality. They know that accuracy and utility alone don’t define data quality. Neutronian believes that data quality includes understanding collection methodology, privacy/consent, and the techniques used in modeling the data.",{"type":20,"tag":21,"props":10026,"children":10027},{},[10028],{"type":25,"value":10029},"Their solution includes a deep dive into all aspects of the data supply chain. Neutronian works with suppliers to document a number of different factors including:",{"type":20,"tag":903,"props":10031,"children":10032},{},[10033,10038,10043,10048,10053],{"type":20,"tag":907,"props":10034,"children":10035},{},[10036],{"type":25,"value":10037},"Compliance and regulatory processes",{"type":20,"tag":907,"props":10039,"children":10040},{},[10041],{"type":25,"value":10042},"Data sourcing and provenance",{"type":20,"tag":907,"props":10044,"children":10045},{},[10046],{"type":25,"value":10047},"Data quality control",{"type":20,"tag":907,"props":10049,"children":10050},{},[10051],{"type":25,"value":10052},"Modeling methodology",{"type":20,"tag":907,"props":10054,"children":10055},{},[10056],{"type":25,"value":10057},"Performance characteristics",{"type":20,"tag":21,"props":10059,"children":10060},{},[10061],{"type":25,"value":10062},"By understanding each of these dimensions, Neutronian can score and offer certification to suppliers as to the quality of their data. In addition to their comprehensive audit, they also provide ongoing monitoring in order to help detect any variance from certified standards. Buyers of data then have a precise understanding of what they are getting and confidence that it meets their quality standards.",{"type":20,"tag":223,"props":10064,"children":10066},{"id":10065},"truthset",[10067,10071],{"type":20,"tag":44,"props":10068,"children":10070},{"href":9929,"rel":10069},[538],[],{"type":25,"value":10072},"Truth{set}",{"type":20,"tag":21,"props":10074,"children":10075},{},[10076,10082],{"type":20,"tag":44,"props":10077,"children":10080},{"href":10078,"rel":10079},"https://truthset.io/",[538],[10081],{"type":25,"value":10072},{"type":25,"value":10083}," is a data validation platform, focused exclusively on scoring the accuracy and compliance of people based data.",{"type":20,"tag":21,"props":10085,"children":10086},{},[10087],{"type":25,"value":10088},"Truth{set} helps data buyers discover, evaluate, and activate data with accuracy and compliance thresholds. They allow data sellers to evaluate, optimize, and monetize their data by focusing on quality. Together, they enable transparency and trust in data, powering efficient marketplaces for data.",{"type":20,"tag":21,"props":10090,"children":10091},{},[10092],{"type":25,"value":10093},"Truth{set} establishes “Truthscores” which are numerical scores between 0.00 and 1.00. Truthscores denote the accuracy of identity pairs and people based attributes.",{"type":20,"tag":21,"props":10095,"children":10096},{},[10097],{"type":25,"value":10098},"Truthscores are the product of the wisdom of the crowd algorithms that run across what they call their Truth Partner Network. Truth{set} benefits from access to a diverse array of data owners. In addition, Truth{set} leverages independent truth sets to train and validate Truthscore outputs.",{"type":20,"tag":21,"props":10100,"children":10101},{},[10102],{"type":25,"value":10103},"This leads to higher quality data, increased trust, and compliance in the data supply chain. Truth{set} helps power use cases including marketing, commerce, compliance, and fraud.",{"type":20,"tag":223,"props":10105,"children":10107},{"id":10106},"narratives-take",[10108],{"type":25,"value":10109},"Narrative’s take",{"type":20,"tag":21,"props":10111,"children":10112},{},[10113,10115,10121,10122,10129,10131,10138],{"type":25,"value":10114},"At Narrative, we believe that data quality is table stakes for a well executed data strategy. ",{"type":20,"tag":44,"props":10116,"children":10118},{"href":10117},"ttps://www.narrative.io/roles/business-analysts",[10119],{"type":25,"value":10120},"Data analysts",{"type":25,"value":152},{"type":20,"tag":44,"props":10123,"children":10126},{"href":10124,"rel":10125},"https://www.narrative.io/roles/data-scientists",[538],[10127],{"type":25,"value":10128},"data scientists",{"type":25,"value":10130},", and ",{"type":20,"tag":44,"props":10132,"children":10135},{"href":10133,"rel":10134},"https://www.narrative.io/roles/data-engineer",[538],[10136],{"type":25,"value":10137},"data engineers",{"type":25,"value":10139}," are only as good as their data.",{"type":20,"tag":21,"props":10141,"children":10142},{},[10143],{"type":25,"value":10144},"Our goal from the start has been to create an open and transparent ecosystem. We’re excited to have companies that bring unique approaches to data quality to be part of that ecosystem. We welcome solutions being built by companies like Claravine, Neutronian, and Truth{set} to ensure the vitality of the data economy.",{"type":20,"tag":223,"props":10146,"children":10148},{"id":10147},"summary",[10149],{"type":25,"value":10150},"Summary",{"type":20,"tag":21,"props":10152,"children":10153},{},[10154,10160],{"type":20,"tag":44,"props":10155,"children":10157},{"href":7980,"rel":10156},[538],[10158],{"type":25,"value":10159},"Data quality",{"type":25,"value":10161}," will continue to be top of mind for data practitioners. There exist a number of solutions to help folks ensure that they aren’t putting “garbage in,” avoiding getting “garbage out.” We’ve explored a variety of solutions to the problem including those that:",{"type":20,"tag":903,"props":10163,"children":10164},{},[10165,10170,10175],{"type":20,"tag":907,"props":10166,"children":10167},{},[10168],{"type":25,"value":10169},"Focus on standardizing data collection",{"type":20,"tag":907,"props":10171,"children":10172},{},[10173],{"type":25,"value":10174},"Offer data benchmarking for existing data sets",{"type":20,"tag":907,"props":10176,"children":10177},{},[10178],{"type":25,"value":10179},"That offer data certification programs",{"type":20,"tag":21,"props":10181,"children":10182},{},[10183],{"type":25,"value":10184},"There isn’t a single solution for avoiding data quality problems. We feel that if data practitioners are well informed, they can choose the tools that are right for their specific needs.",{"type":20,"tag":21,"props":10186,"children":10187},{},[10188],{"type":20,"tag":33,"props":10189,"children":10190},{},[10191,10193],{"type":25,"value":10192},"Interested in learning more about how Narrative enables high-quality data acquisition? ",{"type":20,"tag":44,"props":10194,"children":10195},{"href":180},[10196],{"type":25,"value":10197},"Schedule a chat with a member of our team.",{"title":8,"searchDepth":193,"depth":193,"links":10199},[10200,10201,10202,10203,10204,10205],{"id":9901,"depth":380,"text":9904},{"id":9934,"depth":380,"text":9941},{"id":9997,"depth":380,"text":10000},{"id":10065,"depth":380,"text":10072},{"id":10106,"depth":380,"text":10109},{"id":10147,"depth":380,"text":10150},"content:blog:data-quality-management-tools.md","blog/data-quality-management-tools.md","blog/data-quality-management-tools",{"loc":9891},{"_path":337,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":10211,"description":10212,"publishDate":10213,"author":7560,"ogImage":10214,"image":10214,"tags":10215,"body":10216,"_type":195,"_id":10515,"_source":197,"_file":10516,"_stem":10517,"_extension":200,"sitemap":10518},"Launch a custom data exchange with Data Shops","Data Shops is an end-to-end solution for standing up a data business, with tools that make it fast and easy to package, market, sell, and deliver data via a custom-branded e-commerce storefront","2021-07-21 19:54:38","/img/blog/2021/07/Data-Shops-%281%29.png",[609,610],{"type":17,"children":10217,"toc":10498},[10218,10223,10228,10233,10238,10243,10248,10254,10259,10277,10283,10288,10294,10299,10304,10310,10315,10320,10326,10331,10349,10355,10360,10368,10372,10377,10383,10397,10405,10411,10425,10430,10438,10444,10458,10464,10469,10475,10480,10485],{"type":20,"tag":223,"props":10219,"children":10221},{"id":10220},"data-shops-is-an-end-to-end-solution-for-standing-up-a-data-business-with-tools-that-make-it-fast-and-easy-to-package-market-sell-and-deliver-data-via-a-custom-branded-e-commerce-storefront",[10222],{"type":25,"value":10212},{"type":20,"tag":21,"props":10224,"children":10225},{},[10226],{"type":25,"value":10227},"As data becomes increasingly integral to decision-making and growth for every business, many companies are realizing that their data can be an additional source of revenue.",{"type":20,"tag":21,"props":10229,"children":10230},{},[10231],{"type":25,"value":10232},"But building and managing a data business requires significant time and resources. You need data engineers to collect data from silos across the organization, clean it, and package it into data products. You need developers to build the connections to store and deliver the data. And you need a sales and marketing team to go out and find customers for your data products. Finally, you need to make all of these processes scalable and repeatable.",{"type":20,"tag":21,"props":10234,"children":10235},{},[10236],{"type":25,"value":10237},"Until now, these high barriers to entry have limited data monetization to companies with resources to build out and maintain monetization revenue streams, and generally only for deals large enough to justify the operational cost. 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This powerful querying tool allows users to execute queries on the Narrative Data Collaboration Platform with a host of unique features that make data collaboration easier, more secure, and more efficient.",{"type":20,"tag":223,"props":10671,"children":10673},{"id":10672},"the-magic-of-rosetta-stone-attributes",[10674],{"type":25,"value":10675},"The Magic of Rosetta Stone Attributes",{"type":20,"tag":21,"props":10677,"children":10678},{},[10679],{"type":25,"value":10680},"Narrative's Rosetta Stone Attribute technology is what really sets NQL apart. Imagine querying data from multiple organizations as if it all lives in your own table, normalized and ready for analysis. No need to juggle different formats or schemas. Rosetta Stone Attributes make it seamless.",{"type":20,"tag":223,"props":10682,"children":10684},{"id":10683},"permissions-access-rules",[10685],{"type":25,"value":10686},"Permissions & Access Rules",{"type":20,"tag":21,"props":10688,"children":10689},{},[10690],{"type":25,"value":10691},"NQL takes security seriously. All table permissions are governed by Access Rules, which specify:",{"type":20,"tag":903,"props":10693,"children":10694},{},[10695,10700,10705,10710,10715],{"type":20,"tag":907,"props":10696,"children":10697},{},[10698],{"type":25,"value":10699},"The dataset in question",{"type":20,"tag":907,"props":10701,"children":10702},{},[10703],{"type":25,"value":10704},"Authorized users or companies",{"type":20,"tag":907,"props":10706,"children":10707},{},[10708],{"type":25,"value":10709},"Fields in the dataset that can be queried",{"type":20,"tag":907,"props":10711,"children":10712},{},[10713],{"type":25,"value":10714},"Any applicable query cost",{"type":20,"tag":907,"props":10716,"children":10717},{},[10718],{"type":25,"value":10719},"Optional analysis restrictions",{"type":20,"tag":21,"props":10721,"children":10722},{},[10723],{"type":25,"value":10724},"By default, users query against all tables they have permission for, as long as the query aligns with these rules.",{"type":20,"tag":223,"props":10726,"children":10728},{"id":10727},"example-querying-rosetta-stone-attributes-in-nql",[10729],{"type":25,"value":10730},"Example: Querying Rosetta Stone Attributes in NQL",{"type":20,"tag":21,"props":10732,"children":10733},{},[10734],{"type":25,"value":10735},"To showcase the power of NQL, let's execute a query that filters data sourced from multiple suppliers on the platform based on gender and a specific event timestamp while also considering cost control.",{"type":20,"tag":10737,"props":10738,"children":10743},"pre",{"className":10739,"code":10741,"language":10742,"meta":8},[10740],"language-sql","EXPLAIN\nSELECT\n narrative.rosetta_stone.\"unique_id\".\"value\"\n narrative.rosetta_stone.\"hl7_gender\".\"gender\"\nFROM\n narrative.rosetta_stone\nWHERE\n narrative.rosetta_stone.\"hl7_gender\".\"gender\" = 'female'\n AND narrative.rosetta_stone.\"event_timestamp\" > '2023-10-01'\n AND narrative.rosetta_stone._price_cpm_usd \u003C 2.0\n","sql",[10744],{"type":20,"tag":10745,"props":10746,"children":10747},"code",{"__ignoreMap":8},[10748],{"type":25,"value":10741},{"type":20,"tag":223,"props":10750,"children":10752},{"id":10751},"in-this-query-we",[10753],{"type":25,"value":10754},"In this query, we",{"type":20,"tag":903,"props":10756,"children":10757},{},[10758,10763,10768,10773,10778],{"type":20,"tag":907,"props":10759,"children":10760},{},[10761],{"type":25,"value":10762},"Use `EXPLAIN` to forecast the query's cost and data.",{"type":20,"tag":907,"props":10764,"children":10765},{},[10766],{"type":25,"value":10767},"Select the \"unique_id\" and \"gender\" attributes from the narrative.rosetta_stone table, which represents any dataset on the platform that has been mapped to these attributes.",{"type":20,"tag":907,"props":10769,"children":10770},{},[10771],{"type":25,"value":10772},"Filter the results to include only records with a gender value of 'female'.",{"type":20,"tag":907,"props":10774,"children":10775},{},[10776],{"type":25,"value":10777},"Further filter by events that occurred after October 1, 2023.",{"type":20,"tag":907,"props":10779,"children":10780},{},[10781],{"type":25,"value":10782},"Limit cost by specifying a maximum CPM of 2.0 USD.",{"type":20,"tag":21,"props":10784,"children":10785},{},[10786],{"type":25,"value":10787},"By leveraging Rosetta Stone Attributes, we can streamline complex queries and make data collaboration simple and efficient.",{"type":20,"tag":223,"props":10789,"children":10791},{"id":10790},"understanding-normalization-with-rosetta-stone-attributes",[10792],{"type":25,"value":10793},"Understanding Normalization with Rosetta Stone Attributes",{"type":20,"tag":21,"props":10795,"children":10796},{},[10797],{"type":25,"value":10798},"Rosetta Stone's normalization process allows different datasets to be easily integrated. For example, one dataset might have a column named \"gender\" with values 'M' or 'F', while another dataset might have a column named \"is_female\" with boolean values.",{"type":20,"tag":223,"props":10800,"children":10802},{"id":10801},"dataset-1-before-normalization",[10803],{"type":25,"value":10804},"Dataset 1 (before normalization)",{"type":20,"tag":10806,"props":10807,"children":10808},"table",{},[10809,10828],{"type":20,"tag":10810,"props":10811,"children":10812},"thead",{},[10813],{"type":20,"tag":10814,"props":10815,"children":10816},"tr",{},[10817,10823],{"type":20,"tag":10818,"props":10819,"children":10820},"th",{},[10821],{"type":25,"value":10822},"unique_id",{"type":20,"tag":10818,"props":10824,"children":10825},{},[10826],{"type":25,"value":10827},"gender",{"type":20,"tag":10829,"props":10830,"children":10831},"tbody",{},[10832,10846],{"type":20,"tag":10814,"props":10833,"children":10834},{},[10835,10841],{"type":20,"tag":10836,"props":10837,"children":10838},"td",{},[10839],{"type":25,"value":10840},"abc123",{"type":20,"tag":10836,"props":10842,"children":10843},{},[10844],{"type":25,"value":10845},"M",{"type":20,"tag":10814,"props":10847,"children":10848},{},[10849,10854],{"type":20,"tag":10836,"props":10850,"children":10851},{},[10852],{"type":25,"value":10853},"def456",{"type":20,"tag":10836,"props":10855,"children":10856},{},[10857],{"type":25,"value":10858},"F",{"type":20,"tag":223,"props":10860,"children":10862},{"id":10861},"dataset-2-before-normalization",[10863],{"type":25,"value":10864},"Dataset 2 (before normalization)",{"type":20,"tag":10806,"props":10866,"children":10867},{},[10868,10884],{"type":20,"tag":10810,"props":10869,"children":10870},{},[10871],{"type":20,"tag":10814,"props":10872,"children":10873},{},[10874,10879],{"type":20,"tag":10818,"props":10875,"children":10876},{},[10877],{"type":25,"value":10878},"Sha_256_Client_Email",{"type":20,"tag":10818,"props":10880,"children":10881},{},[10882],{"type":25,"value":10883},"is_female",{"type":20,"tag":10829,"props":10885,"children":10886},{},[10887,10904],{"type":20,"tag":10814,"props":10888,"children":10889},{},[10890,10899],{"type":20,"tag":10836,"props":10891,"children":10892},{},[10893],{"type":20,"tag":44,"props":10894,"children":10896},{"href":10895},"mailto:abc123@example.com",[10897],{"type":25,"value":10898},"abc123@example.com",{"type":20,"tag":10836,"props":10900,"children":10901},{},[10902],{"type":25,"value":10903},"false",{"type":20,"tag":10814,"props":10905,"children":10906},{},[10907,10916],{"type":20,"tag":10836,"props":10908,"children":10909},{},[10910],{"type":20,"tag":44,"props":10911,"children":10913},{"href":10912},"mailto:def456@example.com",[10914],{"type":25,"value":10915},"def456@example.com",{"type":20,"tag":10836,"props":10917,"children":10918},{},[10919],{"type":25,"value":10920},"true",{"type":20,"tag":21,"props":10922,"children":10923},{},[10924,10926,10933],{"type":25,"value":10925},"With NQL, you can query both of these datasets using the Narrative ",{"type":20,"tag":44,"props":10927,"children":10930},{"href":10928,"rel":10929},"https://app.narrative.io/attributes/h-l-7-gender-identity",[538],[10931],{"type":25,"value":10932},"HL7 Gender Identity",{"type":25,"value":10934}," attribute, referred to in the NQL statement as \"narrative\".\"rosetta_stone\".\"hl7_gender\".\"gender\".",{"type":20,"tag":223,"props":10936,"children":10938},{"id":10937},"example-joining-rosetta-stone-with-your-company-data",[10939],{"type":25,"value":10940},"Example: Joining Rosetta Stone with Your Company Data",{"type":20,"tag":21,"props":10942,"children":10943},{},[10944],{"type":25,"value":10945},"Imagine a company that wants to create targeted marketing campaigns for female customers who have interacted with their services after a certain date. This query can pull that specific data from the company's own CRM file and the Rosetta Stone, consolidating information into a single, actionable dataset.",{"type":20,"tag":10737,"props":10947,"children":10950},{"className":10948,"code":10949,"language":10742,"meta":8},[10740],"EXPLAIN\nSELECT\n rs.\"unique_id\".\"value\"\n rs.\"hl7_gender\".\"gender\"\n crm.\"Sha_256_Client_Email\"\nFROM\n narrative.rosetta_stone AS rs\nJOIN\n \"company_data\".\"crm_file\" AS crm\nWHERE\n rs.\"hl7_gender\".\"gender\" = 'female'\n AND rs.\"event_timestamp\" > '2023-10-01'\n AND rs._price_cpm_usd \u003C 2.0\n",[10951],{"type":20,"tag":10745,"props":10952,"children":10953},{"__ignoreMap":8},[10954],{"type":25,"value":10949},{"type":20,"tag":21,"props":10956,"children":10957},{},[10958],{"type":25,"value":10959},"In the example query, the JOIN operation combines data from the narrative.rosetta_stone dataset (aliased as rs) with the \"crm_file\" dataset (aliased as cd). The key point here is that the Rosetta Stone dataset is normalized. This means that the data has been preprocessed and standardized to allow seamless integration with other datasets, such as your company data.",{"type":20,"tag":223,"props":10961,"children":10963},{"id":10962},"what-is-going-on-behind-the-scenes",[10964],{"type":25,"value":10965},"What is going on behind the scenes",{"type":20,"tag":21,"props":10967,"children":10968},{},[10969],{"type":25,"value":10970},"Behind the scenes, Narrative is compiling your NQL statement down into the appropriate SQL statement for a given Query Execution Engines. We are launching with support for two Execution Engines (Snowflake SQL, and Apache Spark). We are also normalizing all of the underlying tables that are mapped to a Rosetta Stone attribute at query time, inserting SQL that performs the mapping on your behalf.",{"type":20,"tag":21,"props":10972,"children":10973},{},[10974],{"type":25,"value":10975},"To learn more, reach out to your sales rep to schedule a demo!",{"type":20,"tag":21,"props":10977,"children":10978},{},[10979],{"type":20,"tag":44,"props":10980,"children":10981},{"href":180},[10982],{"type":25,"value":10983},"Start using Narrative's full data collaboration platform.",{"title":8,"searchDepth":193,"depth":193,"links":10985},[10986,10987,10988,10989,10990,10991,10992,10993,10994],{"id":10672,"depth":380,"text":10675},{"id":10683,"depth":380,"text":10686},{"id":10727,"depth":380,"text":10730},{"id":10751,"depth":380,"text":10754},{"id":10790,"depth":380,"text":10793},{"id":10801,"depth":380,"text":10804},{"id":10861,"depth":380,"text":10864},{"id":10937,"depth":380,"text":10940},{"id":10962,"depth":380,"text":10965},"content:blog:deep-dive-nql-narrative-query-language.md","blog/deep-dive-nql-narrative-query-language.md","blog/deep-dive-nql-narrative-query-language",{"loc":10655},{"_path":11000,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":11001,"description":11002,"publishDate":11003,"author":3094,"ogImage":11004,"image":11004,"tags":11005,"authorSlug":3099,"body":11007,"_type":195,"_id":11038,"_source":197,"_file":11039,"_stem":11040,"_extension":200,"sitemap":11041},"/blog/dmp-prisoners-dilemma","The DMP Prisoner's Dilemma","Last week we had the opportunity to present at AdExchanger's San Francisco Programmatic IO Event. The topic was how data strategy can be seen through the lens of the prisoner's dilemma.","2017-04-10 14:51:00","/img/blog/2017/04/nick_on_stage.png",[11006],"conferences",{"type":17,"children":11008,"toc":11035},[11009,11015,11020,11025,11030],{"type":20,"tag":223,"props":11010,"children":11012},{"id":11011},"data-buyers-and-data-sellers-can-both-benefit-if-they-choose-to-collaborate",[11013],{"type":25,"value":11014},"Data buyers and data sellers can both benefit if they choose to collaborate",{"type":20,"tag":21,"props":11016,"children":11017},{},[11018],{"type":25,"value":11019},"Last week I had the opportunity to present at AdExchanger’s San Francisco Programmatic IO Event. The topic was how data strategy can be seen through the lens of the prisoner’s dilemma.",{"type":20,"tag":21,"props":11021,"children":11022},{},[11023],{"type":25,"value":11024},"The gist of the talk is that advertisers and publishers often have competing incentives when it comes to leveraging data in their media strategies. Both sides might be better served by finding ways to cooperate with each other, but it is rare to see this done well in the real world.",{"type":20,"tag":21,"props":11026,"children":11027},{},[11028],{"type":25,"value":11029},"One proposed solution would be to create an independent third party who would effectively hold the publisher’s and advertiser’s data in “escrow” only to release it as a net new data set for the buy that acts in the best interest of both sides.",{"type":20,"tag":21,"props":11031,"children":11032},{},[11033],{"type":25,"value":11034},"While I’m unaware of any such solution that has been widely adopted I’m convinced that as data becomes more prevalent such a solution is needed.",{"title":8,"searchDepth":193,"depth":193,"links":11036},[11037],{"id":11011,"depth":380,"text":11014},"content:blog:dmp-prisoners-dilemma.md","blog/dmp-prisoners-dilemma.md","blog/dmp-prisoners-dilemma",{"loc":11000},{"_path":11043,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":11044,"description":11045,"publishDate":11046,"author":12,"ogImage":11047,"image":11047,"tags":11048,"body":11049,"_type":195,"_id":11292,"_source":197,"_file":11293,"_stem":11294,"_extension":200,"sitemap":11295},"/blog/driving-traffic-to-your-ecommerce-data-store","Driving Traffic to Your E-commerce Data Store","This helpful guide highlights the best methods to drive traffic to your e-commerce data store.","2022-06-15 18:44:03","/img/blog/2022/06/ecommerce-2.png",[609,610,15],{"type":17,"children":11050,"toc":11290},[11051,11070,11075,11084,11094,11099,11104,11122,11131,11144,11156,11165,11170,11182,11191,11203,11222,11231,11236],{"type":20,"tag":21,"props":11052,"children":11053},{},[11054,11056,11061,11063,11068],{"type":25,"value":11055},"Congratulations, you’ve started an ",{"type":20,"tag":44,"props":11057,"children":11058},{"href":566},[11059],{"type":25,"value":11060},"online data store",{"type":25,"value":11062}," and are actively selling your valuable data products! However, getting your ecommerce data shop up and running is only half the battle. Once you’ve created an online shopfront and filled it with ",{"type":20,"tag":44,"props":11064,"children":11065},{"href":823},[11066],{"type":25,"value":11067},"data products",{"type":25,"value":11069},", you’ll have to find ways to make your new business discoverable and drive traffic to your products.",{"type":20,"tag":21,"props":11071,"children":11072},{},[11073],{"type":25,"value":11074},"In this guide to driving traffic to your ecommerce data store, we’ll go over some of the most effective methods that you can practice to improve visibility and findability for your new data business.",{"type":20,"tag":28,"props":11076,"children":11078},{"id":11077},"leverage-social-media-channels",[11079],{"type":20,"tag":33,"props":11080,"children":11081},{},[11082],{"type":25,"value":11083},"Leverage social media channels",{"type":20,"tag":21,"props":11085,"children":11086},{},[11087,11089,11093],{"type":25,"value":11088},"Your current social media audience is a great place to start when you are trying to find interested buyers. Your current followers are already invested in your company and interested in what you do, so they’re more likely to be interested in investigating your new data business venture and purchasing a few ",{"type":20,"tag":44,"props":11090,"children":11091},{"href":823},[11092],{"type":25,"value":11067},{"type":25,"value":191},{"type":20,"tag":21,"props":11095,"children":11096},{},[11097],{"type":25,"value":11098},"To effectively leverage your social media channels, you’ll want to make sure you post on every available channel and grab your audience’s attention with posts that highlight the value and solutions that your data brings to the table. Post about your new data store on your company Twitter, Facebook, Instagram, and LinkedIn, and any other channels you think would generate interest. Craft social media posts that bring attention to how unique and valuable your data is—highlight what new and exciting data products you have stocked your store with and emphasize how easy and fast it is to purchase that data.",{"type":20,"tag":21,"props":11100,"children":11101},{},[11102],{"type":25,"value":11103},"Ask your employees and partners to post about your data store as well, since they are extensions of your network that could draw in new audiences. The more people are posting about and sharing your data store, the more likely your data business will land in front of interested buyers.  ",{"type":20,"tag":21,"props":11105,"children":11106},{},[11107,11109,11114,11116,11120],{"type":25,"value":11108},"You can also try posting about your data store through community channels, like Reddit. You can find “subreddits” on almost any subject, so finding a subreddit that relates to your industry and the data you are selling shouldn’t be too difficult. You can also comment or join discussions on relevant blogs, Twitter threads related to your industry, Facebook groups, Youtube videos that relate to your community, etc. Engaging in an online community and dropping a link here and there to your ",{"type":20,"tag":44,"props":11110,"children":11111},{"href":566},[11112],{"type":25,"value":11113},"data store",{"type":25,"value":11115}," is a great way to leave breadcrumbs for interested buyers to follow and find the ",{"type":20,"tag":44,"props":11117,"children":11118},{"href":823},[11119],{"type":25,"value":11067},{"type":25,"value":11121}," they need.",{"type":20,"tag":28,"props":11123,"children":11125},{"id":11124},"offer-free-data-samples-to-entice-buyers",[11126],{"type":20,"tag":33,"props":11127,"children":11128},{},[11129],{"type":25,"value":11130},"Offer free data samples to entice buyers",{"type":20,"tag":21,"props":11132,"children":11133},{},[11134,11136,11142],{"type":25,"value":11135},"Everybody likes free samples! One way to generate interest and excitement for your data products is to offer small sample data files that allow your customers to test out the quality and compatibility of your data. Promote that you are offering ",{"type":20,"tag":44,"props":11137,"children":11139},{"href":11138},"/blog/zero-cost-data-streams",[11140],{"type":25,"value":11141},"zero-cost samples of data",{"type":25,"value":11143}," to increase the engagement on your data business website and give your customers a taste of the valuable data that you have to offer.",{"type":20,"tag":21,"props":11145,"children":11146},{},[11147,11149,11154],{"type":25,"value":11148},"Once a prospective buyer has tested a free data sample, they are much more likely to turn into a customer, because they’ll trust the data that you are providing and be inclined to purchase other data products as well. Offer a handful of zero-cost data sample products on your ",{"type":20,"tag":44,"props":11150,"children":11151},{"href":566},[11152],{"type":25,"value":11153},"data ecommerce site",{"type":25,"value":11155}," and be sure to make it clear that they are free to use and are a sneak-peek into the data products you offer for sale.",{"type":20,"tag":28,"props":11157,"children":11159},{"id":11158},"bring-attention-to-your-data-business-with-press-opportunities",[11160],{"type":20,"tag":33,"props":11161,"children":11162},{},[11163],{"type":25,"value":11164},"Bring attention to your data business with press opportunities",{"type":20,"tag":21,"props":11166,"children":11167},{},[11168],{"type":25,"value":11169},"The first step to engaging the press with news of your data business is to write and publish a press release. Be sure to publish that press release to your website, social media, and circulate that press release on sites like PR Newswire, eReleases, PR Web, etc. Your business community will be more likely exposed to the news and hopefully check out your new store!",{"type":20,"tag":21,"props":11171,"children":11172},{},[11173,11175,11180],{"type":25,"value":11174},"During press opportunities (like panels, webinars, interviews, podcasts), be sure to mention your new data business and promote the valuable data you offer to buyers in your ",{"type":20,"tag":44,"props":11176,"children":11177},{"href":566},[11178],{"type":25,"value":11179},"ecommerce data storefront",{"type":25,"value":11181},". If you’re invited to speak about your industry or your business, don’t forget to mention the data commerce aspect of your business. It’s a relevant part of your company’s mission and growth, so give it a portion of the spotlight and get people talking.",{"type":20,"tag":28,"props":11183,"children":11185},{"id":11184},"practice-good-seo",[11186],{"type":20,"tag":33,"props":11187,"children":11188},{},[11189],{"type":25,"value":11190},"Practice good SEO",{"type":20,"tag":21,"props":11192,"children":11193},{},[11194,11196,11201],{"type":25,"value":11195},"Search engine optimization, or ",{"type":20,"tag":44,"props":11197,"children":11198},{"href":603},[11199],{"type":25,"value":11200},"SEO",{"type":25,"value":11202},", is the process of adjusting your website to follow the rules that will increase its chances of ranking highly in search engine results. SEO is an important part of any ecommerce store’s success, so you should be aware of the best practices when you are creating your online data shop and the products within it.",{"type":20,"tag":21,"props":11204,"children":11205},{},[11206,11208,11213,11215,11221],{"type":25,"value":11207},"It’s important to make sure you are giving your data products good titles, writing effective meta descriptions for your products that include keywords and key phrases, providing images for each product, and including internal linking to and from product pages and category pages. We’ve also written a great ",{"type":20,"tag":44,"props":11209,"children":11210},{"href":603},[11211],{"type":25,"value":11212},"SEO guide for promoting your data business and products",{"type":25,"value":11214}," that goes more in-depth into SEO best practices and a ",{"type":20,"tag":44,"props":11216,"children":11218},{"href":11217},"/blog/how-to-write-a-good-data-product-description",[11219],{"type":25,"value":11220},"guide to writing effective product descriptions for your data products",{"type":25,"value":191},{"type":20,"tag":28,"props":11223,"children":11225},{"id":11224},"some-other-tricks-to-help-spread-the-word",[11226],{"type":20,"tag":33,"props":11227,"children":11228},{},[11229],{"type":25,"value":11230},"Some other tricks to help spread the word",{"type":20,"tag":21,"props":11232,"children":11233},{},[11234],{"type":25,"value":11235},"Once you’ve leveraged your social media channels, created free data offers, made the most of your press opportunities, and enhanced your SEO, there are still a few things you should be sure to do in order to spread the word that you’re selling valuable data. Here are a few ideas that you should be sure to try:",{"type":20,"tag":903,"props":11237,"children":11238},{},[11239,11244,11249,11254,11259,11264],{"type":20,"tag":907,"props":11240,"children":11241},{},[11242],{"type":25,"value":11243},"Include an announcement about your new data business in your company newsletter.",{"type":20,"tag":907,"props":11245,"children":11246},{},[11247],{"type":25,"value":11248},"Add a new page on your website that links to your data store and offers an explanation on what value your data is bringing to the data commerce world.",{"type":20,"tag":907,"props":11250,"children":11251},{},[11252],{"type":25,"value":11253},"Include a button or link to your data store in your company email signature.",{"type":20,"tag":907,"props":11255,"children":11256},{},[11257],{"type":25,"value":11258},"Send an email announcement about your data business to everyone on your email list.",{"type":20,"tag":907,"props":11260,"children":11261},{},[11262],{"type":25,"value":11263},"Write a blog post about how different companies or industries can use your data.",{"type":20,"tag":907,"props":11265,"children":11266},{},[11267,11269,11272,11277,11278,11286],{"type":25,"value":11268},"Hold a meeting with your entire company or send a company-wide email to explain your new data business and encourage employees to spread the word.",{"type":20,"tag":2006,"props":11270,"children":11271},{},[],{"type":20,"tag":33,"props":11273,"children":11274},{},[11275],{"type":25,"value":11276},"Want to start an ecommerce data business today?",{"type":25,"value":177},{"type":20,"tag":44,"props":11279,"children":11280},{"href":180},[11281],{"type":20,"tag":33,"props":11282,"children":11283},{},[11284],{"type":25,"value":11285},"Our experts can help you get set up in just a few hours",{"type":20,"tag":33,"props":11287,"children":11288},{},[11289],{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":11291},[],"content:blog:driving-traffic-to-your-ecommerce-data-store.md","blog/driving-traffic-to-your-ecommerce-data-store.md","blog/driving-traffic-to-your-ecommerce-data-store",{"loc":11043},{"_path":11297,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":11298,"description":11299,"publishDate":11300,"author":1927,"ogImage":11301,"image":11301,"tags":11302,"authorSlug":1932,"body":11305,"_type":195,"_id":11544,"_source":197,"_file":11545,"_stem":11546,"_extension":200,"sitemap":11547},"/blog/enhancing-data-privacy-and-security-through-ai-driven-data-normalization","Enhancing Data Privacy and Security through AI-Driven Data Normalization with Rosetta Stone","Data normalization isn’t just about clean data—it’s about secure data. Learn how Rosetta Stone automates standardization while reducing risk, protecting privacy, and making compliance easier by design.","2025-03-27T16:13:30.000Z","/img/blog/2025/03/normalization-and-privacy.png",[1262,1263,11303,11304,1264],"data security","data clean room",{"type":17,"children":11306,"toc":11526},[11307,11312,11318,11323,11328,11333,11339,11344,11349,11360,11365,11370,11381,11386,11391,11402,11407,11412,11423,11428,11433,11444,11449,11454,11460,11465,11470,11475,11481,11486,11491,11496,11502,11507,11512],{"type":20,"tag":21,"props":11308,"children":11309},{},[11310],{"type":25,"value":11311},"As data volumes grow and sources diversify, so do the complexities of managing, securing, and utilizing that data effectively. At the intersection of these challenges lies a critical process: data normalization. And with Narrative’s Rosetta Stone, this process is not just simplified—it’s reimagined to enhance data privacy and security at its core.",{"type":20,"tag":1495,"props":11313,"children":11315},{"id":11314},"the-privacy-security-normalization-nexus",[11316],{"type":25,"value":11317},"The Privacy-Security-Normalization Nexus",{"type":20,"tag":21,"props":11319,"children":11320},{},[11321],{"type":25,"value":11322},"Organizations today face a dual imperative. On one hand, they must integrate disparate data from multiple sources to extract business value. On the other, they must safeguard sensitive information and comply with stringent data protection regulations like GDPR, CCPA, and HIPAA. This balancing act becomes exponentially harder when data is unstructured, inconsistently formatted, or difficult to track across systems.",{"type":20,"tag":21,"props":11324,"children":11325},{},[11326],{"type":25,"value":11327},"Data normalization—the process of converting data into a standard, consistent format—is foundational to addressing this challenge. But traditional normalization methods are often manual, brittle, and prone to human error, which not only introduces inefficiencies but also opens up risk vectors.",{"type":20,"tag":21,"props":11329,"children":11330},{},[11331],{"type":25,"value":11332},"That’s where Rosetta Stone comes in.",{"type":20,"tag":1495,"props":11334,"children":11336},{"id":11335},"enter-rosetta-stone-ai-powered-privacy-conscious-normalization",[11337],{"type":25,"value":11338},"Enter Rosetta Stone: AI-Powered, Privacy-Conscious Normalization",{"type":20,"tag":21,"props":11340,"children":11341},{},[11342],{"type":25,"value":11343},"Rosetta Stone is Narrative’s AI-driven data normalization engine, purpose-built to automate the transformation of messy, fragmented data into a standardized, interoperable format. But it’s not just about convenience. By embedding privacy and security principles into the normalization process itself, Rosetta Stone serves as a critical enabler of data governance, risk management, and compliance.",{"type":20,"tag":21,"props":11345,"children":11346},{},[11347],{"type":25,"value":11348},"Here’s how:",{"type":20,"tag":223,"props":11350,"children":11352},{"id":11351},"_1-minimizing-human-exposure-through-automation",[11353,11355],{"type":25,"value":11354},"1. ",{"type":20,"tag":33,"props":11356,"children":11357},{},[11358],{"type":25,"value":11359},"Minimizing Human Exposure through Automation",{"type":20,"tag":21,"props":11361,"children":11362},{},[11363],{"type":25,"value":11364},"Manual normalization processes require analysts and engineers to work directly with raw data, including potentially sensitive or regulated information. Each human touchpoint introduces a potential privacy risk. Rosetta Stone eliminates this by automating normalization at scale.",{"type":20,"tag":21,"props":11366,"children":11367},{},[11368],{"type":25,"value":11369},"By using machine learning models trained on diverse data schemas, Rosetta Stone can map, align, and convert incoming data without requiring deep human involvement. The fewer hands that touch the data, the lower the risk of inadvertent exposure or mishandling.",{"type":20,"tag":223,"props":11371,"children":11373},{"id":11372},"_2-immutable-normalization-rules-for-auditability",[11374,11376],{"type":25,"value":11375},"2. ",{"type":20,"tag":33,"props":11377,"children":11378},{},[11379],{"type":25,"value":11380},"Immutable Normalization Rules for Auditability",{"type":20,"tag":21,"props":11382,"children":11383},{},[11384],{"type":25,"value":11385},"Rosetta Stone leverages a version-controlled system of normalization rules that ensures transparency and traceability. Every transformation applied to a dataset is logged and auditable, providing organizations with a clear lineage of how data was altered.",{"type":20,"tag":21,"props":11387,"children":11388},{},[11389],{"type":25,"value":11390},"This not only aids in debugging or compliance audits but also builds trust with partners and regulators. When questions arise about how specific data points were handled, Rosetta Stone provides a defensible, inspectable answer.",{"type":20,"tag":223,"props":11392,"children":11394},{"id":11393},"_3-built-in-anonymization-and-pseudonymization-support",[11395,11397],{"type":25,"value":11396},"3. ",{"type":20,"tag":33,"props":11398,"children":11399},{},[11400],{"type":25,"value":11401},"Built-In Anonymization and Pseudonymization Support",{"type":20,"tag":21,"props":11403,"children":11404},{},[11405],{"type":25,"value":11406},"Because Rosetta Stone operates on the data pipeline level, it can apply anonymization or pseudonymization techniques as part of the normalization process. For example, if a dataset includes personal identifiers, Rosetta Stone can mask or tokenize those fields during transformation, preserving utility while protecting identity.",{"type":20,"tag":21,"props":11408,"children":11409},{},[11410],{"type":25,"value":11411},"This capability is especially critical for industries like healthcare and finance, where strict privacy mandates limit the use of identifiable information in downstream systems or analytics.",{"type":20,"tag":223,"props":11413,"children":11415},{"id":11414},"_4-schema-governance-and-validation",[11416,11418],{"type":25,"value":11417},"4. ",{"type":20,"tag":33,"props":11419,"children":11420},{},[11421],{"type":25,"value":11422},"Schema Governance and Validation",{"type":20,"tag":21,"props":11424,"children":11425},{},[11426],{"type":25,"value":11427},"Rosetta Stone incorporates schema governance features that ensure only approved data formats and values enter operational systems. This gatekeeping function prevents malformed or non-compliant data from slipping through, reducing downstream risks and maintaining integrity.",{"type":20,"tag":21,"props":11429,"children":11430},{},[11431],{"type":25,"value":11432},"For organizations managing data from partners or third parties, this becomes a powerful control point. Rather than relying on partners to conform to your data standards (a rare occurrence), Rosetta Stone does the heavy lifting to ensure data conforms to internal policy.",{"type":20,"tag":223,"props":11434,"children":11436},{"id":11435},"_5-granular-access-controls-and-policy-enforcement",[11437,11439],{"type":25,"value":11438},"5. ",{"type":20,"tag":33,"props":11440,"children":11441},{},[11442],{"type":25,"value":11443},"Granular Access Controls and Policy Enforcement",{"type":20,"tag":21,"props":11445,"children":11446},{},[11447],{"type":25,"value":11448},"As part of the broader Narrative ecosystem, Rosetta Stone benefits from integration with role-based access control (RBAC) systems and policy enforcement layers. This means that different users or departments can access only the normalized data relevant to their function, with sensitive fields obfuscated or restricted as needed.",{"type":20,"tag":21,"props":11450,"children":11451},{},[11452],{"type":25,"value":11453},"The result is a data pipeline that not only cleans and organizes information but also enforces internal and regulatory privacy policies by design.",{"type":20,"tag":1495,"props":11455,"children":11457},{"id":11456},"real-world-impact-from-risk-reduction-to-strategic-advantage",[11458],{"type":25,"value":11459},"Real-World Impact: From Risk Reduction to Strategic Advantage",{"type":20,"tag":21,"props":11461,"children":11462},{},[11463],{"type":25,"value":11464},"Consider a multinational brand managing consumer behavior data from dozens of sources: CRMs, ad platforms, loyalty programs, in-store sensors, and more. Without normalization, this data remains siloed, inconsistent, and hard to protect. Worse, each integration project requires manual effort, increasing costs and risks.",{"type":20,"tag":21,"props":11466,"children":11467},{},[11468],{"type":25,"value":11469},"By deploying Rosetta Stone, this organization can ingest all incoming datasets into a unified model, with normalization logic applied automatically. Sensitive fields are anonymized in-flight, and all transformations are logged. The result? Not only does the brand accelerate time to insight, but it also drastically reduces the risk of data leakage, non-compliance, and reputational damage.",{"type":20,"tag":21,"props":11471,"children":11472},{},[11473],{"type":25,"value":11474},"For partners and vendors, Rosetta Stone becomes a signal of trust. Data collaborations can be executed more efficiently, with clear rules and protections in place. The company can also demonstrate to regulators that privacy and security are not afterthoughts, but embedded at every stage of the data lifecycle.",{"type":20,"tag":1495,"props":11476,"children":11478},{"id":11477},"the-bigger-picture-building-a-privacy-first-data-culture",[11479],{"type":25,"value":11480},"The Bigger Picture: Building a Privacy-First Data Culture",{"type":20,"tag":21,"props":11482,"children":11483},{},[11484],{"type":25,"value":11485},"In an era of increasing regulatory scrutiny and consumer awareness, privacy and security are no longer checkboxes—they’re competitive differentiators. Organizations that treat data responsibly earn trust, avoid costly fines, and unlock new opportunities for innovation.",{"type":20,"tag":21,"props":11487,"children":11488},{},[11489],{"type":25,"value":11490},"Rosetta Stone supports this transformation by making privacy-conscious normalization the default, not the exception. It allows technical teams to operate faster and more confidently, while giving compliance and legal teams the visibility and control they need.",{"type":20,"tag":21,"props":11492,"children":11493},{},[11494],{"type":25,"value":11495},"Just as the original Rosetta Stone unlocked the ability to understand ancient languages, Narrative’s Rosetta Stone unlocks the ability to understand, utilize, and protect modern data. It bridges silos, eliminates ambiguity, and ensures that every dataset tells a clear, compliant story.",{"type":20,"tag":1495,"props":11497,"children":11499},{"id":11498},"final-thoughts",[11500],{"type":25,"value":11501},"Final Thoughts",{"type":20,"tag":21,"props":11503,"children":11504},{},[11505],{"type":25,"value":11506},"Data normalization isn’t just a technical process—it’s a foundational pillar of privacy and security in the modern enterprise. With Rosetta Stone, organizations gain a robust, AI-powered solution that transforms this pillar into a strategic asset.",{"type":20,"tag":21,"props":11508,"children":11509},{},[11510],{"type":25,"value":11511},"As the data landscape continues to evolve, so too must our approaches to handling it. Rosetta Stone represents a future where data standardization, privacy, and security are not competing priorities but collaborative forces. And for organizations ready to lead with trust, transparency, and technological excellence, that future starts now.",{"type":20,"tag":21,"props":11513,"children":11514},{},[11515,11517],{"type":25,"value":11516},"Ready to take the next step? ",{"type":20,"tag":44,"props":11518,"children":11520},{"href":2150,"rel":11519},[538],[11521],{"type":20,"tag":33,"props":11522,"children":11523},{},[11524],{"type":25,"value":11525},"Let’s make data secure—together.",{"title":8,"searchDepth":193,"depth":193,"links":11527},[11528,11529,11541,11542,11543],{"id":11314,"depth":193,"text":11317},{"id":11335,"depth":193,"text":11338,"children":11530},[11531,11533,11535,11537,11539],{"id":11351,"depth":380,"text":11532},"1. Minimizing Human Exposure through Automation",{"id":11372,"depth":380,"text":11534},"2. Immutable Normalization Rules for Auditability",{"id":11393,"depth":380,"text":11536},"3. Built-In Anonymization and Pseudonymization Support",{"id":11414,"depth":380,"text":11538},"4. Schema Governance and Validation",{"id":11435,"depth":380,"text":11540},"5. Granular Access Controls and Policy Enforcement",{"id":11456,"depth":193,"text":11459},{"id":11477,"depth":193,"text":11480},{"id":11498,"depth":193,"text":11501},"content:blog:enhancing-data-privacy-and-security-through-AI-driven-data-normalization.md","blog/enhancing-data-privacy-and-security-through-AI-driven-data-normalization.md","blog/enhancing-data-privacy-and-security-through-AI-driven-data-normalization",{"loc":11297},{"_path":11549,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":11550,"description":11551,"publishDate":11552,"author":1436,"ogImage":11553,"image":11553,"tags":11554,"authorSlug":1437,"body":11558,"_type":195,"_id":11783,"_source":197,"_file":11784,"_stem":11785,"_extension":200,"sitemap":11786},"/blog/enterprise-single-sign-on","Enterprise SSO Is Here. Your Security Team Will Thank You.","Narrative now supports enterprise Single Sign-On, removing a critical blocker for security reviews and giving IT teams centralized control over platform access.","2025-12-11T09:00:00.000Z","/img/blog/2026/01/sso-blog.png",[11555,11556,11557],"enterprise","security","authentication",{"type":17,"children":11559,"toc":11776},[11560,11565,11612,11617,11622,11627,11633,11638,11648,11658,11668,11678,11684,11689,11694,11699,11704,11710,11715,11720,11725,11731,11736,11741,11746,11752,11764],{"type":20,"tag":21,"props":11561,"children":11562},{},[11563],{"type":25,"value":11564},"Here is a conversation that happens in enterprise procurement every single day:",{"type":20,"tag":21,"props":11566,"children":11567},{},[11568,11573,11575,11580,11582,11586,11588,11592,11594,11598,11600,11604,11606,11610],{"type":20,"tag":33,"props":11569,"children":11570},{},[11571],{"type":25,"value":11572},"Buyer:",{"type":25,"value":11574}," \"We want to use your product.\"\n",{"type":20,"tag":33,"props":11576,"children":11577},{},[11578],{"type":25,"value":11579},"Vendor:",{"type":25,"value":11581}," \"Great, let's get started.\"\n",{"type":20,"tag":33,"props":11583,"children":11584},{},[11585],{"type":25,"value":11572},{"type":25,"value":11587}," \"First, we need you to fill out this security questionnaire.\"\n",{"type":20,"tag":33,"props":11589,"children":11590},{},[11591],{"type":25,"value":11579},{"type":25,"value":11593}," \"No problem.\"\n",{"type":20,"tag":33,"props":11595,"children":11596},{},[11597],{"type":25,"value":11572},{"type":25,"value":11599}," \"Do you support SSO?\"\n",{"type":20,"tag":33,"props":11601,"children":11602},{},[11603],{"type":25,"value":11579},{"type":25,"value":11605}," \"...not yet.\"\n",{"type":20,"tag":33,"props":11607,"children":11608},{},[11609],{"type":25,"value":11572},{"type":25,"value":11611}," \"Call us when you do.\"",{"type":20,"tag":21,"props":11613,"children":11614},{},[11615],{"type":25,"value":11616},"End of conversation. Deal blocked. Months of sales effort stalled by a single checkbox.",{"type":20,"tag":21,"props":11618,"children":11619},{},[11620],{"type":25,"value":11621},"This is the reality of selling into the enterprise. Security teams have veto power, and SSO is non-negotiable. It is table stakes for any SaaS platform handling sensitive data.",{"type":20,"tag":21,"props":11623,"children":11624},{},[11625],{"type":25,"value":11626},"Narrative now supports enterprise Single Sign-On. If SSO was the blocker preventing your organization from adopting our platform, that box is now checked.",{"type":20,"tag":1495,"props":11628,"children":11630},{"id":11629},"why-sso-matters-more-than-you-think",[11631],{"type":25,"value":11632},"Why SSO Matters More Than You Think",{"type":20,"tag":21,"props":11634,"children":11635},{},[11636],{"type":25,"value":11637},"Let's be honest about what SSO actually solves.",{"type":20,"tag":21,"props":11639,"children":11640},{},[11641,11646],{"type":20,"tag":33,"props":11642,"children":11643},{},[11644],{"type":25,"value":11645},"It is not really about convenience.",{"type":25,"value":11647}," Yes, your team logs in with credentials they already know. That is nice. But the real value runs deeper.",{"type":20,"tag":21,"props":11649,"children":11650},{},[11651,11656],{"type":20,"tag":33,"props":11652,"children":11653},{},[11654],{"type":25,"value":11655},"It is about control.",{"type":25,"value":11657}," When an employee leaves your company, you revoke their identity provider access. That single action removes their access to every connected application instantly. No chasing down individual accounts. No security gaps while IT catches up.",{"type":20,"tag":21,"props":11659,"children":11660},{},[11661,11666],{"type":20,"tag":33,"props":11662,"children":11663},{},[11664],{"type":25,"value":11665},"It is about policy enforcement.",{"type":25,"value":11667}," Your organization has invested in MFA, session policies, and authentication controls. With SSO, those policies automatically apply to Narrative. Your security posture extends to every tool your team uses.",{"type":20,"tag":21,"props":11669,"children":11670},{},[11671,11676],{"type":20,"tag":33,"props":11672,"children":11673},{},[11674],{"type":25,"value":11675},"It is about compliance.",{"type":25,"value":11677}," SOC 2, HIPAA, ISO 27001. These frameworks expect centralized authentication. SSO is how you prove that access to sensitive data platforms is managed through your identity infrastructure, not scattered across standalone credentials.",{"type":20,"tag":1495,"props":11679,"children":11681},{"id":11680},"what-changes-for-your-organization",[11682],{"type":25,"value":11683},"What Changes for Your Organization",{"type":20,"tag":21,"props":11685,"children":11686},{},[11687],{"type":25,"value":11688},"For IT and security teams, Narrative now integrates with your existing identity provider. Okta, Azure AD, OneLogin, Google Workspace, PingIdentity. Any SAML 2.0-compliant IdP works.",{"type":20,"tag":21,"props":11690,"children":11691},{},[11692],{"type":25,"value":11693},"Your administrators configure the connection through a self-service portal. No support tickets. No waiting for our team. Setup typically takes under 30 minutes.",{"type":20,"tag":21,"props":11695,"children":11696},{},[11697],{"type":25,"value":11698},"New users get access automatically through just-in-time provisioning. When someone authenticates through your IdP for the first time, their Narrative account is created on the spot. No manual account setup required.",{"type":20,"tag":21,"props":11700,"children":11701},{},[11702],{"type":25,"value":11703},"And if your security policy demands it, you can enforce SSO-only authentication. Disable password fallback entirely. Every login goes through your identity provider.",{"type":20,"tag":1495,"props":11705,"children":11707},{"id":11706},"for-users-nothing-changes-in-a-good-way",[11708],{"type":25,"value":11709},"For Users, Nothing Changes (In a Good Way)",{"type":20,"tag":21,"props":11711,"children":11712},{},[11713],{"type":25,"value":11714},"Your team members will barely notice the difference. They click \"Sign in with SSO,\" enter your organization's identifier, and authenticate through the same login flow they use for every other corporate application.",{"type":20,"tag":21,"props":11716,"children":11717},{},[11718],{"type":25,"value":11719},"No new password to create. No separate credentials to manage. No friction.",{"type":20,"tag":21,"props":11721,"children":11722},{},[11723],{"type":25,"value":11724},"The best security improvements are the ones that make things easier for users while making things harder for attackers. SSO is exactly that.",{"type":20,"tag":1495,"props":11726,"children":11728},{"id":11727},"the-bigger-picture",[11729],{"type":25,"value":11730},"The Bigger Picture",{"type":20,"tag":21,"props":11732,"children":11733},{},[11734],{"type":25,"value":11735},"SSO is foundational infrastructure for enterprise adoption. It signals that a platform takes security seriously and is ready to operate within the constraints that large organizations require.",{"type":20,"tag":21,"props":11737,"children":11738},{},[11739],{"type":25,"value":11740},"For Narrative, this release removes a blocker that affected some of our most promising enterprise conversations. Organizations that were interested in our data collaboration capabilities but could not proceed due to authentication requirements can now move forward.",{"type":20,"tag":21,"props":11742,"children":11743},{},[11744],{"type":25,"value":11745},"If you have been waiting for SSO to approve Narrative for your organization, the wait is over.",{"type":20,"tag":1495,"props":11747,"children":11749},{"id":11748},"learn-more",[11750],{"type":25,"value":11751},"Learn More",{"type":20,"tag":21,"props":11753,"children":11754},{},[11755,11757,11763],{"type":25,"value":11756},"For a complete walkthrough of SSO configuration, including identity provider setup guides and attribute requirements, see our ",{"type":20,"tag":44,"props":11758,"children":11760},{"href":11759},"/knowledge-base/enterprise-features/single-sign-on",[11761],{"type":25,"value":11762},"Enterprise SSO documentation",{"type":25,"value":191},{"type":20,"tag":21,"props":11765,"children":11766},{},[11767,11769,11774],{"type":25,"value":11768},"Ready to connect Narrative to your identity provider? ",{"type":20,"tag":44,"props":11770,"children":11771},{"href":180},[11772],{"type":25,"value":11773},"Contact us",{"type":25,"value":11775}," to discuss your enterprise requirements.",{"title":8,"searchDepth":193,"depth":193,"links":11777},[11778,11779,11780,11781,11782],{"id":11629,"depth":193,"text":11632},{"id":11680,"depth":193,"text":11683},{"id":11706,"depth":193,"text":11709},{"id":11727,"depth":193,"text":11730},{"id":11748,"depth":193,"text":11751},"content:blog:enterprise-single-sign-on.md","blog/enterprise-single-sign-on.md","blog/enterprise-single-sign-on",{"loc":11549},{"_path":46,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":11788,"description":11789,"publishDate":11790,"author":12,"ogImage":11791,"image":11791,"tags":11792,"body":11793,"_type":195,"_id":11986,"_source":197,"_file":11987,"_stem":11988,"_extension":200,"sitemap":11989},"1st-Party Data vs 2nd-Party Data vs 3rd-Party Data: What's the Difference?","There are three types of data that are important for a brand's data strategy: first-party data, second-party data, and third-party data. Learn to differentiate, collect, and apply these types of data.","2021-10-06 20:28:04","/img/blog/2021/10/1st-2nd-3rd-%282%29.png",[3428],{"type":17,"children":11794,"toc":11974},[11795,11800,11806,11811,11816,11822,11827,11836,11841,11853,11859,11864,11869,11875,11880,11891,11897,11902,11908,11913,11925,11931,11942,11948,11953,11959,11964,11969],{"type":20,"tag":21,"props":11796,"children":11797},{},[11798],{"type":25,"value":11799},"Data is the fuel that powers a successful brand strategy in today’s constantly evolving digital landscape; without data, a brand can't lift too far off the ground. Since data contributes significantly to accelerating a brand's growth, it’s critical to master the fundamentals. There are three types of data that are important to understand in order to drive forward an efficient data-driven brand strategy: first-party data, second-party data, and third-party data. Learning to differentiate, collect, and apply these types of data can make or break the future of your brand.",{"type":20,"tag":223,"props":11801,"children":11803},{"id":11802},"what-is-first-party-data",[11804],{"type":25,"value":11805},"What is first-party data?",{"type":20,"tag":21,"props":11807,"children":11808},{},[11809],{"type":25,"value":11810},"First-party data is data that comes straight from the source: your brand’s unique audience and customers. Any information your business collects from its own online and offline sources (your website, app, social media, surveys, etc.) would be considered first-party data. If you owned a coffee shop, collecting first-party data would be like harvesting your own coffee beans. You have complete control over where and how the beans are grown, so you can trust that your coffee beans will make a great cup of coffee (i.e. your homegrown data will filter into a robust brand strategy).",{"type":20,"tag":21,"props":11812,"children":11813},{},[11814],{"type":25,"value":11815},"First-party data is considered the “king” of data, since it is fairly easy to collect, is available to you for free, and is the most relevant to your business. Because there is no question as to where the data came from or how it was collected, first-party data is typically considered to be the highest quality.",{"type":20,"tag":223,"props":11817,"children":11819},{"id":11818},"how-do-you-collect-first-party-data",[11820],{"type":25,"value":11821},"How do you collect first-party data?",{"type":20,"tag":21,"props":11823,"children":11824},{},[11825],{"type":25,"value":11826},"Many companies collect first-party data by adding a pixel to their website, social media, or product pages to track customer behaviors, preferences, and interactions. Brands often also will prompt customers to fill out web forms or complete online surveys in order to gather even more detailed information.",{"type":20,"tag":223,"props":11828,"children":11830},{"id":11829},"how-can-marketers-use-first-party-data",[11831],{"type":20,"tag":33,"props":11832,"children":11833},{},[11834],{"type":25,"value":11835},"How can marketers use first-party data?",{"type":20,"tag":21,"props":11837,"children":11838},{},[11839],{"type":25,"value":11840},"Because first-party data is the most relevant data to your business, it can be used to gain detailed insights to your specific audience in order to create tailor-made experiences for them, display targeted ads, and predict their future patterns. Your customers are directly giving you the information you need to customize their buyer journey and retain them.",{"type":20,"tag":21,"props":11842,"children":11843},{},[11844,11846,11851],{"type":25,"value":11845},"However, ",{"type":20,"tag":44,"props":11847,"children":11848},{"href":8421},[11849],{"type":25,"value":11850},"first-party data rarely gives you enough information",{"type":25,"value":11852}," to get a full understanding of your target audience. It is only a small portion of a grander network of data that is available to marketers. That’s where second-party and third-party data come in!",{"type":20,"tag":223,"props":11854,"children":11856},{"id":11855},"what-is-second-party-data",[11857],{"type":25,"value":11858},"What is second-party data?",{"type":20,"tag":21,"props":11860,"children":11861},{},[11862],{"type":25,"value":11863},"Second-party data is, in a nutshell, someone else’s first-party data. The seller collects data straight from their audience and then allows another company to purchase that first-party data from them directly.",{"type":20,"tag":21,"props":11865,"children":11866},{},[11867],{"type":25,"value":11868},"It’s like purchasing coffee beans from a coffee roaster instead of growing your own coffee beans. As a coffee shop owner, you would reach out to a coffee roaster and negotiate a partnership so that your shop could shelve their coffee beans. Though you wouldn't have been able to oversee the harvesting of the coffee beans yourself, you would still have direct access to important information about where the beans were grown, the conditions they were grown in, and the process they went through before ending up on your shelf.",{"type":20,"tag":223,"props":11870,"children":11872},{"id":11871},"how-do-you-collect-second-party-data",[11873],{"type":25,"value":11874},"How do you collect second-party data?",{"type":20,"tag":21,"props":11876,"children":11877},{},[11878],{"type":25,"value":11879},"To get raw second-party data, brands must seek out companies that have data they need, build a relationship with them, and negotiate a transaction. Though second-party data can be extremely useful, the drawback to collecting this type of data is the time-consuming and labor-intensive process of finding the right companies, forming secure relations, and finalizing purchases.",{"type":20,"tag":21,"props":11881,"children":11882},{},[11883,11885,11889],{"type":25,"value":11884},"This process of selecting a partner is often referred to as a ",{"type":20,"tag":44,"props":11886,"children":11887},{"href":8296},[11888],{"type":25,"value":8299},{"type":25,"value":11890},". Brands must compete against each other by sharing sample datasets, which will be tested for accuracy, match rate, overlap, and scale. Once a data supplier is selected as a “winner,”  legal, finance, and engineering teams must then allocate time and resources to negotiate terms and pricing, draft contracts, and integrate systems. This process can take months or even years to complete. Additionally, when a brand inevitably wants to purchase a new data type from a different supplier, the process must be repeated all over again.",{"type":20,"tag":223,"props":11892,"children":11894},{"id":11893},"how-can-marketers-use-second-party-data",[11895],{"type":25,"value":11896},"How can marketers use second-party data?",{"type":20,"tag":21,"props":11898,"children":11899},{},[11900],{"type":25,"value":11901},"Second-party data allows your brand to access insights you couldn’t get from first-party data alone. With second-party data, you can increase the scale of your data, reach new audiences, and gain a broader understanding of your targeted buyers. Partnering directly with a data originator also gives brands the peace of mind of knowing exactly how and when the data they are buying was collected.",{"type":20,"tag":223,"props":11903,"children":11905},{"id":11904},"what-is-third-party-data",[11906],{"type":25,"value":11907},"What is third-party data?",{"type":20,"tag":21,"props":11909,"children":11910},{},[11911],{"type":25,"value":11912},"Third-party data is data that you buy from a source that is not the original collector of the data. It is often also aggregated data (i.e. instead of getting single origin coffee beans, you're getting a blend). Collecting third-party data is essentially the equivalent of purchasing a multitude of generic coffee blends from a grocery store. The quality of the beans may not be as high as if you had purchased directly from a specific coffee roaster and you won’t be completely sure of the origin of your coffee beans or the journey they went through before arriving at the grocery store you purchased them from. However, you can instantly and easily purchase a large variety of beans, thus appealing to more flavor profiles and developing a well-rounded selection of coffee beans.",{"type":20,"tag":21,"props":11914,"children":11915},{},[11916,11918,11923],{"type":25,"value":11917},"Collecting third-party data is like making a visit to a data grocery store: it's easy and doesn't take much time. However, ",{"type":20,"tag":44,"props":11919,"children":11920},{"href":7810},[11921],{"type":25,"value":11922},"brands sacrifice the transparency",{"type":25,"value":11924}," of knowing exactly how third-party data providers are classifying their consumers, what the source of each data point is, and how they are testing the data for accuracy. Often, third-party data lacks the quality and reliability that brands need in order to confidently use it.",{"type":20,"tag":223,"props":11926,"children":11928},{"id":11927},"how-do-you-collect-third-party-data",[11929],{"type":25,"value":11930},"How do you collect third-party data?",{"type":20,"tag":21,"props":11932,"children":11933},{},[11934,11936,11941],{"type":25,"value":11935},"To obtain third-party data, you need to purchase it from a data broker. These data brokers pay for access to first-party data from a variety of sources and then aggregate this data into large data sets that they then resell to others based on target audience characteristics. While this maximizes scope, there is no way to know the full backstory of third-party data, ",{"type":20,"tag":44,"props":11937,"children":11938},{"href":8421},[11939],{"type":25,"value":11940},"making inaccuracy a huge concern",{"type":25,"value":191},{"type":20,"tag":223,"props":11943,"children":11945},{"id":11944},"how-can-marketers-use-third-party-data",[11946],{"type":25,"value":11947},"How can marketers use third party data?",{"type":20,"tag":21,"props":11949,"children":11950},{},[11951],{"type":25,"value":11952},"While first-party and second-party data are considered more valuable types of data, third-party data provides a large volume and breadth of information that an individual entity simply can’t match. You can use third-party data to vastly expand your audience and gain even more profound insights into the behaviors and interests of a specific customer profile. The downside to third-party data is that you don’t usually know the original source of the data and therefore can’t determine the reliability or accuracy of the data you are applying to your customer profiles.",{"type":20,"tag":223,"props":11954,"children":11956},{"id":11955},"how-does-narrative-create-the-best-of-all-worlds",[11957],{"type":25,"value":11958},"How does Narrative create the best of all worlds?",{"type":20,"tag":21,"props":11960,"children":11961},{},[11962],{"type":25,"value":11963},"Narrative is a data collaboration platform which directly connects data users to data originators and gives both buyers and sellers the best tools to make data transactions transparent, fast, and cost-effective. With Narrative, companies can acquire valuable second-party data directly from numerous data originators all at once. We give you the quality, transparency, and control of second-party data with the ease and scalability of third-party data providers.",{"type":20,"tag":21,"props":11965,"children":11966},{},[11967],{"type":25,"value":11968},"Essentially, we are the artisan coffee supplier of data - we acquire quality coffee beans directly from several trustworthy roasters and deliver those coffee beans straight to the coffee shops that need it without either side having to negotiate. We provide neatly packaged second-party data from a variety of quality sources and make it as fast and easy as possible to purchase and use that data.",{"type":20,"tag":21,"props":11970,"children":11971},{},[11972],{"type":25,"value":11973},"With Narrative, a single integration can give you direct access to tens of billions of quality raw data points. You’ll be able to filter through a wealth of data to find the most relevant and actionable data for your brand, and you’ll be able to determine the exact source and accuracy of each dataset. The best part is that Narrative provides the tools and workflows that transform a historically time-intensive and difficult ordeal into a quick and intuitive process that benefits both data users and data suppliers.",{"title":8,"searchDepth":193,"depth":193,"links":11975},[11976,11977,11978,11979,11980,11981,11982,11983,11984,11985],{"id":11802,"depth":380,"text":11805},{"id":11818,"depth":380,"text":11821},{"id":11829,"depth":380,"text":11835},{"id":11855,"depth":380,"text":11858},{"id":11871,"depth":380,"text":11874},{"id":11893,"depth":380,"text":11896},{"id":11904,"depth":380,"text":11907},{"id":11927,"depth":380,"text":11930},{"id":11944,"depth":380,"text":11947},{"id":11955,"depth":380,"text":11958},"content:blog:first-party-second-party-third-party-data.md","blog/first-party-second-party-third-party-data.md","blog/first-party-second-party-third-party-data",{"loc":46},{"_path":78,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":11991,"description":11992,"publishDate":11993,"author":12,"ogImage":11994,"image":11994,"tags":11995,"body":11996,"_type":195,"_id":12184,"_source":197,"_file":12185,"_stem":12186,"_extension":200,"sitemap":12187},"Gain a Competitive Edge with a New Data Enrichment Strategy","Today's most successful brands have the data to power ultra-specific customer experiences. Gain that competitive advantage with a new data enrichment strategy.","2022-02-09 19:14:18","/img/blog/2022/02/dataenrichment.png",[4365,15],{"type":17,"children":11997,"toc":12182},[11998,12003,12008,12013,12017,12027,12032,12037,12043,12055,12068,12081,12086,12092,12097,12102,12111,12116,12121,12130,12142,12165],{"type":20,"tag":21,"props":11999,"children":12000},{},[12001],{"type":25,"value":12002},"Today’s most successful brands have one thing in common: tons of data. If you’re one of those companies that hasn’t quite learned how to navigate the data boom, you’re falling behind. New upstart D2C companies have been increasingly upstaging legacy brands, and that’s because they have collected the data necessary to power ultra-specific customer insights and interactions.",{"type":20,"tag":21,"props":12004,"children":12005},{},[12006],{"type":25,"value":12007},"If companies want to compete, they need to learn to play the game. But in order to understand your customers even better than your competitors, you’ll need the data that takes you to that next level.",{"type":20,"tag":21,"props":12009,"children":12010},{},[12011],{"type":25,"value":12012},"That’s where data enrichment comes in.",{"type":20,"tag":28,"props":12014,"children":12015},{"id":8206},[12016],{"type":25,"value":8177},{"type":20,"tag":21,"props":12018,"children":12019},{},[12020,12025],{"type":20,"tag":44,"props":12021,"children":12022},{"href":7810},[12023],{"type":25,"value":12024},"Data enrichment",{"type":25,"value":12026}," is the process of incorporating raw data from outside sources to enhance and improve your own first-party data. It is the key to developing insights that are critical to marketing strategies and brand growth.",{"type":20,"tag":21,"props":12028,"children":12029},{},[12030],{"type":25,"value":12031},"Using data from external sources is the only way to fill in the gaps of discovering who your customers are, especially if you haven’t collected massive amounts of internal data yet. With better data accuracy and customer targeting, your company can provide the tailor-made experiences that customers are expecting.",{"type":20,"tag":21,"props":12033,"children":12034},{},[12035],{"type":25,"value":12036},"All successful companies are enriching their data, so how can you gain a competitive advantage if you’ve fallen behind in data collection?",{"type":20,"tag":28,"props":12038,"children":12040},{"id":12039},"acquire-enrichment-data-the-right-way",[12041],{"type":25,"value":12042},"Acquire enrichment data the right way",{"type":20,"tag":21,"props":12044,"children":12045},{},[12046,12048,12053],{"type":25,"value":12047},"To keep up with the data-powered business world, you’ll need to collect lots of data, and you’ll need to do it fast. 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You won’t have straight answers to where the data has come from, how the data was defined, or how well the data was tested for accuracy.",{"type":20,"tag":21,"props":12069,"children":12070},{},[12071,12073,12079],{"type":25,"value":12072},"The competitive solution, which allows your company to access transparent data from numerous sources all at once and acquire that data within a day or two, is to use a ",{"type":20,"tag":44,"props":12074,"children":12076},{"href":772,"rel":12075},[538],[12077],{"type":25,"value":12078},"data collaboration platform",{"type":25,"value":12080},". A data collaboration platform gives you access to a network of quality data providers and provides automated tools that make the data enrichment process easier. You get access to a variety of data and sources, but also can validate the trustworthiness of that data by being able to determine exactly where your data comes from.",{"type":20,"tag":21,"props":12082,"children":12083},{},[12084],{"type":25,"value":12085},"By using a data collaboration platform, you increase speed to market, save money, and reduce risk. In less than a week, you could have access to data from numerous valuable sources that will allow you to find new data types, give your existing data a new edge, and test out new hypotheses that could propel your business in a new direction. It’s a win-win situation that your competitors might not be aware of. But acquiring your data is just the first step.",{"type":20,"tag":28,"props":12087,"children":12089},{"id":12088},"refine-data-segmentation-and-targeting",[12090],{"type":25,"value":12091},"Refine data segmentation and targeting",{"type":20,"tag":21,"props":12093,"children":12094},{},[12095],{"type":25,"value":12096},"With enriched data, you can build more precise audience segments. You’ll want to create a complete view of your unique customers by filling in as many gaps in information as you can. The more you narrow and tighten your data sets to focus on specific target segments, the better success your data enrichment strategies will yield.",{"type":20,"tag":21,"props":12098,"children":12099},{},[12100],{"type":25,"value":12101},"By creating specific target segments, you’ll be able to improve personalization, delivering only relevant and tailored messaging and experiences to your customers. Understanding who your customers are will make it easier to create ads that they’ll want to engage with and customize marketing messages to capture their excitement, which will in turn drive revenue. The more you show your customers that you understand them and provide them with experiences they want, the higher your conversion rates will climb and the lower your ad spend will drop.",{"type":20,"tag":28,"props":12103,"children":12105},{"id":12104},"update-and-monitor-your-data",[12106],{"type":20,"tag":33,"props":12107,"children":12108},{},[12109],{"type":25,"value":12110},"Update and monitor your data",{"type":20,"tag":21,"props":12112,"children":12113},{},[12114],{"type":25,"value":12115},"Data enrichment isn’t a one-and-done endeavor. It’s important to make sure your data is continuously enriched or it will decay and lose all value as it ages. You’ll want freshly enriched data to fuel your analytics and insights in order to properly predict buying behavior.",{"type":20,"tag":21,"props":12117,"children":12118},{},[12119],{"type":25,"value":12120},"Customer purchasing patterns can change quickly and unexpectedly, but staying informed with a constant stream of updated data will ensure you aren’t blindsided. Use the data you collect to continually perform competitive analyses and make sure you aren’t missing out any important insight that your competitors might have.",{"type":20,"tag":28,"props":12122,"children":12124},{"id":12123},"get-the-most-out-of-your-data-enrichment-strategy-with-narrative",[12125],{"type":20,"tag":33,"props":12126,"children":12127},{},[12128],{"type":25,"value":12129},"Get the most out of your data enrichment strategy with Narrative",{"type":20,"tag":21,"props":12131,"children":12132},{},[12133,12135,12140],{"type":25,"value":12134},"With ",{"type":20,"tag":44,"props":12136,"children":12138},{"href":772,"rel":12137},[538],[12139],{"type":25,"value":7181},{"type":25,"value":12141},", you can quickly and easily discover and access new data sources with just a few clicks. You’ll also be able to use cutting-edge software to simplify and streamline the process of acquiring data. It’s the most straightforward and cost-effective way to get the exact data you need to enrich customer profiles. It’s as easy as 4 steps:",{"type":20,"tag":2051,"props":12143,"children":12144},{},[12145,12150,12155,12160],{"type":20,"tag":907,"props":12146,"children":12147},{},[12148],{"type":25,"value":12149},"Onboard your raw first-party data to Narrative’s platform.",{"type":20,"tag":907,"props":12151,"children":12152},{},[12153],{"type":25,"value":12154},"Browse tens of billions of raw data points to find the exact data you need to enrich your customer profiles.",{"type":20,"tag":907,"props":12156,"children":12157},{},[12158],{"type":25,"value":12159},"Use advanced filtering options and automatic deduplication to make sure your data is just right.",{"type":20,"tag":907,"props":12161,"children":12162},{},[12163],{"type":25,"value":12164},"Send your enrichment data to your preferred endpoint.",{"type":20,"tag":21,"props":12166,"children":12167},{},[12168,12173,12174],{"type":20,"tag":33,"props":12169,"children":12170},{},[12171],{"type":25,"value":12172},"Get the competitive edge you need.",{"type":25,"value":177},{"type":20,"tag":44,"props":12175,"children":12176},{"href":180},[12177],{"type":20,"tag":33,"props":12178,"children":12179},{},[12180],{"type":25,"value":12181},"Speak to one of our experts today.",{"title":8,"searchDepth":193,"depth":193,"links":12183},[],"content:blog:gain-a-competitive-edge-with-a-new-data-enrichment-strategy.md","blog/gain-a-competitive-edge-with-a-new-data-enrichment-strategy.md","blog/gain-a-competitive-edge-with-a-new-data-enrichment-strategy",{"loc":78},{"_path":12189,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":12190,"description":12191,"publishDate":12192,"author":3778,"ogImage":12193,"image":12193,"tags":12194,"body":12195,"_type":195,"_id":12295,"_source":197,"_file":12296,"_stem":12297,"_extension":200,"sitemap":12298},"/blog/get-even-deeper-insights-into-your-datasets","Get even deeper insights into your datasets","Dataset Manager is your one stop shop for analyzing and understanding the underlying structure of your data.  ","2022-09-28 13:03:44","/img/blog/2022/09/get-deeper-insights.png",[5976],{"type":17,"children":12196,"toc":12292},[12197,12202,12215,12220,12248,12253,12281],{"type":20,"tag":223,"props":12198,"children":12200},{"id":12199},"dataset-manager-is-your-one-stop-shop-for-analyzing-and-understanding-the-underlying-structure-of-your-data",[12201],{"type":25,"value":12191},{"type":20,"tag":21,"props":12203,"children":12204},{},[12205,12207,12213],{"type":25,"value":12206},"In the ",{"type":20,"tag":44,"props":12208,"children":12211},{"href":12209,"rel":12210},"https://app.narrative.io/apps/dataset-manager",[538],[12212],{"type":25,"value":10394},{"type":25,"value":12214},", a few updates have been made that allow users to gain extra insights into underlying data, troubleshoot dataset ingestion, and easily share data through dataset sample downloads.",{"type":20,"tag":21,"props":12216,"children":12217},{},[12218],{"type":25,"value":12219},"Every dataset has its own page and every page has the ability to:",{"type":20,"tag":903,"props":12221,"children":12222},{},[12223,12228,12233,12238,12243],{"type":20,"tag":907,"props":12224,"children":12225},{},[12226],{"type":25,"value":12227},"See a dataset’s metadata (file type, field types, tags, description, etc)",{"type":20,"tag":907,"props":12229,"children":12230},{},[12231],{"type":25,"value":12232},"Download a sample file for further analysis (in CSV)",{"type":20,"tag":907,"props":12234,"children":12235},{},[12236],{"type":25,"value":12237},"Troubleshoot ingestion issues with an ingestion history queue",{"type":20,"tag":907,"props":12239,"children":12240},{},[12241],{"type":25,"value":12242},"Edit metadata around sensitive fields",{"type":20,"tag":907,"props":12244,"children":12245},{},[12246],{"type":25,"value":12247},"View field-level statistics such as count, min, and max",{"type":20,"tag":21,"props":12249,"children":12250},{},[12251],{"type":25,"value":12252},"With these capabilities, users are able to:",{"type":20,"tag":903,"props":12254,"children":12255},{},[12256,12261,12266,12271,12276],{"type":20,"tag":907,"props":12257,"children":12258},{},[12259],{"type":25,"value":12260},"View basic statistics and sample data for their datasets in order to identify and troubleshoot ingestion problems.",{"type":20,"tag":907,"props":12262,"children":12263},{},[12264],{"type":25,"value":12265},"Download a sample dataset to send to a buyer.",{"type":20,"tag":907,"props":12267,"children":12268},{},[12269],{"type":25,"value":12270},"Mark a field as sensitive that they forgot to mark during ingestion.",{"type":20,"tag":907,"props":12272,"children":12273},{},[12274],{"type":25,"value":12275},"Evaluate individual fields in a dataset to understand completeness and quality.",{"type":20,"tag":907,"props":12277,"children":12278},{},[12279],{"type":25,"value":12280},"Examine the sample data for a dataset that they have purchased, in order to preview and validate the format of the underlying data before downloading or ingesting to their cloud",{"type":20,"tag":21,"props":12282,"children":12283},{},[12284,12286,12291],{"type":25,"value":12285},"Dive deeper into your data. ",{"type":20,"tag":44,"props":12287,"children":12288},{"href":180},[12289],{"type":25,"value":12290},"Our experts will help you get started",{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":12293},[12294],{"id":12199,"depth":380,"text":12191},"content:blog:get-even-deeper-insights-into-your-datasets.md","blog/get-even-deeper-insights-into-your-datasets.md","blog/get-even-deeper-insights-into-your-datasets",{"loc":12189},{"_path":12300,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":12301,"description":12302,"publishDate":12303,"author":3778,"ogImage":12304,"image":12304,"tags":12305,"body":12306,"_type":195,"_id":12365,"_source":197,"_file":12366,"_stem":12367,"_extension":200,"sitemap":12368},"/blog/get-unlimited-geofenced-data-in-your-next-data-order","Get unlimited geofenced data in your next data order","Buyers can now specify geofenced areas as a requirement for their data purchases through Buyer Studio.","2022-07-26 18:00:28","/img/blog/2022/07/6-3.png",[5976],{"type":17,"children":12307,"toc":12363},[12308,12314,12319,12324,12330,12353],{"type":20,"tag":28,"props":12309,"children":12311},{"id":12310},"buyers-can-now-specify-geofenced-areas-as-a-requirement-for-their-data-purchases-throughbuyer-studio",[12312],{"type":25,"value":12313},"Buyers can now specify geofenced areas as a requirement for their data purchases through Buyer Studio",{"type":20,"tag":21,"props":12315,"children":12316},{},[12317],{"type":25,"value":12318},"Instead of being limited to international, federal, and local boundaries such as specific states or countries, you'll now be able to determine the geographic regions that best serve your use case by using points, line-strings, polygons, multipolygons, and multi line-strings to create geofences. There is no limit to the number of geofences you can include in your data order! In fact, users are encouraged to forecast with different geofence quantities until the number of events meets their requirements.  ",{"type":20,"tag":21,"props":12320,"children":12321},{},[12322],{"type":25,"value":12323},"Geofenced data can be used by buyers for a multitude of use cases. For instance, buyers can provide a geofenced region to understand a new market that they are considering entering. Buyers could also provide a list of geofences around the brick and mortar locations of their competitors to target their competition’s customer base. It's also possible to provide a list of geofences around construction projects to understand degrees of fallout if something were to go wrong. These are just a few examples of the many ways geofencing can help you plan, predict, improve, and succeed.",{"type":20,"tag":28,"props":12325,"children":12327},{"id":12326},"heres-how-to-use-it",[12328],{"type":25,"value":12329},"Here’s how to use it",{"type":20,"tag":2051,"props":12331,"children":12332},{},[12333,12338,12343,12348],{"type":20,"tag":907,"props":12334,"children":12335},{},[12336],{"type":25,"value":12337},"Upload a list of your locations into Dataset Manager using CSV, JSON, or Parquet.",{"type":20,"tag":907,"props":12339,"children":12340},{},[12341],{"type":25,"value":12342},"Launch Buyer Studio and select the Geographic POI Attribute (specifically the POI property under the attribute).",{"type":20,"tag":907,"props":12344,"children":12345},{},[12346],{"type":25,"value":12347},"Select other attributes that represent the information you are looking for within each location.",{"type":20,"tag":907,"props":12349,"children":12350},{},[12351],{"type":25,"value":12352},"Filter using the \"Join Dataset\" button and select the dataset with your list of locations.",{"type":20,"tag":21,"props":12354,"children":12355},{},[12356,12358],{"type":25,"value":12357},"Want to start acquiring custom geofenced data? ",{"type":20,"tag":44,"props":12359,"children":12360},{"href":180},[12361],{"type":25,"value":12362},"Get started here.",{"title":8,"searchDepth":193,"depth":193,"links":12364},[],"content:blog:get-unlimited-geofenced-data-in-your-next-data-order.md","blog/get-unlimited-geofenced-data-in-your-next-data-order.md","blog/get-unlimited-geofenced-data-in-your-next-data-order",{"loc":12300},{"_path":12370,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":12371,"description":12372,"publishDate":12373,"author":1259,"ogImage":12374,"image":12374,"tags":12375,"authorSlug":1265,"body":12377,"_type":195,"_id":12602,"_source":197,"_file":12603,"_stem":12604,"_extension":200,"sitemap":12605},"/blog/goodbye-data-brokers-hello-seamless-secure-data-collaboration","Goodbye Brokers and Opaque Data Services – Hello Seamless, Secure Data Collaboration","All organizations need to use and collaborate with data. However, the current ecosystem fails to support the sustainable and impactful use and management of data. Learn how Narrarative helps overcome these obstacles.","2024-07-10 11:47:11","/img/blog/2024/07/narrative-core-technologies.png",[1262,6989,12376],"compliance",{"type":17,"children":12378,"toc":12594},[12379,12385,12408,12413,12418,12424,12441,12458,12475,12492,12508,12525,12531,12536,12542,12547,12553,12578,12584,12589],{"type":20,"tag":223,"props":12380,"children":12382},{"id":12381},"approximately-73-of-b2b-saas-organizations-report-dissatisfaction-with-their-data-platforms",[12383],{"type":25,"value":12384},"Approximately 73% of B2B SaaS organizations report dissatisfaction with their data platforms.",{"type":20,"tag":21,"props":12386,"children":12387},{},[12388,12390,12395,12396,12401,12402,12407],{"type":25,"value":12389},"This dissatisfaction stems primarily from integration challenges, inefficient processes, security concerns, subscription fatigue, and the complexity of managing multiple SaaS solutions simultaneously (Sources:",{"type":20,"tag":2347,"props":12391,"children":12392},{},[12393],{"type":25,"value":12394},"First Page Sage,",{"type":25,"value":177},{"type":20,"tag":2347,"props":12397,"children":12398},{},[12399],{"type":25,"value":12400},"Clodura,",{"type":25,"value":177},{"type":20,"tag":2347,"props":12403,"children":12404},{},[12405],{"type":25,"value":12406},"OpenView)",{"type":25,"value":191},{"type":20,"tag":21,"props":12409,"children":12410},{},[12411],{"type":25,"value":12412},"Overall, the current ecosystem fails to support the sustainable and impactful use and management of data. Key issues include data silos, untrustworthy data brokers, opaque managed services, and disparate, unstandardized data. These factors leave organizations struggling not only to keep up but also to innovate and grow.",{"type":20,"tag":21,"props":12414,"children":12415},{},[12416],{"type":25,"value":12417},"With decades of experience in building and innovating data, B2B, and SaaS platforms, the team at Narrative has identified a handful of core technologies needed to solve these problems. These technologies must be integrated into a single platform to ensure speed, ease of use, flexibility in use and pricing, and most importantly, security. 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NQL simplifies extracting meaningful insights from your data, making it easier to drive informed decisions.\n",{"type":20,"tag":2347,"props":12471,"children":12472},{},[12473],{"type":25,"value":12474},"Learn about NQL",{"type":20,"tag":21,"props":12476,"children":12477},{},[12478,12480,12485,12487],{"type":25,"value":12479},"Imagine automating repetitive tasks like creating taxonomies or building queries or audiences with ease. ",{"type":20,"tag":33,"props":12481,"children":12482},{},[12483],{"type":25,"value":12484},"Rosetta, Narrative’s AI assistant",{"type":25,"value":12486},", uses natural language processing to help you do just that. 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",{"type":20,"tag":33,"props":12514,"children":12515},{},[12516],{"type":25,"value":12517},"Narrative's Connector Framework",{"type":25,"value":12519}," includes a suite of connectors that streamline data movement and integration, making it easier to activate your data across various systems without hassle.\n",{"type":20,"tag":2347,"props":12521,"children":12522},{},[12523],{"type":25,"value":12524},"Explore the Connector Framework",{"type":20,"tag":223,"props":12526,"children":12528},{"id":12527},"when-the-magic-happens",[12529],{"type":25,"value":12530},"When the Magic Happens",{"type":20,"tag":21,"props":12532,"children":12533},{},[12534],{"type":25,"value":12535},"Massive efficiencies and synergy is unlocked when these technologies work together. Imagine having your data automatically normalized, then easily building complex queries with the Query Builder and NQL. Rosetta takes care of repetitive tasks, while Narrative Anywhere ensures your data stays secure. 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",{"type":20,"tag":2347,"props":12566,"children":12567},{},[12568],{"type":25,"value":12569},"Retailers can offer personalized shopping experiences",{"type":25,"value":10130},{"type":20,"tag":2347,"props":12572,"children":12573},{},[12574],{"type":25,"value":12575},"manufacturers can optimize their supply chains",{"type":25,"value":12577},". With Narrative, the possibilities are limitless.",{"type":20,"tag":223,"props":12579,"children":12581},{"id":12580},"redefining-the-data-industry",[12582],{"type":25,"value":12583},"Redefining the Data Industry",{"type":20,"tag":21,"props":12585,"children":12586},{},[12587],{"type":25,"value":12588},"The data industry today is riddled with inefficiencies and lacks transparency. Many organizations still rely on shady data brokers and opaque managed services. Narrative aims to disrupt this status quo by promoting ethical data practices and empowering non-technical users. Our platform fosters a more open and accountable data ecosystem, challenging the dominance of outdated and unethical practices.",{"type":20,"tag":21,"props":12590,"children":12591},{},[12592],{"type":25,"value":12593},"If you're ready to overcome the frustrations of your current data processes and unlock new possibilities, Narrative offers the tools and technologies to transform your approach to data collaboration. Explore how our platform can make a difference in your organization.",{"title":8,"searchDepth":193,"depth":193,"links":12595},[12596,12597,12598,12599,12600,12601],{"id":12381,"depth":380,"text":12384},{"id":12420,"depth":380,"text":12423},{"id":12527,"depth":380,"text":12530},{"id":12538,"depth":380,"text":12541},{"id":12549,"depth":380,"text":12552},{"id":12580,"depth":380,"text":12583},"content:blog:goodbye-data-brokers-hello-seamless-secure-data-collaboration.md","blog/goodbye-data-brokers-hello-seamless-secure-data-collaboration.md","blog/goodbye-data-brokers-hello-seamless-secure-data-collaboration",{"loc":12370},{"_path":12607,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":12608,"description":12609,"publishDate":12610,"author":7560,"tags":12611,"body":12613,"_type":195,"_id":12772,"_source":197,"_file":12773,"_stem":12774,"_extension":200,"sitemap":12775},"/blog/google-dataset-search","Google makes it easier to find relevant datasets via search","Google's latest update makes finding relevant datasets easier than ever. 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Now, when users search for datasets on Google, they’ll see a dedicated section that highlights relevant datasets directly on the search results page.",{"type":20,"tag":21,"props":12639,"children":12640},{},[12641],{"type":20,"tag":1630,"props":12642,"children":12645},{"alt":12643,"src":12644},"google-dataset-search-results","https://solutions.narrative.io/hubfs/email/google-dataset-search-results.png",[],{"type":20,"tag":21,"props":12647,"children":12648},{},[12649],{"type":25,"value":12650},"Previously, users had to use a separate site called Dataset Search to access datasets. This meant that datasets were not as easily discoverable as other information on the internet. 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Specifically, each dataset must be published on a page that contains ",{"type":20,"tag":44,"props":12668,"children":12671},{"href":12669,"rel":12670},"https://developers.google.com/search/docs/appearance/structured-data/dataset",[538],[12672],{"type":25,"value":12673},"schema.org structured metadata",{"type":25,"value":12675}," and displays key elements such as description, license, and temporal and spatial coverage.",{"type":20,"tag":21,"props":12677,"children":12678},{},[12679],{"type":25,"value":12680},"This is where Data Shops comes in.",{"type":20,"tag":1495,"props":12682,"children":12684},{"id":12683},"how-can-narrative-help",[12685],{"type":25,"value":12686},"How can Narrative help?",{"type":20,"tag":21,"props":12688,"children":12689},{},[12690,12694],{"type":20,"tag":44,"props":12691,"children":12692},{"href":566},[12693],{"type":25,"value":340},{"type":25,"value":12695}," is perfectly suited to help data providers take advantage of this new feature and reach new customers on Google. Here are three reasons why:",{"type":20,"tag":223,"props":12697,"children":12699},{"id":12698},"automated-metadata-and-technical-seo",[12700],{"type":25,"value":12701},"Automated metadata and technical SEO",{"type":20,"tag":21,"props":12703,"children":12704},{},[12705],{"type":25,"value":12706},"Data Shops automatically includes relevant metadata and other technical elements to optimize your dataset pages for search engines. This means that you can be confident that your data is structured correctly and will be discoverable on Google's search results page.",{"type":20,"tag":223,"props":12708,"children":12710},{"id":12709},"no-engineering-required",[12711],{"type":25,"value":12712},"No engineering required",{"type":20,"tag":21,"props":12714,"children":12715},{},[12716],{"type":25,"value":12717},"With Data Shops, business users can manage the entire process without relying on technical teams. 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Click here to find out how to ",{"type":20,"tag":44,"props":12735,"children":12736},{"href":337},[12737],{"type":25,"value":12738},"build a custom data web store with Data Shops",{"type":25,"value":191},{"type":20,"tag":1495,"props":12741,"children":12743},{"id":12742},"generate-passive-income-from-your-data",[12744],{"type":25,"value":12745},"Generate passive income from your data",{"type":20,"tag":21,"props":12747,"children":12748},{},[12749],{"type":25,"value":12750},"It's never been easier to generate passive income from the data you already collect. With Data Shops, you can take advantage of Google's latest update and reach new customers who are looking for the data you have to offer.",{"type":20,"tag":21,"props":12752,"children":12753},{},[12754,12755,12760],{"type":25,"value":10489},{"type":20,"tag":44,"props":12756,"children":12757},{"href":180},[12758],{"type":25,"value":12759},"schedule a chat",{"type":25,"value":12761}," with a member of our team.",{"title":8,"searchDepth":193,"depth":193,"links":12763},[12764,12765,12766,12771],{"id":12629,"depth":193,"text":12632},{"id":12653,"depth":193,"text":12656},{"id":12683,"depth":193,"text":12686,"children":12767},[12768,12769,12770],{"id":12698,"depth":380,"text":12701},{"id":12709,"depth":380,"text":12712},{"id":12720,"depth":380,"text":12723},{"id":12742,"depth":193,"text":12745},"content:blog:google-dataset-search.md","blog/google-dataset-search.md","blog/google-dataset-search",{"loc":12607},{"_path":633,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":12777,"description":12778,"publishDate":12779,"author":12,"ogImage":12780,"image":12780,"tags":12781,"body":12782,"_type":195,"_id":14792,"_source":197,"_file":14793,"_stem":14794,"_extension":200,"sitemap":14795},"How to Use Data Shops: A Step-by-Step Guide to Create Your Custom Data Marketplace","An in-depth walkthrough of how to create a custom data marketplace with Narrative's Data Shops. We'll show you what steps to take to launch an online data sales business.","2021-12-08 22:53:12","/img/blog/2021/12/Screen-Shot-2021-12-09-at-1.44.39-PM.png",[609,610,4897],{"type":17,"children":12783,"toc":14765},[12784,12789,12794,12799,12804,12813,12823,12832,12837,12842,12895,12909,12914,12919,12928,12933,12938,12961,12966,12971,12980,12993,13002,13021,13028,13033,13042,13049,13060,13072,13093,13102,13107,13131,13138,13171,13176,13188,13195,13204,13216,13223,13312,13330,13337,13342,13367,13374,13526,13538,13543,13552,13562,13574,13579,13584,13594,13599,13611,13618,13627,13632,13637,13667,13678,13683,13694,13699,13712,13719,13724,13750,13759,13771,13778,13790,13799,13809,13821,13839,13844,13854,13863,13868,13904,13909,13916,13921,13928,13933,13943,13952,13977,13982,13989,13998,14010,14015,14020,14025,14034,14044,14049,14058,14067,14072,14077,14084,14125,14132,14154,14164,14173,14178,14185,14197,14202,14211,14227,14244,14255,14262,14274,14284,14293,14305,14316,14326,14335,14353,14378,14392,14401,14413,14430,14440,14449,14454,14459,14464,14475,14484,14496,14509,14516,14521,14564,14571,14594,14603,14610,14627,14636,14646,14658,14670,14682,14694,14703,14708,14713,14722,14727],{"type":20,"tag":21,"props":12785,"children":12786},{},[12787],{"type":25,"value":12788},"So you want to start a lucrative data business? You’ve come to the right place!",{"type":20,"tag":21,"props":12790,"children":12791},{},[12792],{"type":25,"value":12793},"Launching an e-commerce data business is an exciting way to create a new source of revenue and share your valuable data assets. However, launching your data monetization initiative is not as cut and dried as simply uploading your data onto the internet and then leaving it to generate profit on its own. A successful data business requires the right tools and strategy to give you the best ROI. That's where Data Shops comes in!",{"type":20,"tag":21,"props":12795,"children":12796},{},[12797],{"type":25,"value":12798},"In this walk-through guide on how to build a successful ecommerce data business, I’ll illustrate the best practices for launching your new initiative and I’ll be building my own Data Shop with you as a helpful example.",{"type":20,"tag":21,"props":12800,"children":12801},{},[12802],{"type":25,"value":12803},"Let's get started!",{"type":20,"tag":28,"props":12805,"children":12807},{"id":12806},"step-1-determine-what-data-you-want-to-sell-and-who-your-buyers-are",[12808],{"type":20,"tag":33,"props":12809,"children":12810},{},[12811],{"type":25,"value":12812},"Step 1: Determine What Data You Want to Sell and Who Your Buyers Are",{"type":20,"tag":21,"props":12814,"children":12815},{},[12816],{"type":20,"tag":33,"props":12817,"children":12818},{},[12819],{"type":20,"tag":1630,"props":12820,"children":12822},{"alt":8,"src":12821},"https://lh3.googleusercontent.com/WtKqlRthH3ixoedKXdTnIlckwDY6cmHsqNfof-KlX16kpcwZbKdM_l8t4n6hD9A2dHMGTOYpf_NaP-WNdmoSUmOhIO44pea95kCePM5uc6rq2WLaqvU_SVCmPGGL7HHwGyVJTELD",[],{"type":20,"tag":1495,"props":12824,"children":12826},{"id":12825},"mapping-and-assessing-your-data",[12827],{"type":20,"tag":33,"props":12828,"children":12829},{},[12830],{"type":25,"value":12831},"Mapping and Assessing Your Data",{"type":20,"tag":21,"props":12833,"children":12834},{},[12835],{"type":25,"value":12836},"You are the expert on your own data. When creating your unique data monetization strategy, you should be able to pinpoint the data that is valuable to other organizations. Determine what types of marketable data assets you have and assess their value. Begin with a thorough audit and appraisal of the data you have gathered within your organization. This includes data on processes, transactions, demographics, app usage, geolocation, and any other data that your company accumulates.",{"type":20,"tag":21,"props":12838,"children":12839},{},[12840],{"type":25,"value":12841},"Here are some sample questions you should ask when taking inventory of your data:",{"type":20,"tag":903,"props":12843,"children":12844},{},[12845,12850,12855,12860,12865,12870,12875,12880,12885,12890],{"type":20,"tag":907,"props":12846,"children":12847},{},[12848],{"type":25,"value":12849},"Do you have a comprehensive list of data that you think can be monetized?",{"type":20,"tag":907,"props":12851,"children":12852},{},[12853],{"type":25,"value":12854},"Is the data considered consumer data or personal data?",{"type":20,"tag":907,"props":12856,"children":12857},{},[12858],{"type":25,"value":12859},"How are you collecting information?",{"type":20,"tag":907,"props":12861,"children":12862},{},[12863],{"type":25,"value":12864},"Which systems do those datasets live in?",{"type":20,"tag":907,"props":12866,"children":12867},{},[12868],{"type":25,"value":12869},"What is the format and schema of the data in those systems?",{"type":20,"tag":907,"props":12871,"children":12872},{},[12873],{"type":25,"value":12874},"Is it easy to get the data out of those systems and move them to other platforms?",{"type":20,"tag":907,"props":12876,"children":12877},{},[12878],{"type":25,"value":12879},"How do you approach the value of data? Do you have an idea how much the data you’re looking to monetize is worth to you?",{"type":20,"tag":907,"props":12881,"children":12882},{},[12883],{"type":25,"value":12884},"Do any of the datasets present regulatory risks or challenges?",{"type":20,"tag":907,"props":12886,"children":12887},{},[12888],{"type":25,"value":12889},"How do you think your customers will use the data?",{"type":20,"tag":907,"props":12891,"children":12892},{},[12893],{"type":25,"value":12894},"Will the data be used for marketing purposes?",{"type":20,"tag":21,"props":12896,"children":12897},{},[12898,12900,12907],{"type":25,"value":12899},"Download this ",{"type":20,"tag":44,"props":12901,"children":12904},{"href":12902,"rel":12903},"https://solutions.narrative.io/take-inventory-of-your-data",[538],[12905],{"type":25,"value":12906},"checklist",{"type":25,"value":12908}," to help you take inventory of your data in a strategic way.",{"type":20,"tag":21,"props":12910,"children":12911},{},[12912],{"type":25,"value":12913},"For my Data Shop, I have decided that I want to sell data on chocolate bar ratings from around the world. I’ve acquired a publicly available dataset that contains information on each chocolate bar’s rating, regional origin, percentage of cocoa, the variety of chocolate beans and other ingredients used, and where the beans were grown.",{"type":20,"tag":21,"props":12915,"children":12916},{},[12917],{"type":25,"value":12918},"I will be creating this data shop for illustrative purposes and setting the prices of my data products to zero since the dataset I am using is a publicly available dataset.",{"type":20,"tag":1495,"props":12920,"children":12922},{"id":12921},"envisioning-your-audience",[12923],{"type":20,"tag":33,"props":12924,"children":12925},{},[12926],{"type":25,"value":12927},"Envisioning Your Audience",{"type":20,"tag":21,"props":12929,"children":12930},{},[12931],{"type":25,"value":12932},"Determine which external parties might be interested in purchasing and utilizing your data so that you can craft your data monetization strategy around your potential audience. Look at how your company uses your data internally and imagine how those same techniques might be applied in other organizations. Estimate how much your data is worth to your company and determine if that data valuation would apply externally as well. Ask yourself what types of companies fit the profile of buyers who would consider your data a valuable resource.",{"type":20,"tag":21,"props":12934,"children":12935},{},[12936],{"type":25,"value":12937},"Think about these questions:",{"type":20,"tag":903,"props":12939,"children":12940},{},[12941,12946,12951,12956],{"type":20,"tag":907,"props":12942,"children":12943},{},[12944],{"type":25,"value":12945},"Who would find your data valuable?",{"type":20,"tag":907,"props":12947,"children":12948},{},[12949],{"type":25,"value":12950},"Who would be willing to pay for it?",{"type":20,"tag":907,"props":12952,"children":12953},{},[12954],{"type":25,"value":12955},"In what way is your data valuable? Will it help other organizations cut costs, streamline operations, increase sales, gain insights on customers, or all of the above?",{"type":20,"tag":907,"props":12957,"children":12958},{},[12959],{"type":25,"value":12960},"Would organizations outside of your industry benefit from the data you have?",{"type":20,"tag":21,"props":12962,"children":12963},{},[12964],{"type":25,"value":12965},"Identifying an audience will help you later in your data monetization strategy when you are organizing your data and deciding how to market that data to potential buyers.",{"type":20,"tag":21,"props":12967,"children":12968},{},[12969],{"type":25,"value":12970},"For example, I can envision that the potential buyers for my chocolate bar data might be chocolatiers, candy shops, or grocery stores.",{"type":20,"tag":1495,"props":12972,"children":12974},{"id":12973},"reviewing-policies-laws-regulations",[12975],{"type":20,"tag":33,"props":12976,"children":12977},{},[12978],{"type":25,"value":12979},"Reviewing Policies, Laws & Regulations",{"type":20,"tag":21,"props":12981,"children":12982},{},[12983,12985,12991],{"type":25,"value":12984},"It’s important to be aware of the ",{"type":20,"tag":44,"props":12986,"children":12988},{"href":536,"rel":12987},[538],[12989],{"type":25,"value":12990},"different types of laws, regulations, and other legal issues that surround data monetization",{"type":25,"value":12992},". You should be fully aware of all the rules surrounding data collection and data monetization in order to be sure that the data you are sharing is all above board. These rules have been put in place to make sure that citizens have protections when companies are collecting information about them and force companies to be more diligent when it comes to their data collection practices. Ultimately, they are designed to create a healthier more sustainable ecosystem while protecting the rights of consumers.",{"type":20,"tag":28,"props":12994,"children":12996},{"id":12995},"step-2-upload-optimize-your-raw-data",[12997],{"type":20,"tag":33,"props":12998,"children":12999},{},[13000],{"type":25,"value":13001},"Step 2: Upload & Optimize Your Raw Data",{"type":20,"tag":21,"props":13003,"children":13004},{},[13005,13007,13012,13014,13020],{"type":25,"value":13006},"Now that you have determined what data you want to monetize and who you want to market that data to, the next step is to ingest your data into Narrative’s data collaboration platform using the first app in ",{"type":20,"tag":44,"props":13008,"children":13009},{"href":337},[13010],{"type":25,"value":13011},"Data Shop’s",{"type":25,"value":13013}," suite of apps, ",{"type":20,"tag":44,"props":13015,"children":13017},{"href":10390,"rel":13016},[538],[13018],{"type":25,"value":13019},"Dataset Manager",{"type":25,"value":191},{"type":20,"tag":21,"props":13022,"children":13023},{},[13024],{"type":20,"tag":1630,"props":13025,"children":13027},{"alt":8,"src":13026},"https://lh6.googleusercontent.com/xbRxpzvqpFz0YxpvIzVAxstfaNnsSo2xpysIQxhE3qYttb3C9BW7LFyphGbFsF1MqI-FDAXybAjOVuFEcc_wQRHSEVnwXMySue5iEPE01BV5L9OP6Ieo0dETpfk5DBN_Q12fXwlE",[],{"type":20,"tag":21,"props":13029,"children":13030},{},[13031],{"type":25,"value":13032},"Using Dataset Manager, you’ll be able to create a dataset or multiple datasets reflecting exactly how your data is stored in your native system. Any kind of raw data, in any schema, can be taken exactly as it is stored in your system and pushed into the Narrative platform using Dataset Manager. All you have to do is pull the data from wherever it is stored, upload it into our system, and input the information that will describe your data and make your data discoverable to buyers.",{"type":20,"tag":1495,"props":13034,"children":13036},{"id":13035},"creating-a-new-dataset",[13037],{"type":20,"tag":33,"props":13038,"children":13039},{},[13040],{"type":25,"value":13041},"Creating a New Dataset",{"type":20,"tag":21,"props":13043,"children":13044},{},[13045],{"type":20,"tag":1630,"props":13046,"children":13048},{"alt":8,"src":13047},"https://lh4.googleusercontent.com/Xt-M0Q4fOKYYGQfn6V852G1yaJtzbToICdQMfSrDb87pojRQe3C1NqB6No8TBCia036bZHox99onswy_ZhpY6jioj9L2acXqCNHtFi-FPfNGWtNaEAR3O5e-6Q9VJJWngiFgbcO2",[],{"type":20,"tag":21,"props":13050,"children":13051},{},[13052,13054,13059],{"type":25,"value":13053},"To get started, install and launch Dataset Manager. Then click ",{"type":20,"tag":33,"props":13055,"children":13056},{},[13057],{"type":25,"value":13058},"New Dataset",{"type":25,"value":191},{"type":20,"tag":21,"props":13061,"children":13062},{},[13063,13065,13070],{"type":25,"value":13064},"This will take you to ",{"type":20,"tag":33,"props":13066,"children":13067},{},[13068],{"type":25,"value":13069},"Set Dataset Info.",{"type":25,"value":13071}," On this page, you will be entering information that will help buyers find your dataset when they are searching. It’s important in this step to provide  enough descriptive information and tags that will help with SEO.",{"type":20,"tag":21,"props":13073,"children":13074},{},[13075,13077,13082,13084,13091],{"type":25,"value":13076},"Make sure you select ",{"type":20,"tag":33,"props":13078,"children":13079},{},[13080],{"type":25,"value":13081},"Upload File",{"type":25,"value":13083}," at the top of the page to ensure that Dataset Manager will infer all the ",{"type":20,"tag":44,"props":13085,"children":13088},{"href":13086,"rel":13087},"https://kb.narrative.io/create-a-dataset",[538],[13089],{"type":25,"value":13090},"fields and primitive types",{"type":25,"value":13092}," for you. This way, you don’t have to do any meticulous manual work to get your data ingested into our platform!",{"type":20,"tag":1495,"props":13094,"children":13096},{"id":13095},"describing-your-dataset",[13097],{"type":20,"tag":33,"props":13098,"children":13099},{},[13100],{"type":25,"value":13101},"Describing Your Dataset",{"type":20,"tag":21,"props":13103,"children":13104},{},[13105],{"type":25,"value":13106},"You’ll need to provide descriptive information about your dataset and the fields it contains to identify and differentiate your dataset and fields.",{"type":20,"tag":21,"props":13108,"children":13109},{},[13110,13112,13117,13118,13123,13124,13129],{"type":25,"value":13111},"You must enter a ",{"type":20,"tag":33,"props":13113,"children":13114},{},[13115],{"type":25,"value":13116},"Name,",{"type":25,"value":177},{"type":20,"tag":33,"props":13119,"children":13120},{},[13121],{"type":25,"value":13122},"Description,",{"type":25,"value":160},{"type":20,"tag":33,"props":13125,"children":13126},{},[13127],{"type":25,"value":13128},"Tags",{"type":25,"value":13130}," for your dataset. Make sure that you are labeling and describing each field in a way that makes them easily searchable and findable.",{"type":20,"tag":21,"props":13132,"children":13133},{},[13134],{"type":20,"tag":1630,"props":13135,"children":13137},{"alt":8,"src":13136},"https://lh4.googleusercontent.com/WX4KXrp7UqluzEc35qJTsLePkD6dc0EwwUVbl8-1IBHh-dFtUTLPnNTE0ldoBBAIfCn0IWS4sLEfOAVVoz5ZTk4AqXL3MW60deZcWBHi0t6tCZx7j1kUq5C95v_saFj3SL-N-KV5",[],{"type":20,"tag":903,"props":13139,"children":13140},{},[13141,13151,13161],{"type":20,"tag":907,"props":13142,"children":13143},{},[13144,13149],{"type":20,"tag":33,"props":13145,"children":13146},{},[13147],{"type":25,"value":13148},"Name:",{"type":25,"value":13150}," Enter the name of your dataset. Buyers will never actually interact with this name, but the name you give each dataset will help you find and differentiate each of the datasets you upload on the seller side. I’ve titled my dataset “Chocolate Bar Ratings From Around the World.”",{"type":20,"tag":907,"props":13152,"children":13153},{},[13154,13159],{"type":20,"tag":33,"props":13155,"children":13156},{},[13157],{"type":25,"value":13158},"Description:",{"type":25,"value":13160}," Enter a good description of your dataset that will help you keep track of what is contained within the dataset. For my description, I’ve given a quick but descriptive summary of what type of data I have to offer on each chocolate bar: “Ratings of chocolate bars, based on their regional origin, percentage of cocoa, the variety of chocolate bean and ingredients used, and where the beans were grown.”",{"type":20,"tag":907,"props":13162,"children":13163},{},[13164,13169],{"type":20,"tag":33,"props":13165,"children":13166},{},[13167],{"type":25,"value":13168},"Tags:",{"type":25,"value":13170}," Enter tags that will categorize your data when you are searching through all of the datasets that you will upload in the future. I’ve entered tags such as: chocolate, chocolate bars, cocoa, candy, etc. Be sure to hit the “return” key after you type each tag to save it.",{"type":20,"tag":21,"props":13172,"children":13173},{},[13174],{"type":25,"value":13175},"After providing a description of the dataset, we need to let Dataset Manager know how our data is structured, also known as the schema. You can enter this information manually, but Dataset Manager is also able to infer the schema on its own just by taking a look at a small snippet of your dataset. It’s super easy to do so we’ll be doing it that way.",{"type":20,"tag":21,"props":13177,"children":13178},{},[13179,13181,13186],{"type":25,"value":13180},"If your dataset is bigger than 10 megabytes, just copy the first few hundred rows of data into a new CSV or JSON LD file.  Then you simply drag and drop your chosen file and click ",{"type":20,"tag":33,"props":13182,"children":13183},{},[13184],{"type":25,"value":13185},"Generate Fields",{"type":25,"value":13187}," to successfully upload your sample file and move on to defining your data.",{"type":20,"tag":21,"props":13189,"children":13190},{},[13191],{"type":20,"tag":1630,"props":13192,"children":13194},{"alt":8,"src":13193},"https://lh3.googleusercontent.com/3tyyNnMmrPBO3O3TSuwHIgu1N0in_lpIfxqLfKUnaw4lJ9mSVIdaBstXQpp8IdP1uLY8cRlJ3sVYjKpqCMZEnSUXEUhX-fdWX_6SrAOuDMmUZcq4d0slmGa49rx_rGpA2VVtRE4q",[],{"type":20,"tag":1495,"props":13196,"children":13198},{"id":13197},"defining-your-data",[13199],{"type":20,"tag":33,"props":13200,"children":13201},{},[13202],{"type":25,"value":13203},"Defining Your Data",{"type":20,"tag":21,"props":13205,"children":13206},{},[13207,13209,13214],{"type":25,"value":13208},"You will now be taken to ",{"type":20,"tag":33,"props":13210,"children":13211},{},[13212],{"type":25,"value":13213},"Define Settings",{"type":25,"value":13215},". In this section, you will define the settings of the files containing your data. Dataset Manager has inferred the schema, so you will just have to review this section to make sure your data was inferred correctly and make any changes if you spot a discrepancy. Though this page should be easy to glance at and click through, you should review all of the below sections to ensure everything is correct:",{"type":20,"tag":21,"props":13217,"children":13218},{},[13219],{"type":20,"tag":1630,"props":13220,"children":13222},{"alt":8,"src":13221},"https://lh6.googleusercontent.com/OdaUf3vtYrl_0Ckc5h5q-QuhwpoEbauEl2zteVrBY5Rs9hQDqzeNGLpHWxSaqHrRclCwxjWMsdj08Gd6qezEC7GaZNaMIYt3vf-eCb-x1WQvUjxODGuY6lsFpFzI4Yua5F6EvBTu",[],{"type":20,"tag":903,"props":13224,"children":13225},{},[13226,13236,13246,13256,13266,13276],{"type":20,"tag":907,"props":13227,"children":13228},{},[13229,13234],{"type":20,"tag":33,"props":13230,"children":13231},{},[13232],{"type":25,"value":13233},"File Type:",{"type":25,"value":13235}," This is the way your data is stored and tells the platform how to parse your raw data. Do not change this as the system will never incorrectly infer your file type.",{"type":20,"tag":907,"props":13237,"children":13238},{},[13239,13244],{"type":20,"tag":33,"props":13240,"children":13241},{},[13242],{"type":25,"value":13243},"Header:",{"type":25,"value":13245}," Keep this on if the first row of your file contains field names. Switch this off if it does not contain field names.",{"type":20,"tag":907,"props":13247,"children":13248},{},[13249,13254],{"type":20,"tag":33,"props":13250,"children":13251},{},[13252],{"type":25,"value":13253},"Delimiter:",{"type":25,"value":13255}," Choose from the dropdown menu which character separates the data in your file into distinct fields.",{"type":20,"tag":907,"props":13257,"children":13258},{},[13259,13264],{"type":20,"tag":33,"props":13260,"children":13261},{},[13262],{"type":25,"value":13263},"Escape Character:",{"type":25,"value":13265}," Enter the single character used for escaping quotes inside an already queued value.",{"type":20,"tag":907,"props":13267,"children":13268},{},[13269,13274],{"type":20,"tag":33,"props":13270,"children":13271},{},[13272],{"type":25,"value":13273},"Quote:",{"type":25,"value":13275}," Enter the single character used for escaping quoted values where the separator can be part of the value.",{"type":20,"tag":907,"props":13277,"children":13278},{},[13279,13284,13286],{"type":20,"tag":33,"props":13280,"children":13281},{},[13282],{"type":25,"value":13283},"Write Mode:",{"type":25,"value":13285}," This field informs how to treat new data uploaded to your dataset.",{"type":20,"tag":903,"props":13287,"children":13288},{},[13289,13301],{"type":20,"tag":907,"props":13290,"children":13291},{},[13292,13294,13299],{"type":25,"value":13293},"Select ",{"type":20,"tag":33,"props":13295,"children":13296},{},[13297],{"type":25,"value":13298},"Incremental Updates",{"type":25,"value":13300}," if new data should be added to the end of your dataset.",{"type":20,"tag":907,"props":13302,"children":13303},{},[13304,13305,13310],{"type":25,"value":13293},{"type":20,"tag":33,"props":13306,"children":13307},{},[13308],{"type":25,"value":13309},"Complete File Updates",{"type":25,"value":13311}," if new data should replace your entire dataset.",{"type":20,"tag":21,"props":13313,"children":13314},{},[13315,13317,13321,13323,13328],{"type":25,"value":13316},"Once you have double-checked everything in ",{"type":20,"tag":33,"props":13318,"children":13319},{},[13320],{"type":25,"value":13213},{"type":25,"value":13322},", you can move on to the ",{"type":20,"tag":33,"props":13324,"children":13325},{},[13326],{"type":25,"value":13327},"Define Fields",{"type":25,"value":13329}," section, which will display an automated list of your dataset’s fields.",{"type":20,"tag":21,"props":13331,"children":13332},{},[13333],{"type":20,"tag":1630,"props":13334,"children":13336},{"alt":8,"src":13335},"https://lh3.googleusercontent.com/wQxPEzdZwU4ac_BmGhZZW2Q4UVAREaJkdm0akjopJKlFohqnxeluTvuPlJzIBMyxxx6j8aUjqbeQ25TLRVXKozpuZ2vdBziGGVZerx6ywKFDeVjo2KsNVbiivEEGO91IiHaToPWF",[],{"type":20,"tag":21,"props":13338,"children":13339},{},[13340],{"type":25,"value":13341},"Dataset Manager’s file inference guesses the field names and primitive types of each dataset for you, but you should still check each field for accuracy and be sure to provide a description for each field. Adding a description for each field will further increase the discoverability of your data products and help you and your buyers keep organized.",{"type":20,"tag":21,"props":13343,"children":13344},{},[13345,13347,13352,13354,13359,13361,13365],{"type":25,"value":13346},"In order to edit or delete a field, click on the ellipses in the right-hand corner of the field and choose ",{"type":20,"tag":33,"props":13348,"children":13349},{},[13350],{"type":25,"value":13351},"Edit",{"type":25,"value":13353}," or ",{"type":20,"tag":33,"props":13355,"children":13356},{},[13357],{"type":25,"value":13358},"Delete",{"type":25,"value":13360},". In ",{"type":20,"tag":33,"props":13362,"children":13363},{},[13364],{"type":25,"value":13351},{"type":25,"value":13366},", A dropdown menu will appear. For each field, make sure these sections are filled out and accurate:",{"type":20,"tag":21,"props":13368,"children":13369},{},[13370],{"type":20,"tag":1630,"props":13371,"children":13373},{"alt":8,"src":13372},"https://lh6.googleusercontent.com/FkE4eyquihGGxoXxGwY_eqKZyiqqN24jvPtogzxeF-p5F68HaVUe_YF4l4llB1ayZVS9TxCagAgLghOIuXIj2y2FEvL_JpFL_6-jtAW7r5gsCz7LrW3E8Flv7A9EbN4nptMGajLM",[],{"type":20,"tag":903,"props":13375,"children":13376},{},[13377,13386,13395,13463,13473,13483,13493],{"type":20,"tag":907,"props":13378,"children":13379},{},[13380,13384],{"type":20,"tag":33,"props":13381,"children":13382},{},[13383],{"type":25,"value":13148},{"type":25,"value":13385}," This is the title that identifies the field. A title will be generated for you, but you can amend the title to be more descriptive of each field. The title should not contain spaces or non-alphanumeric characters other than underscores (i.e. cocoa_percent).",{"type":20,"tag":907,"props":13387,"children":13388},{},[13389,13393],{"type":20,"tag":33,"props":13390,"children":13391},{},[13392],{"type":25,"value":13158},{"type":25,"value":13394}," Make sure you provide information about each field to your buyers as it is important for discoverability and distinction. For my chocolate bar brand field, I gave a quick sentence clarifying that this field contains the percentage of cocoa in the chocolate bar being rated.",{"type":20,"tag":907,"props":13396,"children":13397},{},[13398,13403,13405],{"type":20,"tag":33,"props":13399,"children":13400},{},[13401],{"type":25,"value":13402},"Primitive Type:",{"type":25,"value":13404}," Make sure that each primitive type is correct as this controls the filters available to you in other Data Shops apps.",{"type":20,"tag":903,"props":13406,"children":13407},{},[13408,13418,13430,13441,13452],{"type":20,"tag":907,"props":13409,"children":13410},{},[13411,13416],{"type":20,"tag":33,"props":13412,"children":13413},{},[13414],{"type":25,"value":13415},"Boolean-type",{"type":25,"value":13417}," columns will only recognize \"true\" and \"false\" values (case-insensitive, e.g. \"TRUE\" and \"False\" are also ok). Any other value will be ingested as \"null.”",{"type":20,"tag":907,"props":13419,"children":13420},{},[13421,13423,13428],{"type":25,"value":13422},"Choose a ",{"type":20,"tag":33,"props":13424,"children":13425},{},[13426],{"type":25,"value":13427},"string type",{"type":25,"value":13429}," for columns containing text, such as identifiers, even if the identifiers consist of numbers.",{"type":20,"tag":907,"props":13431,"children":13432},{},[13433,13434,13439],{"type":25,"value":13422},{"type":20,"tag":33,"props":13435,"children":13436},{},[13437],{"type":25,"value":13438},"long type",{"type":25,"value":13440}," for integers, e.g. whole numbers and Unix timestamps.",{"type":20,"tag":907,"props":13442,"children":13443},{},[13444,13445,13450],{"type":25,"value":13422},{"type":20,"tag":33,"props":13446,"children":13447},{},[13448],{"type":25,"value":13449},"double type",{"type":25,"value":13451}," for numbers with decimals, e.g. monetary values and coordinates.",{"type":20,"tag":907,"props":13453,"children":13454},{},[13455,13456,13461],{"type":25,"value":13422},{"type":20,"tag":33,"props":13457,"children":13458},{},[13459],{"type":25,"value":13460},"timestamptz type",{"type":25,"value":13462}," for timestamps like \"4/7/2021 11:33:07\". (Choose a long type for Unix timestamps like \"1606694399999\".)",{"type":20,"tag":907,"props":13464,"children":13465},{},[13466,13471],{"type":20,"tag":33,"props":13467,"children":13468},{},[13469],{"type":25,"value":13470},"Required:",{"type":25,"value":13472}," Switch this on if the field must contain a value for a record to be added to your dataset. If this is switched on, any record without a value in the number field is not going to be ingested.",{"type":20,"tag":907,"props":13474,"children":13475},{},[13476,13481],{"type":20,"tag":33,"props":13477,"children":13478},{},[13479],{"type":25,"value":13480},"Sellable:",{"type":25,"value":13482}," Switch this on if you want the field to be made available to buyers. If you turn this field off, you’ll still be able to filter by this field to create data products, but buyers will not receive any of the information contained in this field whenever they buy a data product from your shop",{"type":20,"tag":907,"props":13484,"children":13485},{},[13486,13491],{"type":20,"tag":33,"props":13487,"children":13488},{},[13489],{"type":25,"value":13490},"Approximate Cardinality (Optional):",{"type":25,"value":13492}," This is the estimated unique values in your field. Providing the estimated cardinality of field values will allow your dataset to be stored and processed faster.",{"type":20,"tag":907,"props":13494,"children":13495},{},[13496,13501,13503],{"type":20,"tag":33,"props":13497,"children":13498},{},[13499],{"type":25,"value":13500},"Field Values (Optional):",{"type":25,"value":13502}," You have the option of either setting a list of Predefined Values for your field or leaving it open to accepting Any values.",{"type":20,"tag":903,"props":13504,"children":13505},{},[13506,13516],{"type":20,"tag":907,"props":13507,"children":13508},{},[13509,13514],{"type":20,"tag":33,"props":13510,"children":13511},{},[13512],{"type":25,"value":13513},"Any:",{"type":25,"value":13515}," All values in this field are acceptable for a record to be ingested.",{"type":20,"tag":907,"props":13517,"children":13518},{},[13519,13524],{"type":20,"tag":33,"props":13520,"children":13521},{},[13522],{"type":25,"value":13523},"Predefined Values:",{"type":25,"value":13525}," Only values that you enter will be considered valid. Records with any other values will not be ingested.",{"type":20,"tag":21,"props":13527,"children":13528},{},[13529,13531,13536],{"type":25,"value":13530},"Once you have made sure each field is filled out and accurate, you will set the ",{"type":20,"tag":33,"props":13532,"children":13533},{},[13534],{"type":25,"value":13535},"Primary Column.",{"type":25,"value":13537}," This is the main defining field in your dataset and describes the field that buyers are going to be filtering most often. I have set mine to “company” because it is the main differentiator for each chocolate bar that was rated (buyers will be interested in filtering through which companies had higher rated chocolate bars).",{"type":20,"tag":21,"props":13539,"children":13540},{},[13541],{"type":25,"value":13542},"Now you can continue on to activate your data set**!**",{"type":20,"tag":1495,"props":13544,"children":13546},{"id":13545},"activating-your-dataset",[13547],{"type":20,"tag":33,"props":13548,"children":13549},{},[13550],{"type":25,"value":13551},"Activating Your Dataset",{"type":20,"tag":21,"props":13553,"children":13554},{},[13555],{"type":20,"tag":33,"props":13556,"children":13557},{},[13558],{"type":20,"tag":1630,"props":13559,"children":13561},{"alt":8,"src":13560},"https://lh3.googleusercontent.com/-BSv6lc0Cuan0unV8hMZARHM4rZkhXySAr0WwxOjkzEGhUnAypoEVjdgI5ZUHKgUTcRVB7K7O-pjSzJvO7mCxDul1N3QkWo0V2bB8vjitidiASlkFTVmqvnKJMAn-lMBDhCGtf_Z",[],{"type":20,"tag":21,"props":13563,"children":13564},{},[13565,13567,13572],{"type":25,"value":13566},"You will then be taken to the ",{"type":20,"tag":33,"props":13568,"children":13569},{},[13570],{"type":25,"value":13571},"Review and Activate",{"type":25,"value":13573}," page. This is your final chance to review your dataset before activating it. You will not be able to make changes once your dataset is active.",{"type":20,"tag":21,"props":13575,"children":13576},{},[13577],{"type":25,"value":13578},"If you want to go back to another section to make any changes, simply click the right-hand arrow in the corner of the section you want to revisit.",{"type":20,"tag":21,"props":13580,"children":13581},{},[13582],{"type":25,"value":13583},"Once you have reviewed all of your information and ensured that everything is accurate, you are ready to activate your dataset!",{"type":20,"tag":21,"props":13585,"children":13586},{},[13587,13589],{"type":25,"value":13588},"Click ",{"type":20,"tag":33,"props":13590,"children":13591},{},[13592],{"type":25,"value":13593},"Activate.",{"type":20,"tag":21,"props":13595,"children":13596},{},[13597],{"type":25,"value":13598},"Congratulations! You have now created your first dataset in Dataset Manager!",{"type":20,"tag":21,"props":13600,"children":13601},{},[13602,13604,13609],{"type":25,"value":13603},"You can search through your data lake with the ",{"type":20,"tag":33,"props":13605,"children":13606},{},[13607],{"type":25,"value":13608},"Search",{"type":25,"value":13610}," bar in the left-hand corner of the page and choose how you want your data lake organized with the dropdown menu in the right-hand corner of the page.",{"type":20,"tag":21,"props":13612,"children":13613},{},[13614],{"type":20,"tag":1630,"props":13615,"children":13617},{"alt":8,"src":13616},"https://lh6.googleusercontent.com/t8Ud8TeOwRlOwV9vgHsbHwp7aQEAhMq3PpB9n_q4KpEBjgcMVJbdQdRaSc9Z8-OIKzFFhlvAP6BBixuUpLIjKxsYcVuIMa2xQyQ_DDyupQfI4AfKbqdne7DZ_kvIOZtUHydMStzC",[],{"type":20,"tag":1495,"props":13619,"children":13621},{"id":13620},"ingesting-your-data",[13622],{"type":20,"tag":33,"props":13623,"children":13624},{},[13625],{"type":25,"value":13626},"Ingesting Your Data",{"type":20,"tag":21,"props":13628,"children":13629},{},[13630],{"type":25,"value":13631},"The next step is to add data to your dataset, a process called \"ingestion.”",{"type":20,"tag":21,"props":13633,"children":13634},{},[13635],{"type":25,"value":13636},"Once data is ingested into your dataset, you can use Seller Studio's customizable filters to create, package, and sell different data products on your Data Shop and/or the Data Marketplace.",{"type":20,"tag":21,"props":13638,"children":13639},{},[13640,13642,13649,13650,13657,13659,13666],{"type":25,"value":13641},"To ingest your data, you’ll have to ",{"type":20,"tag":44,"props":13643,"children":13646},{"href":13644,"rel":13645},"https://kb.narrative.io/how-do-i-set-up-a-managed-bucket",[538],[13647],{"type":25,"value":13648},"set up a managed bucket",{"type":25,"value":160},{"type":20,"tag":44,"props":13651,"children":13654},{"href":13652,"rel":13653},"https://kb.narrative.io/how-do-i-ingest-data-using-my-managed-bucket",[538],[13655],{"type":25,"value":13656},"use your managed bucket to upload files for ingestion to your datasets",{"type":25,"value":13658},". Information on how to complete both of these processes is available in ",{"type":20,"tag":44,"props":13660,"children":13663},{"href":13661,"rel":13662},"https://kb.narrative.io/selling-data",[538],[13664],{"type":25,"value":13665},"Narrative's Knowledge Base",{"type":25,"value":191},{"type":20,"tag":28,"props":13668,"children":13670},{"id":13669},"step-3-create-buyable-data-products",[13671,13676],{"type":20,"tag":33,"props":13672,"children":13673},{},[13674],{"type":25,"value":13675},"Step 3: Create Buyable Data Products",{"type":25,"value":13677},"  ",{"type":20,"tag":21,"props":13679,"children":13680},{},[13681],{"type":25,"value":13682},"Now that your data has been ingested, it’s time to create some products and give your buyers access to the data you want to sell.",{"type":20,"tag":21,"props":13684,"children":13685},{},[13686,13688,13692],{"type":25,"value":13687},"All of the data you have ingested can be divided and packaged into products that you think your customers would like to buy individually - these are called ",{"type":20,"tag":33,"props":13689,"children":13690},{},[13691],{"type":25,"value":4896},{"type":25,"value":13693},". Each data stream you create is a specific set of attributes that you pull from your original dataset and make available to your buyers.",{"type":20,"tag":21,"props":13695,"children":13696},{},[13697],{"type":25,"value":13698},"For instance, some of my data could be organized into products like: Women’s Rating for Chocolate Bars, Argentinian Chocolate Bar Ratings, American Men Aged 18-34 Ratings for Chocolate Bars, etc. You can be as specific as you would like to be and create as many products as you want.",{"type":20,"tag":21,"props":13700,"children":13701},{},[13702,13704,13710],{"type":25,"value":13703},"To start creating products, we’ll be using the ",{"type":20,"tag":44,"props":13705,"children":13707},{"href":10418,"rel":13706},[538],[13708],{"type":25,"value":13709},"Seller Studio",{"type":25,"value":13711}," app.",{"type":20,"tag":21,"props":13713,"children":13714},{},[13715],{"type":20,"tag":1630,"props":13716,"children":13718},{"alt":8,"src":13717},"https://lh4.googleusercontent.com/n2RnE9SszhTqWH8Tk5WnT6-VFpWZc8EY0QCjshSPs8IX7kUk6sJNN-mfluBuNmdfORfMH4v8kFXSNXTME8TkIqq3LNVJKzJzJXRF13kih9b3s2bFkGKFEAkrMnZammlxxm-lau-3",[],{"type":20,"tag":21,"props":13720,"children":13721},{},[13722],{"type":25,"value":13723},"You can do two things in Seller Studio:",{"type":20,"tag":2051,"props":13725,"children":13726},{},[13727,13738],{"type":20,"tag":907,"props":13728,"children":13729},{},[13730,13732,13736],{"type":25,"value":13731},"Create prepackaged products, or ",{"type":20,"tag":33,"props":13733,"children":13734},{},[13735],{"type":25,"value":4896},{"type":25,"value":13737},", that can be added to a cart for an eCommerce-style of buying.",{"type":20,"tag":907,"props":13739,"children":13740},{},[13741,13743,13748],{"type":25,"value":13742},"Manage custom access to your data by creating ",{"type":20,"tag":33,"props":13744,"children":13745},{},[13746],{"type":25,"value":13747},"access rules",{"type":25,"value":13749}," for enterprise buyers to create their own data streams (and potentially buy from more than one seller at a time).",{"type":20,"tag":1495,"props":13751,"children":13753},{"id":13752},"creating-data-streams",[13754],{"type":20,"tag":33,"props":13755,"children":13756},{},[13757],{"type":25,"value":13758},"Creating Data Streams",{"type":20,"tag":21,"props":13760,"children":13761},{},[13762,13764,13769],{"type":25,"value":13763},"To create a pre-packaged product of your own, click ",{"type":20,"tag":33,"props":13765,"children":13766},{},[13767],{"type":25,"value":13768},"New Data Stream.",{"type":25,"value":13770}," A list will appear of all the datasets you’ve already set up with Dataset Manager. Select which dataset you would like to turn into a product. Most sellers can create tens or hundreds of data streams from just one dataset.",{"type":20,"tag":21,"props":13772,"children":13773},{},[13774],{"type":20,"tag":1630,"props":13775,"children":13777},{"alt":8,"src":13776},"https://lh5.googleusercontent.com/REefAurA7H2Q1s1dhsyhV5DmqH3bGydI2tgPM1HTADYc7ke9oI1vIuJvU_lIkfowrueCu00B_rLEoj7I3t5nVb-25Svz8VkDoDTC0Hl73Jt0Hik0_CnO3qvaEwywiBasmfi_0ald",[],{"type":20,"tag":21,"props":13779,"children":13780},{},[13781,13783,13788],{"type":25,"value":13782},"Once you have selected a dataset, you’ll be taken to ",{"type":20,"tag":33,"props":13784,"children":13785},{},[13786],{"type":25,"value":13787},"Choose Columns",{"type":25,"value":13789},". Here, you can choose exactly which fields will be delivered to someone who is buying your dataset and make fields within your dataset filterable.",{"type":20,"tag":1495,"props":13791,"children":13793},{"id":13792},"specifying-deliverability-and-filterability",[13794],{"type":20,"tag":33,"props":13795,"children":13796},{},[13797],{"type":25,"value":13798},"Specifying Deliverability and Filterability",{"type":20,"tag":21,"props":13800,"children":13801},{},[13802],{"type":20,"tag":33,"props":13803,"children":13804},{},[13805],{"type":20,"tag":1630,"props":13806,"children":13808},{"alt":8,"src":13807},"https://lh3.googleusercontent.com/TTwvsp5NPIyyQ6Te8iecR7MSSKaU9ZnnJwkZXbmJ-xvA-dCjg3APjNrCsvRIzwrpmyIe1LBrUraBQ4E_HWJ810UQ-YB8QSqkICWjCpPT45ytVfm4XnEzqiHgFAxsYURsUloYpMjy",[],{"type":20,"tag":21,"props":13810,"children":13811},{},[13812,13814,13819],{"type":25,"value":13813},"Specify the fields you want to be delivered to your buyers by keeping ",{"type":20,"tag":33,"props":13815,"children":13816},{},[13817],{"type":25,"value":13818},"Delivered",{"type":25,"value":13820}," switched on and switching it off for any fields that you don’t want buyers to receive. A field that is not deliverable will not be sent to a buyer.",{"type":20,"tag":21,"props":13822,"children":13823},{},[13824,13826,13831,13833,13837],{"type":25,"value":13825},"If you want to specify a subset of your dataset that is going to be included in the data stream, you can choose to make each field filterable by keeping ",{"type":20,"tag":33,"props":13827,"children":13828},{},[13829],{"type":25,"value":13830},"Filterable",{"type":25,"value":13832}," switched on. If you want to leave something unbounded and include all the records no matter what the field contains, turn off the ",{"type":20,"tag":33,"props":13834,"children":13835},{},[13836],{"type":25,"value":13830},{"type":25,"value":13838}," option.",{"type":20,"tag":21,"props":13840,"children":13841},{},[13842],{"type":25,"value":13843},"I’ve chosen to make all of my fields deliverable and filterable to give my buyers the most options and myself the most customizability.",{"type":20,"tag":21,"props":13845,"children":13846},{},[13847,13849],{"type":25,"value":13848},"Continue to ",{"type":20,"tag":33,"props":13850,"children":13851},{},[13852],{"type":25,"value":13853},"Apply Filters.",{"type":20,"tag":1495,"props":13855,"children":13857},{"id":13856},"setting-smart-filters-based-on-your-dataset",[13858],{"type":20,"tag":33,"props":13859,"children":13860},{},[13861],{"type":25,"value":13862},"Setting Smart Filters Based on Your Dataset",{"type":20,"tag":21,"props":13864,"children":13865},{},[13866],{"type":25,"value":13867},"Depending on the dataset you created in Dataset Manager, our user interface will generate smart filters based on the primitive type of each field.",{"type":20,"tag":21,"props":13869,"children":13870},{},[13871,13873,13878,13879,13884,13885,13890,13892,13896,13898,13902],{"type":25,"value":13872},"You’ll be able to select the data you want to include in each field by choosing from ",{"type":20,"tag":33,"props":13874,"children":13875},{},[13876],{"type":25,"value":13877},"Include all values",{"type":25,"value":152},{"type":20,"tag":33,"props":13880,"children":13881},{},[13882],{"type":25,"value":13883},"Include if present",{"type":25,"value":4870},{"type":20,"tag":33,"props":13886,"children":13887},{},[13888],{"type":25,"value":13889},"Custom",{"type":25,"value":13891},". Using these filters, you’ll be able to make each field as specific as you want. ",{"type":20,"tag":33,"props":13893,"children":13894},{},[13895],{"type":25,"value":13883},{"type":25,"value":13897}," will make sure a value exists in that row of data in order to include it in your product. ",{"type":20,"tag":33,"props":13899,"children":13900},{},[13901],{"type":25,"value":13889},{"type":25,"value":13903}," allows you to include or exclude any values you choose to list.",{"type":20,"tag":21,"props":13905,"children":13906},{},[13907],{"type":25,"value":13908},"For instance, if I want to create a data product that only features chocolate bar rating data from USA or Canada based companies, I would be sure to specify that in my “company_location” field:",{"type":20,"tag":21,"props":13910,"children":13911},{},[13912],{"type":20,"tag":1630,"props":13913,"children":13915},{"alt":8,"src":13914},"https://lh3.googleusercontent.com/PjKxIaA9b2j2wpx8v179fldgJ01pUi_0AJW9gys6upQGZ99njGrXwZZwGFrfdARxEMfZqmIdSsyaMu0u3kSyv2vqJUfzMpiYz-0ublGM76j_MlWU6_mSJDf4EO8M9BYiwm01mVW-",[],{"type":20,"tag":21,"props":13917,"children":13918},{},[13919],{"type":25,"value":13920},"I could also specify that I only want chocolate bar ratings for chocolate bars that contain between fifty percent cocoa and seventy-five percent cocoa:",{"type":20,"tag":21,"props":13922,"children":13923},{},[13924],{"type":20,"tag":1630,"props":13925,"children":13927},{"alt":8,"src":13926},"https://lh4.googleusercontent.com/KRp29CKKynFQj_hf5X5W0oxkOZoZx3JjMhR1S1hQqPVi3jZKgcnt5y2Sv_fpLAEJU8DtCEa4cX19WSBlZbex2OjjygsepFgy3HtOh8CwlR7WgX95xj7rejPB8V2FfGbNKFVUDPfN",[],{"type":20,"tag":21,"props":13929,"children":13930},{},[13931],{"type":25,"value":13932},"You can create a data product based on any attributes you choose to modify or you can leave everything exactly as it is and allow your buyers to access all of your dataset’s data in one bundle.",{"type":20,"tag":21,"props":13934,"children":13935},{},[13936,13938],{"type":25,"value":13937},"Once you’ve made your modifications and organized the data into a product you’re happy with, continue on to ",{"type":20,"tag":33,"props":13939,"children":13940},{},[13941],{"type":25,"value":13942},"Set Offers.",{"type":20,"tag":1495,"props":13944,"children":13946},{"id":13945},"making-your-data-streams-available-to-buyers",[13947],{"type":20,"tag":33,"props":13948,"children":13949},{},[13950],{"type":25,"value":13951},"Making Your Data Streams Available to Buyers",{"type":20,"tag":21,"props":13953,"children":13954},{},[13955,13957,13962,13964,13969,13970,13975],{"type":25,"value":13956},"You have the option to make your data stream available for sale in the ",{"type":20,"tag":44,"props":13958,"children":13960},{"href":781,"rel":13959},[538],[13961],{"type":25,"value":6064},{"type":25,"value":13963}," as well as in your own Data Shop. To increase visibility and maximize sales, I recommend selecting both ",{"type":20,"tag":33,"props":13965,"children":13966},{},[13967],{"type":25,"value":13968},"Sell on the Data Marketplace",{"type":25,"value":160},{"type":20,"tag":33,"props":13971,"children":13972},{},[13973],{"type":25,"value":13974},"Sell on my Data Shop",{"type":25,"value":13976},". This way, your data streams will be available to all potential buyers and will be found much more frequently.",{"type":20,"tag":21,"props":13978,"children":13979},{},[13980],{"type":25,"value":13981},"If for whatever reason you don’t want your data streams available in one or the other, simply switch that option off.",{"type":20,"tag":21,"props":13983,"children":13984},{},[13985],{"type":20,"tag":1630,"props":13986,"children":13988},{"alt":8,"src":13987},"https://lh5.googleusercontent.com/hCAIrksRc9X-M6TiuJnezb5bGT06SOsk_ejrMRdlPREEtQN_JLLDTCX3NRz8yeIwq-gXWVKd6e3KdHdrvXJHAAsHMR66ZJIX-YkCpQ6-NEWuM0ca9wjRsoIePCbz5vRgP4RKm69T",[],{"type":20,"tag":1495,"props":13990,"children":13992},{"id":13991},"pricing-your-data-streams",[13993],{"type":20,"tag":33,"props":13994,"children":13995},{},[13996],{"type":25,"value":13997},"Pricing Your Data Streams",{"type":20,"tag":21,"props":13999,"children":14000},{},[14001,14003,14008],{"type":25,"value":14002},"You’ll set a price for every 1,000 records of raw data by inputting your preferred price in ",{"type":20,"tag":33,"props":14004,"children":14005},{},[14006],{"type":25,"value":14007},"Cost Per Thousand",{"type":25,"value":14009}," or adjusting the price scale.",{"type":20,"tag":21,"props":14011,"children":14012},{},[14013],{"type":25,"value":14014},"Pricing your data is an important step. You can choose to make your price competitive or sell your data at a premium depending on what type of data you are offering. Decide the market price of your data products based on your organization’s valuation of your data. For further inspiration, take a look at your competitors’ pricing on their data products and compare them to your own products.",{"type":20,"tag":21,"props":14016,"children":14017},{},[14018],{"type":25,"value":14019},"How exclusive is your data? How valuable is your data compared to other data products related to your industry and how much do you think other organizations would pay to have access to your particular insights?",{"type":20,"tag":21,"props":14021,"children":14022},{},[14023],{"type":25,"value":14024},"I’ve decided to set my price to a fair $3.00 CPT based on my own analysis of the type of data I have to offer.",{"type":20,"tag":1495,"props":14026,"children":14028},{"id":14027},"licensing-your-data-streams",[14029],{"type":20,"tag":33,"props":14030,"children":14031},{},[14032],{"type":25,"value":14033},"Licensing Your Data Streams",{"type":20,"tag":21,"props":14035,"children":14036},{},[14037],{"type":20,"tag":33,"props":14038,"children":14039},{},[14040],{"type":20,"tag":1630,"props":14041,"children":14043},{"alt":8,"src":14042},"https://lh4.googleusercontent.com/hOXNtTBVinHjXR74nuvZTM2vJWNpTJI8R4VJb0p1n0JUusSD-srPns0Rf4B-dBxhffynA1U1sH_SRFG4oNn9U76dUBIMVNnHrPcDHN4-XpvJlvPjH-CrS8hfvXXIM-QDc7szsZF5",[],{"type":20,"tag":21,"props":14045,"children":14046},{},[14047],{"type":25,"value":14048},"This step is taken care of for you. Every platform participant agrees to the Narrative standard licensing terms when they register. Under the Narrative Marketplace Data Purchase Agreement, buyers are given unlimited use of the licensed data within the specified license expiration period.",{"type":20,"tag":21,"props":14050,"children":14051},{},[14052,14053],{"type":25,"value":13848},{"type":20,"tag":33,"props":14054,"children":14055},{},[14056],{"type":25,"value":14057},"Description.",{"type":20,"tag":1495,"props":14059,"children":14061},{"id":14060},"practicing-good-seo-for-your-data-products",[14062],{"type":20,"tag":33,"props":14063,"children":14064},{},[14065],{"type":25,"value":14066},"Practicing Good SEO For Your Data Products",{"type":20,"tag":21,"props":14068,"children":14069},{},[14070],{"type":25,"value":14071},"You can set merchandising information and provide a product image to appeal to buyers.",{"type":20,"tag":21,"props":14073,"children":14074},{},[14075],{"type":25,"value":14076},"The more detail you provide (description, tags, name, etc.), the easier it is for Google to index your products and for customers to find them and understand what they're getting. Be clear, descriptive, and specific in this section in order to give your data products the best shot at being discovered and purchased.",{"type":20,"tag":21,"props":14078,"children":14079},{},[14080],{"type":20,"tag":1630,"props":14081,"children":14083},{"alt":8,"src":14082},"https://lh4.googleusercontent.com/jRwj6rxvY18ubY5yoaVJ0bYbB3LmgqHb1D5WAz1jlYXlUtZpBtIZngHWxLBS5ahUJIwiWauWDnZtVfCUTg8JHkZRPG8IiuX1VqZ2OGcbwr5Gys9mvlFnYBpSrKtTc475zsAPL2AI",[],{"type":20,"tag":903,"props":14085,"children":14086},{},[14087,14096,14106,14115],{"type":20,"tag":907,"props":14088,"children":14089},{},[14090,14094],{"type":20,"tag":33,"props":14091,"children":14092},{},[14093],{"type":25,"value":13148},{"type":25,"value":14095}," Decide what you want your data stream to be called. The name of the data stream will be searchable and displayed to customers, so make sure it is specific and clear. 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I’ve chosen “usa-canada-chocolate-bar-ratings” in order to make my URL specific and easily identifiable.",{"type":20,"tag":907,"props":14107,"children":14108},{},[14109,14113],{"type":20,"tag":33,"props":14110,"children":14111},{},[14112],{"type":25,"value":13158},{"type":25,"value":14114}," This information will explain your dataset to interested buyers and will help buyers discover your dataset on search engines. This is your opportunity to explain to buyers why they care about your data stream, what it can be used for, how the data was collected, and any other information you want to share to make your data discoverable and entice buyers. Make sure this section explains exactly what kind of data your product contains and highlights what is valuable or unique about the product.",{"type":20,"tag":907,"props":14116,"children":14117},{},[14118,14123],{"type":20,"tag":33,"props":14119,"children":14120},{},[14121],{"type":25,"value":14122},"Image:",{"type":25,"value":14124}," To make your product look extra purchasable, provide a product image to showcase the data stream. Products that include a relevant image tend to be more exciting and come across as more professional to potential buyers and make your products easily browsable in your storefront.",{"type":20,"tag":21,"props":14126,"children":14127},{},[14128],{"type":20,"tag":1630,"props":14129,"children":14131},{"alt":8,"src":14130},"https://lh5.googleusercontent.com/GGuxm8LaNT0j1uERgRkzmAd8hx2vMx2dZX_R7RsdwmpU-UOcJHvN_Nrnr0Ry_YuwHB7cY7ScA22bovXb68fSPGUSM0god8lW4-wZlwiELRsIWi2SNthGRi0pM7OXRmlqE_HoDEIw",[],{"type":20,"tag":903,"props":14133,"children":14134},{},[14135,14145],{"type":20,"tag":907,"props":14136,"children":14137},{},[14138,14143],{"type":20,"tag":33,"props":14139,"children":14140},{},[14141],{"type":25,"value":14142},"Category:",{"type":25,"value":14144}," By positioning your product in a relevant category, you are making it extra easy for buyers to find your product. Any buyers searching specifically under the umbrella category you choose will have an especially high chance of finding your data stream. Be sure to make the category specific and relevant.",{"type":20,"tag":907,"props":14146,"children":14147},{},[14148,14152],{"type":20,"tag":33,"props":14149,"children":14150},{},[14151],{"type":25,"value":13168},{"type":25,"value":14153}," Enter tags that will categorize your data and make it discoverable to buyers. Try to imagine what terms your buyers might be searching for if they wanted to find the data you have to offer. The more tags you enter, the better! I’ve entered tags such as: chocolate, candy, chocolate bars, usa chocolate bars, etc. Be sure to hit the “return” key after you type each tag to save it.",{"type":20,"tag":21,"props":14155,"children":14156},{},[14157,14159],{"type":25,"value":14158},"Click Continue to ",{"type":20,"tag":33,"props":14160,"children":14161},{},[14162],{"type":25,"value":14163},"Review.",{"type":20,"tag":1495,"props":14165,"children":14167},{"id":14166},"activating-your-data-stream",[14168],{"type":20,"tag":33,"props":14169,"children":14170},{},[14171],{"type":25,"value":14172},"Activating Your Data Stream",{"type":20,"tag":21,"props":14174,"children":14175},{},[14176],{"type":25,"value":14177},"Preview the product card as it'll appear on the Data Marketplace and/or on your Data Shop. Make sure your product card is attractive, descriptive, categorized, and aptly priced.",{"type":20,"tag":21,"props":14179,"children":14180},{},[14181],{"type":20,"tag":1630,"props":14182,"children":14184},{"alt":8,"src":14183},"https://lh4.googleusercontent.com/KD36lJhjbh4vYuAbYhKTHrt9nMom-DdlRphcGL21qUxLTkfKTaAgfHqUx1fC8d1V5ZpunNNl1gt05Vdv4HPCkvfBzi1a5ws__9U8bNO4G8nvVmE5J4rcCVmeVJdqOPDobZJyTRKI",[],{"type":20,"tag":21,"props":14186,"children":14187},{},[14188,14190,14195],{"type":25,"value":14189},"If you’re happy with how your product appears to buyers and have optimized every possible factor, click ",{"type":20,"tag":33,"props":14191,"children":14192},{},[14193],{"type":25,"value":14194},"Activate Data Stream",{"type":25,"value":14196},". Your product will now be available in the Datastreams Marketplace.",{"type":20,"tag":21,"props":14198,"children":14199},{},[14200],{"type":25,"value":14201},"In minutes we've created your first data stream!",{"type":20,"tag":1495,"props":14203,"children":14205},{"id":14204},"creating-access-rules",[14206],{"type":20,"tag":33,"props":14207,"children":14208},{},[14209],{"type":25,"value":14210},"Creating Access Rules",{"type":20,"tag":21,"props":14212,"children":14213},{},[14214,14216,14225],{"type":25,"value":14215},"Setting access rules is how you will make your data available for buyers to add to custom subscriptions through our app, ",{"type":20,"tag":44,"props":14217,"children":14220},{"href":14218,"rel":14219},"https://app.narrative.io/app/buyer-studio",[538],[14221],{"type":20,"tag":33,"props":14222,"children":14223},{},[14224],{"type":25,"value":4495},{"type":25,"value":14226},". By setting access rules for your data streams, you’re opening up another channel with which buyers can find and buy the precise data you want to sell.",{"type":20,"tag":21,"props":14228,"children":14229},{},[14230,14232,14237,14239],{"type":25,"value":14231},"To get started, click ",{"type":20,"tag":33,"props":14233,"children":14234},{},[14235],{"type":25,"value":14236},"Access Rules",{"type":25,"value":14238}," on the left-side menu on ",{"type":20,"tag":33,"props":14240,"children":14241},{},[14242],{"type":25,"value":14243},"Seller Studio.",{"type":20,"tag":21,"props":14245,"children":14246},{},[14247,14249,14254],{"type":25,"value":14248},"Select a dataset in the dropdown menu and scroll down to click ",{"type":20,"tag":33,"props":14250,"children":14251},{},[14252],{"type":25,"value":14253},"Add Access Rule",{"type":25,"value":191},{"type":20,"tag":21,"props":14256,"children":14257},{},[14258],{"type":20,"tag":1630,"props":14259,"children":14261},{"alt":8,"src":14260},"https://lh4.googleusercontent.com/Fp51A35gM2SPzCS8CROKYTGCVsFQIvV-Lfhc-KkP2AF1UBWOvYQwahRLZGRMXasjtpxePBLI0xMDP8DFqPsVZl63akHowkZX3j4KCdtA6YXko1nraMoq7v0dNmMcJkcskp0v2-KT",[],{"type":20,"tag":21,"props":14263,"children":14264},{},[14265,14267,14272],{"type":25,"value":14266},"You will need to provide a ",{"type":20,"tag":33,"props":14268,"children":14269},{},[14270],{"type":25,"value":14271},"Description",{"type":25,"value":14273},", which identifies the access rule to buyers. For mine, I labeled it “Open Access - USA and Canada Chocolate Bar Ratings” This title indicates that everyone on the marketplace has access to my dataset and also describes what data they will be receiving.",{"type":20,"tag":21,"props":14275,"children":14276},{},[14277,14278,14282],{"type":25,"value":12206},{"type":20,"tag":33,"props":14279,"children":14280},{},[14281],{"type":25,"value":14007},{"type":25,"value":14283}," section, you’ll price your data similarly to how you priced it when you made your original data stream.",{"type":20,"tag":1495,"props":14285,"children":14287},{"id":14286},"setting-up-constraints",[14288],{"type":20,"tag":33,"props":14289,"children":14290},{},[14291],{"type":25,"value":14292},"Setting Up Constraints",{"type":20,"tag":21,"props":14294,"children":14295},{},[14296,14298,14303],{"type":25,"value":14297},"To limit the data you want to make available to buyers building a subscription, you will set up ",{"type":20,"tag":33,"props":14299,"children":14300},{},[14301],{"type":25,"value":14302},"Constraints",{"type":25,"value":14304},", which will filter which records you want to make available in your sellable dataset.",{"type":20,"tag":21,"props":14306,"children":14307},{},[14308,14309,14314],{"type":25,"value":13588},{"type":20,"tag":33,"props":14310,"children":14311},{},[14312],{"type":25,"value":14313},"Add Constraint",{"type":25,"value":14315}," to select from a dropdown menu of attributes and options to make those attributes NULL or include them in the dataset.",{"type":20,"tag":21,"props":14317,"children":14318},{},[14319],{"type":20,"tag":33,"props":14320,"children":14321},{},[14322],{"type":20,"tag":1630,"props":14323,"children":14325},{"alt":8,"src":14324},"https://lh6.googleusercontent.com/zmN3cFBOSUGIaOhToEte9LbGmklKqjAQrEzploP48L-n3FhTNRmCWG1jpm6GwvAM8UYU6uhQojaCPIxEpfaF79XXTzDlkYrICq6rtn5OWXPTBBZA7LtA8sqzL7lKlB9ekc9SJySb",[],{"type":20,"tag":1495,"props":14327,"children":14329},{"id":14328},"choosing-your-buyers",[14330],{"type":20,"tag":33,"props":14331,"children":14332},{},[14333],{"type":25,"value":14334},"Choosing Your Buyers",{"type":20,"tag":21,"props":14336,"children":14337},{},[14338,14340,14345,14347,14352],{"type":25,"value":14339},"You have the ability to adjust the discoverability of your data products. 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Click the ",{"type":20,"tag":33,"props":14341,"children":14342},{},[14343],{"type":25,"value":14344},"Buyers",{"type":25,"value":14346}," drop down menu and select ",{"type":20,"tag":33,"props":14348,"children":14349},{},[14350],{"type":25,"value":14351},"Sell to all Buyers",{"type":25,"value":191},{"type":20,"tag":21,"props":14354,"children":14355},{},[14356,14358,14363,14365,14370,14371,14376],{"type":25,"value":14357},"You also have the option of selecting ",{"type":20,"tag":33,"props":14359,"children":14360},{},[14361],{"type":25,"value":14362},"Custom.",{"type":25,"value":14364}," With that option, you can choose to ",{"type":20,"tag":33,"props":14366,"children":14367},{},[14368],{"type":25,"value":14369},"Include",{"type":25,"value":13353},{"type":20,"tag":33,"props":14372,"children":14373},{},[14374],{"type":25,"value":14375},"Exclude",{"type":25,"value":14377}," any other users within the marketplace. 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Make sure you have the app downloaded to get started.",{"type":20,"tag":21,"props":14414,"children":14415},{},[14416,14418,14423,14425],{"type":25,"value":14417},"Once you’ve opened Shop Builder in your browser, select ",{"type":20,"tag":33,"props":14419,"children":14420},{},[14421],{"type":25,"value":14422},"Data Shop Settings",{"type":25,"value":14424}," and then click ",{"type":20,"tag":33,"props":14426,"children":14427},{},[14428],{"type":25,"value":14429},"Create a New Data Shop.",{"type":20,"tag":21,"props":14431,"children":14432},{},[14433],{"type":20,"tag":33,"props":14434,"children":14435},{},[14436],{"type":20,"tag":1630,"props":14437,"children":14439},{"alt":8,"src":14438},"https://lh4.googleusercontent.com/NE11LqQvryhIpX7d3SWKovAvNpx5CXM3-1Q64_Bbb3Ya36ZkHoa9aUxOzwzubaCD-1Z1w7aITw8kSnU6E3KXzR1sfXSsPwq7bmvKvLQL-QO1MGp8yySF6J_dNGAxeawaS8JoIvkg",[],{"type":20,"tag":1495,"props":14441,"children":14443},{"id":14442},"defining-your-shops-brand-voice",[14444],{"type":20,"tag":33,"props":14445,"children":14446},{},[14447],{"type":25,"value":14448},"Defining Your Shop’s Brand & Voice",{"type":20,"tag":21,"props":14450,"children":14451},{},[14452],{"type":25,"value":14453},"Before you begin setting up your Data Shop customizations, take a moment to decide what logo, colors, tone, and images you want to represent your data brand. Think about how you want to convey your data business brand and the products that you’re offering.",{"type":20,"tag":21,"props":14455,"children":14456},{},[14457],{"type":25,"value":14458},"Do you want your shop to be fun and quirky with cute pictures and silly titles and descriptions or do you want to take a more professional tone? Do you want your ecommerce storefront to be colorful and bright or monochrome and subdued?",{"type":20,"tag":21,"props":14460,"children":14461},{},[14462],{"type":25,"value":14463},"If you want your data shop brand to match your organization’s brand and voice, be sure to align the design and written content of your data shop with the tone and style of your unique brand.",{"type":20,"tag":21,"props":14465,"children":14466},{},[14467,14469,14474],{"type":25,"value":14468},"Go to Shop Settings and click ",{"type":20,"tag":33,"props":14470,"children":14471},{},[14472],{"type":25,"value":14473},"Create a New Data Shop",{"type":25,"value":191},{"type":20,"tag":1495,"props":14476,"children":14478},{"id":14477},"creating-and-optimizing-your-domain",[14479],{"type":20,"tag":33,"props":14480,"children":14481},{},[14482],{"type":25,"value":14483},"Creating and Optimizing Your Domain",{"type":20,"tag":21,"props":14485,"children":14486},{},[14487,14489,14494],{"type":25,"value":14488},"First, register a ",{"type":20,"tag":33,"props":14490,"children":14491},{},[14492],{"type":25,"value":14493},"Domain Name.",{"type":25,"value":14495}," This will be the name of your data store website so make sure that it is simple and representative of your brand and data products. Since my brand is all about chocolate and chocolate-centered data, I decided to title my data shop with my name and industry. I’ve chosen the domain name: brennas-chocolate-datashop.com.",{"type":20,"tag":21,"props":14497,"children":14498},{},[14499,14501,14508],{"type":25,"value":14500},"Also be sure to ",{"type":20,"tag":44,"props":14502,"children":14505},{"href":14503,"rel":14504},"https://kb.narrative.io/data-shop-domain-cloudflare",[538],[14506],{"type":25,"value":14507},"point your domain to Narrative's DNS server",{"type":25,"value":191},{"type":20,"tag":21,"props":14510,"children":14511},{},[14512],{"type":20,"tag":1630,"props":14513,"children":14515},{"alt":8,"src":14514},"https://lh3.googleusercontent.com/o2dimdDoeXOQJk8G1EChTuTtVAj1DhTepSGYypaj6XgO0pDlIFW1tTM3i2POWv6IG4J1Lz9ecPdSmnM7krcNpocpets5IuRdLp3L2XCr_Z-if8hxhOSTMdFazBFiKE01BEqqOIG9",[],{"type":20,"tag":21,"props":14517,"children":14518},{},[14519],{"type":25,"value":14520},"Now, you’ll need to optimize your data store by using best SEO practices to get your data products found. Be sure to follow these tips for each section:",{"type":20,"tag":903,"props":14522,"children":14523},{},[14524,14534,14544,14554],{"type":20,"tag":907,"props":14525,"children":14526},{},[14527,14532],{"type":20,"tag":33,"props":14528,"children":14529},{},[14530],{"type":25,"value":14531},"Google Analytics:",{"type":25,"value":14533}," Set a Google Analytics tag for your shop. This tag will help your data products pop up in Google search results. Think about what your buyers might be searching for if they wanted to find your data and enter the most precise and popular term or phrase. For instance, I set my tag to “chocolate data.”",{"type":20,"tag":907,"props":14535,"children":14536},{},[14537,14542],{"type":20,"tag":33,"props":14538,"children":14539},{},[14540],{"type":25,"value":14541},"Google Tag Manager:",{"type":25,"value":14543}," Set your Google Tag Manager tracking tag to the same phrase or term that you entered in the above field. Google Tag Manager will help you keep track of when, where, and by who your data shop is being visited and purchased from.",{"type":20,"tag":907,"props":14545,"children":14546},{},[14547,14552],{"type":20,"tag":33,"props":14548,"children":14549},{},[14550],{"type":25,"value":14551},"Shop Name:",{"type":25,"value":14553}," Give your shop a unique name that will represent your brand. The shop’s name will appear on the web browser’s title bar and will be the first thing your buyers see. I have chosen to name my shop “Brenna’s Chocolate Datashop.”",{"type":20,"tag":907,"props":14555,"children":14556},{},[14557,14562],{"type":20,"tag":33,"props":14558,"children":14559},{},[14560],{"type":25,"value":14561},"Meta Description:",{"type":25,"value":14563}," This is the description of your Data Shop as it appears to a search engine. Make sure that it describes your data in a succinct manner.",{"type":20,"tag":21,"props":14565,"children":14566},{},[14567],{"type":20,"tag":1630,"props":14568,"children":14570},{"alt":8,"src":14569},"https://lh6.googleusercontent.com/k0xGga1k7v1Ka3trB3nf7EnAVZhA0Yf726X1rgtDAaDfIZj8fBZFopj8vkkSHSI9SOePmWLRNThag4ySoxVb1ufQVdEBPjEFg4-BDt9y6170x3FQmbxigU_e1VH6tkrYMl6TM5FU",[],{"type":20,"tag":903,"props":14572,"children":14573},{},[14574,14584],{"type":20,"tag":907,"props":14575,"children":14576},{},[14577,14582],{"type":20,"tag":33,"props":14578,"children":14579},{},[14580],{"type":25,"value":14581},"Meta Tags:",{"type":25,"value":14583}," These tags describe your website to search engines. For my chocolate data shop, I’ll enter tags such as “chocolate data,” “chocolate bar data,” etc. Be sure to use the return key to save each tag.",{"type":20,"tag":907,"props":14585,"children":14586},{},[14587,14592],{"type":20,"tag":33,"props":14588,"children":14589},{},[14590],{"type":25,"value":14591},"Featured Search Terms:",{"type":25,"value":14593}," These are suggested search terms that will appear as buttons below the search bar on the Home page. Use the return key to save a search term.",{"type":20,"tag":1495,"props":14595,"children":14597},{"id":14596},"setting-your-visibility",[14598],{"type":20,"tag":33,"props":14599,"children":14600},{},[14601],{"type":25,"value":14602},"Setting Your Visibility",{"type":20,"tag":21,"props":14604,"children":14605},{},[14606],{"type":20,"tag":1630,"props":14607,"children":14609},{"alt":8,"src":14608},"https://lh4.googleusercontent.com/-Nv09yyMY_-ZGL-oLQgURIFSE_rUm_ntYWMT6yE8T6DtSa_aQHixXzcj7YVd9GK2zHU_c9uVf40u7G8EKQmH6GJ7iqqwuDUcmBNT1lBebzMBq6QnSYJLVUaO6MQGQxeUjABo7B_b",[],{"type":20,"tag":21,"props":14611,"children":14612},{},[14613,14615,14620,14622,14626],{"type":25,"value":14614},"You can choose to list your shop on the ",{"type":20,"tag":44,"props":14616,"children":14618},{"href":781,"rel":14617},[538],[14619],{"type":25,"value":6064},{"type":25,"value":14621}," or require visitors to login and/or register before entering your Data Shop. To make your shop the most discoverable, you should choose the ",{"type":20,"tag":33,"props":14623,"children":14624},{},[14625],{"type":25,"value":5989},{"type":25,"value":13838},{"type":20,"tag":1495,"props":14628,"children":14630},{"id":14629},"customizing-your-shops-appearance",[14631],{"type":20,"tag":33,"props":14632,"children":14633},{},[14634],{"type":25,"value":14635},"Customizing Your Shop’s Appearance",{"type":20,"tag":21,"props":14637,"children":14638},{},[14639],{"type":20,"tag":33,"props":14640,"children":14641},{},[14642],{"type":20,"tag":1630,"props":14643,"children":14645},{"alt":8,"src":14644},"https://lh3.googleusercontent.com/jRg4ST3N1MZmeq37DGkgBQo7TfdO3AQx3CcCCxa0_Bt6dubKQ2KiAVEJ8EL_ujFXMXrTO7XbOPLCvWOAQbHiFE7rwtOJZ9UeUj4BhW21c4oN7iGKosVMJZEr45tYMxHy-8XDLG_2",[],{"type":20,"tag":21,"props":14647,"children":14648},{},[14649,14651,14656],{"type":25,"value":14650},"Enter your ",{"type":20,"tag":33,"props":14652,"children":14653},{},[14654],{"type":25,"value":14655},"Site Logo’s",{"type":25,"value":14657}," image URL. This is simply the logo of your brand and should be uploaded so that your organization and its data assets are easily identifiable with a glance. Having a nice logo also makes your shop look ultra professional and polished. (Note that the logo height is scaled to 28 pixels. The width of the logo will change based on the aspect ratio of the source image. An image with a transparent background is recommended.)",{"type":20,"tag":21,"props":14659,"children":14660},{},[14661,14663,14668],{"type":25,"value":14662},"Enter the ",{"type":20,"tag":33,"props":14664,"children":14665},{},[14666],{"type":25,"value":14667},"Site Logo Alt Text",{"type":25,"value":14669},", which is the text that will pop up when a user moves their cursor over the logo image. This should be no more than a few words to a sentence long and should give a quick written identifier of your brand. It could be your company’s name, slogan, or a direct description of who your brand is and what products you’re providing.",{"type":20,"tag":21,"props":14671,"children":14672},{},[14673,14675,14680],{"type":25,"value":14674},"Next, provide a ",{"type":20,"tag":33,"props":14676,"children":14677},{},[14678],{"type":25,"value":14679},"Placeholder Image",{"type":25,"value":14681}," URL. This image will be used next to your data products if you forget or choose not to upload an image when you post the data product for sale.",{"type":20,"tag":21,"props":14683,"children":14684},{},[14685,14687,14692],{"type":25,"value":14686},"Lastly, provide a ",{"type":20,"tag":33,"props":14688,"children":14689},{},[14690],{"type":25,"value":14691},"Favicon Icon",{"type":25,"value":14693}," URL. This icon will appear next to the page title in the browser's title bar. This could simply be your logo image or you could get creative with it. (Note that this icon will be scaled to 16 x 16 pixels.)",{"type":20,"tag":1495,"props":14695,"children":14697},{"id":14696},"sending-exclusive-invites",[14698],{"type":20,"tag":33,"props":14699,"children":14700},{},[14701],{"type":25,"value":14702},"Sending Exclusive Invites",{"type":20,"tag":21,"props":14704,"children":14705},{},[14706],{"type":25,"value":14707},"You’ve created your data shop! It’s now open for business and can be filled with as many data products as you’d like.",{"type":20,"tag":21,"props":14709,"children":14710},{},[14711],{"type":25,"value":14712},"You can also notify your customers with an email invite that you have set up your first Data Shop!",{"type":20,"tag":1495,"props":14714,"children":14716},{"id":14715},"delivering-managing-purchases",[14717],{"type":20,"tag":33,"props":14718,"children":14719},{},[14720],{"type":25,"value":14721},"Delivering & Managing Purchases",{"type":20,"tag":21,"props":14723,"children":14724},{},[14725],{"type":25,"value":14726},"Once your data has been reviewed, organized into marketable products, and displayed in an attractive ecommerce shop front, you can sit back and relax. When a buyer makes a purchase from your data shop, Narrative will deliver the purchased data automatically to the buyer, so you can simply check in on your data business at your leisure without having to monitor purchases.",{"type":20,"tag":21,"props":14728,"children":14729},{},[14730,14735,14736,14744,14745,14750,14751,14759,14760],{"type":20,"tag":33,"props":14731,"children":14732},{},[14733],{"type":25,"value":14734},"Have questions or need more guidance on getting your custom",{"type":25,"value":177},{"type":20,"tag":44,"props":14737,"children":14738},{"href":566},[14739],{"type":20,"tag":33,"props":14740,"children":14741},{},[14742],{"type":25,"value":14743},"Data Shop",{"type":25,"value":177},{"type":20,"tag":33,"props":14746,"children":14747},{},[14748],{"type":25,"value":14749},"up and running?",{"type":25,"value":177},{"type":20,"tag":44,"props":14752,"children":14753},{"href":180},[14754],{"type":20,"tag":33,"props":14755,"children":14756},{},[14757],{"type":25,"value":14758},"Schedule a consultation with one of our experts",{"type":25,"value":177},{"type":20,"tag":33,"props":14761,"children":14762},{},[14763],{"type":25,"value":14764},"today!",{"title":8,"searchDepth":193,"depth":193,"links":14766},[14767,14768,14769,14770,14771,14772,14773,14774,14775,14776,14777,14778,14779,14780,14781,14782,14783,14784,14785,14786,14787,14788,14789,14790,14791],{"id":12825,"depth":193,"text":12831},{"id":12921,"depth":193,"text":12927},{"id":12973,"depth":193,"text":12979},{"id":13035,"depth":193,"text":13041},{"id":13095,"depth":193,"text":13101},{"id":13197,"depth":193,"text":13203},{"id":13545,"depth":193,"text":13551},{"id":13620,"depth":193,"text":13626},{"id":13752,"depth":193,"text":13758},{"id":13792,"depth":193,"text":13798},{"id":13856,"depth":193,"text":13862},{"id":13945,"depth":193,"text":13951},{"id":13991,"depth":193,"text":13997},{"id":14027,"depth":193,"text":14033},{"id":14060,"depth":193,"text":14066},{"id":14166,"depth":193,"text":14172},{"id":14204,"depth":193,"text":14210},{"id":14286,"depth":193,"text":14292},{"id":14328,"depth":193,"text":14334},{"id":14442,"depth":193,"text":14448},{"id":14477,"depth":193,"text":14483},{"id":14596,"depth":193,"text":14602},{"id":14629,"depth":193,"text":14635},{"id":14696,"depth":193,"text":14702},{"id":14715,"depth":193,"text":14721},"content:blog:guide-to-data-shops.md","blog/guide-to-data-shops.md","blog/guide-to-data-shops",{"loc":633},{"_path":14797,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":14798,"description":14799,"publishDate":14800,"author":14801,"ogImage":14802,"image":14802,"tags":14803,"authorSlug":14806,"status":14807,"body":14808,"_type":195,"_id":15188,"_source":197,"_file":15189,"_stem":15190,"_extension":200,"sitemap":15191},"/blog/hightouch-announces-composable-identity-partnership-with-narrative","Narrative announces Composable Identity partnership with Hightouch","Build, own, and activate your own multi-vendor identity graph in Snowflake to maximize audience reach and performance across 250+ channels.","2025-09-22T11:13:30.000Z","Chris Comstock","/img/blog/2025/09/narrative-hightouch-partnership.png",[1262,1263,1264,5680,14804,14805],"collaborative identity","hightouch","chris-comstock","archived",{"type":17,"children":14809,"toc":15174},[14810,14838,14843,14852,14857,14867,14877,14887,14892,14900,14905,14914,14919,14929,14939,14949,14957,14962,14969,14974,14982,14991,14996,15006,15016,15026,15033,15042,15047,15054,15059,15068,15073,15084,15093,15098,15107,15112,15117,15122,15131,15136,15141,15150,15155,15160],{"type":20,"tag":21,"props":14811,"children":14812},{},[14813,14815,14822,14824,14829,14831,14836],{"type":25,"value":14814},"Today, Narrative is excited to announce our Composable Identity partnership with Hightouch—a Snowflake-native platform that enables enterprise marketers and media networks to build, own, and activate custom identity graphs by combining first-party data with 30+ third-party providers directly in Snowflake. This complements ",{"type":20,"tag":44,"props":14816,"children":14819},{"href":14817,"rel":14818},"https://hightouch.com/blog/announcing-adaptive-identity-resolution",[538],[14820],{"type":25,"value":14821},"Hightouch’s Adaptive Identity Resolution",{"type":25,"value":14823},", which enables enterprises to create flexible identity graphs using their ",{"type":20,"tag":2347,"props":14825,"children":14826},{},[14827],{"type":25,"value":14828},"first-party",{"type":25,"value":14830}," data by bringing in ",{"type":20,"tag":2347,"props":14832,"children":14833},{},[14834],{"type":25,"value":14835},"third-party",{"type":25,"value":14837}," data sources to enrich customer profiles.",{"type":20,"tag":21,"props":14839,"children":14840},{},[14841],{"type":25,"value":14842},"Through this partnership, complex enterprises and media networks can create identity graphs enriched by third-party data, which allows them to improve personalization and audience reach across their advertising channels. Instead of being forced to choose between expensive and inflexible black-box identity vendors or using first-party data alone, businesses can compose their ideal identity graph using the best providers for their specific use cases and then use that graph to target addressable audiences across digital, paid media, and lifecycle channels.",{"type":20,"tag":1495,"props":14844,"children":14846},{"id":14845},"why-existing-third-party-identity-solutions-trap-businesses-in-impossible-trade-offs",[14847],{"type":20,"tag":33,"props":14848,"children":14849},{},[14850],{"type":25,"value":14851},"Why existing third-party identity solutions trap businesses in impossible trade-offs",{"type":20,"tag":21,"props":14853,"children":14854},{},[14855],{"type":25,"value":14856},"Enterprise marketers and media networks have been forced into unsatisfactory third-party identity solutions that force impossible trade-offs between coverage, cost, and usability.",{"type":20,"tag":21,"props":14858,"children":14859},{},[14860,14865],{"type":20,"tag":33,"props":14861,"children":14862},{},[14863],{"type":25,"value":14864},"Single-vendor solutions limit coverage, but multi-vendor approaches create expensive duplication.",{"type":25,"value":14866}," No identity provider offers perfect coverage across all the identity assets complex businesses need—whether that's credit card transaction tokens for offline attribution, comprehensive demographic data for premium targeting, or robust coverage in EMEA and APAC regions. Unfortunately, when enterprises need to supplement their primary identity provider with additional datasets, they're often forced to purchase the entire dataset from another provider, paying for duplicative identity services when they only need specific incremental data.",{"type":20,"tag":21,"props":14868,"children":14869},{},[14870,14875],{"type":20,"tag":33,"props":14871,"children":14872},{},[14873],{"type":25,"value":14874},"Identity investments don’t drive much value without activation.",{"type":25,"value":14876}," Sophisticated third-party identity solutions typically offer only basic activation options—typically to a handful of advertising destinations and simple file exports. Even traditional onboarders with extensive integration catalogs only focus on paid media. This prevents marketing teams from leveraging their identity investment across the full spectrum of customer experiences, from on-site personalization to lifecycle marketing to media monetization.",{"type":20,"tag":21,"props":14878,"children":14879},{},[14880,14885],{"type":20,"tag":33,"props":14881,"children":14882},{},[14883],{"type":25,"value":14884},"Fragmented systems create compliance nightmares.",{"type":25,"value":14886}," Even when enterprises do successfully cobble together identity providers and activation pipelines, they create a complex web of governance challenges that are impossible to manage effectively. Identity vendors restrict usage to specific use-cases, privacy laws require that data is stored regionally, and customer opt-outs must be honored consistently across channels. This fragmentation makes it extremely difficult to prevent data misuse or compliance failures.",{"type":20,"tag":21,"props":14888,"children":14889},{},[14890],{"type":25,"value":14891},"The result of all of these challenges? Businesses either accept limited identity coverage, pay premium prices for duplicative services and narrow activation options, or take on unnecessary complexity and risk.",{"type":20,"tag":21,"props":14893,"children":14894},{},[14895],{"type":20,"tag":2347,"props":14896,"children":14897},{},[14898],{"type":25,"value":14899},"\"We see enterprises struggling with the same identity challenge over and over—they need sophisticated identity resolution with third-party data to compete, but traditional vendors force them into expensive, inflexible contracts that create more problems than they solve. The future belongs to companies that can build and own their identity graphs in their own data cloud while maintaining the flexibility to activate across their entire marketing stack. That's exactly what Hightouch and Narrative deliver together on Snowflake.\"",{"type":20,"tag":21,"props":14901,"children":14902},{},[14903],{"type":25,"value":14904},"— David Wells, Industry Principal, Media, Entertainment & Advertising at Snowflake",{"type":20,"tag":1495,"props":14906,"children":14908},{"id":14907},"what-makes-composable-identity-different",[14909],{"type":20,"tag":33,"props":14910,"children":14911},{},[14912],{"type":25,"value":14913},"What makes Composable Identity different",{"type":20,"tag":21,"props":14915,"children":14916},{},[14917],{"type":25,"value":14918},"Hightouch's partnership with Narrative eliminates traditional identity trade-offs by giving customers the tools to build custom multi-provider identity graphs in Snowflake that can be activated across 250+ marketing channels. With built-in governance at every layer of the stack, privacy teams can rest easy knowing that data won’t be misused or shared without consent.",{"type":20,"tag":21,"props":14920,"children":14921},{},[14922,14927],{"type":20,"tag":33,"props":14923,"children":14924},{},[14925],{"type":25,"value":14926},"Build identity graphs using first-party data and multiple third-party providers.",{"type":25,"value":14928}," Fill critical identity gaps by combining first-party data with 30+ specialized identity providers to build a custom identity graph that you control in Snowflake. Access credit card tokens for offline attribution, append emails and device IDs for higher match rates, and leverage regional providers for global reach—paying only for the incremental data you need.",{"type":20,"tag":21,"props":14930,"children":14931},{},[14932,14937],{"type":20,"tag":33,"props":14933,"children":14934},{},[14935],{"type":25,"value":14936},"Personalize experiences and improve reach across 250+ marketing channels.",{"type":25,"value":14938}," Use Hightouch to visually build and activate audiences from your identity graph across web, mobile, email, and paid media platforms. Drive digital and lifecycle personalization using enriched customer attributes. Boost media performance and monetization with better match rates for audience targeting, suppression, and conversion API optimization.",{"type":20,"tag":21,"props":14940,"children":14941},{},[14942,14947],{"type":20,"tag":33,"props":14943,"children":14944},{},[14945],{"type":25,"value":14946},"Manage risk and liability with automated governance at every layer",{"type":25,"value":14948},". Narrative automates third-party data usage controls, Snowflake ensures data is stored and processed regionally, and Hightouch manages automated consent, creating comprehensive guardrails that reduce the risk of data misuse while ensuring global compliance across every use case.",{"type":20,"tag":21,"props":14950,"children":14951},{},[14952],{"type":20,"tag":2347,"props":14953,"children":14954},{},[14955],{"type":25,"value":14956},"\"The enterprise identity market has been broken by vendors who want to own your data and limit how you use it. We built Composable Identity because enterprises should control their identity graphs in their own infrastructure. But ownership without activation is just expensive data storage. Our partnership with Hightouch gives you transparent identity resolution combined with sophisticated orchestration capabilities to actually put that data to work across your entire marketing stack.\"",{"type":20,"tag":21,"props":14958,"children":14959},{},[14960],{"type":25,"value":14961},"— Tim Mahlman, CEO of Narrative",{"type":20,"tag":1495,"props":14963,"children":14964},{"id":5003},[14965],{"type":20,"tag":33,"props":14966,"children":14967},{},[14968],{"type":25,"value":7621},{"type":20,"tag":21,"props":14970,"children":14971},{},[14972],{"type":25,"value":14973},"Create, orchestrate, and activate your identity graph through a three-step process that happens entirely within your Snowflake environment.",{"type":20,"tag":21,"props":14975,"children":14976},{},[14977],{"type":20,"tag":1630,"props":14978,"children":14981},{"alt":14979,"src":14980,"title":14979},"partnership diagram","/img/blog/2025/09/1-composable-identity-diagram.jpg",[],{"type":20,"tag":223,"props":14983,"children":14985},{"id":14984},"_1-compose-your-third-party-identity-graph-with-multiple-providers",[14986],{"type":20,"tag":33,"props":14987,"children":14988},{},[14989],{"type":25,"value":14990},"1. Compose your third-party identity graph with multiple providers",{"type":20,"tag":21,"props":14992,"children":14993},{},[14994],{"type":25,"value":14995},"Use Narrative's marketplace to combine first-party data with third-party identity providers that meet your specific needs. The identity graph you create can support three core capabilities:",{"type":20,"tag":21,"props":14997,"children":14998},{},[14999,15004],{"type":20,"tag":33,"props":15000,"children":15001},{},[15002],{"type":25,"value":15003},"Entity resolution",{"type":25,"value":15005}," - Connect fragmented customer data across devices, touchpoints, and offline interactions by stitching together emails, phones, MAIDs, cookies, and credit card tokens into unified customer profiles and household clusters.",{"type":20,"tag":21,"props":15007,"children":15008},{},[15009,15014],{"type":20,"tag":33,"props":15010,"children":15011},{},[15012],{"type":25,"value":15013},"Third-party data enrichment",{"type":25,"value":15015}," - Append demographic, behavioral, and intent data to customer profiles for granular segmentation, lookalike modeling, and personalized targeting across channels.",{"type":20,"tag":21,"props":15017,"children":15018},{},[15019,15024],{"type":20,"tag":33,"props":15020,"children":15021},{},[15022],{"type":25,"value":15023},"Data onboarding",{"type":25,"value":15025}," - Enhance match rates by appending additional identifiers to customer profiles or converting between identifier types to meet specific platform requirements, such as translating emails to CTV IDs for targeting audiences across Smart TVs and streaming platforms.",{"type":20,"tag":21,"props":15027,"children":15028},{},[15029],{"type":20,"tag":1630,"props":15030,"children":15032},{"alt":5680,"src":15031,"title":5680},"/img/blog/2025/09/2-graph-builder.png",[],{"type":20,"tag":223,"props":15034,"children":15036},{"id":15035},"_2-curate-custom-audiences-from-your-identity-graph",[15037],{"type":20,"tag":33,"props":15038,"children":15039},{},[15040],{"type":25,"value":15041},"2. Curate custom audiences from your identity graph",{"type":20,"tag":21,"props":15043,"children":15044},{},[15045],{"type":25,"value":15046},"Build sophisticated audience segments and customer journeys using your enriched identity graph directly in Snowflake. Hightouch's visual audience builder operates in your Snowflake environment, enabling fast and easy data orchestration through a marketing-friendly interface.",{"type":20,"tag":21,"props":15048,"children":15049},{},[15050],{"type":20,"tag":1630,"props":15051,"children":15053},{"alt":5680,"src":15052,"title":5680},"/img/blog/2025/09/3-hightouch-ui.png",[],{"type":20,"tag":21,"props":15055,"children":15056},{},[15057],{"type":25,"value":15058},"Create complex audiences like \"High-value customers who haven't purchased in 90 days, live in households with $75K+ income, and have shown interest in premium products\" using your complete identity dataset.",{"type":20,"tag":223,"props":15060,"children":15062},{"id":15061},"_3-activate-audiences-with-enhanced-match-rates-across-250-channels",[15063],{"type":20,"tag":33,"props":15064,"children":15065},{},[15066],{"type":25,"value":15067},"3. Activate audiences with enhanced match rates across 250+ channels",{"type":20,"tag":21,"props":15069,"children":15070},{},[15071],{"type":25,"value":15072},"Deploy your identity-enhanced audiences across web, mobile, and email platforms in just a few clicks. Sync audiences and conversion events to paid media platforms using incremental identifiers from your identity graph. Reach more of your target audience, suppress more active customers, and optimize bidding and decisioning algorithms with better conversion signals.",{"type":20,"tag":21,"props":15074,"children":15075},{},[15076,15080],{"type":20,"tag":1630,"props":15077,"children":15079},{"alt":5680,"src":15078,"title":5680},"/img/blog/2025/09/4-hightouch-ui.png",[],{"type":20,"tag":1630,"props":15081,"children":15083},{"alt":5680,"src":15082,"title":5680},"/img/blog/2025/09/5-hightouch-ui.png",[],{"type":20,"tag":1495,"props":15085,"children":15087},{"id":15086},"how-customers-use-composable-identity",[15088],{"type":20,"tag":33,"props":15089,"children":15090},{},[15091],{"type":25,"value":15092},"How customers use Composable Identity",{"type":20,"tag":21,"props":15094,"children":15095},{},[15096],{"type":25,"value":15097},"Composable Identity is particularly powerful for complex B2C enterprises that need third-party identity resolution to drive omnichannel customer experiences and enhance advertising addressability.",{"type":20,"tag":223,"props":15099,"children":15101},{"id":15100},"media-networks-increase-advertiser-value-and-cpm-based-revenue",[15102],{"type":20,"tag":33,"props":15103,"children":15104},{},[15105],{"type":25,"value":15106},"Media networks increase advertiser value and CPM-based revenue",{"type":20,"tag":21,"props":15108,"children":15109},{},[15110],{"type":25,"value":15111},"Media networks often struggle with limited audience addressability and shallow customer insights that limit campaign rates and scale. First-party engagement data alone can't provide the demographic, behavioral, and intent signals that brand advertisers need to provide premium targeting options, while incomplete identity resolution limits audience reach and scale.",{"type":20,"tag":21,"props":15113,"children":15114},{},[15115],{"type":25,"value":15116},"With Composable Identity, media networks can enrich audience profiles with household demographics, purchase intent signals, and lifestyle data from multiple providers while expanding identity coverage with additional emails, IP addresses, and device identifiers.",{"type":20,"tag":21,"props":15118,"children":15119},{},[15120],{"type":25,"value":15121},"They can then use Hightouch's Composable CDP to curate and activate premium audience segments like \"high-income households interested in luxury goods\" to advertisers through their onsite ad server and across SSPs, DSPs, and walled gardens—driving higher CPMs and expanding monetization opportunities.",{"type":20,"tag":223,"props":15123,"children":15125},{"id":15124},"retailers-and-qsrs-unify-customer-experiences-across-all-touchpoints",[15126],{"type":20,"tag":33,"props":15127,"children":15128},{},[15129],{"type":25,"value":15130},"Retailers and QSRs unify customer experiences across all touchpoints",{"type":20,"tag":21,"props":15132,"children":15133},{},[15134],{"type":25,"value":15135},"Omnichannel retailers and QSRs struggle to connect fragmented customer interactions across channels. Without proper identity resolution, a loyalty member who orders through the mobile app, browses products on the website, and pays with a credit card in-store appears as three separate customers.",{"type":20,"tag":21,"props":15137,"children":15138},{},[15139],{"type":25,"value":15140},"With Composable Identity, a coffee chain can connect in-store purchases to loyalty memberships through credit card tokens, link mobile engagements through device IDs, then match those profiles to household IP addresses for CTV targeting. Then they can use Hightouch to activate segments like \"premium product browsers who primarily purchase espresso drinks in-store but haven't tried the new seasonal menu\" across email promotions, mobile push notifications, and streaming CTV ads to drive cross-sell revenue at every touchpoint.",{"type":20,"tag":1495,"props":15142,"children":15144},{"id":15143},"ready-to-build-and-activate-your-identity-graph",[15145],{"type":20,"tag":33,"props":15146,"children":15147},{},[15148],{"type":25,"value":15149},"Ready to build and activate your identity graph?",{"type":20,"tag":21,"props":15151,"children":15152},{},[15153],{"type":25,"value":15154},"Traditional third-party identity solutions force impossible trade-offs between coverage, cost, and compliance risk. Narrative’sHightouch’s Composable Identity partnership with Hightouch’sNarrative's Composable CDPIdentity solution eliminates those tradeoffs with a Composable Identity and activation solution on Snowflake.",{"type":20,"tag":21,"props":15156,"children":15157},{},[15158],{"type":25,"value":15159},"Whether you're a media network seeking to increase ad revenue through stronger match rates or a QSR looking to unify customer experiences across touchpoints, Composable Identity provides the flexibility and transparency that complex enterprises demand.",{"type":20,"tag":21,"props":15161,"children":15162},{},[15163],{"type":20,"tag":44,"props":15164,"children":15166},{"href":2150,"rel":15165},[538],[15167,15169],{"type":25,"value":15168},"To learn more about Composable Identity with Narrative, ",{"type":20,"tag":33,"props":15170,"children":15171},{},[15172],{"type":25,"value":15173},"book a demo with our team.",{"title":8,"searchDepth":193,"depth":193,"links":15175},[15176,15177,15178,15183,15187],{"id":14845,"depth":193,"text":14851},{"id":14907,"depth":193,"text":14913},{"id":5003,"depth":193,"text":7621,"children":15179},[15180,15181,15182],{"id":14984,"depth":380,"text":14990},{"id":15035,"depth":380,"text":15041},{"id":15061,"depth":380,"text":15067},{"id":15086,"depth":193,"text":15092,"children":15184},[15185,15186],{"id":15100,"depth":380,"text":15106},{"id":15124,"depth":380,"text":15130},{"id":15143,"depth":193,"text":15149},"content:blog:hightouch-announces-composable-identity-partnership-with-narrative.md","blog/hightouch-announces-composable-identity-partnership-with-narrative.md","blog/hightouch-announces-composable-identity-partnership-with-narrative",{"loc":14797},{"_path":15193,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":15194,"description":15195,"publishDate":15196,"author":12,"ogImage":15197,"image":15197,"tags":15198,"body":15199,"_type":195,"_id":15469,"_source":197,"_file":15470,"_stem":15471,"_extension":200,"sitemap":15472},"/blog/how-cfos-can-use-data-to-improve-financial-performance","How CFOs Can Use Data to Improve Financial Performance","Learn how the strategic use of internal and external data can improve the financial performance of your company. ","2022-08-11 16:19:42","/img/blog/2022/08/04-7.png",[15],{"type":17,"children":15200,"toc":15461},[15201,15206,15217,15238,15243,15249,15254,15268,15274,15279,15291,15296,15302,15307,15319,15340,15353,15359,15369,15374,15384,15390,15403,15408,15420,15426,15437,15449],{"type":20,"tag":21,"props":15202,"children":15203},{},[15204],{"type":25,"value":15205},"As a Chief Financial Officer, you’re always looking for ways to improve the financial performance of your company.  One of the key components that impacts the financial performance of your company is the strategic use of internal and external data. By using data effectively, you can identify areas of opportunity, create cost-effective solutions, and maximize revenue for your company.",{"type":20,"tag":21,"props":15207,"children":15208},{},[15209,15211,15216],{"type":25,"value":15210},"Internal data provides the foundational building blocks for data-driven decision-making, while ",{"type":20,"tag":44,"props":15212,"children":15213},{"href":78},[15214],{"type":25,"value":15215},"external data can fill in the gaps and extend the reach of your data-driven initiatives to give you a competitive edge",{"type":25,"value":191},{"type":20,"tag":21,"props":15218,"children":15219},{},[15220,15222,15227,15229,15236],{"type":25,"value":15221},"External data, also known as ",{"type":20,"tag":44,"props":15223,"children":15224},{"href":46},[15225],{"type":25,"value":15226},"third-party data",{"type":25,"value":15228},", is data that is collected from outside of an organization. In a ",{"type":20,"tag":44,"props":15230,"children":15233},{"href":15231,"rel":15232},"https://www2.deloitte.com/us/en/insights/focus/signals-for-strategists/smart-analytics-with-external-data.html",[538],[15234],{"type":25,"value":15235},"recent survey",{"type":25,"value":15237},", nearly half of companies reported using external data in their analytics activities, and 92% of data analytics professionals said their firms needed to increase use of external data sources. Additionally, about 54% surveyed said their companies plan to increase spending on it.",{"type":20,"tag":21,"props":15239,"children":15240},{},[15241],{"type":25,"value":15242},"Applying external data sources can help CFOs budget, mitigate risk, make better predictions, and plan better when allocating resources and launching initiatives. Sourcing the right external data can have a huge financial impact on your organization, if you know how to use it effectively.",{"type":20,"tag":1495,"props":15244,"children":15246},{"id":15245},"use-external-data-to-improve-planning-and-analysis",[15247],{"type":25,"value":15248},"Use external data to improve planning and analysis",{"type":20,"tag":21,"props":15250,"children":15251},{},[15252],{"type":25,"value":15253},"External data can improve the accuracy of your  financial models  by illuminating the blind spots that internal data may miss. By incorporating data from outside your organization, you can get a more complete picture of your financial situation and make better decisions about planning and allocation of resources.",{"type":20,"tag":21,"props":15255,"children":15256},{},[15257,15259,15266],{"type":25,"value":15258},"For instance, competitor data can help CFOs identify and avoid the mistakes that their competitors have already lost money on. ",{"type":20,"tag":44,"props":15260,"children":15263},{"href":15261,"rel":15262},"https://www.narrative.io/data-types/purchase-transaction-data",[538],[15264],{"type":25,"value":15265},"Transaction data",{"type":25,"value":15267}," can help CFOs analyze their sales compared to overall market sales and identify missed opportunities. There are many different types of data from many different types of sources that can greatly improve and enhance financial models, planning, and analysis.",{"type":20,"tag":1495,"props":15269,"children":15271},{"id":15270},"use-external-data-to-improve-budgeting-and-forecasting",[15272],{"type":25,"value":15273},"Use external data to improve budgeting and forecasting",{"type":20,"tag":21,"props":15275,"children":15276},{},[15277],{"type":25,"value":15278},"In a post-pandemic world, uncertainty and volatility are becoming more of the norm than the exception when it comes to business. As a CFO, you must be more flexible with budgeting and resources in order to respond to change quickly and effectively. External data sources can help you better predict and plan for potential future events, and enable you  to adapt quickly to anything that may come up unexpectedly.",{"type":20,"tag":21,"props":15280,"children":15281},{},[15282,15284,15289],{"type":25,"value":15283},"Forecasting is more accurate and useful when it is powered by a mix of quality internal and external data. Market data can help CFOs predict trends, sales, supply, and demand. It can also help you make decisions when it comes to budgeting and allocating resources. For example, ",{"type":20,"tag":44,"props":15285,"children":15286},{"href":5530},[15287],{"type":25,"value":15288},"location data",{"type":25,"value":15290}," can help CFOs make the right financial decisions when it comes to allocating resources toward store locations.",{"type":20,"tag":21,"props":15292,"children":15293},{},[15294],{"type":25,"value":15295},"By acquiring the data that illustrates the financial state of your market and your competition, your organization can stay ahead of the curve when it comes to making better financial decisions and strategies.",{"type":20,"tag":1495,"props":15297,"children":15299},{"id":15298},"use-a-data-collaboration-platform-to-centralize-your-data-procurement-operations",[15300],{"type":25,"value":15301},"Use a data collaboration platform to centralize your data procurement operations",{"type":20,"tag":21,"props":15303,"children":15304},{},[15305],{"type":25,"value":15306},"You know that the best CFOs are leveraging external data to gain deeper financial insights, create better strategies, and predict mistakes before they happen. All of this can’t be done effectively with just internal data. CFOs need a steady stream of external data in order to build more accurate predictive models and make better decisions in every financial area.",{"type":20,"tag":21,"props":15308,"children":15309},{},[15310,15312,15317],{"type":25,"value":15311},"However, finding and acquiring this external data can be a tedious, time-consuming, and expensive process. To acquire the most relevant data and gain the richest insights, CFOs must systematically integrate quality external data sources with their internal data. Using a ",{"type":20,"tag":44,"props":15313,"children":15315},{"href":772,"rel":15314},[538],[15316],{"type":25,"value":776},{"type":25,"value":15318}," will automate, simplify, and expedite this process.",{"type":20,"tag":21,"props":15320,"children":15321},{},[15322,15324,15329,15331,15338],{"type":25,"value":15323},"A data collaboration platform connects ",{"type":20,"tag":44,"props":15325,"children":15326},{"href":324},[15327],{"type":25,"value":15328},"data buyers",{"type":25,"value":15330}," with many ",{"type":20,"tag":44,"props":15332,"children":15335},{"href":15333,"rel":15334},"https://www.narrative.io/distribute",[538],[15336],{"type":25,"value":15337},"data providers",{"type":25,"value":15339}," in one place, so that buyers can purchase from multiple sources at once. It also gives buyers full control of what data they’re ingesting and from whom. You’ll be able to pick and choose the exact data points you want from the exact providers you want and have it delivered to your preferred endpoint all at once, without worrying about duplicate data.",{"type":20,"tag":21,"props":15341,"children":15342},{},[15343,15345,15351],{"type":25,"value":15344},"Buying from a data collaboration platform also ",{"type":20,"tag":44,"props":15346,"children":15348},{"href":15347},"/blog/how-to-save-time-get-clean-data-automatically-streamline-data-wrangling",[15349],{"type":25,"value":15350},"ensures that you won’t buy duplicate data points or data you don’t need",{"type":25,"value":15352},". You won’t have to waste money on buying the same data points twice, or on data that you don’t really need. You’ll be able to filter through and select only the data that will benefit your financial planning needs.",{"type":20,"tag":1495,"props":15354,"children":15356},{"id":15355},"improve-internal-data-accessibility-with-data-sharing",[15357],{"type":25,"value":15358},"Improve internal data accessibility with data sharing",{"type":20,"tag":21,"props":15360,"children":15361},{},[15362,15367],{"type":20,"tag":44,"props":15363,"children":15364},{"href":6874},[15365],{"type":25,"value":15366},"Data sharing",{"type":25,"value":15368}," is the act of making data available to other individuals or groups within an organization. Companies that share data make better informed business decisions and provide better clarity across their organization. In fact, 76% of finance leaders say decision makers increasingly have access to important data about business operations and performance through systems/providers outside of finance.",{"type":20,"tag":21,"props":15370,"children":15371},{},[15372],{"type":25,"value":15373},"A CFO’s access to data from other departments within their own organization keeps them up-to-date with everything they need to know to make the best financial decisions. The most accurate and successful financial planning and strategy is made when every aspect of a company is taken into account. With direct access to all sales data, product data, marketing data, and more, you’ll be able to put all of the pieces of your financial puzzle together.  ",{"type":20,"tag":21,"props":15375,"children":15376},{},[15377,15378,15382],{"type":25,"value":769},{"type":20,"tag":44,"props":15379,"children":15380},{"href":558},[15381],{"type":25,"value":776},{"type":25,"value":15383}," provides software that would enable you to transfer that important data between internal departments. With a data collaboration platform, everything is automated and data sharing is made fast and easy, even if you have no technical expertise. By setting up internal data commerce between departments and creating an easily usable and accessible data ecosystem for your company, departments can share their relevant data with each other seamlessly. You’ll be able to receive the data that you need from each department quickly and easily.",{"type":20,"tag":1495,"props":15385,"children":15387},{"id":15386},"sell-your-own-organizations-data-to-generate-a-new-revenue-stream",[15388],{"type":25,"value":15389},"Sell your own organization’s data to generate a new revenue stream",{"type":20,"tag":21,"props":15391,"children":15392},{},[15393,15395,15401],{"type":25,"value":15394},"Just as you’re willing to spend money to get the external data that your company needs to improve, countless other organizations are willing to spend the money to get the data they need from you to improve. It’s a beneficial cycle that keeps the data economy booming. The ",{"type":20,"tag":44,"props":15396,"children":15398},{"href":15333,"rel":15397},[538],[15399],{"type":25,"value":15400},"data monetization",{"type":25,"value":15402}," industry is getting more profitable each year, and most organizations have already started entering the market or have been formulating a plan to enter it soon.",{"type":20,"tag":21,"props":15404,"children":15405},{},[15406],{"type":25,"value":15407},"As a CFO, you’re always looking for ways to generate more revenue. Selling data assets that your company is constantly collecting is one of the best ways to start raking in a new stream of revenue without too much risk. You know there are companies willing to buy your data sources, and that data is already sitting in hard drives waiting to be used. It just needs to be packaged and put into a marketplace.",{"type":20,"tag":21,"props":15409,"children":15410},{},[15411,15413,15418],{"type":25,"value":15412},"Turning your own data assets into a new stream of revenue can seem daunting, but the barriers to entry have significantly lowered with the introduction of new technology and more modern methods of data monetization. Nowadays, you can ",{"type":20,"tag":44,"props":15414,"children":15415},{"href":620},[15416],{"type":25,"value":15417},"start selling your company’s data",{"type":25,"value":15419}," with just a few clicks and start generating a new stream of revenue quickly and easily.",{"type":20,"tag":1495,"props":15421,"children":15423},{"id":15422},"how-narrative-can-help-cfos-improve-financial-performance",[15424],{"type":25,"value":15425},"How Narrative can help CFOs improve financial performance",{"type":20,"tag":21,"props":15427,"children":15428},{},[15429,15431,15435],{"type":25,"value":15430},"Gain access to new data sources for projects and initiatives with ",{"type":20,"tag":44,"props":15432,"children":15433},{"href":558},[15434],{"type":25,"value":7181},{"type":25,"value":15436},". You'll be able to optimize spend by centralizing data procurement, while enjoying the ability to use automatic deduplication and custom filters to buy just what you need and nothing you don’t.",{"type":20,"tag":21,"props":15438,"children":15439},{},[15440,15442,15447],{"type":25,"value":15441},"You'll also be able to generate new revenue by commercializing the data you are already collecting. Using our ",{"type":20,"tag":44,"props":15443,"children":15444},{"href":566},[15445],{"type":25,"value":15446},"user-friendly apps",{"type":25,"value":15448},", you can quickly and easily launch a lucrative data business online, even if you have no technical expertise or coding experience. We automate and simplify every step of the process.",{"type":20,"tag":21,"props":15450,"children":15451},{},[15452,15454,15459],{"type":25,"value":15453},"Want to learn how Narrative can help you acquire new data sources, improve operational efficiency, and generate revenue? ",{"type":20,"tag":44,"props":15455,"children":15456},{"href":180},[15457],{"type":25,"value":15458},"Get in contact with our experts today to get started",{"type":25,"value":15460},"!",{"title":8,"searchDepth":193,"depth":193,"links":15462},[15463,15464,15465,15466,15467,15468],{"id":15245,"depth":193,"text":15248},{"id":15270,"depth":193,"text":15273},{"id":15298,"depth":193,"text":15301},{"id":15355,"depth":193,"text":15358},{"id":15386,"depth":193,"text":15389},{"id":15422,"depth":193,"text":15425},"content:blog:how-cfos-can-use-data-to-improve-financial-performance.md","blog/how-cfos-can-use-data-to-improve-financial-performance.md","blog/how-cfos-can-use-data-to-improve-financial-performance",{"loc":15193},{"_path":15474,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":15475,"description":15476,"publishDate":15477,"author":12,"ogImage":15478,"image":15478,"tags":15479,"body":15480,"_type":195,"_id":15730,"_source":197,"_file":15731,"_stem":15732,"_extension":200,"sitemap":15733},"/blog/how-data-can-help-recession-proof-your-company","How Data Can Help Recession-Proof Your Company","As the US economy enters a precarious future, the world of data is thriving. Learn how can you use this ever-growing data boom to recession-proof your company. ","2022-09-21 16:04:51","/img/blog/2022/09/04-9.png",[15],{"type":17,"children":15481,"toc":15728},[15482,15494,15508,15513,15523,15535,15547,15556,15565,15577,15586,15599,15621,15634,15659,15668,15678,15711],{"type":20,"tag":21,"props":15483,"children":15484},{},[15485,15492],{"type":20,"tag":44,"props":15486,"children":15489},{"href":15487,"rel":15488},"https://www.cnn.com/2022/08/22/economy/nabe-economists-recession-inflation/index.html",[538],[15490],{"type":25,"value":15491},"Seventy-two percent of economists expect the next US recession will begin by the middle of next year",{"type":25,"value":15493},", if it hasn't already started. The looming threat of a recession is making organizations understandably nervous. Businesses can suffer during a recession due to demand (and thus revenue) decreasing and uncertainty about the future increasing. But in the midst of all of this economic uncertainty, the data boom is still growing.",{"type":20,"tag":21,"props":15495,"children":15496},{},[15497,15499,15506],{"type":25,"value":15498},"Last year, ",{"type":20,"tag":44,"props":15500,"children":15503},{"href":15501,"rel":15502},"https://firstsiteguide.com/big-data-stats/",[538],[15504],{"type":25,"value":15505},"nearly 79 zettabytes (79 plus a whopping 21 zeros) of data were generated by businesses and consumers worldwide",{"type":25,"value":15507},". Data is being generated in overwhelming numbers every single day, and that data is consistently in high demand. The appetite for instant, accurate outcomes by consumers and businesses alike is feeding the data boom more than ever before. “Instant” and “personalized” are driving the economy, and data is powering that vehicle.",{"type":20,"tag":21,"props":15509,"children":15510},{},[15511],{"type":25,"value":15512},"As the US economy enters a precarious future, the world of data is thriving. So how can you use this ever-growing data boom to recession-proof your company? There are a few important steps that you can take.",{"type":20,"tag":28,"props":15514,"children":15516},{"id":15515},"enrich-your-data-to-stay-relevant-and-competitive",[15517,15522],{"type":20,"tag":33,"props":15518,"children":15519},{},[15520],{"type":25,"value":15521},"Enrich your data to stay relevant and competitive",{"type":25,"value":13677},{"type":20,"tag":21,"props":15524,"children":15525},{},[15526,15528,15533],{"type":25,"value":15527},"The first-party data that you collect is undoubtedly important. However, first-party data can only do so much when it comes to understanding and targeting your audience. ",{"type":20,"tag":44,"props":15529,"children":15530},{"href":78},[15531],{"type":25,"value":15532},"Enriching your data",{"type":25,"value":15534}," is the process of incorporating raw data from external sources into your first-party data in order to fill in any gaps and add new information. You might think that you have a good handle on who your customers are, but looking into a competitor’s audience might give you the insight you’ve been needing to stay relevant and take your company to the next level.",{"type":20,"tag":21,"props":15536,"children":15537},{},[15538,15540,15545],{"type":25,"value":15539},"If you aren’t ",{"type":20,"tag":44,"props":15541,"children":15542},{"href":155},[15543],{"type":25,"value":15544},"enriching your data",{"type":25,"value":15546}," with external data sources, you will likely fall behind as competitors continue to fine-tune their products, experiences, and messaging to be ultra-personalized and reach new audiences with their expanding insights. If the economy continues to trend toward a recession, customers will be even more discerning with each dollar spent, and they will want to invest in the brands that are meeting their exact preferences and needs. You’ll need to get to know your customers even better in order to avoid losing them.",{"type":20,"tag":28,"props":15548,"children":15550},{"id":15549},"create-an-internal-data-ecosystem",[15551],{"type":20,"tag":33,"props":15552,"children":15553},{},[15554],{"type":25,"value":15555},"Create an internal data ecosystem",{"type":20,"tag":21,"props":15557,"children":15558},{},[15559,15563],{"type":20,"tag":44,"props":15560,"children":15561},{"href":6874},[15562],{"type":25,"value":15366},{"type":25,"value":15564},", or the process of seamlessly sharing data between all departments of your company, is becoming more crucial as data continues to pour in through multiple channels. As demand and trends fluctuate with the economy, it’s more important than ever to make sure that every sector of a company is on the same page when it comes to strategies and objectives.",{"type":20,"tag":21,"props":15566,"children":15567},{},[15568,15575],{"type":20,"tag":44,"props":15569,"children":15572},{"href":15570,"rel":15571},"https://www.gartner.com/smarterwithgartner/data-sharing-is-a-business-necessity-to-accelerate-digital-business#:~:text=Gartner%20predicts%20that%20by%202023,and%20locate%20trusted%20data%20sources.",[538],[15573],{"type":25,"value":15574},"According to Gartner",{"type":25,"value":15576},", data sharing is becoming a “business necessity” and organizations that engage in data sharing will outperform their competitors on most business value metrics. That’s because keeping an open data ecosystem reduces confusion, promotes communication and better problem-solving, and unites an organization under the same challenges, goals, and initiatives. A united front can better handle whatever curve-balls an incoming recession might throw your way.",{"type":20,"tag":28,"props":15578,"children":15580},{"id":15579},"generate-new-revenue-streams",[15581],{"type":20,"tag":33,"props":15582,"children":15583},{},[15584],{"type":25,"value":15585},"Generate new revenue streams",{"type":20,"tag":21,"props":15587,"children":15588},{},[15589,15591,15597],{"type":25,"value":15590},"Data is a constant in the ever-changing digital economy. All companies need it and all companies are constantly seeking more of it in order to improve. Because organizations have so many valuable data assets and can trust that data is going to continue to be a major player in enterprise for decades, many businesses are realizing that ",{"type":20,"tag":44,"props":15592,"children":15594},{"href":15333,"rel":15593},[538],[15595],{"type":25,"value":15596},"starting a data business",{"type":25,"value":15598}," is a pretty lucrative strategy.",{"type":20,"tag":21,"props":15600,"children":15601},{},[15602,15604,15611,15613,15619],{"type":25,"value":15603},"Demand for data will never go away because it will always be valuable and necessary. In fact, the data monetization market is expected to ",{"type":20,"tag":44,"props":15605,"children":15608},{"href":15606,"rel":15607},"https://www.polarismarketresearch.com/industry-analysis/data-monetization-market",[538],[15609],{"type":25,"value":15610},"grow at a CAGR of 19.6%",{"type":25,"value":15612}," from now until 2030, eventually projected to be generating over $12 billion in revenue. The data monetization market isn’t anticipating any downward trends, despite the economic worries that are emerging. Data is sought out by most organizations and simultaneously being generated constantly by them, creating an ever-flowing economy that isn’t likely to slow down. It’s a no-brainer to ",{"type":20,"tag":44,"props":15614,"children":15616},{"href":15333,"rel":15615},[538],[15617],{"type":25,"value":15618},"monetize the data assets",{"type":25,"value":15620}," that your organization is constantly collecting because it’s likely many other organizations are looking for the exact data that you have to offer, and it’s not making any money sitting in storage.",{"type":20,"tag":21,"props":15622,"children":15623},{},[15624,15626,15632],{"type":25,"value":15625},"The major roadblock for organizations when they entertain the idea of ",{"type":20,"tag":44,"props":15627,"children":15629},{"href":15333,"rel":15628},[538],[15630],{"type":25,"value":15631},"launching a data business",{"type":25,"value":15633}," is that it has historically been expensive and cumbersome to do so. In order to make a data sale, companies have often had to spend an exorbitant amount of money and time finding an interested buyer, negotiating with that buyer, and then formatting and transferring data to that buyer. Just one transaction can take months to years. The other option most companies have is to sell data to a data broker, but this does not usually yield an abundance of revenue and companies have no control over what happens to their data once it has been sold.",{"type":20,"tag":21,"props":15635,"children":15636},{},[15637,15639,15644,15646,15651,15653,15657],{"type":25,"value":15638},"However, there is good news. Part of the reason that the data monetization market continues to thrive is that the barriers to entry are being lowered and innovation is rapidly progressing to streamline data collaboration. ",{"type":20,"tag":44,"props":15640,"children":15641},{"href":558},[15642],{"type":25,"value":15643},"Data collaboration platforms",{"type":25,"value":15645}," are now the way to go when it comes to creating a data business. These platforms provide automated tools that simplify the entire process of ",{"type":20,"tag":44,"props":15647,"children":15648},{"href":620},[15649],{"type":25,"value":15650},"selling data",{"type":25,"value":15652},", making it cheaper and easier than ever before. You can upload your data, package it into ",{"type":20,"tag":44,"props":15654,"children":15655},{"href":823},[15656],{"type":25,"value":11067},{"type":25,"value":15658},", and then distribute it to multiple buyers through a straightforward and streamlined process.",{"type":20,"tag":28,"props":15660,"children":15662},{"id":15661},"narratives-data-collaboration-platform-provides-everything-you-need-to-buy-share-and-sell-data",[15663],{"type":20,"tag":33,"props":15664,"children":15665},{},[15666],{"type":25,"value":15667},"Narrative’s data collaboration platform provides everything you need to buy, share, and sell data",{"type":20,"tag":21,"props":15669,"children":15670},{},[15671,15672,15676],{"type":25,"value":769},{"type":20,"tag":44,"props":15673,"children":15674},{"href":558},[15675],{"type":25,"value":776},{"type":25,"value":15677}," is software that simplifies, automates, and centralizes the sharing of data assets. Narrative is the world’s #1 data collaboration platform, making buying and selling data faster and easier than it has ever been.",{"type":20,"tag":21,"props":15679,"children":15680},{},[15681,15683,15689,15691,15696,15698,15703,15705,15710],{"type":25,"value":15682},"We provide the cutting-edge tools that you need for everything related to data collaboration, as well as a ",{"type":20,"tag":44,"props":15684,"children":15686},{"href":781,"rel":15685},[538],[15687],{"type":25,"value":15688},"marketplace to exchange data assets",{"type":25,"value":15690}," and ongoing assistance from our ",{"type":20,"tag":44,"props":15692,"children":15693},{"href":180},[15694],{"type":25,"value":15695},"experts",{"type":25,"value":15697},". With the self-service tools provided and custom controls, anyone (even an intern) can use our point-and-click interface to ",{"type":20,"tag":44,"props":15699,"children":15700},{"href":12062},[15701],{"type":25,"value":15702},"find and buy the exact data they need",{"type":25,"value":15704},", create a data sharing ecosystem between internal departments, or ",{"type":20,"tag":44,"props":15706,"children":15707},{"href":337},[15708],{"type":25,"value":15709},"build data products and an e-commerce data business to sell their data assets",{"type":25,"value":191},{"type":20,"tag":21,"props":15712,"children":15713},{},[15714,15719,15720],{"type":20,"tag":33,"props":15715,"children":15716},{},[15717],{"type":25,"value":15718},"Get started as soon as today.",{"type":25,"value":177},{"type":20,"tag":44,"props":15721,"children":15722},{"href":180},[15723],{"type":20,"tag":33,"props":15724,"children":15725},{},[15726],{"type":25,"value":15727},"Request a demo with our experts.",{"title":8,"searchDepth":193,"depth":193,"links":15729},[],"content:blog:how-data-can-help-recession-proof-your-company.md","blog/how-data-can-help-recession-proof-your-company.md","blog/how-data-can-help-recession-proof-your-company",{"loc":15474},{"_path":7153,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":7156,"description":15735,"publishDate":15736,"author":3778,"ogImage":15737,"image":15737,"tags":15738,"body":15740,"_type":195,"_id":15836,"_source":197,"_file":15837,"_stem":15838,"_extension":200,"sitemap":15839},"Narrative makes it easy for companies like Froyoo to centralize their data acquisition strategy and scale identity graph creation.","2022-06-24 16:05:13","/img/blog/2022/06/froyoo.png",[4365,15739],"success stories",{"type":17,"children":15741,"toc":15834},[15742,15747,15756,15761,15766,15771,15780,15791,15801,15810,15815],{"type":20,"tag":21,"props":15743,"children":15744},{},[15745],{"type":25,"value":15746},"Narrative makes it easy for companies like Froyoo to link disparate identifiers into one comprehensive profile and centralize their data acquisition strategy.",{"type":20,"tag":28,"props":15748,"children":15750},{"id":15749},"the-challenge",[15751],{"type":20,"tag":33,"props":15752,"children":15753},{},[15754],{"type":25,"value":15755},"The Challenge",{"type":20,"tag":21,"props":15757,"children":15758},{},[15759],{"type":25,"value":15760},"Froyoo is creating cross-device digital identity graphs and identity solutions focused exclusively on MENA (Middle East and North Africa), the world's fastest developing regions. They use hashed email, mobile ad IDs, and location data to create robust identity graphs, which are used to help their own customers reach their business goals.",{"type":20,"tag":21,"props":15762,"children":15763},{},[15764],{"type":25,"value":15765},"Before Narrative, Froyoo’s data acquisition strategy relied heavily on one-to-one relationships with suppliers. Since Froyoo’s area of focus is the niche market of Middle East and Africa, they needed to have a good number of suppliers in order to ensure high quality and reliable data. They were spending a large chunk of their internal resources on finding the best suppliers, building relationships with each separate supplier, negotiating prices for each direct purchase, and finalizing multiple contracts in order to obtain the data they needed to run a successful venture.",{"type":20,"tag":21,"props":15767,"children":15768},{},[15769],{"type":25,"value":15770},"This outdated process of acquiring data was time-consuming, expensive, and labor-intensive. They were spending thousands of dollars and countless hours to acquire the specific data they needed in a fragmented landscape. Froyoo needed a way to continuously acquire data from multiple sources all at once and all under one contract.",{"type":20,"tag":28,"props":15772,"children":15774},{"id":15773},"the-solution",[15775],{"type":20,"tag":33,"props":15776,"children":15777},{},[15778],{"type":25,"value":15779},"The Solution",{"type":20,"tag":21,"props":15781,"children":15782},{},[15783,15785,15789],{"type":25,"value":15784},"In order to centralize their data acquisition strategy and have access to multiple suppliers all under one contract, Froyoo decided to leverage Narrative’s ",{"type":20,"tag":44,"props":15786,"children":15787},{"href":572},[15788],{"type":25,"value":575},{"type":25,"value":15790},". This solution gave them the ability to find and purchase the exact MENA data they needed from multiple providers in a fraction of the time it had taken them previously.  ",{"type":20,"tag":21,"props":15792,"children":15793},{},[15794,15795,15799],{"type":25,"value":334},{"type":20,"tag":44,"props":15796,"children":15797},{"href":572},[15798],{"type":25,"value":575},{"type":25,"value":15800},", Froyoo was able to access trillions of rows of raw data from numerous providers and customize their data delivery to be only cross-device data from the Middle East and Africa. They were able to create a custom monthly data subscription that delivers their MENA identity data to them on their preferred schedule, at their preferred budget, and to their preferred endpoint.",{"type":20,"tag":28,"props":15802,"children":15804},{"id":15803},"the-results",[15805],{"type":20,"tag":33,"props":15806,"children":15807},{},[15808],{"type":25,"value":15809},"The Results",{"type":20,"tag":21,"props":15811,"children":15812},{},[15813],{"type":25,"value":15814},"Froyoo now has a customized ID mapping data monthly subscription, which provides them an ongoing delivery of mobile devices linked to hash emails in MENA countries. They now have a centralized data acquisition strategy that allows them to focus time and energy on creating the best identity graphs and solutions for their customers. As Froyoo continues to use Narrative for their data acquisition needs and discover new data providers, they are able to grow and launch new and exciting projects. Just last month, Froyoo initiated a new location project, adding geolocation observations to their ID mapping subscription.",{"type":20,"tag":21,"props":15816,"children":15817},{},[15818,15820,15826,15828,15833],{"type":25,"value":15819},"Want to ",{"type":20,"tag":44,"props":15821,"children":15823},{"href":14218,"rel":15822},[538],[15824],{"type":25,"value":15825},"find and buy",{"type":25,"value":15827}," the data you need to succeed? We can help you get started ",{"type":20,"tag":44,"props":15829,"children":15830},{"href":180},[15831],{"type":25,"value":15832},"here",{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":15835},[],"content:blog:how-froyoo-uses-narrative-to-scale-identity-graph-creation.md","blog/how-froyoo-uses-narrative-to-scale-identity-graph-creation.md","blog/how-froyoo-uses-narrative-to-scale-identity-graph-creation",{"loc":7153},{"_path":7142,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":7145,"description":15841,"publishDate":15842,"author":3778,"ogImage":15843,"image":15843,"tags":15844,"body":15845,"_type":195,"_id":15976,"_source":197,"_file":15977,"_stem":15978,"_extension":200,"sitemap":15979},"Narrative allows IdenX to cherry-pick the data they need from hundreds of billions of raw data points and from multiple suppliers at once.","2022-07-26 18:12:26","/img/blog/2022/07/narrativeio-jobpost-01-4.png",[15739],{"type":17,"children":15846,"toc":15974},[15847,15853,15860,15865,15877,15884,15901,15906,15913,15918,15923,15929,15939],{"type":20,"tag":28,"props":15848,"children":15850},{"id":15849},"narrative-allows-idenx-to-cherry-pick-the-data-they-need-from-hundreds-of-billions-of-raw-data-points-and-from-multiple-suppliers-at-once",[15851],{"type":25,"value":15852},"Narrative allows IdenX to cherry-pick the data they need from hundreds of billions of raw data points and from multiple suppliers at once",{"type":20,"tag":28,"props":15854,"children":15855},{"id":15749},[15856],{"type":20,"tag":33,"props":15857,"children":15858},{},[15859],{"type":25,"value":15755},{"type":20,"tag":21,"props":15861,"children":15862},{},[15863],{"type":25,"value":15864},"IdenX helps companies deliver exceptional business results by generating insights with leading AI technology and industry-specific knowledge. To deliver the best solutions to their customers, IdenX requires an extensive list of data points that spans multiple countries. In order to service a broad range of customers and their specific needs, IdenX needs to frequently acquire a variety of data, including demographics, location, language, device characteristics, and more.",{"type":20,"tag":21,"props":15866,"children":15867},{},[15868,15870,15875],{"type":25,"value":15869},"However, finding the range of quality data that they needed was proving tedious, expensive, and time-consuming when they tried going through traditional channels. Finding a centralized data acquisition solution was paramount in order for IdenX to be able to execute quickly and deliver the best results to their customers. That’s where ",{"type":20,"tag":44,"props":15871,"children":15873},{"href":772,"rel":15872},[538],[15874],{"type":25,"value":561},{"type":25,"value":15876}," came in.",{"type":20,"tag":28,"props":15878,"children":15879},{"id":15773},[15880],{"type":20,"tag":33,"props":15881,"children":15882},{},[15883],{"type":25,"value":15779},{"type":20,"tag":21,"props":15885,"children":15886},{},[15887,15888,15892,15893,15899],{"type":25,"value":9406},{"type":20,"tag":44,"props":15889,"children":15890},{"href":572},[15891],{"type":25,"value":575},{"type":25,"value":160},{"type":20,"tag":44,"props":15894,"children":15896},{"href":781,"rel":15895},[538],[15897],{"type":25,"value":15898},"centralized data marketplace",{"type":25,"value":15900}," allows IdenX to quickly and easily purchase numerous data points relevant to their specific customer needs. International coverage provides them the enhanced ability to service a range of clients. They’re able to pick and choose the exact attributes that they want from multiple sources and have it delivered to them all at once. There are no negotiations or contracts required and Narrative takes care of all the processing, so their data engineers can focus on more important tasks.",{"type":20,"tag":21,"props":15902,"children":15903},{},[15904],{"type":25,"value":15905},"Narrative Forecasting also lets the IdenX team have a better understanding of available data before making purchase decisions. They’re able to see estimated row counts and costs before they choose to ingest any particular data, so they always stay on budget and make the best informed decisions.",{"type":20,"tag":28,"props":15907,"children":15908},{"id":15803},[15909],{"type":20,"tag":33,"props":15910,"children":15911},{},[15912],{"type":25,"value":15809},{"type":20,"tag":21,"props":15914,"children":15915},{},[15916],{"type":25,"value":15917},"Using Narrative, IdenX has effectively automated and centralized their data acquisition. This frees up their time and resources so that they can focus on giving their customers the best service and experience possible.",{"type":20,"tag":21,"props":15919,"children":15920},{},[15921],{"type":25,"value":15922},"IdenX has purchased numerous data points in three to four markets and is able to enrich customer identifier lists as well as buy net-new data points. They are systematically using the vast range of international and national data that Narrative has to offer to their advantage and unlocking access to predictive, data-supported insights.",{"type":20,"tag":28,"props":15924,"children":15926},{"id":15925},"what-idenx-has-to-say-about-narrative",[15927],{"type":25,"value":15928},"What IdenX has to say about Narrative",{"type":20,"tag":21,"props":15930,"children":15931},{},[15932,15934],{"type":25,"value":15933},"\"Narrative allows us to quickly find, purchase, and aggregate the data that we need for specific projects. The flexibility of their data marketplace allows us to tap into dozens of global data providers without having to be concerned with duplicative data purchases, individual legal agreements with each vendor, and understanding how much data we will receive prior to purchase.\" - ",{"type":20,"tag":2347,"props":15935,"children":15936},{},[15937],{"type":25,"value":15938},"John Baker, CDO",{"type":20,"tag":21,"props":15940,"children":15941},{},[15942,15947,15948,15956,15957,15962,15963,15970],{"type":20,"tag":33,"props":15943,"children":15944},{},[15945],{"type":25,"value":15946},"Want to",{"type":25,"value":177},{"type":20,"tag":44,"props":15949,"children":15951},{"href":14218,"rel":15950},[538],[15952],{"type":20,"tag":33,"props":15953,"children":15954},{},[15955],{"type":25,"value":15825},{"type":25,"value":177},{"type":20,"tag":33,"props":15958,"children":15959},{},[15960],{"type":25,"value":15961},"the data you need to succeed? 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Narrative streramlined the whole process saving time and money.","2024-01-31 16:14:30","/img/blog/2024/01/intuizi-case-study.png",[1262,1263,1264],{"type":17,"children":15988,"toc":16252},[15989,15994,15998,16003,16017,16030,16043,16056,16061,16065,16070,16095,16108,16121,16134,16156,16169,16174,16178,16182,16195,16208,16221,16234,16239],{"type":20,"tag":21,"props":15990,"children":15991},{},[15992],{"type":25,"value":15993},"Effective data collaboration and monetization are crucial for businesses seeking to maximize their data's potential in the rapidly evolving digital landscape. Intuizi, a leading provider of anonymized first-party consented geo-location data, faced challenges in integrating and maximizing revenue streams from its vast data assets. This use case explores how Narrative’s revolutionary AI-driven platform transformed Intuizi’s data collaboration and monetization approach.",{"type":20,"tag":223,"props":15995,"children":15996},{"id":15749},[15997],{"type":25,"value":15755},{"type":20,"tag":21,"props":15999,"children":16000},{},[16001],{"type":25,"value":16002},"Intuizi, renowned for its high-quality anonymized geo-location data, encountered several obstacles:",{"type":20,"tag":21,"props":16004,"children":16005},{},[16006,16012,16015],{"type":20,"tag":16007,"props":16008,"children":16009},"b",{},[16010],{"type":25,"value":16011},"Resource-Intensive Integrations:",{"type":20,"tag":2006,"props":16013,"children":16014},{},[],{"type":25,"value":16016},"\nLegal and business complexities made integrations with multiple platforms laborious and time-consuming.",{"type":20,"tag":21,"props":16018,"children":16019},{},[16020,16025,16028],{"type":20,"tag":16007,"props":16021,"children":16022},{},[16023],{"type":25,"value":16024},"Centralized Revenue Stream Management:",{"type":20,"tag":2006,"props":16026,"children":16027},{},[],{"type":25,"value":16029},"\nManaging a multitude of different revenue streams was cumbersome and inefficient.",{"type":20,"tag":21,"props":16031,"children":16032},{},[16033,16038,16041],{"type":20,"tag":16007,"props":16034,"children":16035},{},[16036],{"type":25,"value":16037},"Engineering Resource Constraints:",{"type":20,"tag":2006,"props":16039,"children":16040},{},[],{"type":25,"value":16042},"\nCapitalizing and integrating into diverse revenue streams required significant engineering efforts.",{"type":20,"tag":21,"props":16044,"children":16045},{},[16046,16051,16054],{"type":20,"tag":16007,"props":16047,"children":16048},{},[16049],{"type":25,"value":16050},"Distribution Challenges:",{"type":20,"tag":2006,"props":16052,"children":16053},{},[],{"type":25,"value":16055},"\nSetting up distribution channels was complex, hindering effective data monetization.",{"type":20,"tag":21,"props":16057,"children":16058},{},[16059],{"type":25,"value":16060},"These challenges limited Intuizi’s ability to surface insights locked inside its data assets and fully expand its market reach.",{"type":20,"tag":223,"props":16062,"children":16063},{"id":15773},[16064],{"type":25,"value":15779},{"type":20,"tag":21,"props":16066,"children":16067},{},[16068],{"type":25,"value":16069},"Narrative’s Data Collaboration Platform offered an innovative solution:",{"type":20,"tag":21,"props":16071,"children":16072},{},[16073,16078,16081,16083,16093],{"type":20,"tag":16007,"props":16074,"children":16075},{},[16076],{"type":25,"value":16077},"Direct Connector Framework:",{"type":20,"tag":2006,"props":16079,"children":16080},{},[],{"type":25,"value":16082},"\nEnabled ",{"type":20,"tag":16084,"props":16085,"children":16086},"ins",{},[16087],{"type":20,"tag":44,"props":16088,"children":16090},{"href":16089},"https://www.narrative.io/blog/the-trade-desk-connector",[16091],{"type":25,"value":16092},"seamless data transmission to The Trade Desk",{"type":25,"value":16094},", eliminating the need for extensive engineering resources.",{"type":20,"tag":21,"props":16096,"children":16097},{},[16098,16103,16106],{"type":20,"tag":16007,"props":16099,"children":16100},{},[16101],{"type":25,"value":16102},"AI-Powered Segmentation:",{"type":20,"tag":2006,"props":16104,"children":16105},{},[],{"type":25,"value":16107},"\nAutomated segmentation of raw data, further reducing the need for technical intervention.",{"type":20,"tag":21,"props":16109,"children":16110},{},[16111,16116,16119],{"type":20,"tag":16007,"props":16112,"children":16113},{},[16114],{"type":25,"value":16115},"Efficient UID2.0 Conversion:",{"type":20,"tag":2006,"props":16117,"children":16118},{},[],{"type":25,"value":16120},"\nStreamlined conversion processes, enhancing data usability for clients.",{"type":20,"tag":21,"props":16122,"children":16123},{},[16124,16129,16132],{"type":20,"tag":16007,"props":16125,"children":16126},{},[16127],{"type":25,"value":16128},"Marketplace Endpoint:",{"type":20,"tag":2006,"props":16130,"children":16131},{},[],{"type":25,"value":16133},"\nAuthorized data to Narrative's marketplace as an additional revenue stream without extra storage or processing.",{"type":20,"tag":21,"props":16135,"children":16136},{},[16137,16142,16145,16154],{"type":20,"tag":16007,"props":16138,"children":16139},{},[16140],{"type":25,"value":16141},"Data Cleaning and Standardization:",{"type":20,"tag":2006,"props":16143,"children":16144},{},[],{"type":20,"tag":16084,"props":16146,"children":16147},{},[16148],{"type":20,"tag":44,"props":16149,"children":16151},{"href":16150},"https://www.narrative.io/blog/seamlessly-acquire-data-with-rosetta-stone",[16152],{"type":25,"value":16153},"Ensured data consistency and quality",{"type":25,"value":16155}," before delivery, enhancing its market value.",{"type":20,"tag":21,"props":16157,"children":16158},{},[16159,16164,16167],{"type":20,"tag":16007,"props":16160,"children":16161},{},[16162],{"type":25,"value":16163},"Audience Building and Data Transfer:",{"type":20,"tag":2006,"props":16165,"children":16166},{},[],{"type":25,"value":16168},"\nSimplified query writing and data transfer to customer endpoints, broadening market opportunities.",{"type":20,"tag":21,"props":16170,"children":16171},{},[16172],{"type":25,"value":16173},"Narrative’s platform provided Intuizi with a comprehensive solution that addressed all aspects of data monetization and distribution.",{"type":20,"tag":223,"props":16175,"children":16176},{"id":15803},[16177],{"type":25,"value":15809},{"type":20,"tag":21,"props":16179,"children":16180},{},[16181],{"type":25,"value":16069},{"type":20,"tag":21,"props":16183,"children":16184},{},[16185,16190,16193],{"type":20,"tag":16007,"props":16186,"children":16187},{},[16188],{"type":25,"value":16189},"Revenue Growth:",{"type":20,"tag":2006,"props":16191,"children":16192},{},[],{"type":25,"value":16194},"\nA 30% increase in revenue was achieved through direct connections to The Trade Desk, bypassing conventional ad tech middlemen.",{"type":20,"tag":21,"props":16196,"children":16197},{},[16198,16203,16206],{"type":20,"tag":16007,"props":16199,"children":16200},{},[16201],{"type":25,"value":16202},"Market Expansion:",{"type":20,"tag":2006,"props":16204,"children":16205},{},[],{"type":25,"value":16207},"\nFortune 500 companies discovered Intuizi’s unique ability to find and reach their customers, significantly expanding Intuizi’s client base both within and outside Narrative’s marketplace.",{"type":20,"tag":21,"props":16209,"children":16210},{},[16211,16216,16219],{"type":20,"tag":16007,"props":16212,"children":16213},{},[16214],{"type":25,"value":16215},"Resource Optimization:",{"type":20,"tag":2006,"props":16217,"children":16218},{},[],{"type":25,"value":16220},"\nReduced reliance on engineering resources allowed Intuizi to focus on core business activities and strategy.",{"type":20,"tag":21,"props":16222,"children":16223},{},[16224,16229,16232],{"type":20,"tag":16007,"props":16225,"children":16226},{},[16227],{"type":25,"value":16228},"Broader Opportunities:",{"type":20,"tag":2006,"props":16230,"children":16231},{},[],{"type":25,"value":16233},"\nIntuizi can now tap into new markets and client segments, leveraging Narrative’s platform to reach a wider audience.",{"type":20,"tag":21,"props":16235,"children":16236},{},[16237],{"type":25,"value":16238},"In conclusion, Narrative’s AI-driven Data Collaboration Platform not only resolved Intuizi’s initial challenges but also unlocked new avenues for growth and innovation, demonstrating the transformative power of advanced data collaboration tools in today’s data-driven world.",{"type":20,"tag":21,"props":16240,"children":16241},{},[16242],{"type":20,"tag":44,"props":16243,"children":16244},{"href":180},[16245,16247],{"type":25,"value":16246},"Is your data interoperable? It can be with ",{"type":20,"tag":16007,"props":16248,"children":16249},{},[16250],{"type":25,"value":16251},"Narrative.",{"title":8,"searchDepth":193,"depth":193,"links":16253},[16254,16255,16256],{"id":15749,"depth":380,"text":15755},{"id":15773,"depth":380,"text":15779},{"id":15803,"depth":380,"text":15809},"content:blog:how-intuizi-expanded-its-market-reach-and-boosted-efficiency-with-narrative.md","blog/how-intuizi-expanded-its-market-reach-and-boosted-efficiency-with-narrative.md","blog/how-intuizi-expanded-its-market-reach-and-boosted-efficiency-with-narrative",{"loc":15981},{"_path":16262,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":16263,"description":16264,"publishDate":16265,"author":1259,"ogImage":16266,"image":16266,"tags":16267,"authorSlug":1265,"body":16269,"_type":195,"_id":16348,"_source":197,"_file":16349,"_stem":16350,"_extension":200,"sitemap":16351},"/blog/how-marketers-can-harness-the-power-of-data","From Chaos to Clarity: How Marketers Can Harness the Power of Data","Juggling multifaceted responsibilities as a marketer? Take data complexities off your list. Learn how in our latest blog post.","2023-06-07 13:39:53","/img/blog/2023/06/marketers-harness-data-PREVIEW.png",[1262,16268],"marketing",{"type":17,"children":16270,"toc":16346},[16271,16276,16281,16286,16291,16296,16314,16319,16324,16336,16341],{"type":20,"tag":21,"props":16272,"children":16273},{},[16274],{"type":25,"value":16275},"The modern marketer is a multidisciplinary juggler, constantly managing many tasks and skill sets. They are expected to be masters of data analytics, digital advertising, SEO, content creation, customer relations, and even behavioral psychology. Yet one of the most challenging aspects of the contemporary marketing landscape lies in the staggering volume of data at their disposal.",{"type":20,"tag":21,"props":16277,"children":16278},{},[16279],{"type":25,"value":16280},"Every click, like, share, comment, and purchase online contributes to the digital footprint of consumers, and these vast mountains of data can be a goldmine for marketers. However, far too often, marketers find themselves overwhelmed by the sheer volume of this data, struggling to distill valuable insights from the noise. Like prospectors panning for gold, they sift through endless data streams, often without the tools or skills needed to identify the nuggets of valuable information.",{"type":20,"tag":21,"props":16282,"children":16283},{},[16284],{"type":25,"value":16285},"The core of the problem is twofold. Firstly, marketers are confronted with many data sources – from CRM systems, web analytics, and social media monitoring to the latest IoT devices. These fragmented and often incompatible data sources make it difficult to establish a comprehensive and cohesive view of the customer journey. Secondly, marketers are expected to collect and collate and interpret this data, transforming raw data into actionable insights. This dual responsibility often stretches marketers thin and increases their workload significantly.",{"type":20,"tag":21,"props":16287,"children":16288},{},[16289],{"type":25,"value":16290},"Beyond the issue of data diversity and volume, there is the challenge of data literacy. Modern marketers need to be data-savvy, possessing the skills to interpret data and understand its limitations. They must grasp the nuances of data, discern correlations and causations, and make data-driven decisions while avoiding common pitfalls such as confirmation bias or over-reliance on certain data sets. The learning curve can be steep, and the pace of change is daunting.",{"type":20,"tag":21,"props":16292,"children":16293},{},[16294],{"type":25,"value":16295},"So, what can be done to ease these pains? Marketers need a comprehensive strategy and the right set of tools to navigate the data landscape effectively. Platforms with automated data integration can help consolidate disparate data sources, providing a unified view of the customer journey. These platforms should be user-friendly, intuitive, and capable of handling structured and unstructured data, allowing marketers to focus on analysis rather than data cleaning or integration.",{"type":20,"tag":21,"props":16297,"children":16298},{},[16299,16301,16305,16307,16312],{"type":25,"value":16300},"One game-changing solution for marketers in this data-intense landscape is using ",{"type":20,"tag":44,"props":16302,"children":16303},{"href":5259},[16304],{"type":25,"value":5262},{"type":25,"value":16306},". These innovative tools can facilitate access to a wide range of high-quality, custom-cut data sets. With these platforms, marketers no longer need to spend an exorbitant amount of time sifting through unrelated data or need to acquire specialized data scientist skills. They present the opportunity to seamlessly ",{"type":20,"tag":44,"props":16308,"children":16309},{"href":3646},[16310],{"type":25,"value":16311},"obtain tailor-made data",{"type":25,"value":16313}," pertinent to a marketer's specific needs. These platforms interface with various data sources and clean and curate the data according to the marketers' requirements. Consequently, marketers can quickly and easily access valuable, usable insights, saving precious time and resources. This added efficiency allows marketers to focus on what they do best - creating effective, data-driven marketing strategies. The adoption of data collaboration platforms thus represents a significant step forward in the quest for data clarity and efficiency in marketing.",{"type":20,"tag":21,"props":16315,"children":16316},{},[16317],{"type":25,"value":16318},"Next, marketers should seek to improve their data literacy. This doesn’t mean everyone needs to become a data scientist, but a basic understanding of statistical concepts and analytical techniques is invaluable. Regular training sessions, online courses, and workshops can give marketers the knowledge and confidence to manipulate and interpret data effectively.",{"type":20,"tag":21,"props":16320,"children":16321},{},[16322],{"type":25,"value":16323},"Another potential solution lies in embracing a collaborative approach. Data scientists and marketers can work together, bringing their unique skills. The former can focus on the technicalities of data management and analysis, while the latter can apply these insights to strategic decision-making. This synergy can lead to more effective, data-driven marketing strategies.",{"type":20,"tag":21,"props":16325,"children":16326},{},[16327,16329,16334],{"type":25,"value":16328},"Moreover, marketers should focus on ",{"type":20,"tag":44,"props":16330,"children":16331},{"href":6874},[16332],{"type":25,"value":16333},"getting the most out of their existing data",{"type":25,"value":16335}," before seeking new data sources. Quality often trumps quantity when it comes to data. A smaller, well-understood data set can often yield more valuable insights than a sprawling, poorly managed one. Prioritizing data hygiene and understanding can prevent marketers from drowning in data but starved of insights.",{"type":20,"tag":21,"props":16337,"children":16338},{},[16339],{"type":25,"value":16340},"Lastly, adopting advanced analytics tools and AI-powered platforms can automate much of the tedious data processing tasks. This saves time and enables marketers to uncover complex patterns and trends that would be impossible to detect manually. When used correctly, these tools can turn a deluge of data into a fountain of insights, empowering marketers to create more personalized, effective marketing campaigns.",{"type":20,"tag":21,"props":16342,"children":16343},{},[16344],{"type":25,"value":16345},"The struggle to extract real value from data is a significant challenge for today's marketers. However, they can transform this challenge into an opportunity with the right strategy, tools, and mindset. Rather than being overwhelmed by data, marketers can leverage it to understand their customers better, make better decisions, and ultimately drive business success. Embracing the data revolution is not just an option for the modern marketer; it's a necessity.",{"title":8,"searchDepth":193,"depth":193,"links":16347},[],"content:blog:how-marketers-can-harness-the-power-of-data.md","blog/how-marketers-can-harness-the-power-of-data.md","blog/how-marketers-can-harness-the-power-of-data",{"loc":16262},{"_path":16353,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":16354,"description":16355,"publishDate":16356,"author":12,"ogImage":16357,"image":16357,"tags":16358,"body":16359,"_type":195,"_id":16596,"_source":197,"_file":16597,"_stem":16598,"_extension":200,"sitemap":16599},"/blog/how-much-is-your-companys-data-worth","How Much is Your Company's Data Worth?","If you're interested in monetizing your company's data but aren't sure how much it's worth, this guide will give you a better understanding of how to measure the key contributing factors.","2022-07-06 21:22:03","/img/blog/2022/07/howmuchdataworth-2.png",[609,610],{"type":17,"children":16360,"toc":16589},[16361,16374,16387,16396,16401,16410,16422,16435,16444,16449,16454,16463,16476,16481,16490,16495,16500,16509,16514,16519,16528,16533,16545,16550,16555,16567,16572],{"type":20,"tag":21,"props":16362,"children":16363},{},[16364,16366,16373],{"type":25,"value":16365},"It’s no secret that one of the biggest assets your company has to offer is its data. By now, most business professionals have heard the phrase “data is the new oil.” It’s indisputable that, in the digital era, data has become one of the most valuable resources, and once that raw data is transformed, it can become an even more valuable product. In fact, the data monetization market is anticipated to reach ",{"type":20,"tag":44,"props":16367,"children":16370},{"href":16368,"rel":16369},"https://www.digitaljournal.com/pr/global-data-monetization-market-is-expected-to-reach-usd-9-09-billion-with-cagr-of-21-7-and-forecast-to-2027",[538],[16371],{"type":25,"value":16372},"$9.09 billion by 2027",{"type":25,"value":191},{"type":20,"tag":21,"props":16375,"children":16376},{},[16377,16379,16385],{"type":25,"value":16378},"Data provides valuable knowledge that leads to exponential innovation and growth in every sector. No matter what kind of data your company collects, there are other parties that would benefit greatly from acquiring it and learning from it. But how do you determine the value of the data that your company has to offer and ",{"type":20,"tag":44,"props":16380,"children":16382},{"href":15333,"rel":16381},[538],[16383],{"type":25,"value":16384},"how do you monetize that data",{"type":25,"value":16386},"?",{"type":20,"tag":28,"props":16388,"children":16390},{"id":16389},"determining-the-value-of-your-companys-data",[16391],{"type":20,"tag":33,"props":16392,"children":16393},{},[16394],{"type":25,"value":16395},"Determining the value of your company’s data",{"type":20,"tag":21,"props":16397,"children":16398},{},[16399],{"type":25,"value":16400},"One of the challenges of determining the worth of your organization’s data is that there is no exact formula or equation for companies to use. There are, however, key metrics that should be factored into your valuation.",{"type":20,"tag":1495,"props":16402,"children":16404},{"id":16403},"types-of-data",[16405],{"type":20,"tag":33,"props":16406,"children":16407},{},[16408],{"type":25,"value":16409},"Types of data",{"type":20,"tag":21,"props":16411,"children":16412},{},[16413,16415,16420],{"type":25,"value":16414},"First, understand what ",{"type":20,"tag":44,"props":16416,"children":16418},{"href":5512,"rel":16417},[538],[16419],{"type":25,"value":5516},{"type":25,"value":16421}," your company owns and how useful that data is. You probably have data on products, internal processes, employees, consumer behavior, transactions, finances, etc. Consider which types of data would be remarketable and valuable to outside companies. Could some of your data help other companies improve their processes? Could some of your data be helpful for identifying trends in your business category?",{"type":20,"tag":21,"props":16423,"children":16424},{},[16425,16427,16433],{"type":25,"value":16426},"If you are interested in selling any type of consumer data, make sure that it is the type of data that can be anonymized. ",{"type":20,"tag":44,"props":16428,"children":16430},{"href":7980,"rel":16429},[538],[16431],{"type":25,"value":16432},"Privacy",{"type":25,"value":16434}," is important and data must be anonymized before it is shared outside of your organization.",{"type":20,"tag":1495,"props":16436,"children":16438},{"id":16437},"uniqueness-and-usability",[16439],{"type":20,"tag":33,"props":16440,"children":16441},{},[16442],{"type":25,"value":16443},"Uniqueness and usability",{"type":20,"tag":21,"props":16445,"children":16446},{},[16447],{"type":25,"value":16448},"Next, you’ll want to determine how unique your data is. Is there something about your data that sets it apart from the data collected by other companies? What could other organizations learn from your data that they can’t learn from their own? Data that is especially rare, unique, or difficult to obtain will be more valuable than data that isn’t. If you are the only organization that has access to certain information, companies are more likely to pay larger price tags to obtain it.",{"type":20,"tag":21,"props":16450,"children":16451},{},[16452],{"type":25,"value":16453},"You must also strongly consider the usability of your data by external parties. Your data might be extremely usable in your own organization, but consider how other companies might apply your data to their own use cases. How might other companies use your data to improve, grow, or innovate? The more use cases your data can be used in, the better. More companies will seek out your data if they know that it will be a key component in driving results.",{"type":20,"tag":1495,"props":16455,"children":16457},{"id":16456},"accuracy-recency-and-resolution",[16458],{"type":20,"tag":33,"props":16459,"children":16460},{},[16461],{"type":25,"value":16462},"Accuracy, recency, and resolution",{"type":20,"tag":21,"props":16464,"children":16465},{},[16466,16468,16474],{"type":25,"value":16467},"Data is only as good as its detail and ",{"type":20,"tag":44,"props":16469,"children":16471},{"href":7980,"rel":16470},[538],[16472],{"type":25,"value":16473},"quality.",{"type":25,"value":16475}," The more detailed, relevant, reliable and accurate your data is, the more valuable it is. Determine the detail and relevancy of your data points and evaluate the overall quality of the data your organization has stored. Outside companies will validate data in order to determine its accuracy, so make sure yours is up to par.",{"type":20,"tag":21,"props":16477,"children":16478},{},[16479],{"type":25,"value":16480},"Also consider how “fresh” your data is. How long ago was it collected and how relevant will it remain into the future? Is your data generated on a daily basis? A weekly basis? More recent data is generally considered more valuable. However, historical data can also be valuable, depending on what type it is and what it is being used for.",{"type":20,"tag":1495,"props":16482,"children":16484},{"id":16483},"coverage-and-geography",[16485],{"type":20,"tag":33,"props":16486,"children":16487},{},[16488],{"type":25,"value":16489},"Coverage and geography",{"type":20,"tag":21,"props":16491,"children":16492},{},[16493],{"type":25,"value":16494},"The last key factors you’ll want to determine are the coverage and geography of your data. Does your data cover a broad region of markets or just a specific market? Can your data be used to create market-wide analysis? The more areas your data covers, the better. However, extremely niche data can also be very valuable based on scarcity.",{"type":20,"tag":21,"props":16496,"children":16497},{},[16498],{"type":25,"value":16499},"Geographic factors can also influence the value of your data. Is your data collected worldwide or does it cover a specific region? Data collected in big cities will offer a different sort of value than data collected in more rural areas.",{"type":20,"tag":1495,"props":16501,"children":16503},{"id":16502},"how-much-is-your-data-worth-within-your-organization",[16504],{"type":20,"tag":33,"props":16505,"children":16506},{},[16507],{"type":25,"value":16508},"How much is your data worth within your organization?",{"type":20,"tag":21,"props":16510,"children":16511},{},[16512],{"type":25,"value":16513},"Another way to look at your data’s value is to determine how much your data is worth within your own organization. How much labor has gone into collecting, cleaning, and storing your daya? How much would it cost to replace your data if it was lost? How much does your data contribute to the revenue of your organization?",{"type":20,"tag":21,"props":16515,"children":16516},{},[16517],{"type":25,"value":16518},"Answering questions like this could help organizations find a ballpark range of numeric value when they determine how much they might make by selling their data. Consider how much it has cost your own organization to collect your data and how much value it has generated for your company.",{"type":20,"tag":28,"props":16520,"children":16522},{"id":16521},"monetizing-your-organizations-data",[16523],{"type":20,"tag":33,"props":16524,"children":16525},{},[16526],{"type":25,"value":16527},"Monetizing your organization’s data",{"type":20,"tag":21,"props":16529,"children":16530},{},[16531],{"type":25,"value":16532},"After carefully evaluating all of the factors that go into determining the worth of your company’s data, you might realize that your data could be worth a lot more than you thought!",{"type":20,"tag":21,"props":16534,"children":16535},{},[16536,16538,16543],{"type":25,"value":16537},"But how do you ",{"type":20,"tag":44,"props":16539,"children":16540},{"href":620},[16541],{"type":25,"value":16542},"get started on selling that data",{"type":25,"value":16544},"? There are a number of ways that you can sell your data to other organizations and begin generating revenue.",{"type":20,"tag":21,"props":16546,"children":16547},{},[16548],{"type":25,"value":16549},"The first option is to directly sell to another company. This would require finding and building a relationship with a company that might be interested in your data, hiring data engineers to transform and transfer your data, and getting legal teams involved to negotiate contracts. This process often takes months to years, becoming costly and tedious. And, once one direct data transaction has been finalized, you must repeat the process all over again if you want to sell to a different company.",{"type":20,"tag":21,"props":16551,"children":16552},{},[16553],{"type":25,"value":16554},"Another option is to sell to a data aggregator. These organizations collect data from multiple companies and then process and repackage it. Selling to these types of companies is easier and faster than going through a direct sale, but you’ll make less profit and you lose control over what happens to your data once the aggregators have obtained it.",{"type":20,"tag":21,"props":16556,"children":16557},{},[16558,16560,16565],{"type":25,"value":16559},"The fastest, easiest, and most reliable option is to sell your data using a ",{"type":20,"tag":44,"props":16561,"children":16563},{"href":772,"rel":16562},[538],[16564],{"type":25,"value":776},{"type":25,"value":16566},". A data collaboration platform is an end-to-end data monetization solution that provides the self-service tools and workflows necessary to organize and sell your data to multiple buyers. Using a data collaboration platform, you can run an e-commerce data business, sell data on an ad hoc basis, and list your data on data exchanges.",{"type":20,"tag":21,"props":16568,"children":16569},{},[16570],{"type":25,"value":16571},"The best part is that anyone can use these platforms, even if they are new to the world of data monetization and have no coding experience. The tools and workflows provided make creating a data store an easy point-and-click endeavor. It’s like Shopify, but for data. Within just a few hours, your organization can build its own custom ecommerce shop front, create easily discoverable data products, market those data products to interested buyers, and simultaneously list your data products in a marketplace.",{"type":20,"tag":21,"props":16573,"children":16574},{},[16575,16580,16581],{"type":20,"tag":33,"props":16576,"children":16577},{},[16578],{"type":25,"value":16579},"Want to learn more about creating an ecommerce data business?",{"type":25,"value":177},{"type":20,"tag":44,"props":16582,"children":16583},{"href":180},[16584],{"type":20,"tag":33,"props":16585,"children":16586},{},[16587],{"type":25,"value":16588},"We’ll help you get started.",{"title":8,"searchDepth":193,"depth":193,"links":16590},[16591,16592,16593,16594,16595],{"id":16403,"depth":193,"text":16409},{"id":16437,"depth":193,"text":16443},{"id":16456,"depth":193,"text":16462},{"id":16483,"depth":193,"text":16489},{"id":16502,"depth":193,"text":16508},"content:blog:how-much-is-your-companys-data-worth.md","blog/how-much-is-your-companys-data-worth.md","blog/how-much-is-your-companys-data-worth",{"loc":16353},{"_path":16601,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":16602,"description":16603,"publishDate":16604,"author":1436,"ogImage":16605,"image":16605,"tags":16606,"authorSlug":1437,"body":16607,"_type":195,"_id":16931,"_source":197,"_file":16932,"_stem":16933,"_extension":200,"sitemap":16934},"/blog/how-narrative-rosetta-stone-transforms-identity-resolution","Beyond the Babel – How Narrative's Rosetta Stone Transforms Identity Resolution","Identity data lives in silos, scattered across inconsistent schemas and formats. Rosetta Stone—Narrative’s AI-powered normalization engine—solves that by creating a common language for identity. Learn how it transforms fragmented records into unified customer profiles at scale.","2025-04-16T12:30:30.000Z","img/blog/2025/04/rosetta_identity_blog.png",[1262,1263,1264,165,5680],{"type":17,"children":16608,"toc":16921},[16609,16614,16620,16625,16643,16649,16654,16660,16665,16676,16681,16689,16698,16709,16714,16737,16748,16753,16771,16784,16789,16795,16800,16818,16824,16837,16850,16858,16863,16868,16873,16891,16897,16902,16907],{"type":20,"tag":21,"props":16610,"children":16611},{},[16612],{"type":25,"value":16613},"In the digital ecosystem, identity data is the cornerstone of meaningful\ncustomer relationships—but it's typically scattered across multiple\nsystems, formats, and schemas. When customer data exists in silos, it\ncreates blind spots that impact everything from personalization to\nattribution. What you need is a common language for identity that can\nbridge these disconnected systems.",{"type":20,"tag":1495,"props":16615,"children":16617},{"id":16616},"the-identity-resolution-challenge",[16618],{"type":25,"value":16619},"The Identity Resolution Challenge",{"type":20,"tag":21,"props":16621,"children":16622},{},[16623],{"type":25,"value":16624},"Modern businesses face three fundamental challenges with identity data:",{"type":20,"tag":2051,"props":16626,"children":16627},{},[16628,16633,16638],{"type":20,"tag":907,"props":16629,"children":16630},{},[16631],{"type":25,"value":16632},"Structural Inconsistency: Every system has its own schema. One platform calls it \"email_address,\" another labels it \"email,\" and a third simply uses \"contact.\"",{"type":20,"tag":907,"props":16634,"children":16635},{},[16636],{"type":25,"value":16637},"Format Variability: Even when fields represent the same data type, the formats differ—phone numbers might include country codes in one system but not another, or emails might be stored in different cases.",{"type":20,"tag":907,"props":16639,"children":16640},{},[16641],{"type":25,"value":16642},"Matching Complexity: Determining whether two customer records represent the same person requires sophisticated comparison logic that considers various attributes and their significance.",{"type":20,"tag":1495,"props":16644,"children":16646},{"id":16645},"rosetta-stone-the-foundation-of-composable-identity",[16647],{"type":25,"value":16648},"Rosetta Stone: The Foundation of Composable Identity",{"type":20,"tag":21,"props":16650,"children":16651},{},[16652],{"type":25,"value":16653},"Narrative's Rosetta Stone AI Model is the essential translation layer that makes\ntrue identity resolution possible. Named after the ancient stone that\nunlocked Egyptian hieroglyphics, our solution brings clarity to the\ncomplex language of identity data.",{"type":20,"tag":223,"props":16655,"children":16657},{"id":16656},"how-it-works-technical-mechanics",[16658],{"type":25,"value":16659},"How It Works: Technical Mechanics",{"type":20,"tag":21,"props":16661,"children":16662},{},[16663],{"type":25,"value":16664},"Rosetta Stone employs a multi-layered approach to normalize and prepare identity data:",{"type":20,"tag":2051,"props":16666,"children":16667},{},[16668],{"type":20,"tag":907,"props":16669,"children":16670},{},[16671],{"type":20,"tag":33,"props":16672,"children":16673},{},[16674],{"type":25,"value":16675},"Semantic Recognition",{"type":20,"tag":21,"props":16677,"children":16678},{},[16679],{"type":25,"value":16680},"The system automatically identifies the intent behind various field names through semantic analysis. Whether it's labeled as \"phone,\" \"telephone_number,\" or \"contact_phone,\" Rosetta Stone recognizes these fields represent the same identity attribute and maps them to standardized fields like normalized_telephone_number.",{"type":20,"tag":21,"props":16682,"children":16683},{},[16684],{"type":20,"tag":33,"props":16685,"children":16686},{},[16687],{"type":25,"value":16688},"Example field mapping transformation",{"type":20,"tag":21,"props":16690,"children":16691},{},[16692],{"type":20,"tag":1630,"props":16693,"children":16697},{"alt":16694,"src":16695,"width":16696},"example transfomation","img/blog/2025/04/snippet_1.png",500,[],{"type":20,"tag":2051,"props":16699,"children":16700},{"start":193},[16701],{"type":20,"tag":907,"props":16702,"children":16703},{},[16704],{"type":20,"tag":33,"props":16705,"children":16706},{},[16707],{"type":25,"value":16708},"Format Standardization",{"type":20,"tag":21,"props":16710,"children":16711},{},[16712],{"type":25,"value":16713},"For each identity attribute, Rosetta Stone applies domain-specific normalization rules:",{"type":20,"tag":903,"props":16715,"children":16716},{},[16717,16722,16727,16732],{"type":20,"tag":907,"props":16718,"children":16719},{},[16720],{"type":25,"value":16721},"Emails: Lowercase conversion, normalization of username and domain parts",{"type":20,"tag":907,"props":16723,"children":16724},{},[16725],{"type":25,"value":16726},"Phone Numbers: Removal of formatting characters, standardization with country codes",{"type":20,"tag":907,"props":16728,"children":16729},{},[16730],{"type":25,"value":16731},"Names: Case normalization, handling of common nickname variations",{"type":20,"tag":907,"props":16733,"children":16734},{},[16735],{"type":25,"value":16736},"Addresses: Standardization of abbreviations, consistent formatting",{"type":20,"tag":2051,"props":16738,"children":16739},{"start":380},[16740],{"type":20,"tag":907,"props":16741,"children":16742},{},[16743],{"type":20,"tag":33,"props":16744,"children":16745},{},[16746],{"type":25,"value":16747},"Advanced Feature Extraction for Complex Comparison",{"type":20,"tag":21,"props":16749,"children":16750},{},[16751],{"type":25,"value":16752},"Once normalized Rosetta Stone can employ sophisticated feature extraction logic - breaking down identity attributes into overlapping fragments that serve as fingerprints for comparison:",{"type":20,"tag":903,"props":16754,"children":16755},{},[16756,16761,16766],{"type":20,"tag":907,"props":16757,"children":16758},{},[16759],{"type":25,"value":16760},"Character Features: Creates n-character sequences (typically 3-5 characters) that enable fuzzy matching even when typos or minor variations exist.",{"type":20,"tag":907,"props":16762,"children":16763},{},[16764],{"type":25,"value":16765},"Field-Specific Features: Uses different strategies based on field semantics. 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By integrating with Narrative's Query Language (NQL), you can:",{"type":20,"tag":2051,"props":16801,"children":16802},{},[16803,16808,16813],{"type":20,"tag":907,"props":16804,"children":16805},{},[16806],{"type":25,"value":16807},"Automate Normalization: Let the system handle normalization based on semantic understanding, eliminating the need for manual data mapping exercises.",{"type":20,"tag":907,"props":16809,"children":16810},{},[16811],{"type":25,"value":16812},"Leverage Powerful Matching: Utilize the normalized data with built-in similarity functions that understand the relative importance of different attributes through machine learning.",{"type":20,"tag":907,"props":16814,"children":16815},{},[16816],{"type":25,"value":16817},"Compose Custom Solutions: Build identity resolution workflows tailored to your specific business requirements by connecting normalized data sources with matching algorithms and graph building configurations.",{"type":20,"tag":223,"props":16819,"children":16821},{"id":16820},"consider-how-this-transforms-a-typical-identity-resolution-challenge",[16822],{"type":25,"value":16823},"Consider how this transforms a typical identity resolution challenge:",{"type":20,"tag":21,"props":16825,"children":16826},{},[16827,16832],{"type":20,"tag":33,"props":16828,"children":16829},{},[16830],{"type":25,"value":16831},"Before Rosetta Stone: Incompatible records",{"type":20,"tag":1630,"props":16833,"children":16836},{"alt":16781,"src":16834,"width":16835},"img/blog/2025/04/snippet_3.png",290,[],{"type":20,"tag":21,"props":16838,"children":16839},{},[16840,16845],{"type":20,"tag":33,"props":16841,"children":16842},{},[16843],{"type":25,"value":16844},"After Rosetta Stone: Matchable normalized records",{"type":20,"tag":1630,"props":16846,"children":16849},{"alt":16781,"src":16847,"width":16848},"img/blog/2025/04/snippet_4.png",380,[],{"type":20,"tag":21,"props":16851,"children":16852},{},[16853],{"type":20,"tag":33,"props":16854,"children":16855},{},[16856],{"type":25,"value":16857},"Result: High similarity score (0.94) indicating likely match",{"type":20,"tag":21,"props":16859,"children":16860},{},[16861],{"type":25,"value":16862},"With Rosetta Stone, the system can confidently determine these records represent the same person despite variations in formatting and slight differences in the provided name.",{"type":20,"tag":21,"props":16864,"children":16865},{},[16866],{"type":25,"value":16867},"Beyond Basic Normalization: Identity Graphs That Learn",{"type":20,"tag":21,"props":16869,"children":16870},{},[16871],{"type":25,"value":16872},"The true power of Rosetta Stone emerges when combined with Narrative's full Composable Identity solution:",{"type":20,"tag":2051,"props":16874,"children":16875},{},[16876,16881,16886],{"type":20,"tag":907,"props":16877,"children":16878},{},[16879],{"type":25,"value":16880},"Weighted Similarity Models: Once data is normalized, the system employs sophisticated similarity models with learned weights for different attributes—giving more importance to rare or highly predictive fields.",{"type":20,"tag":907,"props":16882,"children":16883},{},[16884],{"type":25,"value":16885},"Adaptive Matching: The matching algorithms adapt to your specific data characteristics, understanding which fields are most reliable for identifying unique individuals in your context.",{"type":20,"tag":907,"props":16887,"children":16888},{},[16889],{"type":25,"value":16890},"Continuous Refinement: As more data flows through the system, the identity resolution capabilities improve, creating a positive feedback loop that enhances matching accuracy over time.",{"type":20,"tag":1495,"props":16892,"children":16894},{"id":16893},"take-control-of-your-identity-data",[16895],{"type":25,"value":16896},"Take Control of Your Identity Data",{"type":20,"tag":21,"props":16898,"children":16899},{},[16900],{"type":25,"value":16901},"If your team is still struggling with the complex puzzle of identity resolution, Rosetta Stone offers a path forward that combines technical sophistication with practical usability. 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",{"type":20,"tag":44,"props":16913,"children":16915},{"href":2150,"rel":16914},[538],[16916],{"type":20,"tag":33,"props":16917,"children":16918},{},[16919],{"type":25,"value":16920},"learn how Narrative can bring clarity to your identity data ecosystem.",{"title":8,"searchDepth":193,"depth":193,"links":16922},[16923,16924,16927,16930],{"id":16616,"depth":193,"text":16619},{"id":16645,"depth":193,"text":16648,"children":16925},[16926],{"id":16656,"depth":380,"text":16659},{"id":16791,"depth":193,"text":16794,"children":16928},[16929],{"id":16820,"depth":380,"text":16823},{"id":16893,"depth":193,"text":16896},"content:blog:how-narrative-rosetta-stone-transforms-identity-resolution.md","blog/how-narrative-rosetta-stone-transforms-identity-resolution.md","blog/how-narrative-rosetta-stone-transforms-identity-resolution",{"loc":16601},{"_path":7131,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":7134,"description":16936,"publishDate":16937,"author":3778,"ogImage":16938,"image":16938,"tags":16939,"body":16940,"_type":195,"_id":17040,"_source":197,"_file":17041,"_stem":17042,"_extension":200,"sitemap":17043},"The Harris Poll uses Narrative to match IP addresses with HEMs and MAIDs to establish an identity foundation and improve addressability.","2022-09-28 12:54:07","/img/blog/2022/09/narrativeio-jobpost-01-7.png",[15739],{"type":17,"children":16941,"toc":17038},[16942,16949,16954,16959,16970,16977,16990,16995,17002,17007,17012,17021],{"type":20,"tag":28,"props":16943,"children":16944},{"id":15749},[16945],{"type":20,"tag":33,"props":16946,"children":16947},{},[16948],{"type":25,"value":15755},{"type":20,"tag":21,"props":16950,"children":16951},{},[16952],{"type":25,"value":16953},"The Harris Poll, part of the Stagwell Group, is a global market research and consulting firm that provides insights and digital tools through data. Harris Poll is one of the longest running surveys in the U.S., tracking public opinion, motivations, and social sentiments. Every year, they poll millions of people on the trends that are shaping our modern world.",{"type":20,"tag":21,"props":16955,"children":16956},{},[16957],{"type":25,"value":16958},"However, the data that Harris Poll collects through their survey is limited. They receive an IP address and responses, but know very little about their respondents outside of that. The collection of an IP address only provides them one type of identifier tied to the user. This makes the addressability of their users limited, since they can’t target them with additional media if they don’t have the HEMs and MAIDs.",{"type":20,"tag":21,"props":16960,"children":16961},{},[16962,16964,16968],{"type":25,"value":16963},"The Harris Poll needed a way to enrich the data they were collecting in a fast and straightforward way. 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Using Harris Poll’s own seed list of IP addresses, Narrative is able to classify each of Harris Poll’s IP addresses as residential, find mappings of those IP addresses to HEMs and MAIDs, and increase addressability of these IP addresses by adding new identifiers.",{"type":20,"tag":21,"props":16991,"children":16992},{},[16993],{"type":25,"value":16994},"Narrative’s speedy turnaround times allow Harris to receive enriched lists of their data in less than 24 hours, providing them with the data they need as soon as they need it. With their enriched data, Harris Poll is able to target survey respondents using different channels, such as mobile. This has greatly expanded their insights while also cutting down on data acquisition time and costs.",{"type":20,"tag":28,"props":16996,"children":16997},{"id":15803},[16998],{"type":20,"tag":33,"props":16999,"children":17000},{},[17001],{"type":25,"value":15809},{"type":20,"tag":21,"props":17003,"children":17004},{},[17005],{"type":25,"value":17006},"Narrative has helped Harris Poll streamline their data acquisition, link their IP addresses to HEMs and MAIDs, increase audience addressability, and do all of that with industry-leading speed.",{"type":20,"tag":21,"props":17008,"children":17009},{},[17010],{"type":25,"value":17011},"Since Harris Poll began using Narrative for data their data acquisition needs, Narrative has shared 11,184,385 unique IDs on all residential IP addresses. For every unique IP address Harris has shared with Narrative, we have matched an average of 18.5 unique IDs to it. Additionally, Narrative’s average residential IP match rate of 65% has helped Harris Poll ensure accuracy and eliminated the need to seek out and negotiate with other data providers.",{"type":20,"tag":21,"props":17013,"children":17014},{},[17015,17019],{"type":20,"tag":44,"props":17016,"children":17017},{"href":572},[17018],{"type":25,"value":575},{"type":25,"value":17020}," allows Harris Poll to systematically get all of the enriched data that they need without lengthy negotiations or middle-men. Through the automated tools that Buyer Studio offers, organizations like Harris Poll can quickly and easily enrich their data to glean better insights and better assist their clients at rapid speeds without sacrificing quality or integrity.",{"type":20,"tag":21,"props":17022,"children":17023},{},[17024,17029,17030],{"type":20,"tag":33,"props":17025,"children":17026},{},[17027],{"type":25,"value":17028},"Turn around your use case in less than 24 hours with Buyer Studio.",{"type":25,"value":177},{"type":20,"tag":44,"props":17031,"children":17032},{"href":180},[17033],{"type":20,"tag":33,"props":17034,"children":17035},{},[17036],{"type":25,"value":17037},"Our experts will help you get started!",{"title":8,"searchDepth":193,"depth":193,"links":17039},[],"content:blog:how-the-harris-poll-builds-addressable-audiences-with-just-ip-addresses.md","blog/how-the-harris-poll-builds-addressable-audiences-with-just-ip-addresses.md","blog/how-the-harris-poll-builds-addressable-audiences-with-just-ip-addresses",{"loc":7131},{"_path":17045,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":17046,"description":17047,"publishDate":17048,"author":1927,"ogImage":17049,"image":17049,"tags":17050,"authorSlug":1932,"body":17051,"_type":195,"_id":17348,"_source":197,"_file":17349,"_stem":17350,"_extension":200,"sitemap":17351},"/blog/how-to-build-and-activate-audiences","How to Build and Activate Audiences Without Technical Expertise","Marketers and data teams struggle with siloed data, complex audience creation, and slow activation processes. Solving these challenges requires automation, data normalization, and seamless integrations to make audience building efficient and scalable.","2025-02-25T10:33:10.000Z","/img/blog/2025/02/audience-building.png",[1262,1263,1264,4181],{"type":17,"children":17052,"toc":17336},[17053,17058,17064,17069,17112,17118,17123,17166,17172,17183,17201,17207,17212,17221,17232,17241,17246,17255,17267,17276,17288,17294,17299,17317,17322],{"type":20,"tag":21,"props":17054,"children":17055},{},[17056],{"type":25,"value":17057},"Building an audience is one of the most critical tasks for marketers, data teams, and business strategists. Whether you’re trying to reach potential customers, engage existing ones, or expand into new markets, audience building is at the core of your efforts. But as valuable as it is, it's also incredibly difficult to do effectively.",{"type":20,"tag":1495,"props":17059,"children":17061},{"id":17060},"the-challenges-of-audience-building",[17062],{"type":25,"value":17063},"The Challenges of Audience Building",{"type":20,"tag":21,"props":17065,"children":17066},{},[17067],{"type":25,"value":17068},"For many organizations, audience building presents a series of frustrating obstacles:",{"type":20,"tag":903,"props":17070,"children":17071},{},[17072,17082,17092,17102],{"type":20,"tag":907,"props":17073,"children":17074},{},[17075,17080],{"type":20,"tag":33,"props":17076,"children":17077},{},[17078],{"type":25,"value":17079},"Fragmented Data",{"type":25,"value":17081},": Audience data often comes from multiple sources, each with different formats, structures, and taxonomies. Bringing them together into a single, usable dataset is a challenge.",{"type":20,"tag":907,"props":17083,"children":17084},{},[17085,17090],{"type":20,"tag":33,"props":17086,"children":17087},{},[17088],{"type":25,"value":17089},"Technical Barriers",{"type":25,"value":17091},": Creating precise audience segments typically requires SQL expertise or complex data engineering, putting the process out of reach for non-technical users.",{"type":20,"tag":907,"props":17093,"children":17094},{},[17095,17100],{"type":20,"tag":33,"props":17096,"children":17097},{},[17098],{"type":25,"value":17099},"Time and Resource Constraints",{"type":25,"value":17101},": Teams spend too much time cleaning, normalizing, and configuring data instead of focusing on high-level strategy and execution.",{"type":20,"tag":907,"props":17103,"children":17104},{},[17105,17110],{"type":20,"tag":33,"props":17106,"children":17107},{},[17108],{"type":25,"value":17109},"Lack of Activation Flexibility",{"type":25,"value":17111},": Even when an audience is built, getting it into the right platforms (DSPs, marketplaces, CRMs, etc.) can be a slow and manual process.",{"type":20,"tag":1495,"props":17113,"children":17115},{"id":17114},"what-it-takes-to-overcome-these-challenges",[17116],{"type":25,"value":17117},"What It Takes to Overcome These Challenges",{"type":20,"tag":21,"props":17119,"children":17120},{},[17121],{"type":25,"value":17122},"The key to making audience building accessible and efficient lies in a combination of automation, intuitive interfaces, and seamless data interoperability. 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This means businesses can focus their expensive technical resources on more complex challenges instead of spending time configuring audiences.",{"type":20,"tag":223,"props":17233,"children":17235},{"id":17234},"bulk-audience-creation-at-scale",[17236],{"type":20,"tag":33,"props":17237,"children":17238},{},[17239],{"type":25,"value":17240},"Bulk Audience Creation at Scale",{"type":20,"tag":21,"props":17242,"children":17243},{},[17244],{"type":25,"value":17245},"Need to build thousands of audiences? No problem. Our bulk creation capabilities allow users to create and configure as many audiences as needed with the same ease as creating a single one. This is particularly useful for companies that run multiple campaigns or need to monetize data across various segments.",{"type":20,"tag":223,"props":17247,"children":17249},{"id":17248},"a-connector-framework-for-seamless-activation",[17250],{"type":20,"tag":33,"props":17251,"children":17252},{},[17253],{"type":25,"value":17254},"A Connector Framework for Seamless Activation",{"type":20,"tag":21,"props":17256,"children":17257},{},[17258,17260,17265],{"type":25,"value":17259},"Building an audience is only half the battle—activating it across multiple platforms is where the real value comes in. Narrative's ",{"type":20,"tag":33,"props":17261,"children":17262},{},[17263],{"type":25,"value":17264},"connector framework",{"type":25,"value":17266}," ensures that once an audience is created, it can be instantly delivered to an unlimited number of activation endpoints, including DSPs, data marketplaces, and proprietary systems. You build an audience once, and it can be slotted into multiple taxonomies and monetized across multiple platforms without additional manual work.",{"type":20,"tag":223,"props":17268,"children":17270},{"id":17269},"advanced-configurability-with-nql",[17271],{"type":20,"tag":33,"props":17272,"children":17273},{},[17274],{"type":25,"value":17275},"Advanced Configurability with NQL",{"type":20,"tag":21,"props":17277,"children":17278},{},[17279,17281,17286],{"type":25,"value":17280},"Some use cases require incredibly complex audience definitions. With ",{"type":20,"tag":33,"props":17282,"children":17283},{},[17284],{"type":25,"value":17285},"NQL (Narrative Query Language)",{"type":25,"value":17287},", users get the power of SQL without the complexity. Anything that can be done in SQL can be done in NQL, allowing for precise audience customization while keeping it user-friendly.",{"type":20,"tag":1495,"props":17289,"children":17291},{"id":17290},"making-audience-building-fast-easy-and-effective",[17292],{"type":25,"value":17293},"Making Audience Building Fast, Easy, and Effective",{"type":20,"tag":21,"props":17295,"children":17296},{},[17297],{"type":25,"value":17298},"Narrative has redefined what it means to build an audience. By removing technical barriers, automating cumbersome processes, and ensuring seamless activation, we empower businesses to:",{"type":20,"tag":903,"props":17300,"children":17301},{},[17302,17307,17312],{"type":20,"tag":907,"props":17303,"children":17304},{},[17305],{"type":25,"value":17306},"Reduce the time and effort spent on audience creation.",{"type":20,"tag":907,"props":17308,"children":17309},{},[17310],{"type":25,"value":17311},"Enable non-technical teams to take charge of their audience-building needs.",{"type":20,"tag":907,"props":17313,"children":17314},{},[17315],{"type":25,"value":17316},"Maximize the value of data by making it easy to deploy across multiple platforms.",{"type":20,"tag":21,"props":17318,"children":17319},{},[17320],{"type":25,"value":17321},"If you're still struggling with fragmented data, technical complexity, or inefficient activation workflows, it's time to rethink your approach. 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",{"type":20,"tag":44,"props":17328,"children":17330},{"href":2150,"rel":17329},[538],[17331],{"type":20,"tag":33,"props":17332,"children":17333},{},[17334],{"type":25,"value":17335},"Let’s make make it happen.",{"title":8,"searchDepth":193,"depth":193,"links":17337},[17338,17339,17340,17341,17347],{"id":17060,"depth":193,"text":17063},{"id":17114,"depth":193,"text":17117},{"id":17168,"depth":193,"text":17171},{"id":17203,"depth":193,"text":17206,"children":17342},[17343,17344,17345,17346],{"id":17214,"depth":380,"text":17220},{"id":17234,"depth":380,"text":17240},{"id":17248,"depth":380,"text":17254},{"id":17269,"depth":380,"text":17275},{"id":17290,"depth":193,"text":17293},"content:blog:how-to-build-and-activate-audiences.md","blog/how-to-build-and-activate-audiences.md","blog/how-to-build-and-activate-audiences",{"loc":17045},{"_path":12062,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":17353,"description":17354,"publishDate":17355,"author":12,"ogImage":17356,"image":17356,"tags":17357,"body":17358,"_type":195,"_id":17702,"_source":197,"_file":17703,"_stem":17704,"_extension":200,"sitemap":17705},"How to Find and Buy the Data You Need to Succeed","Acquiring the right external data can lead to amazing improvements in growth and productivity. Follow these steps to find and buy the exact data you need to succeed.","2022-05-05 18:45:34","/img/blog/2022/05/buydata.png",[4365,15],{"type":17,"children":17359,"toc":17692},[17360,17365,17370,17375,17380,17389,17394,17406,17411,17420,17432,17441,17446,17453,17458,17465,17470,17479,17491,17496,17505,17517,17524,17529,17541,17546,17553,17558,17563,17568,17577,17587,17592,17597,17604,17609,17614,17619,17633,17638,17645,17654,17666,17676,17681],{"type":20,"tag":21,"props":17361,"children":17362},{},[17363],{"type":25,"value":17364},"Data is a company’s most valuable asset and it is one of the most critical components of a brand’s growth and success. The right data can lead to amazing improvements in growth, productivity, and risk management.",{"type":20,"tag":21,"props":17366,"children":17367},{},[17368],{"type":25,"value":17369},"However, no company can collect all of the data they need on their own. They will always have gaps in their internal information that only external data can fill.",{"type":20,"tag":21,"props":17371,"children":17372},{},[17373],{"type":25,"value":17374},"In order to remain competitive, you’ll need to acquire high-quality data from external sources. In fact, in a 2019 Deloitte survey, 92% of data analytics professionals said their companies needed to increase use of external data sources. Acquiring external data can feel like an overwhelming and confusing process, but the companies that aren’t taking advantage of external data sources are quickly falling behind.",{"type":20,"tag":21,"props":17376,"children":17377},{},[17378],{"type":25,"value":17379},"Fortunately, you can get started acquiring the data you need to succeed as soon as today by following a few simple steps and choosing the right method for your company.",{"type":20,"tag":28,"props":17381,"children":17383},{"id":17382},"determine-what-kind-of-data-you-need",[17384],{"type":20,"tag":33,"props":17385,"children":17386},{},[17387],{"type":25,"value":17388},"Determine what kind of data you need",{"type":20,"tag":21,"props":17390,"children":17391},{},[17392],{"type":25,"value":17393},"It’s important to determine what kind of data will bring value to your organization and how you intend to use that data to help your company grow and evolve. Are you seeking to acquire data in order to answer a specific question? Are you trying to optimize an existing solution? Are you trying to gain insights to solve a series of problems?",{"type":20,"tag":21,"props":17395,"children":17396},{},[17397,17399,17404],{"type":25,"value":17398},"Whether you are trying to answer a specific question with new insights or optimize an existing system, you will want a large and diverse set of data related to your area of concern. In order to fine-tune your focus, you’ll want to pinpoint the ways that ",{"type":20,"tag":44,"props":17400,"children":17401},{"href":46},[17402],{"type":25,"value":17403},"external data",{"type":25,"value":17405}," is going to improve your organization so that you have a clear mission in your data acquisition search.",{"type":20,"tag":21,"props":17407,"children":17408},{},[17409],{"type":25,"value":17410},"Once you have figured out what kind of data you need, you’ll also want to determine what kinds of companies might have the data you’re searching for. For instance, if you’re searching for data on transactions and purchasing patterns, you might acquire that data from marketing companies or credit card companies. If you are searching for medical or pharmaceutical data, you might find that data available from healthcare provider websites or apps.",{"type":20,"tag":28,"props":17412,"children":17414},{"id":17413},"data-acquisition-considerations-and-concerns",[17415],{"type":20,"tag":33,"props":17416,"children":17417},{},[17418],{"type":25,"value":17419},"Data acquisition considerations and concerns",{"type":20,"tag":21,"props":17421,"children":17422},{},[17423,17425,17430],{"type":25,"value":17424},"When ",{"type":20,"tag":44,"props":17426,"children":17427},{"href":324},[17428],{"type":25,"value":17429},"buying data",{"type":25,"value":17431},", you’ll need to consider:",{"type":20,"tag":1495,"props":17433,"children":17435},{"id":17434},"labor",[17436],{"type":20,"tag":33,"props":17437,"children":17438},{},[17439],{"type":25,"value":17440},"Labor",{"type":20,"tag":21,"props":17442,"children":17443},{},[17444],{"type":25,"value":17445},"How much bandwidth do your internal teams have to handle data acquisition and negotiations? Who in your organization might be able to handle the technical and legal aspects of the acquisition? Determine which employees would have the best understanding of the data needs within your organization.",{"type":20,"tag":1495,"props":17447,"children":17448},{"id":9606},[17449],{"type":20,"tag":33,"props":17450,"children":17451},{},[17452],{"type":25,"value":9609},{"type":20,"tag":21,"props":17454,"children":17455},{},[17456],{"type":25,"value":17457},"How much of a budget does your organization have for external data? Decide how much your company is willing to allocate to data acquisition. Cost varies depending on many factors, so setting a reasonable spending range is better than having one set number in mind.",{"type":20,"tag":1495,"props":17459,"children":17460},{"id":9578},[17461],{"type":20,"tag":33,"props":17462,"children":17463},{},[17464],{"type":25,"value":9581},{"type":20,"tag":21,"props":17466,"children":17467},{},[17468],{"type":25,"value":17469},"How fast do you need the data you’re looking to acquire? Are you trying to acquire data before an important decision is made? Do you have deadlines to meet? Depending on the route you take, data acquisition could take as little as a few days to as long as a few years.",{"type":20,"tag":1495,"props":17471,"children":17473},{"id":17472},"quality",[17474],{"type":20,"tag":33,"props":17475,"children":17476},{},[17477],{"type":25,"value":17478},"Quality",{"type":20,"tag":21,"props":17480,"children":17481},{},[17482,17484,17489],{"type":25,"value":17483},"You’ll also want to consider that ",{"type":20,"tag":44,"props":17485,"children":17487},{"href":7980,"rel":17486},[538],[17488],{"type":25,"value":3428},{"type":25,"value":17490}," can be difficult to guarantee, but is critical to your organization’s success. Your organization’s decisions will only be as good as the data that fuels them–bad data leads to bad decisions. That means that you’ll have to be scrupulous in your data acquisition search. Transparent sources will help you verify the quality of the data you’re acquiring.",{"type":20,"tag":21,"props":17492,"children":17493},{},[17494],{"type":25,"value":17495},"These are all important factors to consider when you are deciding the method that you’ll be using in order to acquire your data. Once you have a basic idea of what your data acquisition needs and limitations are, you can decide which data acquisition method is best for you.",{"type":20,"tag":28,"props":17497,"children":17499},{"id":17498},"choose-your-method-for-buying-data",[17500],{"type":20,"tag":33,"props":17501,"children":17502},{},[17503],{"type":25,"value":17504},"Choose your method for buying data",{"type":20,"tag":21,"props":17506,"children":17507},{},[17508,17510,17515],{"type":25,"value":17509},"There are a few different ways that you can ",{"type":20,"tag":44,"props":17511,"children":17512},{"href":324},[17513],{"type":25,"value":17514},"find and buy data",{"type":25,"value":17516},". Essentially, you can make direct purchases or go through third parties. The best method for you depends on your organization’s priorities and abilities.",{"type":20,"tag":1495,"props":17518,"children":17519},{"id":4448},[17520],{"type":20,"tag":33,"props":17521,"children":17522},{},[17523],{"type":25,"value":4451},{"type":20,"tag":21,"props":17525,"children":17526},{},[17527],{"type":25,"value":17528},"You can make a direct negotiation with another company that has the data you want to buy. This is a tried-and-true way to acquire precise and trustworthy data, since you know exactly where the data is coming from and have a direct relationship with the company whose data you will be using. However, this can be a time and labor-intensive process.",{"type":20,"tag":21,"props":17530,"children":17531},{},[17532,17534,17539],{"type":25,"value":17533},"You’ll need to go through several steps with this method: doing research to find companies that might have the data you need, ",{"type":20,"tag":44,"props":17535,"children":17536},{"href":8296},[17537],{"type":25,"value":17538},"evaluating data from various sources",{"type":25,"value":17540},", negotiating a deal, and then having your data engineers integrate their data with yours.",{"type":20,"tag":21,"props":17542,"children":17543},{},[17544],{"type":25,"value":17545},"This process generally takes a few months to a few years before you actually see any of the data you want to acquire. And if you decide you need a new type of data, you’ll have to repeat this time-consuming and labor-intensive process over again.",{"type":20,"tag":1495,"props":17547,"children":17548},{"id":4459},[17549],{"type":20,"tag":33,"props":17550,"children":17551},{},[17552],{"type":25,"value":4462},{"type":20,"tag":21,"props":17554,"children":17555},{},[17556],{"type":25,"value":17557},"Data brokers are organizations that collect data from multiple sources, process that data, and repackage it into summarized datasets. Buying data from a data broker is a much faster way to buy large amounts of data quickly and easily. Data brokers have access to data from multiple sources and give you a bundle of it for a set price. It’s one transaction for a medley of data.",{"type":20,"tag":21,"props":17559,"children":17560},{},[17561],{"type":25,"value":17562},"However, there are tradeoffs to this approach. Since you are buying a large mashup of anonymized and aggregated data, you won’t know exactly what data you are getting, how the data was collected, or if you are purchasing duplicate data.",{"type":20,"tag":21,"props":17564,"children":17565},{},[17566],{"type":25,"value":17567},"You also aren’t able to pick and choose which datasets you want. Data brokers organize the data the way they see fit and give it to you without customizations. You just get what you get and that’s that, even if the data you purchased ends up being unusable.",{"type":20,"tag":1495,"props":17569,"children":17571},{"id":17570},"buy-from-a-data-exchange",[17572],{"type":20,"tag":33,"props":17573,"children":17574},{},[17575],{"type":25,"value":17576},"Buy from a data exchange",{"type":20,"tag":21,"props":17578,"children":17579},{},[17580,17585],{"type":20,"tag":44,"props":17581,"children":17582},{"href":311},[17583],{"type":25,"value":17584},"Data exchanges",{"type":25,"value":17586}," are marketplaces where data providers and data consumers are able to buy or sell data to one another. Much like marketplaces, they are spaces that allow for vendors and buyers to meet, evaluate, and transact.",{"type":20,"tag":21,"props":17588,"children":17589},{},[17590],{"type":25,"value":17591}," Buying data from a data exchange is also a fast and easy route to go. However, there is still little to no opportunity to customize the data you’re ingesting. You can purchase pre-packaged data the way the distributor gives it to you and that’s it.",{"type":20,"tag":21,"props":17593,"children":17594},{},[17595],{"type":25,"value":17596},"These marketplaces also require a certain level of technical expertise to search for, purchase, and transfer data to your organization’s systems. In most cases, businesses need to hire professionals to set up API integrations and clean and standardize the data for use. Data exchanges make it easy to find data, but still don’t make the process of acquiring data as fast, easy, or customizable as it could be.",{"type":20,"tag":1495,"props":17598,"children":17599},{"id":4470},[17600],{"type":20,"tag":33,"props":17601,"children":17602},{},[17603],{"type":25,"value":4473},{"type":20,"tag":21,"props":17605,"children":17606},{},[17607],{"type":25,"value":17608},"A data collaboration platform automates and simplifies the process of purchasing data. It is the quickest and easiest way to discover, buy, and access the exact data you need.",{"type":20,"tag":21,"props":17610,"children":17611},{},[17612],{"type":25,"value":17613},"Like a data exchange, a data collaboration platform connects data buyers with many data providers in one place. But unlike a data exchange, where you’re buying prepackaged products, a data collaboration platform gives you nearly unlimited options to create custom datasets that fit your precise needs and budget.",{"type":20,"tag":21,"props":17615,"children":17616},{},[17617],{"type":25,"value":17618},"With a data collaboration platform, you get exactly what you need, and nothing you don’t. Instead of buying a massive package of data, you can pick and choose the exact data points you want. If one supplier doesn’t have everything you need, you can buy from another supplier too, all at once and without worrying about duplicate data.",{"type":20,"tag":21,"props":17620,"children":17621},{},[17622,17624,17631],{"type":25,"value":17623},"Once you purchase your data, a data collaboration platform will automatically clean and standardize it, so you can start using it immediately. In a sense, the ",{"type":20,"tag":44,"props":17625,"children":17628},{"href":17626,"rel":17627},"https://www.youtube.com/watch?v=N8v_1vYBbvA",[538],[17629],{"type":25,"value":17630},"external data you purchase is automatically translated",{"type":25,"value":17632}," so that your internal systems can understand, process, and store it easily.",{"type":20,"tag":21,"props":17634,"children":17635},{},[17636],{"type":25,"value":17637},"Essentially, a data collaboration platform combines all of the benefits of the other approaches, without sacrificing time, money, or control",{"type":20,"tag":28,"props":17639,"children":17640},{"id":7161},[17641],{"type":20,"tag":33,"props":17642,"children":17643},{},[17644],{"type":25,"value":7164},{"type":20,"tag":21,"props":17646,"children":17647},{},[17648,17652],{"type":20,"tag":44,"props":17649,"children":17650},{"href":558},[17651],{"type":25,"value":561},{"type":25,"value":17653}," provides an easy way to buy data, with advanced filtering options, customization tools, and subscription options. You can find the exact data you need from dozens of providers and have it delivered in your preferred format within hours.",{"type":20,"tag":21,"props":17655,"children":17656},{},[17657,17659,17664],{"type":25,"value":17658},"These tools also help you automate data discovery, ",{"type":20,"tag":44,"props":17660,"children":17661},{"href":15347},[17662],{"type":25,"value":17663},"streamline cleaning",{"type":25,"value":17665}," and formatting tasks, and eliminate duplicate data. Since the most frustrating parts of data acquisition are automated on the backend, Narrative’s platform makes buying data as easy as ordering groceries online. 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Our experts are here to help.",{"title":8,"searchDepth":193,"depth":193,"links":17693},[17694,17695,17696,17697,17698,17699,17700,17701],{"id":17434,"depth":193,"text":17440},{"id":9606,"depth":193,"text":9609},{"id":9578,"depth":193,"text":9581},{"id":17472,"depth":193,"text":17478},{"id":4448,"depth":193,"text":4451},{"id":4459,"depth":193,"text":4462},{"id":17570,"depth":193,"text":17576},{"id":4470,"depth":193,"text":4473},"content:blog:how-to-find-and-buy-the-data-you-need-to-succeed.md","blog/how-to-find-and-buy-the-data-you-need-to-succeed.md","blog/how-to-find-and-buy-the-data-you-need-to-succeed",{"loc":12062},{"_path":15347,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":17707,"description":17708,"publishDate":17709,"author":12,"ogImage":17710,"image":17710,"tags":17711,"body":17712,"_type":195,"_id":17926,"_source":197,"_file":17927,"_stem":17928,"_extension":200,"sitemap":17929},"How to Save Time & Get Clean Data Automatically: Streamline Data Wrangling","What if the external data you received was already formatted exactly how you need it? Learn how to save your data scientists' time and streamline data wrangling.","2022-04-06 21:58:06","/img/blog/2022/04/narrativeio-jobpost-01.png",[],{"type":17,"children":17713,"toc":17924},[17714,17728,17742,17747,17752,17761,17773,17784,17789,17798,17810,17824,17829,17843,17848,17861,17866,17875,17880,17892,17903],{"type":20,"tag":21,"props":17715,"children":17716},{},[17717,17719,17726],{"type":25,"value":17718},"In order to gain a competitive advantage, businesses are acquiring more and more data from a wider variety of sources to inform their decision-making. More diverse and unstructured data requires more time to cull, clean, and organize data—also known as ",{"type":20,"tag":44,"props":17720,"children":17723},{"href":17721,"rel":17722},"https://online.hbs.edu/blog/post/data-wrangling",[538],[17724],{"type":25,"value":17725},"data wrangling",{"type":25,"value":17727},"—ahead of broader analysis.",{"type":20,"tag":21,"props":17729,"children":17730},{},[17731,17733,17740],{"type":25,"value":17732},"In fact, according to ",{"type":20,"tag":44,"props":17734,"children":17737},{"href":17735,"rel":17736},"https://www.anaconda.com/state-of-data-science-2021",[538],[17738],{"type":25,"value":17739},"Anaconda’s 2021 State of Data Science survey",{"type":25,"value":17741},", survey respondents said they spend “39% of their time on data prep and data cleansing, which is more than the time spent on model training, model selection, and deploying models combined.”",{"type":20,"tag":21,"props":17743,"children":17744},{},[17745],{"type":25,"value":17746},"At the same time, with data informing decisions across nearly every business unit, the demand for timely data analysis has also grown.",{"type":20,"tag":21,"props":17748,"children":17749},{},[17750],{"type":25,"value":17751},"With increasing demand for data scientists’ analysis and insights, how can businesses reduce the amount of time data scientists spend data wrangling?",{"type":20,"tag":28,"props":17753,"children":17755},{"id":17754},"have-your-data-cleaned-for-you-with-the-latest-data-technology",[17756],{"type":20,"tag":33,"props":17757,"children":17758},{},[17759],{"type":25,"value":17760},"Have your data cleaned for you with the latest data technology",{"type":20,"tag":21,"props":17762,"children":17763},{},[17764,17766,17771],{"type":25,"value":17765},"What if the external data you received was already formatted exactly how you need it? By freeing up your data analysts’ hours, they’ll have more time to analyze the data you’ve acquired and help ",{"type":20,"tag":44,"props":17767,"children":17768},{"href":823},[17769],{"type":25,"value":17770},"create data products",{"type":25,"value":17772}," that will bring in revenue for your company.",{"type":20,"tag":21,"props":17774,"children":17775},{},[17776,17778,17783],{"type":25,"value":17777},"Data scientists can win back hundreds of hours of productivity, reduce costs associated with errors, and help their organization make well-informed decisions. They just need the right technology to decrease the amount of time spent on data wrangling. That technology is available through ",{"type":20,"tag":44,"props":17779,"children":17780},{"href":558},[17781],{"type":25,"value":17782},"data commerce platforms like Narrative",{"type":25,"value":191},{"type":20,"tag":21,"props":17785,"children":17786},{},[17787],{"type":25,"value":17788},"For instance, Narrative’s Rosetta Stone “translates” data from buyers and sellers so that it can be understood and evaluated by whoever has purchased it, no matter where the data has come from. Data teams won’t have to spend time trying to decipher the data “language” of another company. Instead, Narrative’s software translates data from external sources into the exact format that you need to start analyzing.",{"type":20,"tag":28,"props":17790,"children":17792},{"id":17791},"benefits-of-using-a-data-commerce-platform-for-data-cleansing",[17793],{"type":20,"tag":33,"props":17794,"children":17795},{},[17796],{"type":25,"value":17797},"Benefits of using a data commerce platform for data cleansing",{"type":20,"tag":21,"props":17799,"children":17800},{},[17801,17803,17808],{"type":25,"value":17802},"Historically, companies have had to accept the reality of “you get what you get” when they are seeking to acquire external data. Data producers or aggregators are often more concerned with saving their own time and money, so data scientists are given acquired external data and tasked with cleaning up the mess. But with ",{"type":20,"tag":44,"props":17804,"children":17806},{"href":772,"rel":17805},[538],[17807],{"type":25,"value":3778},{"type":25,"value":17809},", the data you acquire is already cleaned and deduplicated before it’s delivered to you.",{"type":20,"tag":21,"props":17811,"children":17812},{},[17813,17815,17819],{"type":25,"value":17814}," ",{"type":20,"tag":1630,"props":17816,"children":17818},{"alt":8,"src":17817},"https://lh5.googleusercontent.com/nLX8Bhi3xAI-_p8J5dqCZJ1Rh8IWgiACr598th8itbtENAAuE1WUaG6jKYkZQdig88H_ErRrAmnt2rz37Q8GqZhEWnNTVN7nBQkeGliOnWnDUzBlnWYUMojjxuXSh_ZoZBC1GoAp",[],{"type":20,"tag":33,"props":17820,"children":17821},{},[17822],{"type":25,"value":17823},"Unlock more time for data analysis",{"type":20,"tag":21,"props":17825,"children":17826},{},[17827],{"type":25,"value":17828},"Your data professionals will be able to spend more time on value-generating activities as opposed to data preparation activities. Instead of spending the majority of their time cleaning heaps of messy data to uncover the representative sample they need, they’ll be able to spend close to 100% of their time on tasks that will have a valuable impact on your company’s operations and strategy",{"type":20,"tag":21,"props":17830,"children":17831},{},[17832,17834,17838],{"type":25,"value":17833},"  ",{"type":20,"tag":1630,"props":17835,"children":17837},{"alt":8,"src":17836},"https://lh4.googleusercontent.com/EbX6Q73s2IuAGF-k15iqImdeVAnMJ0Onow6haGiAoB-6FX7wToTSz94Pr1ssigNxor2NUGQXECypW5UfQj1nPc4N7TaFU-4pUTZmnlmq6TWG6mLCKR5YVyTNE8gkVqbcU5yhm1Sx",[],{"type":20,"tag":33,"props":17839,"children":17840},{},[17841],{"type":25,"value":17842},"Faster turnaround",{"type":20,"tag":21,"props":17844,"children":17845},{},[17846],{"type":25,"value":17847},"You’ll have clean data in your systems within a fraction of the time that it usually takes to acquire and then clean it. Instead of waiting days to weeks to have your data science team finish the job, you’ll have your data delivered to you squeaky clean within hours.",{"type":20,"tag":21,"props":17849,"children":17850},{},[17851,17852,17856],{"type":25,"value":17833},{"type":20,"tag":1630,"props":17853,"children":17855},{"alt":8,"src":17854},"https://lh6.googleusercontent.com/RYfqKlHPBbYufSmmLaOa9-ZiA8c26sudiSiVCPyG-P-KxLkf1qTxs7UKLSsF5Fkw9QLMVs-gZo4m7ZsADGQ5CD4G6abH4fKGKz2wwBfDjtndedMIh5HyugjPnbBMwMSoe5YOg1rC",[],{"type":20,"tag":33,"props":17857,"children":17858},{},[17859],{"type":25,"value":17860},"Eliminate human error",{"type":20,"tag":21,"props":17862,"children":17863},{},[17864],{"type":25,"value":17865},"You’ll practically eliminate error in your data cleansing when cutting-edge technology is doing the cleaning for you. Your data scientists are the best, but they’re only human. Computers can do a more accurate job than even the best data scientists, ensuring that your organization is only working with correct and quality data.",{"type":20,"tag":28,"props":17867,"children":17869},{"id":17868},"how-does-narrative-clean-data-for-your-buying-and-selling-needs",[17870],{"type":20,"tag":33,"props":17871,"children":17872},{},[17873],{"type":25,"value":17874},"How does Narrative clean data for your buying and selling needs?",{"type":20,"tag":21,"props":17876,"children":17877},{},[17878],{"type":25,"value":17879},"Whenever you are combining multiple data sources, there are many opportunities for data to be duplicated or mislabeled. Narrative’s software has the ability to fix or remove incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. This ensures that all buyers and sellers are dealing with high-quality and relevant data within the Narrative ecosystem.",{"type":20,"tag":21,"props":17881,"children":17882},{},[17883,17885,17890],{"type":25,"value":17884},"If you are a ",{"type":20,"tag":44,"props":17886,"children":17887},{"href":620},[17888],{"type":25,"value":17889},"data provider",{"type":25,"value":17891},", all you have to do is ingest your data in its native form into Narrative’s platform and our software will validate, clean, store, and organize your data. Your data will be prepared for you to package into a sellable product, with minimal time and effort on your part.",{"type":20,"tag":21,"props":17893,"children":17894},{},[17895,17896,17901],{"type":25,"value":17884},{"type":20,"tag":44,"props":17897,"children":17898},{"href":4492},[17899],{"type":25,"value":17900},"data consumer",{"type":25,"value":17902},", you can trust that the data you’re ingesting has been expertly processed by our automated system. Instead of risking ingesting irrelevant or bad quality data from a data broker, you can rest assured that Narrative’s automated platform is giving you clean and standardized data that has been processed by the latest data technology. Once your data has been processed for you, your data scientists and engineers can use that spotless data to perform analyses, glean insights, and generate solutions.",{"type":20,"tag":21,"props":17904,"children":17905},{},[17906,17911,17912,17920],{"type":20,"tag":33,"props":17907,"children":17908},{},[17909],{"type":25,"value":17910},"Stop wasting time wrangling data.",{"type":25,"value":177},{"type":20,"tag":44,"props":17913,"children":17914},{"href":180},[17915],{"type":20,"tag":33,"props":17916,"children":17917},{},[17918],{"type":25,"value":17919},"Get clean data instantly with the Narrative data commerce platform",{"type":20,"tag":33,"props":17921,"children":17922},{},[17923],{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":17925},[],"content:blog:how-to-save-time-get-clean-data-automatically-streamline-data-wrangling.md","blog/how-to-save-time-get-clean-data-automatically-streamline-data-wrangling.md","blog/how-to-save-time-get-clean-data-automatically-streamline-data-wrangling",{"loc":15347},{"_path":620,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":17931,"description":17932,"publishDate":17933,"author":12,"ogImage":17934,"image":17934,"tags":17935,"body":17936,"_type":195,"_id":18251,"_source":197,"_file":18252,"_stem":18253,"_extension":200,"sitemap":18254},"How to Start Selling Your Data","Learn how to start generating revenue from the data that your organization is already collecting. Start selling your data the right way.","2021-11-11 16:40:29","/img/blog/2021/11/Screen-Shot-2021-11-11-at-8.39.50-AM.png",[209,609,610,15],{"type":17,"children":17937,"toc":18244},[17938,17950,17959,17978,17983,17992,18005,18010,18019,18024,18036,18045,18050,18065,18070,18075,18080,18089,18094,18099,18108,18117,18122,18131,18149,18154,18159,18164,18173,18184,18189,18200,18222],{"type":20,"tag":21,"props":17939,"children":17940},{},[17941,17943,17948],{"type":25,"value":17942},"Data monetization allows your organization to unlock the external value of your company’s internal data. The data that your company has collected and used for internal purposes can actually be ",{"type":20,"tag":44,"props":17944,"children":17945},{"href":16353},[17946],{"type":25,"value":17947},"extremely valuable",{"type":25,"value":17949}," to other organizations, and your company could be earning an entirely new stream of revenue by simply sharing that data. By evaluating your own data, exercising care in the quality and usability of the data you’d like to sell, and being strategic when you create your data business and products, you will be able to monetize your data assets efficiently and effectively.",{"type":20,"tag":28,"props":17951,"children":17953},{"id":17952},"map-and-value-your-data",[17954],{"type":20,"tag":33,"props":17955,"children":17956},{},[17957],{"type":25,"value":17958},"Map and value your data",{"type":20,"tag":21,"props":17960,"children":17961},{},[17962,17964,17969,17971,17976],{"type":25,"value":17963},"To get started with your ",{"type":20,"tag":44,"props":17965,"children":17967},{"href":15333,"rel":17966},[538],[17968],{"type":25,"value":15400},{"type":25,"value":17970}," strategy, you must first ",{"type":20,"tag":44,"props":17972,"children":17973},{"href":16353},[17974],{"type":25,"value":17975},"assess and value your organization’s data",{"type":25,"value":17977},". Make sure you comprehensively evaluate what types of data you have to offer that are valuable to other organizations outside of your own. To do this, begin with a thorough audit and appraisal of the data you have gathered within your organization. This includes data on your processes, transactions, customers, and any other data that your company accumulates.",{"type":20,"tag":21,"props":17979,"children":17980},{},[17981],{"type":25,"value":17982},"Make sure that you are fully transparent about the data you wish to sell. That means it’s important to understand and be willing to share how and when your data was collected, how datasets interface, how relevant and valuable they are, and so on. After examining your data and ensuring that it is transparent and quality data that could bring value to other organizations, you can then move on to the next step of identifying who will be buying your data.",{"type":20,"tag":28,"props":17984,"children":17986},{"id":17985},"determine-your-audience",[17987],{"type":20,"tag":33,"props":17988,"children":17989},{},[17990],{"type":25,"value":17991},"Determine your audience",{"type":20,"tag":21,"props":17993,"children":17994},{},[17995,17997,18003],{"type":25,"value":17996},"No matter what ",{"type":20,"tag":44,"props":17998,"children":18000},{"href":5512,"rel":17999},[538],[18001],{"type":25,"value":18002},"type of data",{"type":25,"value":18004}," you collect within your organization, there are external parties that are excited to buy and use it. It’s important for your organization to determine who those external parties might be so that you can craft your data monetization strategy around your potential audience.",{"type":20,"tag":21,"props":18006,"children":18007},{},[18008],{"type":25,"value":18009},"Think about these questions: Who would find your data valuable? Who would be willing to pay for it? In what way is your data valuable? Will it help other organizations cut costs, streamline operations, increase sales, gain insights on customers, or all of the above? Would organizations outside of your industry benefit from the data you have? Identifying an audience will help you later in your data monetization strategy when you are organizing your data and deciding how to market that data to potential buyers.",{"type":20,"tag":28,"props":18011,"children":18013},{"id":18012},"review-policies-laws-regulations",[18014],{"type":20,"tag":33,"props":18015,"children":18016},{},[18017],{"type":25,"value":18018},"Review policies, laws & regulations",{"type":20,"tag":21,"props":18020,"children":18021},{},[18022],{"type":25,"value":18023},"It’s important to be fully aware of your own company’s policies, procedures, and guidelines before you decide what types of data your organization can sell to external sources. Make sure that you would not be doing your company’s reputation any damage. To ensure you are sticking to your company's policies and safeguarding your reputation, you must be transparent with your company’s customers that you will be collecting and sharing their data. This can be done simply by having customers agree to allow location access or accept cookies when interacting with your website, having them agree to terms and conditions when making a purchase, or displaying disclaimers and information about customer data somewhere on your website. It's also important to assure your customers that their privacy will be protected.",{"type":20,"tag":21,"props":18025,"children":18026},{},[18027,18029,18034],{"type":25,"value":18028},"It’s also important to be aware of the ",{"type":20,"tag":44,"props":18030,"children":18032},{"href":536,"rel":18031},[538],[18033],{"type":25,"value":12990},{"type":25,"value":18035},". You should be fully aware of all the rules surrounding data collection and data monetization in order to be sure that the data you are sharing is all above board.",{"type":20,"tag":28,"props":18037,"children":18039},{"id":18038},"choose-a-method-for-selling-your-data",[18040],{"type":20,"tag":33,"props":18041,"children":18042},{},[18043],{"type":25,"value":18044},"Choose a method for selling your data",{"type":20,"tag":21,"props":18046,"children":18047},{},[18048],{"type":25,"value":18049},"Now that you have evaluated your data, determined your potential buyer audience, and ensured that you are following all rules and regulations, you are ready to make your data accessible to buyers. There are a few options available for you in order to do this:",{"type":20,"tag":1495,"props":18051,"children":18053},{"id":18052},"_1-sell-your-data-directly-to-another-company",[18054,18059,18060],{"type":20,"tag":33,"props":18055,"children":18056},{},[18057],{"type":25,"value":18058},"1. Sell your data directly",{"type":25,"value":177},{"type":20,"tag":33,"props":18061,"children":18062},{},[18063],{"type":25,"value":18064},"to another company",{"type":20,"tag":21,"props":18066,"children":18067},{},[18068],{"type":25,"value":18069},"By facilitating a direct sale to another company, your business directs a large chunk of time and energy to a single one-on-one negotiation. Direct transactions are straightforward, private, and are securely controlled between your organization and the organization that is purchasing your data. This option provides the most security and control, since you and the teams within your organization are solely responsible for overseeing every step of the data transaction.",{"type":20,"tag":21,"props":18071,"children":18072},{},[18073],{"type":25,"value":18074},"In order to go this route, you will need to hire data engineers, sales people, and financial and legal teams to make the transaction a success. It can be a time-consuming and labor-intensive process to find companies that will purchase your data, negotiate terms, write contracts, prepare and transform your data, and build connections between systems and platforms in order for that company to officially purchase your organization’s data.",{"type":20,"tag":21,"props":18076,"children":18077},{},[18078],{"type":25,"value":18079},"This process can take months or even years to complete and must be repeated each time your business wants to make a direct sale to a new company.",{"type":20,"tag":1495,"props":18081,"children":18083},{"id":18082},"_2-sell-your-data-to-a-data-aggregator",[18084],{"type":20,"tag":33,"props":18085,"children":18086},{},[18087],{"type":25,"value":18088},"2. Sell your data to a data aggregator",{"type":20,"tag":21,"props":18090,"children":18091},{},[18092],{"type":25,"value":18093},"You can also opt to sell your data to a data aggregator. Data aggregators are organizations that collect data from multiple sources, provide some value-adding processing, and repackage a mash-up of usable data into summarized datasets. Going this route is an easy way to sell a bulk of data quickly and without too much hassle.",{"type":20,"tag":21,"props":18095,"children":18096},{},[18097],{"type":25,"value":18098},"However, you have little control over the transaction and you may not get a favorable price for your data. It’s also more of a gamble to ensure that the data aggregator you sell your data to is reputable, secure, and capable. Data aggregators are notorious for providing low-quality data because they mix a large amount of data together from multiple sources as opposed to providing quality and transparent single-source data.",{"type":20,"tag":1495,"props":18100,"children":18102},{"id":18101},"_3-list-your-data-on-a-data-exchange-or-marketplace",[18103],{"type":20,"tag":33,"props":18104,"children":18105},{},[18106],{"type":25,"value":18107},"3. List your data on a data exchange or marketplace",{"type":20,"tag":21,"props":18109,"children":18110},{},[18111,18115],{"type":20,"tag":44,"props":18112,"children":18113},{"href":311},[18114],{"type":25,"value":17584},{"type":25,"value":18116}," are platforms where data providers and data consumers are able to easily exchange data without having to go through the many steps of a one-on-one direct negotiation. Using a data exchange, you can have all of your profitable data assets available to a multitude of buyers within a fraction of the time that it takes to negotiate a direct sale, and you won’t need a dedicated sales team to drum up demand for your data. It’s also a more reputable route than selling to a data aggregator since you have more control over the data you are providing, how it is being processed, and who is buying your available data.",{"type":20,"tag":21,"props":18118,"children":18119},{},[18120],{"type":25,"value":18121},"However, you may not have much traction on these platforms and might not generate a large amount of revenue since you don’t have much opportunity to differentiate your business and your data products from other data distributors within the exchange you are participating in. These marketplaces can also be difficult to navigate and utilize properly without the technical expertise needed to package and productize your organization’s data.",{"type":20,"tag":1495,"props":18123,"children":18125},{"id":18124},"_4-leverage-a-data-collaboration-platform",[18126],{"type":20,"tag":33,"props":18127,"children":18128},{},[18129],{"type":25,"value":18130},"4. Leverage a data collaboration platform",{"type":20,"tag":21,"props":18132,"children":18133},{},[18134,18136,18141,18143,18148],{"type":25,"value":18135},"A data collaboration platform is the easiest and fastest way for an organization to begin monetizing their data, providing many of the same benefits as the other options without requiring a significant investment of time, resources, or labor. ",{"type":20,"tag":44,"props":18137,"children":18139},{"href":15333,"rel":18138},[538],[18140],{"type":25,"value":561},{"type":25,"value":18142}," is an end-to-end data monetization solution that serves as an effective and efficient way to get your data products in front of a large group of potential buyers, without any coding or design experience needed. Within just a few hours, your organization can build its own custom ecommerce shop front, create easily discoverable data products, market those data products to interested buyers, and simultaneously list your data products in the ",{"type":20,"tag":44,"props":18144,"children":18146},{"href":781,"rel":18145},[538],[18147],{"type":25,"value":6064},{"type":25,"value":191},{"type":20,"tag":21,"props":18150,"children":18151},{},[18152],{"type":25,"value":18153},"Using the intuitive tools and workflows created by Narrative’s data monetization experts, your business will be able to easily evaluate your data, ingest your data, package and price your data products, create an attractive ecommerce storefront, and automatically collect payouts from customer purchases. The platform makes every step of data monetization easier than ever and maximizes the opportunity for buyers to find your data.",{"type":20,"tag":21,"props":18155,"children":18156},{},[18157],{"type":25,"value":18158},"No technical expertise, including coding or design experience, is required to build your fully functional ecommerce data business. Anyone within your organization can use Narrative’s easy-to-use apps to monetize your company’s data from start to finish, no matter their data analytics prowess.",{"type":20,"tag":21,"props":18160,"children":18161},{},[18162],{"type":25,"value":18163},"From ingesting your native data exactly as it is stored to “tagging” that data to make it easily discoverable to packaging your data into neat products to customizing a beautiful ecommerce store, Data Shops provides a user-friendly solution to every data monetization hurdle.",{"type":20,"tag":28,"props":18165,"children":18167},{"id":18166},"start-generating-revenue-with-solutions-from-narrative",[18168],{"type":20,"tag":33,"props":18169,"children":18170},{},[18171],{"type":25,"value":18172},"Start generating revenue with solutions from Narrative",{"type":20,"tag":21,"props":18174,"children":18175},{},[18176,18177,18182],{"type":25,"value":7200},{"type":20,"tag":44,"props":18178,"children":18180},{"href":772,"rel":18179},[538],[18181],{"type":25,"value":561},{"type":25,"value":18183}," makes it easy for anyone within your company to package, publish, and distribute data to interested buyers that are searching for the type of data your organization wants to sell. It’s simple and intuitive to start up an ecommerce data business in just a few hours, even with no technical expertise.",{"type":20,"tag":21,"props":18185,"children":18186},{},[18187],{"type":25,"value":18188},"Once your data has been reviewed, organized into marketable products, and displayed in a beautiful ecommerce shop front, you can sit back and relax. When a buyer makes a purchase from your data shop, Narrative will deliver the purchased data automatically to the buyer, so you can simply check in on your data business at your leisure without having to monitor purchases.",{"type":20,"tag":21,"props":18190,"children":18191},{},[18192,18194,18198],{"type":25,"value":18193},"Give your data monetization strategy the best shot at success. Once you map and value your data, determine your data buying audience, review data monetization rules and regulations, and set up your brand new data business with ",{"type":20,"tag":44,"props":18195,"children":18196},{"href":566},[18197],{"type":25,"value":340},{"type":25,"value":18199},", you’ll be able to open up an entirely new opportunity for revenue.",{"type":20,"tag":21,"props":18201,"children":18202},{},[18203,18211,18212],{"type":20,"tag":33,"props":18204,"children":18205},{},[18206],{"type":20,"tag":44,"props":18207,"children":18208},{"href":180},[18209],{"type":25,"value":18210},"Want to get started?",{"type":25,"value":17814},{"type":20,"tag":33,"props":18213,"children":18214},{},[18215,18217],{"type":25,"value":18216},"Request a demo ",{"type":20,"tag":44,"props":18218,"children":18219},{"href":180},[18220],{"type":25,"value":18221},"here.",{"type":20,"tag":21,"props":18223,"children":18224},{},[18225],{"type":20,"tag":33,"props":18226,"children":18227},{},[18228,18230,18237,18239,18243],{"type":25,"value":18229},"You can also watch our ",{"type":20,"tag":44,"props":18231,"children":18234},{"href":18232,"rel":18233},"https://solutions.narrative.io/data-shops-product-tour-20220608",[538],[18235],{"type":25,"value":18236},"Narrative Product Tour: Building an Ecommerce Data Business with Data Shops",{"type":25,"value":18238}," to see first-hand how easy it is to package, merchandise, and distribute your first-party data in just a few clicks with ",{"type":20,"tag":44,"props":18240,"children":18241},{"href":566},[18242],{"type":25,"value":340},{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":18245},[18246,18248,18249,18250],{"id":18052,"depth":193,"text":18247},"1. Sell your data directly to another company",{"id":18082,"depth":193,"text":18088},{"id":18101,"depth":193,"text":18107},{"id":18124,"depth":193,"text":18130},"content:blog:how-to-start-selling-your-data.md","blog/how-to-start-selling-your-data.md","blog/how-to-start-selling-your-data",{"loc":620},{"_path":11217,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":18256,"description":18257,"publishDate":18258,"author":12,"ogImage":18259,"image":18259,"tags":18260,"body":18261,"_type":195,"_id":18616,"_source":197,"_file":18617,"_stem":18618,"_extension":200,"sitemap":18619},"How to Write a Good Data Product Description","A good product description will make your data products discoverable and enticing to potential buyers. Check out these expert tips, examples, and templates to help you get started.","2022-05-24 19:41:01","/img/blog/2022/05/dataproductdescription.png",[609],{"type":17,"children":18262,"toc":18614},[18263,18275,18287,18298,18304,18309,18314,18320,18325,18358,18363,18368,18373,18378,18383,18406,18411,18417,18429,18434,18439,18444,18449,18454,18459,18464,18469,18474,18479,18485,18497,18502,18507,18512,18530,18535,18540,18545,18550,18568,18573,18588,18593,18598,18603],{"type":20,"tag":21,"props":18264,"children":18265},{},[18266,18268,18273],{"type":25,"value":18267},"Data products have the potential to drive new business value and generate new revenue streams for your organization. However, creating your data product and listing it in a ",{"type":20,"tag":44,"props":18269,"children":18271},{"href":781,"rel":18270},[538],[18272],{"type":25,"value":8902},{"type":25,"value":18274}," won’t be enough to ensure that your data products sell. Potential customers need to see why they should buy your product. That’s why the description is the key to success – it’s not just about what data your product contains, but how you sell it to your buyers.",{"type":20,"tag":21,"props":18276,"children":18277},{},[18278,18280,18285],{"type":25,"value":18279},"The data product description is the only chance you have to convince your customers that they should purchase your data product, so it’s important to write it with care. It’s your opportunity to tell a story about your data and to highlight your data product’s unique characteristics and uses. It’s also ",{"type":20,"tag":44,"props":18281,"children":18282},{"href":603},[18283],{"type":25,"value":18284},"very important for SEO",{"type":25,"value":18286}," to write product descriptions that search engines will be able to find, index, and push to buyers that are searching for data like yours.",{"type":20,"tag":21,"props":18288,"children":18289},{},[18290,18292,18296],{"type":25,"value":18291},"In this blog post, we’ll explore how to create a good product description for your ",{"type":20,"tag":44,"props":18293,"children":18294},{"href":823},[18295],{"type":25,"value":11067},{"type":25,"value":18297}," and offer examples and templates that will help get you started.",{"type":20,"tag":28,"props":18299,"children":18301},{"id":18300},"give-your-data-product-a-unique-and-descriptive-name",[18302],{"type":25,"value":18303},"Give your data product a unique and descriptive name",{"type":20,"tag":21,"props":18305,"children":18306},{},[18307],{"type":25,"value":18308},"The name of your data product is the first thing that your customers will see. It’s important to tell your buyers exactly what your data product is in the title, but tell them at a glance. An overly descriptive title might confuse buyers while an overly simple one will not give the buyer enough information to know if they want to buy your product or not.",{"type":20,"tag":21,"props":18310,"children":18311},{},[18312],{"type":25,"value":18313},"For instance, titling a data product “Precipitation Data” is way too generic. This title doesn’t tell the buyers anything they would want to know about the data your product contains. A much better title would be “Daily Precipitation Totals for All Zip Codes in Southern California.” This title gives your customers a much better idea of what kind of information your product offers and will appear in many more searches.",{"type":20,"tag":28,"props":18315,"children":18317},{"id":18316},"tell-your-buyers-a-story-about-your-data",[18318],{"type":25,"value":18319},"Tell your buyers a story about your data",{"type":20,"tag":21,"props":18321,"children":18322},{},[18323],{"type":25,"value":18324},"Data product descriptions should tell your buyers a story about what the data is, where it came from, and why they should buy it. These product descriptions should be detailed, but not overwhelming. You want to give your customers the answers to any questions they might have about your data without overloading them with irrelevant information. Some key questions that you’ll want to answer for your buyer are:",{"type":20,"tag":903,"props":18326,"children":18327},{},[18328,18333,18338,18343,18348,18353],{"type":20,"tag":907,"props":18329,"children":18330},{},[18331],{"type":25,"value":18332},"What kind of data does your product contain?",{"type":20,"tag":907,"props":18334,"children":18335},{},[18336],{"type":25,"value":18337},"Where does the data come from?",{"type":20,"tag":907,"props":18339,"children":18340},{},[18341],{"type":25,"value":18342},"When was the data collected?",{"type":20,"tag":907,"props":18344,"children":18345},{},[18346],{"type":25,"value":18347},"How was the data collected?",{"type":20,"tag":907,"props":18349,"children":18350},{},[18351],{"type":25,"value":18352},"Who was the data collected from?",{"type":20,"tag":907,"props":18354,"children":18355},{},[18356],{"type":25,"value":18357},"What are some potential use cases for your data?",{"type":20,"tag":21,"props":18359,"children":18360},{},[18361],{"type":25,"value":18362},"An example of a bad data description would be:",{"type":20,"tag":21,"props":18364,"children":18365},{},[18366],{"type":25,"value":18367},"This dataset contains the alcohol content for different European wines.",{"type":20,"tag":21,"props":18369,"children":18370},{},[18371],{"type":25,"value":18372},"That data description doesn’t tell a story or offer the buyers enough information to be enticed to purchase your data product. Here is an example of how that bad data description could be improved to tell a story:",{"type":20,"tag":21,"props":18374,"children":18375},{},[18376],{"type":25,"value":18377},"This dataset includes information on the alcohol content of a variety of red and white wines produced in Italy, Spain, and France between 2019 and 2021. This data was provided directly from 37 mid-sized wineries that keep records on their yearly inventories. This information is useful for anyone interested in the production, consumption, or chemical analysis of European wines.",{"type":20,"tag":21,"props":18379,"children":18380},{},[18381],{"type":25,"value":18382},"This dataset can be used to:",{"type":20,"tag":903,"props":18384,"children":18385},{},[18386,18391,18396,18401],{"type":20,"tag":907,"props":18387,"children":18388},{},[18389],{"type":25,"value":18390},"Compare and contrast alcoholic content between wines, wineries, and regions",{"type":20,"tag":907,"props":18392,"children":18393},{},[18394],{"type":25,"value":18395},"Track the alcoholic content of European wines between 2019 and 2021",{"type":20,"tag":907,"props":18397,"children":18398},{},[18399],{"type":25,"value":18400},"Identify correlations between regions and alcohol content",{"type":20,"tag":907,"props":18402,"children":18403},{},[18404],{"type":25,"value":18405},"Predict alcohol content levels in upcoming wine production based on past data",{"type":20,"tag":21,"props":18407,"children":18408},{},[18409],{"type":25,"value":18410},"The above description gave a lot of useful information about the characteristics and benefits of the data being offered, but wasn’t wordy enough to bore the reader. It hits the sweet spot between descriptive and concise.",{"type":20,"tag":28,"props":18412,"children":18414},{"id":18413},"include-keywords-phrases-and-internal-links-to-improve-discoverability",[18415],{"type":25,"value":18416},"Include keywords, phrases, and internal links to improve discoverability",{"type":20,"tag":21,"props":18418,"children":18419},{},[18420,18422,18427],{"type":25,"value":18421},"In addition to wanting to make your product descriptions appealing to humans who are searching for your products, you’ll also want to make them appealing to search engines. To rank well in search engines and earn organic search traffic, you’ll need to make your product descriptions ",{"type":20,"tag":44,"props":18423,"children":18424},{"href":603},[18425],{"type":25,"value":18426},"SEO friendly",{"type":25,"value":18428}," by including a handful of keywords and phrases.",{"type":20,"tag":21,"props":18430,"children":18431},{},[18432],{"type":25,"value":18433},"Identify the main words and phrases that you think your buyers will be searching for and then be sure to include them in your description in an organic way. For instance, if you are offering fitness data, think about what someone searching for your fitness data might type into a search bar. You might want to include keywords like: fitness, heart rate, exercise, endurance, strength, health, etc.",{"type":20,"tag":21,"props":18435,"children":18436},{},[18437],{"type":25,"value":18438},"You’ll want a good mix of broad keywords and more specific ones. If you are offering data on treadmill workouts, for example, be sure to include words that describe that type of fitness data, such as words like: treadmill, running, jogging, speed, cardio, etc.",{"type":20,"tag":21,"props":18440,"children":18441},{},[18442],{"type":25,"value":18443},"You can stealthily work all of your selected keywords into sentences like this:",{"type":20,"tag":21,"props":18445,"children":18446},{},[18447],{"type":25,"value":18448},"This dataset contains fitness data on males and females that use at-home treadmills for cardio, including information on heart rates, BMI, and mile run times. If you’re seeking fitness data related to cardio exercise, specifically running and jogging, this data will provide key insights regarding at-home treadmill users’ speed, strength, endurance, and health.",{"type":20,"tag":21,"props":18450,"children":18451},{},[18452],{"type":25,"value":18453},"You don’t want to overdo the amount of keywords to the point that it feels forced, but you do want to include them organically and strategically so that both humans and search engines will be able to find your products and understand them easily.",{"type":20,"tag":21,"props":18455,"children":18456},{},[18457],{"type":25,"value":18458},"You should also be sure to include internal linking in a product description if you offer similar products that your buyers might want to be directed to. This means linking to related data products that your customers would likely be interested in. For instance, if you are writing a description for a treadmill data product and you also offer data products on other cardio fitness data (such as cycling), you could link to those products so that your customers can seamlessly be directed there.",{"type":20,"tag":21,"props":18460,"children":18461},{},[18462],{"type":25,"value":18463},"You might do this at the end of your product description by adding a sentence that directs interested customer to click on another data product link (for the below examples, the underline indicates where a link would be):",{"type":20,"tag":21,"props":18465,"children":18466},{},[18467],{"type":25,"value":18468},"To discover more data products providing cardio data, click here.",{"type":20,"tag":21,"props":18470,"children":18471},{},[18472],{"type":25,"value":18473}," If you found this treadmill data useful, you might also like this cycling data!",{"type":20,"tag":21,"props":18475,"children":18476},{},[18477],{"type":25,"value":18478},"Check out the rest of our cardio data products here.",{"type":20,"tag":28,"props":18480,"children":18482},{"id":18481},"example-product-description-templates-to-get-you-started",[18483],{"type":25,"value":18484},"Example product description templates to get you started",{"type":20,"tag":21,"props":18486,"children":18487},{},[18488,18490,18495],{"type":25,"value":18489},"You will want each and every product description to be unique and different from your other product descriptions. This is because search engines want to see unique content and will penalize content that is too similar to other pages. It also will get boring for your buyers if every ",{"type":20,"tag":44,"props":18491,"children":18492},{"href":823},[18493],{"type":25,"value":18494},"data product",{"type":25,"value":18496}," has a cookie-cutter description. However, if you’re stuck on how to structure a good product description, here are a few templates that can give you inspiration:",{"type":20,"tag":21,"props":18498,"children":18499},{},[18500],{"type":25,"value":18501},"Example Template 1",{"type":20,"tag":21,"props":18503,"children":18504},{},[18505],{"type":25,"value":18506},"If you're looking for a dataset that _________, you've come to the right place. This dataset includes information on _____________, making it perfect for analysts and data scientists who are interested in ____________. With data on everything from _________ to __________, this dataset is a must-have for anyone looking to dig into _________.",{"type":20,"tag":21,"props":18508,"children":18509},{},[18510],{"type":25,"value":18511},"The dataset can be used to:",{"type":20,"tag":903,"props":18513,"children":18514},{},[18515,18520,18525],{"type":20,"tag":907,"props":18516,"children":18517},{},[18518],{"type":25,"value":18519},"Identify trends in ________________.",{"type":20,"tag":907,"props":18521,"children":18522},{},[18523],{"type":25,"value":18524},"Track ________________.",{"type":20,"tag":907,"props":18526,"children":18527},{},[18528],{"type":25,"value":18529},"Make predictions about ________________.",{"type":20,"tag":21,"props":18531,"children":18532},{},[18533],{"type":25,"value":18534},"Example Template 2",{"type":20,"tag":21,"props":18536,"children":18537},{},[18538],{"type":25,"value":18539},"This data was collected from ________ and offers information about ____________, including ____________, ____________, __________, and ____________.",{"type":20,"tag":21,"props":18541,"children":18542},{},[18543],{"type":25,"value":18544},"Data from ________ has a number of audiences and potential users.",{"type":20,"tag":21,"props":18546,"children":18547},{},[18548],{"type":25,"value":18549},"Example 1 of potential audience/user",{"type":20,"tag":903,"props":18551,"children":18552},{},[18553,18558,18563],{"type":20,"tag":907,"props":18554,"children":18555},{},[18556],{"type":25,"value":18557},"To track ___________.",{"type":20,"tag":907,"props":18559,"children":18560},{},[18561],{"type":25,"value":18562},"To look for correlations between ______________.",{"type":20,"tag":907,"props":18564,"children":18565},{},[18566],{"type":25,"value":18567},"To find patterns in sleep behavior that correlate with peak performance__________.",{"type":20,"tag":21,"props":18569,"children":18570},{},[18571],{"type":25,"value":18572},"Example 2 of potential audience/user",{"type":20,"tag":903,"props":18574,"children":18575},{},[18576,18580,18584],{"type":20,"tag":907,"props":18577,"children":18578},{},[18579],{"type":25,"value":18557},{"type":20,"tag":907,"props":18581,"children":18582},{},[18583],{"type":25,"value":18562},{"type":20,"tag":907,"props":18585,"children":18586},{},[18587],{"type":25,"value":18567},{"type":20,"tag":21,"props":18589,"children":18590},{},[18591],{"type":25,"value":18592},"Example Template 3",{"type":20,"tag":21,"props":18594,"children":18595},{},[18596],{"type":25,"value":18597},"This dataset includes information on ________________. All of this data was carefully collected from __________ using _____________. This information is extremely useful for anyone interested in _______________ and can be used to provide insight on _________________, _____________________, or _______________.",{"type":20,"tag":21,"props":18599,"children":18600},{},[18601],{"type":25,"value":18602},"If you find this data product helpful, you might also be interested in this data product.",{"type":20,"tag":28,"props":18604,"children":18606},{"id":18605},"want-help-creating-custom-data-products-that-will-drive-new-revenue-contact-our-experts-today-to-get-started",[18607,18609],{"type":25,"value":18608},"Want help creating custom data products that will drive new revenue? ",{"type":20,"tag":44,"props":18610,"children":18611},{"href":180},[18612],{"type":25,"value":18613},"Contact our experts today to get started!",{"title":8,"searchDepth":193,"depth":193,"links":18615},[],"content:blog:how-to-write-a-good-data-product-description.md","blog/how-to-write-a-good-data-product-description.md","blog/how-to-write-a-good-data-product-description",{"loc":11217},{"_path":18621,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":18622,"description":18623,"publishDate":18624,"author":1927,"ogImage":18625,"image":18625,"tags":18626,"authorSlug":1932,"body":18628,"_type":195,"_id":18981,"_source":197,"_file":18982,"_stem":18983,"_extension":200,"sitemap":18984},"/blog/identity-first-audience-building","Target Smarter, Not Harder–Identity-First Audience Building That Works","Audience building is only as strong as the identity data behind it. This post shows how composable identity transforms targeting, enables cleaner analytics, and fuels better AI model training—without black boxes or rigid systems getting in the way.","2025-04-24T12:13:30.000Z","/img/blog/2025/04/identity-and-audience-building-blog.png",[1262,1263,1264,18627,4181],"identity data",{"type":17,"children":18629,"toc":18968},[18630,18635,18640,18645,18650,18655,18661,18666,18671,18689,18694,18700,18713,18718,18726,18732,18737,18748,18753,18758,18776,18781,18792,18797,18802,18820,18839,18845,18850,18855,18860,18878,18883,18889,18894,18899,18917,18922,18928,18933,18938,18948,18956],{"type":20,"tag":21,"props":18631,"children":18632},{},[18633],{"type":25,"value":18634},"For years, audience building has been an exercise in compromise. Brands either settle for low-fidelity segments built on third-party approximations, or they rely on black-box identity solutions that lock them into rigid systems and limit transparency. In both cases, marketers, data scientists, and campaign strategists end up working around their tools—not with them.",{"type":20,"tag":21,"props":18636,"children":18637},{},[18638],{"type":25,"value":18639},"But what if identity didn’t have to be a compromise?",{"type":20,"tag":21,"props":18641,"children":18642},{},[18643],{"type":25,"value":18644},"What if your audience strategies were built on a foundation of flexible, transparent, and composable identity data—where you can see how every profile is stitched, refined, and activated?",{"type":20,"tag":21,"props":18646,"children":18647},{},[18648],{"type":25,"value":18649},"At Narrative, we believe better identity is the catalyst for smarter targeting. And when identity resolution is treated as a composable capability, not a proprietary walled garden, new possibilities emerge—not just for marketing, but also for analytics, model training, and product personalization.",{"type":20,"tag":21,"props":18651,"children":18652},{},[18653],{"type":25,"value":18654},"Here’s how identity-first thinking can transform the way organizations build, target, and engage their audiences.",{"type":20,"tag":1495,"props":18656,"children":18658},{"id":18657},"the-identity-gap-in-traditional-audience-building",[18659],{"type":25,"value":18660},"The Identity Gap in Traditional Audience Building",{"type":20,"tag":21,"props":18662,"children":18663},{},[18664],{"type":25,"value":18665},"Audience building starts with the people. But in traditional systems, the \"people\" are often faceless IDs, hashed emails, or devices. Stitching them into real, persistent profiles takes time, technology, and trust—especially in today’s privacy-first environment.",{"type":20,"tag":21,"props":18667,"children":18668},{},[18669],{"type":25,"value":18670},"Marketers trying to reach high-value consumers often face:",{"type":20,"tag":903,"props":18672,"children":18673},{},[18674,18679,18684],{"type":20,"tag":907,"props":18675,"children":18676},{},[18677],{"type":25,"value":18678},"Fragmented data across internal teams and third-party vendors.",{"type":20,"tag":907,"props":18680,"children":18681},{},[18682],{"type":25,"value":18683},"Black-box identity graphs with opaque logic and limited customizability.",{"type":20,"tag":907,"props":18685,"children":18686},{},[18687],{"type":25,"value":18688},"Inflexible activation workflows tied to specific platforms or ecosystems.",{"type":20,"tag":21,"props":18690,"children":18691},{},[18692],{"type":25,"value":18693},"These limitations force organizations to choose between speed and precision, or settle for cookie-cutter segments that may not reflect their actual goals.",{"type":20,"tag":1495,"props":18695,"children":18697},{"id":18696},"enter-composable-identity-a-new-foundation-for-smarter-targeting",[18698],{"type":25,"value":18699},"Enter Composable Identity: A New Foundation for Smarter Targeting",{"type":20,"tag":21,"props":18701,"children":18702},{},[18703,18705,18711],{"type":25,"value":18704},"As we shared in ",{"type":20,"tag":44,"props":18706,"children":18708},{"href":1859,"rel":18707},[538],[18709],{"type":25,"value":18710},"our last article",{"type":25,"value":18712},", Narrative’s approach to composable identity flips the script. Instead of one-size-fits-all graphs or managed identity services, we offer a transparent and modular identity resolution layer—built using Rosetta Stone, our proprietary data standardization engine.",{"type":20,"tag":21,"props":18714,"children":18715},{},[18716],{"type":25,"value":18717},"With Rosetta Stone, brands and data owners can map their data to a shared taxonomy without losing control or context. From there, our identity tools let them resolve, enrich, and activate profiles using the attributes that matter most to them—not to someone else.",{"type":20,"tag":21,"props":18719,"children":18720},{},[18721],{"type":20,"tag":33,"props":18722,"children":18723},{},[18724],{"type":25,"value":18725},"The result? A flexible identity spine that you can plug into audience building, model training, or campaign execution with full transparency and control.",{"type":20,"tag":1495,"props":18727,"children":18729},{"id":18728},"from-identity-to-audience-smarter-segmentation-starts-here",[18730],{"type":25,"value":18731},"From Identity to Audience: Smarter Segmentation Starts Here",{"type":20,"tag":21,"props":18733,"children":18734},{},[18735],{"type":25,"value":18736},"With an identity-first foundation, audience building becomes a lot more intelligent—and a lot more actionable. Here's how composable identity unlocks key benefits across the campaign lifecycle:",{"type":20,"tag":223,"props":18738,"children":18740},{"id":18739},"precision-targeting-at-scale",[18741,18743],{"type":25,"value":18742},"🎯 ",{"type":20,"tag":33,"props":18744,"children":18745},{},[18746],{"type":25,"value":18747},"Precision Targeting at Scale",{"type":20,"tag":21,"props":18749,"children":18750},{},[18751],{"type":25,"value":18752},"When you can resolve identities with confidence, segmentation doesn’t need to rely on fuzzy proxies or rigid categories. Want to build an audience of verified home buyers with recent mortgage activity? No problem. Looking for mid-career professionals in urban zip codes with high app engagement? Easy.",{"type":20,"tag":21,"props":18754,"children":18755},{},[18756],{"type":25,"value":18757},"Thanks to composable identity:",{"type":20,"tag":903,"props":18759,"children":18760},{},[18761,18766,18771],{"type":20,"tag":907,"props":18762,"children":18763},{},[18764],{"type":25,"value":18765},"You can bring in your own attributes (CRM data, behavioral traits, loyalty program info).",{"type":20,"tag":907,"props":18767,"children":18768},{},[18769],{"type":25,"value":18770},"Resolve it against high-fidelity identity graphs built from trusted sources.",{"type":20,"tag":907,"props":18772,"children":18773},{},[18774],{"type":25,"value":18775},"Enrich with additional fields like income range, purchase intent, or media consumption.",{"type":20,"tag":21,"props":18777,"children":18778},{},[18779],{"type":25,"value":18780},"The segmentation possibilities are endless—and completely customizable.",{"type":20,"tag":223,"props":18782,"children":18784},{"id":18783},"cleaner-inputs-better-analytics",[18785,18787],{"type":25,"value":18786},"📈 ",{"type":20,"tag":33,"props":18788,"children":18789},{},[18790],{"type":25,"value":18791},"Cleaner Inputs = Better Analytics",{"type":20,"tag":21,"props":18793,"children":18794},{},[18795],{"type":25,"value":18796},"Analytics teams often struggle to draw insights from messy, unlinked data. But with resolved identities as the backbone, you gain a single source of truth across platforms and touchpoints.",{"type":20,"tag":21,"props":18798,"children":18799},{},[18800],{"type":25,"value":18801},"That means:",{"type":20,"tag":903,"props":18803,"children":18804},{},[18805,18810,18815],{"type":20,"tag":907,"props":18806,"children":18807},{},[18808],{"type":25,"value":18809},"Attribution becomes more accurate, even in multi-channel environments.",{"type":20,"tag":907,"props":18811,"children":18812},{},[18813],{"type":25,"value":18814},"Cohort analysis reflects real user journeys, not broken sessions.",{"type":20,"tag":907,"props":18816,"children":18817},{},[18818],{"type":25,"value":18819},"Reporting becomes faster and more trustworthy, with less need for manual wrangling.",{"type":20,"tag":21,"props":18821,"children":18822},{},[18823,18825,18830,18832,18837],{"type":25,"value":18824},"Identity-first audience building doesn’t just help with ",{"type":20,"tag":2347,"props":18826,"children":18827},{},[18828],{"type":25,"value":18829},"who",{"type":25,"value":18831}," to target—it helps teams understand ",{"type":20,"tag":2347,"props":18833,"children":18834},{},[18835],{"type":25,"value":18836},"why",{"type":25,"value":18838}," those audiences matter.",{"type":20,"tag":1495,"props":18840,"children":18842},{"id":18841},"identity-for-model-training-and-fine-tuning",[18843],{"type":25,"value":18844},"Identity for Model Training and Fine-Tuning",{"type":20,"tag":21,"props":18846,"children":18847},{},[18848],{"type":25,"value":18849},"One of the most exciting use cases we’ve seen is the use of identity-resolved audiences as training data for AI models and decision engines.",{"type":20,"tag":21,"props":18851,"children":18852},{},[18853],{"type":25,"value":18854},"In a world increasingly shaped by personalization, ML and LLM models need high-quality signals—not just volume. When models are trained on fragmented or duplicative records, their outputs are biased, irrelevant, or hard to explain.",{"type":20,"tag":21,"props":18856,"children":18857},{},[18858],{"type":25,"value":18859},"Composable identity changes that dynamic:",{"type":20,"tag":903,"props":18861,"children":18862},{},[18863,18868,18873],{"type":20,"tag":907,"props":18864,"children":18865},{},[18866],{"type":25,"value":18867},"Model inputs are based on clean, deduplicated, and fully-resolved records.",{"type":20,"tag":907,"props":18869,"children":18870},{},[18871],{"type":25,"value":18872},"You can define exactly what traits go into each profile: transactional history, engagement level, demographics, etc.",{"type":20,"tag":907,"props":18874,"children":18875},{},[18876],{"type":25,"value":18877},"And because you have full visibility into how those identities were resolved, you can trace outputs back to source data with confidence.",{"type":20,"tag":21,"props":18879,"children":18880},{},[18881],{"type":25,"value":18882},"In essence, identity becomes the connective tissue between raw data and smarter models—whether you’re predicting churn, personalizing offers, or building generative tools that respond to customer behavior.",{"type":20,"tag":1495,"props":18884,"children":18886},{"id":18885},"no-black-boxes-no-guesswork",[18887],{"type":25,"value":18888},"No Black Boxes, No Guesswork",{"type":20,"tag":21,"props":18890,"children":18891},{},[18892],{"type":25,"value":18893},"The best part? None of this is locked behind proprietary tech.",{"type":20,"tag":21,"props":18895,"children":18896},{},[18897],{"type":25,"value":18898},"At Narrative, our platform is fully transparent and customizable. You decide:",{"type":20,"tag":903,"props":18900,"children":18901},{},[18902,18907,18912],{"type":20,"tag":907,"props":18903,"children":18904},{},[18905],{"type":25,"value":18906},"How identities are resolved and what rules govern linkages.",{"type":20,"tag":907,"props":18908,"children":18909},{},[18910],{"type":25,"value":18911},"What data sources are included (your own, licensed, or both).",{"type":20,"tag":907,"props":18913,"children":18914},{},[18915],{"type":25,"value":18916},"Where and how audience data gets activated—DSPs, CDPs, CRM tools, and more.",{"type":20,"tag":21,"props":18918,"children":18919},{},[18920],{"type":25,"value":18921},"By decoupling identity from rigid toolchains, we empower your teams to experiment, iterate, and innovate faster—without sacrificing precision or privacy.",{"type":20,"tag":1495,"props":18923,"children":18925},{"id":18924},"conclusion-start-with-identity-win-with-precision",[18926],{"type":25,"value":18927},"Conclusion: Start With Identity, Win With Precision",{"type":20,"tag":21,"props":18929,"children":18930},{},[18931],{"type":25,"value":18932},"If your goal is to build smarter, more effective audiences—whether for marketing, analytics, or AI—your first priority should be identity. Not the black-box kind. Not the take-it-or-leave-it kind. But composable identity: flexible, transparent, and tailored to your goals.",{"type":20,"tag":21,"props":18934,"children":18935},{},[18936],{"type":25,"value":18937},"With Narrative’s platform, identity resolution is no longer the bottleneck—it’s the launchpad.",{"type":20,"tag":21,"props":18939,"children":18940},{},[18941,18946],{"type":20,"tag":33,"props":18942,"children":18943},{},[18944],{"type":25,"value":18945},"Target smarter. Train smarter. Analyze smarter.",{"type":25,"value":18947}," It all starts with better identity.",{"type":20,"tag":21,"props":18949,"children":18950},{},[18951],{"type":20,"tag":2347,"props":18952,"children":18953},{},[18954],{"type":25,"value":18955},"Ready to build your next audience with confidence? Learn how Narrative’s composable identity tools can give you the precision—and flexibility—you need to succeed.",{"type":20,"tag":21,"props":18957,"children":18958},{},[18959],{"type":20,"tag":44,"props":18960,"children":18962},{"href":2150,"rel":18961},[538],[18963],{"type":20,"tag":33,"props":18964,"children":18965},{},[18966],{"type":25,"value":18967},"Let’s make data easy—together.",{"title":8,"searchDepth":193,"depth":193,"links":18969},[18970,18971,18972,18978,18979,18980],{"id":18657,"depth":193,"text":18660},{"id":18696,"depth":193,"text":18699},{"id":18728,"depth":193,"text":18731,"children":18973},[18974,18976],{"id":18739,"depth":380,"text":18975},"🎯 Precision Targeting at Scale",{"id":18783,"depth":380,"text":18977},"📈 Cleaner Inputs = Better Analytics",{"id":18841,"depth":193,"text":18844},{"id":18885,"depth":193,"text":18888},{"id":18924,"depth":193,"text":18927},"content:blog:identity-first-audience-building.md","blog/identity-first-audience-building.md","blog/identity-first-audience-building",{"loc":18621},{"_path":18986,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":18987,"description":18988,"publishDate":18989,"author":14801,"ogImage":18990,"image":18990,"tags":18991,"authorSlug":14806,"body":18992,"_type":195,"_id":19382,"_source":197,"_file":19383,"_stem":19384,"_extension":200,"sitemap":19385},"/blog/identity-optionality-building-a-smarter-identity-graph","Identity Optionality–Building a Smarter Identity Graph","Discover how a smarter identity graph turns scattered identifiers into persistent, evolving profiles—without locking you into a single provider.","2025-10-02T16:13:30.000Z","/img/blog/2025/10/identity-optionality.png",[1262,1263,1264,3098],{"type":17,"children":18993,"toc":19376},[18994,19002,19007,19017,19026,19031,19084,19096,19105,19116,19128,19171,19182,19191,19196,19283,19292,19304,19327,19339,19351,19363],{"type":20,"tag":28,"props":18995,"children":18997},{"id":18996},"identity-optionalitybuilding-a-smarter-identity-graph",[18998],{"type":20,"tag":33,"props":18999,"children":19000},{},[19001],{"type":25,"value":18987},{"type":20,"tag":21,"props":19003,"children":19004},{},[19005],{"type":25,"value":19006},"In today’s fragmented media landscape, no single identity provider can deliver the coverage, accuracy, and flexibility that businesses need. The proliferation of platforms, devices, and data types makes managing customer identities a complex and ongoing challenge.",{"type":20,"tag":21,"props":19008,"children":19009},{},[19010,19012],{"type":25,"value":19011},"At the center of this challenge lies a simple truth: ",{"type":20,"tag":33,"props":19013,"children":19014},{},[19015],{"type":25,"value":19016},"anyone can match IDs, but building and managing an identity graph that layers those IDs together over time—while giving you control and transparency—is no small task.",{"type":20,"tag":1495,"props":19018,"children":19020},{"id":19019},"the-limitations-of-one-dimensional-identity",[19021],{"type":20,"tag":33,"props":19022,"children":19023},{},[19024],{"type":25,"value":19025},"The Limitations of One-Dimensional Identity",{"type":20,"tag":21,"props":19027,"children":19028},{},[19029],{"type":25,"value":19030},"Most organizations begin with just one or two identifiers, but gaps quickly emerge:",{"type":20,"tag":903,"props":19032,"children":19033},{},[19034,19044,19054,19064,19074],{"type":20,"tag":907,"props":19035,"children":19036},{},[19037,19042],{"type":20,"tag":33,"props":19038,"children":19039},{},[19040],{"type":25,"value":19041},"IP-based traffic",{"type":25,"value":19043},": Broad but imprecise, representing multiple individuals in the same household.",{"type":20,"tag":907,"props":19045,"children":19046},{},[19047,19052],{"type":20,"tag":33,"props":19048,"children":19049},{},[19050],{"type":25,"value":19051},"Credit card transactions",{"type":25,"value":19053},": Valuable in verticals like QSR or retail, but rarely connected back to a persistent user profile.",{"type":20,"tag":907,"props":19055,"children":19056},{},[19057,19062],{"type":20,"tag":33,"props":19058,"children":19059},{},[19060],{"type":25,"value":19061},"Hashed emails",{"type":25,"value":19063},": A privacy-safe foundation, but users often maintain multiple emails (work, personal, shopping-only) that don’t always connect.",{"type":20,"tag":907,"props":19065,"children":19066},{},[19067,19072],{"type":20,"tag":33,"props":19068,"children":19069},{},[19070],{"type":25,"value":19071},"Mobile identifiers (MAIDs)",{"type":25,"value":19073},": Great for app-level targeting, but prone to churn as users switch devices or reset their ad IDs.",{"type":20,"tag":907,"props":19075,"children":19076},{},[19077,19082],{"type":20,"tag":33,"props":19078,"children":19079},{},[19080],{"type":25,"value":19081},"Customer PII (emails, phone numbers, addresses)",{"type":25,"value":19083},": The gold standard for first-party data, but difficult to activate without secure, scalable connections to external ecosystems.",{"type":20,"tag":21,"props":19085,"children":19086},{},[19087,19089,19094],{"type":25,"value":19088},"Taken in isolation, each data type provides only a ",{"type":20,"tag":33,"props":19090,"children":19091},{},[19092],{"type":25,"value":19093},"partial lens",{"type":25,"value":19095}," into the customer journey. Left unconnected, they lead to fragmented engagement and underutilized customer value.",{"type":20,"tag":1495,"props":19097,"children":19099},{"id":19098},"from-optionality-to-identity-graph",[19100],{"type":20,"tag":33,"props":19101,"children":19102},{},[19103],{"type":25,"value":19104},"From Optionality to Identity Graph",{"type":20,"tag":21,"props":19106,"children":19107},{},[19108,19110,19115],{"type":25,"value":19109},"The key isn’t just having multiple identity providers—it’s ",{"type":20,"tag":33,"props":19111,"children":19112},{},[19113],{"type":25,"value":19114},"managing that optionality through a cohesive identity graph",{"type":25,"value":191},{"type":20,"tag":21,"props":19117,"children":19118},{},[19119,19121,19126],{"type":25,"value":19120},"An identity graph acts as the ",{"type":20,"tag":33,"props":19122,"children":19123},{},[19124],{"type":25,"value":19125},"control layer",{"type":25,"value":19127},", integrating multiple identifiers into a single, flexible framework. Instead of a linear waterfall of matches, the graph enables you to:",{"type":20,"tag":903,"props":19129,"children":19130},{},[19131,19141,19151,19161],{"type":20,"tag":907,"props":19132,"children":19133},{},[19134,19139],{"type":20,"tag":33,"props":19135,"children":19136},{},[19137],{"type":25,"value":19138},"Layer multiple identifiers together",{"type":25,"value":19140}," (PII, hashed emails, MAIDs, CTV IDs, and more) to create persistent, evolving customer profiles.",{"type":20,"tag":907,"props":19142,"children":19143},{},[19144,19149],{"type":20,"tag":33,"props":19145,"children":19146},{},[19147],{"type":25,"value":19148},"Control the sources of truth",{"type":25,"value":19150},"—decide which provider is best for specific identifiers, and replace or supplement them as needed.",{"type":20,"tag":907,"props":19152,"children":19153},{},[19154,19159],{"type":20,"tag":33,"props":19155,"children":19156},{},[19157],{"type":25,"value":19158},"Evolve over time",{"type":25,"value":19160}," as new identifiers emerge or as regulations and customer behaviors shift.",{"type":20,"tag":907,"props":19162,"children":19163},{},[19164,19169],{"type":20,"tag":33,"props":19165,"children":19166},{},[19167],{"type":25,"value":19168},"Avoid lock-in",{"type":25,"value":19170}," to any single provider by ensuring that the graph—not the vendor—owns the connective tissue of your identity strategy.",{"type":20,"tag":21,"props":19172,"children":19173},{},[19174,19176,19181],{"type":25,"value":19175},"This approach turns identity from a static purchase into a ",{"type":20,"tag":33,"props":19177,"children":19178},{},[19179],{"type":25,"value":19180},"dynamic asset that compounds in value over time",{"type":25,"value":191},{"type":20,"tag":1495,"props":19183,"children":19185},{"id":19184},"use-cases-for-identity-graph-optionality",[19186],{"type":20,"tag":33,"props":19187,"children":19188},{},[19189],{"type":25,"value":19190},"Use Cases for Identity Graph + Optionality",{"type":20,"tag":21,"props":19192,"children":19193},{},[19194],{"type":25,"value":19195},"By managing identity optionality through a graph, businesses unlock more precise, cost-efficient, and future-proof outcomes:",{"type":20,"tag":903,"props":19197,"children":19198},{},[19199,19209,19226,19236],{"type":20,"tag":907,"props":19200,"children":19201},{},[19202,19207],{"type":20,"tag":33,"props":19203,"children":19204},{},[19205],{"type":25,"value":19206},"Media Networks & Publishers:",{"type":25,"value":19208}," Increase the percentage of addressable impressions by stitching together hashed emails from one provider, mobile IDs from another, and CTV household IDs from a third. The graph ensures persistent profiles and maximized ad yield.",{"type":20,"tag":907,"props":19210,"children":19211},{},[19212,19217,19219,19224],{"type":20,"tag":33,"props":19213,"children":19214},{},[19215],{"type":25,"value":19216},"Marketers & Brands:",{"type":25,"value":19218}," Start with customer PII from loyalty programs, then enrich with external partners for mobile IDs and hashed emails. The identity graph acts as the ",{"type":20,"tag":33,"props":19220,"children":19221},{},[19222],{"type":25,"value":19223},"memory",{"type":25,"value":19225},", preserving those linkages over time so personalization and measurement improve with each campaign.",{"type":20,"tag":907,"props":19227,"children":19228},{},[19229,19234],{"type":20,"tag":33,"props":19230,"children":19231},{},[19232],{"type":25,"value":19233},"Agencies & Ad Tech Platforms:",{"type":25,"value":19235}," Agencies managing diverse clients can dynamically switch providers per campaign or vertical. The graph centralizes identity across clients, ensuring optionality without losing consistency.",{"type":20,"tag":907,"props":19237,"children":19238},{},[19239,19244],{"type":20,"tag":33,"props":19240,"children":19241},{},[19242],{"type":25,"value":19243},"Vertical-Specific Examples:",{"type":20,"tag":903,"props":19245,"children":19246},{},[19247,19257,19267],{"type":20,"tag":907,"props":19248,"children":19249},{},[19250,19255],{"type":20,"tag":33,"props":19251,"children":19252},{},[19253],{"type":25,"value":19254},"QSRs:",{"type":25,"value":19256}," Link card transactions to hashed emails, then enrich with mobile IDs for same-day retargeting. Over time, the graph builds durable customer profiles that bridge offline and online.",{"type":20,"tag":907,"props":19258,"children":19259},{},[19260,19265],{"type":20,"tag":33,"props":19261,"children":19262},{},[19263],{"type":25,"value":19264},"Financial Services:",{"type":25,"value":19266}," Maintain strict compliance by keeping verified PII at the core of the graph, while layering in device and behavioral IDs for scale.",{"type":20,"tag":907,"props":19268,"children":19269},{},[19270,19275,19277,19282],{"type":20,"tag":33,"props":19271,"children":19272},{},[19273],{"type":25,"value":19274},"Retail Media Networks:",{"type":25,"value":19276}," Use the graph to merge first-party purchase data with supplemental identifiers, offering advertisers a ",{"type":20,"tag":33,"props":19278,"children":19279},{},[19280],{"type":25,"value":19281},"holistic but privacy-conscious audience view",{"type":25,"value":191},{"type":20,"tag":1495,"props":19284,"children":19286},{"id":19285},"why-managing-optionality-is-hardand-valuable",[19287],{"type":20,"tag":33,"props":19288,"children":19289},{},[19290],{"type":25,"value":19291},"Why Managing Optionality is Hard—and Valuable",{"type":20,"tag":21,"props":19293,"children":19294},{},[19295,19297,19302],{"type":25,"value":19296},"The hard part isn’t finding identity matches—it’s ",{"type":20,"tag":33,"props":19298,"children":19299},{},[19300],{"type":25,"value":19301},"governing the complexity",{"type":25,"value":19303},":",{"type":20,"tag":903,"props":19305,"children":19306},{},[19307,19312,19317,19322],{"type":20,"tag":907,"props":19308,"children":19309},{},[19310],{"type":25,"value":19311},"Ensuring deduplication and avoiding false linkages across multiple providers",{"type":20,"tag":907,"props":19313,"children":19314},{},[19315],{"type":25,"value":19316},"Continuously updating identifiers as customers switch devices, emails, or preferences",{"type":20,"tag":907,"props":19318,"children":19319},{},[19320],{"type":25,"value":19321},"Prioritizing coverage vs. cost when multiple providers can resolve the same identifier",{"type":20,"tag":907,"props":19323,"children":19324},{},[19325],{"type":25,"value":19326},"Adapting quickly to shifts in privacy regulations or platform-level changes (e.g., IDFA deprecation)",{"type":20,"tag":21,"props":19328,"children":19329},{},[19330,19332,19337],{"type":25,"value":19331},"An identity graph is what makes this manageable. It turns optionality from chaos into a ",{"type":20,"tag":33,"props":19333,"children":19334},{},[19335],{"type":25,"value":19336},"strategic advantage",{"type":25,"value":19338},", giving organizations the control to adapt, the flexibility to choose, and the persistence to build value over time.",{"type":20,"tag":21,"props":19340,"children":19341},{},[19342,19344,19349],{"type":25,"value":19343},"Identity optionality isn’t just about having more data providers—it’s about building an ",{"type":20,"tag":33,"props":19345,"children":19346},{},[19347],{"type":25,"value":19348},"identity graph",{"type":25,"value":19350}," that manages them intelligently.",{"type":20,"tag":21,"props":19352,"children":19353},{},[19354,19356,19361],{"type":25,"value":19355},"By layering identifiers, enforcing controls, and evolving with the market, businesses can transform identity from a fragmented necessity into a ",{"type":20,"tag":33,"props":19357,"children":19358},{},[19359],{"type":25,"value":19360},"core strategic asset",{"type":25,"value":19362},". The organizations that succeed will be the ones that don’t just match IDs, but manage them—flexibly, persistently, and at scale.",{"type":20,"tag":21,"props":19364,"children":19365},{},[19366,19368],{"type":25,"value":19367},"Ready to build and scale your identiy graph? ",{"type":20,"tag":44,"props":19369,"children":19371},{"href":2150,"rel":19370},[538],[19372],{"type":20,"tag":33,"props":19373,"children":19374},{},[19375],{"type":25,"value":7548},{"title":8,"searchDepth":193,"depth":193,"links":19377},[19378,19379,19380,19381],{"id":19019,"depth":193,"text":19025},{"id":19098,"depth":193,"text":19104},{"id":19184,"depth":193,"text":19190},{"id":19285,"depth":193,"text":19291},"content:blog:identity-optionality-building-a-smarter-identity-graph.md","blog/identity-optionality-building-a-smarter-identity-graph.md","blog/identity-optionality-building-a-smarter-identity-graph",{"loc":18986},{"_path":19387,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":19388,"description":19389,"publishDate":19390,"author":7560,"ogImage":19391,"image":19391,"tags":19392,"body":19393,"_type":195,"_id":19715,"_source":197,"_file":19716,"_stem":19717,"_extension":200,"sitemap":19718},"/blog/identity-resolution","What is identity resolution? A guide to building an identity graph","An identity resolution strategy that connects disparate identifiers to persistent customer profiles, an identity graph, is imperative for marketing success","2019-10-10 16:37:39","/img/blog/2019/10/identity-resolution-social.png",[4365,3098],{"type":17,"children":19394,"toc":19711},[19395,19414,19419,19424,19437,19442,19447,19453,19458,19464,19482,19497,19502,19514,19519,19524,19529,19534,19540,19545,19550,19555,19560,19565,19571,19585,19603,19617,19629,19641,19647,19657,19666,19671,19680,19685,19694,19699],{"type":20,"tag":21,"props":19396,"children":19397},{},[19398,19403,19405,19412],{"type":20,"tag":44,"props":19399,"children":19400},{"href":115},[19401],{"type":25,"value":19402},"Identity resolution",{"type":25,"value":19404}," is the process of connecting multiple ",{"type":20,"tag":44,"props":19406,"children":19409},{"href":19407,"rel":19408},"https://www.narrative.io/data-types/digital-identity-data",[538],[19410],{"type":25,"value":19411},"identifiers",{"type":25,"value":19413}," across devices and channels to build a cohesive, omnichannel view of individual consumers.",{"type":20,"tag":21,"props":19415,"children":19416},{},[19417],{"type":25,"value":19418},"In this era of people-based marketing, getting identity resolution right is foundational to the success of all aspects of marketing strategy, impacting everything from insight generation and media optimization to measurement, attribution, and the delivery of better individual customer experiences.",{"type":20,"tag":21,"props":19420,"children":19421},{},[19422],{"type":25,"value":19423},"But identity resolution isn’t easy.",{"type":20,"tag":21,"props":19425,"children":19426},{},[19427,19429,19435],{"type":25,"value":19428},"The average US household already has more than 20 internet-enabled devices, meaning consumers can readily switch between screens at a moment’s notice. Every time a consumer uses one of these multiple devices or channels to interact with a brand, a different identifier—such as email address, device ID, ",{"type":20,"tag":44,"props":19430,"children":19432},{"href":19431},"/blog/what-to-do-when-your-cookies-are-taken-away",[19433],{"type":25,"value":19434},"cookie",{"type":25,"value":19436},", IP address, or phone number—is attributed to that individual. It’s up to the brand to understand which identifiers belong to which consumer, as well as what these various signals and behaviors mean.",{"type":20,"tag":21,"props":19438,"children":19439},{},[19440],{"type":25,"value":19441},"Marketers must be able to find a way to connect all these disparate cross device identifiers back to the people they stand for by creating and maintaining a database of persistent customer profiles, known as an identity graph.",{"type":20,"tag":21,"props":19443,"children":19444},{},[19445],{"type":25,"value":19446},"However, most companies’ ability to connect their first-party identifiers to individual profiles at a scale that is consistent and accurate enough to leverage for the benefits and use cases needed is limited. Thus, marketers must augment their first-party identity graphs with third-party data sources and identifiers that allow them to better activate the data.",{"type":20,"tag":223,"props":19448,"children":19450},{"id":19449},"how-to-build-an-identity-graph",[19451],{"type":25,"value":19452},"How to build an identity graph",{"type":20,"tag":21,"props":19454,"children":19455},{},[19456],{"type":25,"value":19457},"Typically, marketers have had two options when it comes to augmenting their first-party identity graph with additional customer information: onboard to a third-party identity graph or acquire the data directly.",{"type":20,"tag":5193,"props":19459,"children":19461},{"id":19460},"option-1-use-a-third-party-identity-graph",[19462],{"type":25,"value":19463},"Option 1: Use a third-party identity graph",{"type":20,"tag":21,"props":19465,"children":19466},{},[19467,19469,19473,19475,19480],{"type":25,"value":19468},"Third-party identity graphs collect identity data from numerous identity originators and aggregate it into a proprietary identity graph. Brands can then push, or onboard, their ",{"type":20,"tag":44,"props":19470,"children":19471},{"href":46},[19472],{"type":25,"value":49},{"type":25,"value":19474}," (including offline data) from their data management platform (DMP) or ",{"type":20,"tag":44,"props":19476,"children":19477},{"href":350},[19478],{"type":25,"value":19479},"data warehouse",{"type":25,"value":19481}," to the provider, which matches individual identifiers across touchpoints and links them to a proprietary persistent ID that follows the individual even as identifiers change.",{"type":20,"tag":21,"props":19483,"children":19484},{},[19485],{"type":20,"tag":44,"props":19486,"children":19488},{"href":19487},"/blog/universal-onboarding",[19489],{"type":20,"tag":2347,"props":19490,"children":19491},{},[19492],{"type":20,"tag":33,"props":19493,"children":19494},{},[19495],{"type":25,"value":19496},"Learn how Narrative makes data onboarding fast, easy, and cost-effective.",{"type":20,"tag":21,"props":19498,"children":19499},{},[19500],{"type":25,"value":19501},"After the linkage is made, brands then pay a fee to the vendor based on data volume, number of channels, and types of data licensed, in order to activate the graph for digital display advertising and consumer insights and analysis.",{"type":20,"tag":21,"props":19503,"children":19504},{},[19505,19507,19512],{"type":25,"value":19506},"Using a third-party identity graph gives brands the ability to quickly and easily ",{"type":20,"tag":44,"props":19508,"children":19509},{"href":78},[19510],{"type":25,"value":19511},"augment their customer data",{"type":25,"value":19513}," with additional identifiers, but at the expense of ownership of the final product. Brands don’t own the resulting customer graph, but rather “rent” it from the vendor, paying per use case and beholden to the criteria that the provider deems important, not the brand.",{"type":20,"tag":21,"props":19515,"children":19516},{},[19517],{"type":25,"value":19518},"Brands don’t own the underlying data sets and linkages, and often have limited visibility into user-level data. Their ability to generate insights, optimize performance, and determine attribution are limited by the provider’s capabilities.",{"type":20,"tag":21,"props":19520,"children":19521},{},[19522],{"type":25,"value":19523},"Furthermore, by renting a third-party identity graph, brands must place their trust in the matching methodology of that vendor. Third-party vendors often tout high match rates, but provide little visibility into how they determine what constitutes a match. A high match rate is of little use if the underlying data is inaccurate.",{"type":20,"tag":21,"props":19525,"children":19526},{},[19527],{"type":25,"value":19528},"As identity becomes increasingly critical to measurement and attribution, insight generation, media optimization, and the delivery of better individual customer experiences, the costs and limitations of renting a third-party identity graph will only grow more acute.",{"type":20,"tag":21,"props":19530,"children":19531},{},[19532],{"type":25,"value":19533},"You wouldn’t install a $10,000 speaker system in a rental car, so why would you base the core foundation of a multi-million dollar marketing strategy off of a rented identity graph?",{"type":20,"tag":5193,"props":19535,"children":19537},{"id":19536},"option-2-build-an-identity-graph-in-house",[19538],{"type":25,"value":19539},"Option 2: Build an identity graph in-house",{"type":20,"tag":21,"props":19541,"children":19542},{},[19543],{"type":25,"value":19544},"To maintain control over their identity graphs, the most progressive brands are bringing identity resolution in-house. Brands make direct deals with other companies to purchase their first-party identity data, which they can then match to their own within a customer data platform (CDP). With each new source of data, brands can fill in the holes in their customer identity profiles and create a robust ID graph custom-built for their specific needs, strategies, and goals.",{"type":20,"tag":21,"props":19546,"children":19547},{},[19548],{"type":25,"value":19549},"Building an ID graph in-house gives brands control over the way that identity data is collected, matched, and stored. By purchasing identity data directly from the originators of that data, brands can ensure the data they’re feeding into their graphs meets their standards for quality, trustworthiness, and compliance.",{"type":20,"tag":21,"props":19551,"children":19552},{},[19553],{"type":25,"value":19554},"Resolving identity in-house also gives brands control over how data is matched by choosing when to employ deterministic matching and when to use probabilistic techniques. When a brand controls their ID graph, they decide what tradeoffs to make for accuracy versus reach depending on the specific use cases and goals.",{"type":20,"tag":21,"props":19556,"children":19557},{},[19558],{"type":25,"value":19559},"Furthermore, when brands own their identity graph, they can use the underlying data and linkages as they see fit. This allows them to extract maximum value from their graph beyond one campaign or application. The data can be used to activate a campaign, integrate with partners, analyze for customer insights, understand attribution, and more.",{"type":20,"tag":21,"props":19561,"children":19562},{},[19563],{"type":25,"value":19564},"The limiting factor to this approach, however, is that it has typically been extremely time and labor intensive. For each new partnership, numerous cross-functional teams must get involved. Finance has to agree on pricing and payment, lawyers have to agree on a set of terms and conditions, and engineers have to connect systems and platforms—and that’s only after your data science team has determined that the data you want to purchase will actually be useful. Multiply this process by each supplier you partner with, and it could take numerous years and thousands of employee-hours to build an actionable identity graph.",{"type":20,"tag":223,"props":19566,"children":19568},{"id":19567},"the-future-of-identity-resolution",[19569],{"type":25,"value":19570},"The future of identity resolution",{"type":20,"tag":21,"props":19572,"children":19573},{},[19574,19576,19583],{"type":25,"value":19575},"Brands are investing heavily in identity resolution, and will continue to do so. In fact, ",{"type":20,"tag":44,"props":19577,"children":19580},{"href":19578,"rel":19579},"https://www.statista.com/statistics/1202661/identity-solutions-usa/",[538],[19581],{"type":25,"value":19582},"the spending on identity solutions for marketing and advertising in the United States is expected to increase to 8.2 billion by 2024",{"type":25,"value":19584},". The brands that will succeed in this environment won't be the ones using the same identity graph as their competitors. The competitive advantage will instead be given to the brands that are able to resolve identity in unique ways based on unique use cases.",{"type":20,"tag":21,"props":19586,"children":19587},{},[19588,19590,19594,19595,19601],{"type":25,"value":19589},"What brands need is a solution that gives them the precision, transparency, and control of building an ID graph in-house, but allows them to do so with the ",{"type":20,"tag":44,"props":19591,"children":19592},{"href":7879},[19593],{"type":25,"value":9578},{"type":25,"value":152},{"type":20,"tag":44,"props":19596,"children":19598},{"href":19597},"/blog/the-spotify-of-data",[19599],{"type":25,"value":19600},"ease",{"type":25,"value":19602},", and scale of using a third-party provider.",{"type":20,"tag":21,"props":19604,"children":19605},{},[19606,19608,19615],{"type":25,"value":19607},"In the late 2000s, ",{"type":20,"tag":44,"props":19609,"children":19612},{"href":19610,"rel":19611},"https://www.mobidea.com/academy/demand-side-platforms/",[538],[19613],{"type":25,"value":19614},"demand-side platforms (DSPs) transformed the world of digital advertising",{"type":25,"value":19616}," by enabling advertisers to evaluate ad space on millions of websites instantly, and then buy the inventory that met their specific criteria in real time.",{"type":20,"tag":21,"props":19618,"children":19619},{},[19620,19622,19627],{"type":25,"value":19621},"Narrative is rebuilding the data industry in a similar way. Using Narrative, brands are able to evaluate ",{"type":20,"tag":44,"props":19623,"children":19625},{"href":19407,"rel":19624},[538],[19626],{"type":25,"value":18627},{"type":25,"value":19628}," from numerous suppliers at once, and then purchase the precise data points they need based on their explicit criteria.",{"type":20,"tag":21,"props":19630,"children":19631},{},[19632,19634,19639],{"type":25,"value":19633},"With Narrative, brands can quickly and easily ",{"type":20,"tag":44,"props":19635,"children":19636},{"href":115},[19637],{"type":25,"value":19638},"build a proprietary identity graph",{"type":25,"value":19640}," according to their specific business needs, strategies, and goals. With full control and ownership of their identity graphs—and the data and linkages that underlie them—brands reduce risk, eliminate costly licensing fees, and gain the ability to build fully attributable, measurable, and actionable marketing strategies across the full customer experience.",{"type":20,"tag":28,"props":19642,"children":19644},{"id":19643},"building-an-in-house-identity-graph-with-narrative",[19645],{"type":25,"value":19646},"Building an in-house identity graph with Narrative",{"type":20,"tag":21,"props":19648,"children":19649},{},[19650,19655],{"type":20,"tag":44,"props":19651,"children":19653},{"href":7170,"rel":19652},[538],[19654],{"type":25,"value":15643},{"type":25,"value":19656}," like Narrative allow you to evaluate identity data from numerous suppliers at once, and then purchase the precise data points that you need. This can be done in a few, quick steps! Here is how it works:",{"type":20,"tag":28,"props":19658,"children":19660},{"id":19659},"step-1",[19661],{"type":20,"tag":33,"props":19662,"children":19663},{},[19664],{"type":25,"value":19665},"Step 1:",{"type":20,"tag":21,"props":19667,"children":19668},{},[19669],{"type":25,"value":19670},"First, you'll onboard customer records from your CRM, DMP, or CDP, to Narrative's data collaboration platform. You can take your customer records exactly as they are stored and ingest that data into Narrative's platform with just a few clicks.",{"type":20,"tag":28,"props":19672,"children":19674},{"id":19673},"step-2",[19675],{"type":20,"tag":33,"props":19676,"children":19677},{},[19678],{"type":25,"value":19679},"Step 2:",{"type":20,"tag":21,"props":19681,"children":19682},{},[19683],{"type":25,"value":19684},"Once you've onboarded your customer records, the next step is connecting all of your data to your ID graph. Email hashes, device identifiers, phone numbers, mobile IDs, cookies, and more can comprise identity graphs. Narrative will enrich your data for you with new connections and send your new customer profiles to your preferred endpoint.",{"type":20,"tag":28,"props":19686,"children":19688},{"id":19687},"step-3",[19689],{"type":20,"tag":33,"props":19690,"children":19691},{},[19692],{"type":25,"value":19693},"Step 3:",{"type":20,"tag":21,"props":19695,"children":19696},{},[19697],{"type":25,"value":19698},"Once you’ve received your newly enriched customer profiles, you’ll want to activate your data. Connect digital identity profiles to ad platforms, media partners, analytics tools or a combination of endpoints to suit business needs. When an ID graph is already connected to activation channels, customers and consumers can be quickly and continuously recognized.",{"type":20,"tag":21,"props":19700,"children":19701},{},[19702],{"type":20,"tag":33,"props":19703,"children":19704},{},[19705,19707],{"type":25,"value":19706},"Interested in learning more about how Narrative can help power your identity resolution strategy? ",{"type":20,"tag":44,"props":19708,"children":19709},{"href":180},[19710],{"type":25,"value":8578},{"title":8,"searchDepth":193,"depth":193,"links":19712},[19713,19714],{"id":19449,"depth":380,"text":19452},{"id":19567,"depth":380,"text":19570},"content:blog:identity-resolution.md","blog/identity-resolution.md","blog/identity-resolution",{"loc":19387},{"_path":19720,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":19721,"description":19722,"publishDate":19723,"author":3094,"ogImage":19724,"image":19724,"tags":19725,"authorSlug":3099,"body":19726,"_type":195,"_id":19902,"_source":197,"_file":19903,"_stem":19904,"_extension":200,"sitemap":19905},"/blog/in-search-of-efficient-data-narratives-origin-story","In Search of Efficient Data: Narrative’s Origin Story","Buy and selling data has historically been an operational nightmare.  We started Narrative to make the data economy more efficient.","2019-04-25 17:39:00","/img/blog/2019/04/narrative-origin-BLOG.jpg",[209],{"type":17,"children":19727,"toc":19899},[19728,19734,19739,19744,19749,19754,19759,19764,19769,19774,19779,19784,19789,19794,19799,19804,19809,19814,19819,19824,19829,19834,19839,19844,19849,19854,19859,19864,19869,19874,19879,19884,19889],{"type":20,"tag":1495,"props":19729,"children":19731},{"id":19730},"buried-under-a-mountain-of-inefficiencies-was-an-idea-for-a-new-narrative",[19732],{"type":25,"value":19733},"Buried under a mountain of inefficiencies was an idea for a new Narrative",{"type":20,"tag":21,"props":19735,"children":19736},{},[19737],{"type":25,"value":19738},"It used to happen all the time and it drove us nuts.",{"type":20,"tag":21,"props":19740,"children":19741},{},[19742],{"type":25,"value":19743},"One of our data scientists would formulate a hypothesis on what data they needed to improve their predictive models. The problem was that we rarely had what they were looking for in-house.",{"type":20,"tag":21,"props":19745,"children":19746},{},[19747],{"type":25,"value":19748},"Hypothesis dead. Models starved.",{"type":20,"tag":21,"props":19750,"children":19751},{},[19752],{"type":25,"value":19753},"As I said, it drove us nuts.",{"type":20,"tag":21,"props":19755,"children":19756},{},[19757],{"type":25,"value":19758},"So now let me tell you my story, of how all of this led me to create a new Narrative for the industry.",{"type":20,"tag":21,"props":19760,"children":19761},{},[19762],{"type":25,"value":19763},"I was SVP of Product / Strategy at Tapad, a sophisticated marketing technology company that was practically drowning in data. The whole company was built on the premise of painting as complete a picture as possible of consumers using multiple digital devices.",{"type":20,"tag":21,"props":19765,"children":19766},{},[19767],{"type":25,"value":19768},"We had literally geniuses on staff. PHDs. Not to mention the petabytes of monthly information at our fingertips.",{"type":20,"tag":21,"props":19770,"children":19771},{},[19772],{"type":25,"value":19773},"That sounds incredible, and it was. Yet we never had enough and always needed more. I would constantly hear from experts inside data-rich companies that for all the information they had about customers or products, there were always missing pieces. The same held true for us.",{"type":20,"tag":21,"props":19775,"children":19776},{},[19777],{"type":25,"value":19778},"Theoretically, it should have been easy to fill in those blanks. Keep in mind, this wasn’t 1998 - it was 2016, and we were living in the big data era.",{"type":20,"tag":21,"props":19780,"children":19781},{},[19782],{"type":25,"value":19783},"Except it wasn’t easy at all.",{"type":20,"tag":21,"props":19785,"children":19786},{},[19787],{"type":25,"value":19788},"You might ask, ‘well, why didn’t you hook up your fancy software to some data exchanges and get more?’ Or ‘why didn’t you just cut deals with companies that had what you were looking for and buy it?’",{"type":20,"tag":21,"props":19790,"children":19791},{},[19792],{"type":25,"value":19793},"We tried. It sounds easy. It wasn’t.",{"type":20,"tag":21,"props":19795,"children":19796},{},[19797],{"type":25,"value":19798},"Here’s how it played out. Our business development team would spend some time trying to figure out which companies might have the signal that would help support our hypothesis or yield new insights that could improve our products.",{"type":20,"tag":21,"props":19800,"children":19801},{},[19802],{"type":25,"value":19803},"Once we found the right companies, we’d have to help them lay the groundwork for extracting and selling it. You have to realize, we weren’t talking about marketing clouds here. These were companies who had never sold data before or had only considered it as an exhaust opportunity.",{"type":20,"tag":21,"props":19805,"children":19806},{},[19807],{"type":25,"value":19808},"Even if we had convinced them to sell to us (not always easy) we’d have to help them price it out (even harder).",{"type":20,"tag":21,"props":19810,"children":19811},{},[19812],{"type":25,"value":19813},"Then we’d have to hold their hands while they steered these sales plans throughout the proper legal and compliance channels. As you might imagine, this was not a smooth or quick process for companies not used to trading in data.",{"type":20,"tag":21,"props":19815,"children":19816},{},[19817],{"type":25,"value":19818},"This was all before we’d even get our hands on the data to test it, let alone make sure it could be accessed via our systems and technology. That usually meant building out a custom integration, testing it, tweaking it, supporting it, and hoping nothing got hosed along the way.",{"type":20,"tag":21,"props":19820,"children":19821},{},[19822],{"type":25,"value":19823},"We’d work through these tedious steps still not sure whether any of it was going to pay off. These were hypotheses, remember? What if we got what we wanted, and it didn’t pay off in the way we’d expected?",{"type":20,"tag":21,"props":19825,"children":19826},{},[19827],{"type":25,"value":19828},"As with all hypothesis, sometimes they didn’t pan out. Many times, the data we’d get out of this process didn’t pan out. Sometimes it was because it was duplicative with our existing datasets. Sometimes it didn’t provide any signal to our models. And sometimes our hypothesis was just bad.",{"type":20,"tag":21,"props":19830,"children":19831},{},[19832],{"type":25,"value":19833},"We understood the value of data when we could get our hands on it, but the cost of trying to get it often made the whole exercise untenable.",{"type":20,"tag":21,"props":19835,"children":19836},{},[19837],{"type":25,"value":19838},"Clearly, data acquisition was not exactly a couple of clicks and a simple software download. And we’d have to do this again and again for every potential partner.",{"type":20,"tag":21,"props":19840,"children":19841},{},[19842],{"type":25,"value":19843},"It was hand to hand combat. There were reverse network effects. It would never scale.",{"type":20,"tag":21,"props":19845,"children":19846},{},[19847],{"type":25,"value":19848},"To be sure, we understood what our partners were up against. Tapad also licensed data in the form of the output of our models. We experienced all of the same headaches. We knew we had something that could create massive value, but figuring out how to operationalize the initiative proved difficult.",{"type":20,"tag":21,"props":19850,"children":19851},{},[19852],{"type":25,"value":19853},"My initial reaction to this problem is that there must be existing solutions that can solve my problems. With all of the companies claiming to have “data clouds” and “data stores”, clearly my pain would go away with a well-placed phone call.",{"type":20,"tag":21,"props":19855,"children":19856},{},[19857],{"type":25,"value":19858},"The market I found when I began to do the research was littered with companies that promised to solve all of my data problems. But upon closer inspection, I realized they did nothing of the sort.",{"type":20,"tag":21,"props":19860,"children":19861},{},[19862],{"type":25,"value":19863},"Solutions inevitably consisted of someone making data “simple” for me, but in doing so they would simplify the data to the point that it was no longer useful. They would create a layer of opacity that obfuscated where the data came from and how it was collected. This would eliminate our ability to create a custom strategy as to what we wanted to buy or sell.",{"type":20,"tag":21,"props":19865,"children":19866},{},[19867],{"type":25,"value":19868},"This was a model I had seen before albeit unrelated to data. It was the ad network model – no visibility, no control, and uncertain quality.",{"type":20,"tag":21,"props":19870,"children":19871},{},[19872],{"type":25,"value":19873},"Fundamentally I don’t have a problem with a brokerage / middle-man model where appropriate. That being said I think as any market matures, middle-men start to make less sense. People need to start building sophisticated strategies which require direct ownership of those strategies.",{"type":20,"tag":21,"props":19875,"children":19876},{},[19877],{"type":25,"value":19878},"At Tapad, our data science and data engineering teams wanted raw data that hadn’t gone through anyone else’s black box, hadn’t been aggregated and had a rich set of attributes. They didn’t want someone else’s idea of what might be valuable.",{"type":20,"tag":21,"props":19880,"children":19881},{},[19882],{"type":25,"value":19883},"Then it hit me. If we were experiencing this wildly effective set of market circumstances, this had to be happening all over our industry. And other industries. On every functional team. Everywhere.",{"type":20,"tag":21,"props":19885,"children":19886},{},[19887],{"type":25,"value":19888},"If somebody could get this right - by building data acquisition software (and the accompanying data monetization software) that makes things easily discoverable, transparent and selective - we could unlock the full potential of the data-driven economy. If we could make acquisition and monetization operate with the exact precision and monster scale we’d seen in programmatic ad buying, our product could be revolutionary for buyers and sellers. We’d transform how organizations thought about and use data.",{"type":20,"tag":21,"props":19890,"children":19891},{},[19892,19894,19898],{"type":25,"value":19893},"So we got to work on a new ",{"type":20,"tag":44,"props":19895,"children":19896},{"href":3775},[19897],{"type":25,"value":3778},{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":19900},[19901],{"id":19730,"depth":193,"text":19733},"content:blog:in-search-of-efficient-data-narratives-origin-story.md","blog/in-search-of-efficient-data-narratives-origin-story.md","blog/in-search-of-efficient-data-narratives-origin-story",{"loc":19720},{"_path":19907,"_dir":8,"_draft":7,"_partial":7,"_locale":8,"title":8,"description":8,"body":19908,"_type":195,"_id":19912,"_source":197,"_file":19913,"_stem":19914,"_extension":200,"sitemap":19915},"/blog",{"type":17,"children":19909,"toc":19910},[],{"title":8,"searchDepth":193,"depth":193,"links":19911},[],"content:blog:index.md","blog/index.md","blog/index",{"loc":19907},{"_path":19917,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":19918,"description":19919,"publishDate":19920,"author":3094,"ogImage":19921,"image":19921,"tags":19922,"authorSlug":3099,"body":19923,"_type":195,"_id":20169,"_source":197,"_file":20170,"_stem":20171,"_extension":200,"sitemap":20172},"/blog/introducing-data-streams","Find and buy data quickly and easily. Introducing Data Streams.","Data Streams brings an e-commerce experience to the world of data, and makes buying data fast, transparent, and accessible.","2020-08-27 12:00:00","/img/blog/2020/08/introducing-data-streams.png",[4896],{"type":17,"children":19924,"toc":20154},[19925,19931,19936,19942,19947,19952,19965,19971,19976,19982,19987,19997,20003,20008,20016,20022,20033,20039,20044,20049,20055,20069,20075,20080,20088,20094,20107,20113,20118,20123,20146],{"type":20,"tag":223,"props":19926,"children":19928},{"id":19927},"data-streams-brings-an-e-commerce-experience-to-the-world-of-data",[19929],{"type":25,"value":19930},"Data Streams brings an e-commerce experience to the world of data",{"type":20,"tag":21,"props":19932,"children":19933},{},[19934],{"type":25,"value":19935},"Buying and selling data is difficult. But it doesn't have to be. At Narrative, we believe that buying and selling data should be fast, easy, and transparent.",{"type":20,"tag":1495,"props":19937,"children":19939},{"id":19938},"introducing-data-streams-data-transactions-reimagined",[19940],{"type":25,"value":19941},"Introducing Data Streams — Data transactions, reimagined",{"type":20,"tag":21,"props":19943,"children":19944},{},[19945],{"type":25,"value":19946},"Data Streams are pre-packaged data offerings that can be discovered, purchased, and delivered through simple e-commerce experience.",{"type":20,"tag":21,"props":19948,"children":19949},{},[19950],{"type":25,"value":19951},"With the release of Data Streams, we’re removing the barriers to entry for buyers and sellers. For data buyers, anyone can easily search for data, purchase it, and quickly move it into their business systems. Data sellers can easily make their data assets available to a broad community of buyers. Data Streams democratizes access to data.",{"type":20,"tag":21,"props":19953,"children":19954},{},[19955,19957,19963],{"type":25,"value":19956},"We think the best way to understand how Data Streams makes buying data faster and easier is to just ",{"type":20,"tag":44,"props":19958,"children":19960},{"href":4864,"rel":19959},[538],[19961],{"type":25,"value":19962},"try it out yourself",{"type":25,"value":19964},"—that's why we made it free and open to all. If you want to know why Data Streams makes buying data faster and easier, read on 👇",{"type":20,"tag":1495,"props":19966,"children":19968},{"id":19967},"inspired-by-e-commerce",[19969],{"type":25,"value":19970},"Inspired by e-commerce",{"type":20,"tag":21,"props":19972,"children":19973},{},[19974],{"type":25,"value":19975},"Search. Click. Pay. Ship. Receive. That’s the simplicity of a retailer-to-shopper online transaction. From cleaning supplies to clothes to cars, consumers can buy anything from anywhere. As a result, humans now also expect more assistive, intuitive, and creative experiences from the systems they use at work. In an effort to make Data Streams easy to use, we drew inspiration from the products that we buy and use each day as consumers.",{"type":20,"tag":1495,"props":19977,"children":19979},{"id":19978},"clear-pricing-and-forecasts",[19980],{"type":25,"value":19981},"Clear pricing and forecasts",{"type":20,"tag":21,"props":19983,"children":19984},{},[19985],{"type":25,"value":19986},"One of the most complex and inconsistent elements of buying and selling data is pricing and inventory availability. We knew it was important to make it clear to customers what they were buying, how much was available, and how much it would cost. Data Streams will provide that intuitive experience for customers so that they can easily make decisions about what data they want to buy.",{"type":20,"tag":21,"props":19988,"children":19989},{},[19990],{"type":20,"tag":33,"props":19991,"children":19992},{},[19993],{"type":20,"tag":1630,"props":19994,"children":19996},{"alt":8,"src":19995},"https://lh3.googleusercontent.com/Z5Idd5gFukWRcT1weLebTDgE6jmpe-ZT2fm1y_oBhrp9WwN_gFpXHFyaFlACryyJpLTHtzFV751th7dWbtQT7gvUp2whtPE2EOroacEVGRiKZnuVbNNXrtj8udrDjFCszGkXCV2a",[],{"type":20,"tag":1495,"props":19998,"children":20000},{"id":19999},"fast-and-simple-delivery",[20001],{"type":25,"value":20002},"Fast and simple delivery",{"type":20,"tag":21,"props":20004,"children":20005},{},[20006],{"type":25,"value":20007},"You shouldn’t have to be an engineer to get the data you need to do your job. With Data Streams, we made the delivery of data to buyers as simple as getting a package delivered to you from Amazon. At launch, Data Streams can be delivered to an Amazon S3 bucket or sent directly to Facebook Ads as a custom audience. Additional delivery endpoints will be available later this year.",{"type":20,"tag":21,"props":20009,"children":20010},{},[20011],{"type":20,"tag":1630,"props":20012,"children":20015},{"alt":20013,"src":20014},"screenshot of data stream delivery options","https://solutions.narrative.io/hubfs/screenshots/destinations-configuration.png",[],{"type":20,"tag":1495,"props":20017,"children":20019},{"id":20018},"accessibility-and-transparency",[20020],{"type":25,"value":20021},"Accessibility and transparency",{"type":20,"tag":21,"props":20023,"children":20024},{},[20025,20031],{"type":20,"tag":44,"props":20026,"children":20028},{"href":7980,"rel":20027},[538],[20029],{"type":25,"value":20030},"Transparency",{"type":25,"value":20032}," has always been at the core of Narrative’s belief system. We’ve continued that tradition in new and exciting ways with Data Streams. The platform is open to anyone that wants to use it. Accessibility is an important component to moving the data streaming market forward. By making Data Streams open and transparent to everyone, we can shine a light on what is actually happening.",{"type":20,"tag":1495,"props":20034,"children":20036},{"id":20035},"no-lengthy-set-up",[20037],{"type":25,"value":20038},"No lengthy set-up",{"type":20,"tag":21,"props":20040,"children":20041},{},[20042],{"type":25,"value":20043},"The majority of B2B systems require that users register, sign contracts, and complete a lengthy set-up process before they can start using them. We believe this process poses a barrier to entry, and can create the perception that the data transactions are being obfuscated. Getting started, searching, and completing Data Streams transactions does not require a length registration.",{"type":20,"tag":21,"props":20045,"children":20046},{},[20047],{"type":25,"value":20048},"Data is bought and sold every day, but it often happens in the online equivalent of a \"back room.\" We want businesses and consumers to have a better understanding of how the data economy works. Data Streams allows you to see up front who is selling data and what data they are selling.",{"type":20,"tag":1495,"props":20050,"children":20052},{"id":20051},"clear-data-definitions",[20053],{"type":25,"value":20054},"Clear data definitions",{"type":20,"tag":21,"props":20056,"children":20057},{},[20058,20060,20067],{"type":25,"value":20059},"At launch, ",{"type":20,"tag":44,"props":20061,"children":20064},{"href":20062,"rel":20063},"https://www.narrative.io/data-partners",[538],[20065],{"type":25,"value":20066},"Narrative’s data partners",{"type":25,"value":20068}," will be selling over half a million different Data Streams. Each of those streams have a clear definition so that buyers know exactly what they are getting. Historically, the business rules defining the composition of a data set have been completely opaque to customers. That opacity only benefits data brokers who are trying to hide something.",{"type":20,"tag":1495,"props":20070,"children":20072},{"id":20071},"data-supply-chain-transparency",[20073],{"type":25,"value":20074},"Data supply chain transparency",{"type":20,"tag":21,"props":20076,"children":20077},{},[20078],{"type":25,"value":20079},"Knowing what data is available is important, but so is understanding where it came from. It is important to us that both sides of the data economy don’t lose visibility into the market by working through Narrative. We offer a forum for buyers and sellers to transact data. There are no intermediaries on either side to obfuscate the actual source. Transparent sourcing of data will create credibility and sustainability for the data economy, ensuring that it is an industry that will thrive for years to come.",{"type":20,"tag":21,"props":20081,"children":20082},{},[20083],{"type":20,"tag":1630,"props":20084,"children":20087},{"alt":20085,"src":20086},"screenshot of data suppliers detail","https://solutions.narrative.io/hubfs/screenshots/data-suppliers-detail.png",[],{"type":20,"tag":1495,"props":20089,"children":20091},{"id":20090},"turn-key-revenue-for-suppliers",[20092],{"type":25,"value":20093},"Turn-key revenue for suppliers",{"type":20,"tag":21,"props":20095,"children":20096},{},[20097,20099,20105],{"type":25,"value":20098},"Data Streams provides a scaled, diverse, and active market for companies to monetize their data assets. ",{"type":20,"tag":44,"props":20100,"children":20102},{"href":15333,"rel":20101},[538],[20103],{"type":25,"value":20104},"Companies looking to monetize their first-party data",{"type":25,"value":20106}," can easily integrate their data into Data Streams with minimal effort and create a new revenue stream for their company.",{"type":20,"tag":1495,"props":20108,"children":20110},{"id":20109},"whats-next",[20111],{"type":25,"value":20112},"What’s next?",{"type":20,"tag":21,"props":20114,"children":20115},{},[20116],{"type":25,"value":20117},"This release is a major milestone for us at Narrative, but we’re just getting started.",{"type":20,"tag":21,"props":20119,"children":20120},{},[20121],{"type":25,"value":20122},"In the coming months we will:",{"type":20,"tag":903,"props":20124,"children":20125},{},[20126,20131,20136,20141],{"type":20,"tag":907,"props":20127,"children":20128},{},[20129],{"type":25,"value":20130},"Add additional data types to Data Streams",{"type":20,"tag":907,"props":20132,"children":20133},{},[20134],{"type":25,"value":20135},"Make it easier for sellers to create unique data offerings",{"type":20,"tag":907,"props":20137,"children":20138},{},[20139],{"type":25,"value":20140},"Release features that make it easier for consumers and companies to better understand the data and privacy landscape",{"type":20,"tag":907,"props":20142,"children":20143},{},[20144],{"type":25,"value":20145},"Much more",{"type":20,"tag":223,"props":20147,"children":20148},{"id":8},[20149],{"type":20,"tag":20150,"props":20151,"children":20153},"binding",{"value":20152},"cta('7cf1d330-ff50-48bf-af87-8c95b0fcadd2')",[],{"title":8,"searchDepth":193,"depth":193,"links":20155},[20156,20157,20158,20159,20160,20161,20162,20163,20164,20165,20166],{"id":19927,"depth":380,"text":19930},{"id":19938,"depth":193,"text":19941},{"id":19967,"depth":193,"text":19970},{"id":19978,"depth":193,"text":19981},{"id":19999,"depth":193,"text":20002},{"id":20018,"depth":193,"text":20021},{"id":20035,"depth":193,"text":20038},{"id":20051,"depth":193,"text":20054},{"id":20071,"depth":193,"text":20074},{"id":20090,"depth":193,"text":20093},{"id":20109,"depth":193,"text":20112,"children":20167},[20168],{"id":8,"depth":380,"text":8},"content:blog:introducing-data-streams.md","blog/introducing-data-streams.md","blog/introducing-data-streams",{"loc":19917},{"_path":20174,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":20175,"description":20176,"publishDate":20177,"author":3778,"ogImage":20178,"image":20178,"tags":20179,"body":20181,"_type":195,"_id":20237,"_source":197,"_file":20238,"_stem":20239,"_extension":200,"sitemap":20240},"/blog/introducing-facebook-connector","Introducing Facebook Connector","Buyers can now automatically create Custom Audiences in Facebook Ads Manager from data purchased with Narrative.","2022-08-30 17:11:27","/img/blog/2022/08/narrativeio-jobpost-01-6.png",[20180,4897],"announcement",{"type":17,"children":20182,"toc":20235},[20183,20189,20220,20225,20230],{"type":20,"tag":28,"props":20184,"children":20186},{"id":20185},"buyers-can-now-automatically-create-custom-audiences-in-facebook-ads-manager-from-data-purchased-with-narrative",[20187],{"type":25,"value":20188},"Buyers can now automatically create Custom Audiences in Facebook Ads Manager from data purchased with Narrative",{"type":20,"tag":21,"props":20190,"children":20191},{},[20192,20194,20201,20203,20209,20211,20218],{"type":25,"value":20193},"The ",{"type":20,"tag":44,"props":20195,"children":20198},{"href":20196,"rel":20197},"https://app.narrative.io/app/facebook-connector",[538],[20199],{"type":25,"value":20200},"Facebook Connector",{"type":25,"value":20202}," is now live as a ",{"type":20,"tag":44,"props":20204,"children":20206},{"href":20196,"rel":20205},[538],[20207],{"type":25,"value":20208},"brand new app",{"type":25,"value":20210},". This connector will serve as a new endpoint for users who want to push data to Facebook's Custom Ad Audience to target individuals from their Facebook seat. The app's high-level flow works very similarly to our ",{"type":20,"tag":44,"props":20212,"children":20215},{"href":20213,"rel":20214},"https://app.narrative.io/app/s3-connector",[538],[20216],{"type":25,"value":20217},"S3 connector",{"type":25,"value":20219},". Users can install the app, set up a profile as a specific destination, and then select that destination during checkout.",{"type":20,"tag":21,"props":20221,"children":20222},{},[20223],{"type":25,"value":20224},"Using Facebook Custom Audiences with Narrative simplifies the audience creation and uploading process. Users can automatically create Custom Audiences from data purchased through Narrative without having to download any large files to local storage. Users can then target that audience with ads, exclude them from campaigns, or generate lookalike audiences.",{"type":20,"tag":21,"props":20226,"children":20227},{},[20228],{"type":25,"value":20229},"To create a Custom Audience, simply provide Facebook with a list of email addresses or phone numbers and upload that list to the Audiences tab in Ads Manager. Facebook will then match that information with Facebook profiles so that you can push content and ads to your customers on Facebook, Instagram and their Audience Network.",{"type":20,"tag":21,"props":20231,"children":20232},{},[20233],{"type":25,"value":20234},"The Facebook Connector aligns with Narrative's high-level product theme of being the one-stop-shop for all things data commerce. In a future where there are 20 different connectors on our platform, users will only have to learn Narrative's ecosystem to solve all of their external use cases. Facebook marks the second connector on that journey.",{"title":8,"searchDepth":193,"depth":193,"links":20236},[],"content:blog:introducing-facebook-connector.md","blog/introducing-facebook-connector.md","blog/introducing-facebook-connector",{"loc":20174},{"_path":20242,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":20243,"description":20244,"publishDate":20245,"author":1436,"ogImage":20246,"image":20246,"tags":20247,"authorSlug":1437,"body":20248,"_type":195,"_id":20355,"_source":197,"_file":20356,"_stem":20357,"_extension":200,"sitemap":20358},"/blog/introducing-nql-narrative-query-language","Introducing NQL: A Powerful Query Language for the Narrative Data Collaboration Platform","As businesses grapple with intricate data-driven demands, NQL emerges as the solution for data interoperability and standardization.","2023-10-24 23:04:28","/img/blog/2023/10/nql.png",[10661,1262,10662,1263,1264],{"type":17,"children":20249,"toc":20347},[20250,20255,20261,20266,20272,20277,20281,20286,20290,20295,20299,20304,20308,20313,20336,20340],{"type":20,"tag":21,"props":20251,"children":20252},{},[20253],{"type":25,"value":20254},"We're thrilled to introduce the Narrative Query Language (NQL)—a groundbreaking SQL interface that transforms your data experience on the Narrative Platform. Combined with our Rosetta Stone Attribute Catalog, NQL lets you query shareable or purchasable data from across the entire ecosystem as if it's all housed in your own database. Say goodbye to data silos and hello to limitless insights!",{"type":20,"tag":223,"props":20256,"children":20258},{"id":20257},"what-is-nql",[20259],{"type":25,"value":20260},"What is NQL?",{"type":20,"tag":21,"props":20262,"children":20263},{},[20264],{"type":25,"value":20265},"NQL is designed to work seamlessly with the existing architecture of the Narrative Data Collaboration Platform. It allows you to query data in a streamlined and intuitive manner, empowering both seasoned data scientists and SQL newcomers to derive meaningful insights from their data and the marketplace of datasets with ease.",{"type":20,"tag":223,"props":20267,"children":20269},{"id":20268},"rosetta-stone-attribute-catalog",[20270],{"type":25,"value":20271},"Rosetta Stone Attribute Catalog",{"type":20,"tag":21,"props":20273,"children":20274},{},[20275],{"type":25,"value":20276},"One of NQL's standout features is its integration with the Rosetta Stone global attribute catalog. This catalog serves as a central repository for normalized data attributes, aggregated from multiple sources across any company on the platform that has set up an Access Rule. Whether you're querying data from your own company or another that has granted you access, the Rosetta Stone catalog simplifies your data querying process.",{"type":20,"tag":223,"props":20278,"children":20279},{"id":10790},[20280],{"type":25,"value":10793},{"type":20,"tag":21,"props":20282,"children":20283},{},[20284],{"type":25,"value":20285},"Different data sources often label things differently. For example, one might use 'M' or 'F' to indicate gender, while another uses true/false values. Rosetta Stone's universal translator makes sure everyone's speaking the same language, so you don't have to worry about it.",{"type":20,"tag":223,"props":20287,"children":20288},{"id":10672},[20289],{"type":25,"value":10675},{"type":20,"tag":21,"props":20291,"children":20292},{},[20293],{"type":25,"value":20294},"Narrative's Rosetta Stone Attribute technology are what really sets NQL apart. Imagine querying data from multiple organizations as if it all lives in your own table, normalized and ready for analysis. No need to juggle different formats or schemas. Rosetta Stone Attributes make it seamless.",{"type":20,"tag":223,"props":20296,"children":20297},{"id":10727},[20298],{"type":25,"value":10730},{"type":20,"tag":21,"props":20300,"children":20301},{},[20302],{"type":25,"value":20303},"To showcase the power of NQL, let's execute a query that filters data sourced from multiple suppliers on the platform based on gender and a specific event timestamp, while also considering cost control.",{"type":20,"tag":223,"props":20305,"children":20306},{"id":10751},[20307],{"type":25,"value":10754},{"type":20,"tag":21,"props":20309,"children":20310},{},[20311],{"type":25,"value":20312},"Rosetta offers a plethora of benefits. Here are several that stand out:",{"type":20,"tag":2051,"props":20314,"children":20315},{},[20316,20320,20324,20328,20332],{"type":20,"tag":907,"props":20317,"children":20318},{},[20319],{"type":25,"value":10762},{"type":20,"tag":907,"props":20321,"children":20322},{},[20323],{"type":25,"value":10767},{"type":20,"tag":907,"props":20325,"children":20326},{},[20327],{"type":25,"value":10772},{"type":20,"tag":907,"props":20329,"children":20330},{},[20331],{"type":25,"value":10777},{"type":20,"tag":907,"props":20333,"children":20334},{},[20335],{"type":25,"value":10782},{"type":20,"tag":21,"props":20337,"children":20338},{},[20339],{"type":25,"value":10787},{"type":20,"tag":21,"props":20341,"children":20342},{},[20343],{"type":20,"tag":44,"props":20344,"children":20345},{"href":180},[20346],{"type":25,"value":10983},{"title":8,"searchDepth":193,"depth":193,"links":20348},[20349,20350,20351,20352,20353,20354],{"id":20257,"depth":380,"text":20260},{"id":20268,"depth":380,"text":20271},{"id":10790,"depth":380,"text":10793},{"id":10672,"depth":380,"text":10675},{"id":10727,"depth":380,"text":10730},{"id":10751,"depth":380,"text":10754},"content:blog:introducing-nql-narrative-query-language.md","blog/introducing-nql-narrative-query-language.md","blog/introducing-nql-narrative-query-language",{"loc":20242},{"_path":20360,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":20361,"description":20362,"publishDate":20363,"author":1927,"ogImage":20364,"image":20364,"tags":20365,"authorSlug":1932,"body":20366,"_type":195,"_id":20627,"_source":197,"_file":20628,"_stem":20629,"_extension":200,"sitemap":20630},"/blog/introducing-rosetta-narratives-groundbreaking-ai-powered-data-collaboration-assistant","Meet Rosetta: Narrative's AI-Powered Data Collaboration Assistant","Narrative's latest, much-anticipated product release - the AI-enabled chat assistant, Rosetta - is poised to revolutionize the realm of data collaboration.","2023-06-21 16:00:00","/img/blog/2023/06/meet-Rosetta-PREVIEW.png",[10661,1262,1263],{"type":17,"children":20367,"toc":20619},[20368,20373,20382,20396,20405,20410,20443,20452,20457,20510,20519,20524,20567,20576,20581,20588,20593,20598,20603,20612],{"type":20,"tag":21,"props":20369,"children":20370},{},[20371],{"type":25,"value":20372},"In an era marked by the explosive growth of data, deciphering and utilizing this wealth of information can seem like cracking an ancient language. Narrative's latest, much-anticipated product release - the AI-enabled chat assistant, Rosetta - is poised to simplify this task and revolutionize the realm of data collaboration.",{"type":20,"tag":223,"props":20374,"children":20376},{"id":20375},"why-rosetta-revolutionizes-data-collaboration",[20377],{"type":20,"tag":33,"props":20378,"children":20379},{},[20380],{"type":25,"value":20381},"Why Rosetta Revolutionizes Data Collaboration",{"type":20,"tag":21,"props":20383,"children":20384},{},[20385,20387,20394],{"type":25,"value":20386},"Rosetta is more than just a product. It's a technological milestone that demonstrates how artificial intelligence can redefine the boundaries of data collaboration. In the vast, interwoven landscape of data exchange, every participant articulates their data needs uniquely. ",{"type":20,"tag":44,"props":20388,"children":20391},{"href":20389,"rel":20390},"https://rosetta.st/",[538],[20392],{"type":25,"value":20393},"Rosetta",{"type":25,"value":20395},", through the power of natural language processing, interprets these diverse needs, unifying the language of data. It’s like having a skilled interpreter capable of translating your specific data requirements into actionable strategies.",{"type":20,"tag":223,"props":20397,"children":20399},{"id":20398},"key-benefits-of-rosetta",[20400],{"type":20,"tag":33,"props":20401,"children":20402},{},[20403],{"type":25,"value":20404},"Key Benefits of Rosetta",{"type":20,"tag":21,"props":20406,"children":20407},{},[20408],{"type":25,"value":20409},"Rosetta offers a plethora of benefits. Here are three that stand out:",{"type":20,"tag":2051,"props":20411,"children":20412},{},[20413,20423,20433],{"type":20,"tag":907,"props":20414,"children":20415},{},[20416,20421],{"type":20,"tag":33,"props":20417,"children":20418},{},[20419],{"type":25,"value":20420},"Universal Data Querying:",{"type":25,"value":20422}," Users can employ plain English to explore the extensive data available across all providers on Narrative's platform. This means data discovery becomes simpler and more intuitive than ever before.",{"type":20,"tag":907,"props":20424,"children":20425},{},[20426,20431],{"type":20,"tag":33,"props":20427,"children":20428},{},[20429],{"type":25,"value":20430},"Predictive Analytics:",{"type":25,"value":20432}," Rosetta only scans relevant schemas and data types to forecast the amount of data a user will need for a specific use case, aiding in cost and resource efficiency.",{"type":20,"tag":907,"props":20434,"children":20435},{},[20436,20441],{"type":20,"tag":33,"props":20437,"children":20438},{},[20439],{"type":25,"value":20440},"Automated Data Purchasing:",{"type":25,"value":20442}," Through Rosetta, customers can acquire the necessary data automatically. This ease of purchase expedites the data procurement process, allowing businesses to focus more on analysis and implementation.",{"type":20,"tag":223,"props":20444,"children":20446},{"id":20445},"roles-that-benefit-from-rosetta",[20447],{"type":20,"tag":33,"props":20448,"children":20449},{},[20450],{"type":25,"value":20451},"Roles That Benefit from Rosetta",{"type":20,"tag":21,"props":20453,"children":20454},{},[20455],{"type":25,"value":20456},"Rosetta is a game-changer that democratizes data, making it accessible and actionable for every member of the organization. You don't need to be a technical expert to tap into the wealth of insights data can offer, thereby fostering a truly data-driven culture within the organization. As a no-code tool, it breaks down barriers, enabling individuals in a wide range of roles to leverage data effectively and promptly:",{"type":20,"tag":2051,"props":20458,"children":20459},{},[20460,20470,20480,20490,20500],{"type":20,"tag":907,"props":20461,"children":20462},{},[20463,20468],{"type":20,"tag":33,"props":20464,"children":20465},{},[20466],{"type":25,"value":20467},"Data Analysts:",{"type":25,"value":20469}," Despite their comfort with code, data analysts can reap the benefits of the no-code feature as it enables quicker data querying and purchasing. This increased efficiency allows them to dedicate more time to the critical task of deriving insights.",{"type":20,"tag":907,"props":20471,"children":20472},{},[20473,20478],{"type":20,"tag":33,"props":20474,"children":20475},{},[20476],{"type":25,"value":20477},"Marketing Managers:",{"type":25,"value":20479}," Rosetta’s no-code functionality allows marketing teams to directly access and use the data they need without waiting for IT support. They can leverage these insights to effectively target campaigns and measure their success, improving the speed and precision of decision-making.",{"type":20,"tag":907,"props":20481,"children":20482},{},[20483,20488],{"type":20,"tag":33,"props":20484,"children":20485},{},[20486],{"type":25,"value":20487},"Sales Teams:",{"type":25,"value":20489}," Sales professionals, who often have limited coding knowledge, can now delve into data without any technical hindrances. Access to proprietary data provides unique insights into customer behavior and market trends, which can drive successful sales strategies.",{"type":20,"tag":907,"props":20491,"children":20492},{},[20493,20498],{"type":20,"tag":33,"props":20494,"children":20495},{},[20496],{"type":25,"value":20497},"Product Managers:",{"type":25,"value":20499}," No longer reliant on data teams for their insights, product managers can directly explore customer data to understand user needs and craft superior strategies, accelerating the product development cycle.",{"type":20,"tag":907,"props":20501,"children":20502},{},[20503,20508],{"type":20,"tag":33,"props":20504,"children":20505},{},[20506],{"type":25,"value":20507},"C-Level Executives:",{"type":25,"value":20509}," For decision-makers, Rosetta offers a simple, direct line to data. They can obtain a concise, comprehensive view of relevant data in real-time, empowering them to make informed strategic decisions quickly and confidently.",{"type":20,"tag":223,"props":20511,"children":20513},{"id":20512},"rosetta-across-different-industries",[20514],{"type":20,"tag":33,"props":20515,"children":20516},{},[20517],{"type":25,"value":20518},"Rosetta Across Different Industries",{"type":20,"tag":21,"props":20520,"children":20521},{},[20522],{"type":25,"value":20523},"The fusion of data from various industries through Rosetta can create a powerful synergy, opening new doors for cross-industry collaboration and innovation. By transcending the boundaries of traditional data silos, organizations can uncover the kind of holistic insights that drive game-changing decisions and strategies.",{"type":20,"tag":903,"props":20525,"children":20526},{},[20527,20537,20547,20557],{"type":20,"tag":907,"props":20528,"children":20529},{},[20530,20535],{"type":20,"tag":33,"props":20531,"children":20532},{},[20533],{"type":25,"value":20534},"Healthcare:",{"type":25,"value":20536}," Beyond aiding in patient data analysis, predictive modeling for disease outbreaks, or researching treatment efficacy, Rosetta can combine healthcare data with information from other sectors. For example, integrating environmental data or lifestyle data can help develop a more holistic view of patient health trends.",{"type":20,"tag":907,"props":20538,"children":20539},{},[20540,20545],{"type":20,"tag":33,"props":20541,"children":20542},{},[20543],{"type":25,"value":20544},"Finance:",{"type":25,"value":20546}," While Rosetta can assist in risk assessment, fraud detection, and investment analysis, the combination of financial data with information from other sectors can reveal unexpected insights. By examining correlations between financial trends and data from industries such as retail or technology, analysts can gain a richer understanding of market dynamics.",{"type":20,"tag":907,"props":20548,"children":20549},{},[20550,20555],{"type":20,"tag":33,"props":20551,"children":20552},{},[20553],{"type":25,"value":20554},"Retail:",{"type":25,"value":20556}," With Rosetta, retail can benefit from improved customer segmentation, demand forecasting, and supply chain optimization. Moreover, combining retail data with social media trends, weather data, or macroeconomic indicators can enable more accurate predictions of consumer behavior.",{"type":20,"tag":907,"props":20558,"children":20559},{},[20560,20565],{"type":20,"tag":33,"props":20561,"children":20562},{},[20563],{"type":25,"value":20564},"Education:",{"type":25,"value":20566}," Beyond contributing to student performance tracking, curriculum development, and resource allocation, Rosetta can allow educational institutions to combine their data with demographic or socio-economic data. This can offer a more nuanced understanding of the external factors impacting student performance and can inform more effective educational strategies.",{"type":20,"tag":223,"props":20568,"children":20570},{"id":20569},"streamlining-internal-data-collaboration",[20571],{"type":20,"tag":33,"props":20572,"children":20573},{},[20574],{"type":25,"value":20575},"Streamlining Internal Data Collaboration",{"type":20,"tag":21,"props":20577,"children":20578},{},[20579],{"type":25,"value":20580},"Rosetta doesn't just aid in external data collaborations; it's also a game-changer for internal data exchange. By automating data standardization, Rosetta can remove the hurdles of data inconsistency, making interdepartmental communication seamless. This paves the way for a truly data-driven organization, where all units are aligned and informed, driving a unified strategy with a clear understanding of their data.",{"type":20,"tag":223,"props":20582,"children":20583},{"id":1400},[20584],{"type":20,"tag":33,"props":20585,"children":20586},{},[20587],{"type":25,"value":1403},{"type":20,"tag":21,"props":20589,"children":20590},{},[20591],{"type":25,"value":20592},"Rosetta marks the dawn of a new era in data collaboration. It's more than an AI-powered assistant—it's a transformative tool that opens a gateway to the world’s largest source of standardized, proprietary data. Regardless of your role or your industry, Rosetta is ready to unlock the full potential of your data, transforming the way you discover, analyze, and apply data.",{"type":20,"tag":21,"props":20594,"children":20595},{},[20596],{"type":25,"value":20597},"Its no-code approach democratizes access to data, enabling anyone in an organization to use data effectively, ushering in unprecedented opportunities for innovation and growth. By breaking down barriers to data access, Rosetta empowers every member of your team to make data-driven decisions, fostering a truly data-centric organizational culture.",{"type":20,"tag":21,"props":20599,"children":20600},{},[20601],{"type":25,"value":20602},"With Rosetta, Narrative redefines the boundaries of data collaboration, setting new standards for accessibility, efficiency, and simplicity. Whether you're a data analyst or a CEO in finance or healthcare, Rosetta is equipped to meet your data needs, offering a seamless, intuitive, and empowering data experience. Experience the Rosetta revolution today, and redefine the way your organization collaborates with data.",{"type":20,"tag":21,"props":20604,"children":20605},{},[20606],{"type":20,"tag":44,"props":20607,"children":20609},{"href":20389,"rel":20608},[538],[20610],{"type":25,"value":20611},"Try Rosetta now.",{"type":20,"tag":21,"props":20613,"children":20614},{},[20615],{"type":20,"tag":44,"props":20616,"children":20617},{"href":180},[20618],{"type":25,"value":10983},{"title":8,"searchDepth":193,"depth":193,"links":20620},[20621,20622,20623,20624,20625,20626],{"id":20375,"depth":380,"text":20381},{"id":20398,"depth":380,"text":20404},{"id":20445,"depth":380,"text":20451},{"id":20512,"depth":380,"text":20518},{"id":20569,"depth":380,"text":20575},{"id":1400,"depth":380,"text":1403},"content:blog:introducing-rosetta-narratives-groundbreaking-ai-powered-data-collaboration-assistant.md","blog/introducing-rosetta-narratives-groundbreaking-ai-powered-data-collaboration-assistant.md","blog/introducing-rosetta-narratives-groundbreaking-ai-powered-data-collaboration-assistant",{"loc":20360},{"_path":8296,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":20632,"description":20633,"publishDate":20634,"author":20635,"ogImage":20636,"image":20636,"tags":20637,"body":20638,"_type":195,"_id":20851,"_source":197,"_file":20852,"_stem":20853,"_extension":200,"sitemap":20854},"Kill the Data Bake Off","The data acquisition and monetization space is in need of a fresh, creative approach to replace an outmoded process. The first step is to kill the data bake off and replace it to the benefit of both buyers and sellers.","2017-05-09 04:58:00","Madeline Power","/img/blog/2017/05/kill-the-data-bake-off.png",[4365,610],{"type":17,"children":20639,"toc":20840},[20640,20646,20651,20657,20662,20668,20673,20679,20684,20702,20707,20713,20718,20723,20729,20734,20739,20744,20750,20755,20760,20778,20783,20789,20794,20807,20812,20818,20823,20828],{"type":20,"tag":223,"props":20641,"children":20643},{"id":20642},"a-modern-data-acquisition-technology-stack-allows-you-to-maximize-your-data-enrichment-capabilities",[20644],{"type":25,"value":20645},"A modern data acquisition technology stack allows you to maximize your data enrichment capabilities",{"type":20,"tag":21,"props":20647,"children":20648},{},[20649],{"type":25,"value":20650},"The process that companies go through to select a data partner is flawed. The data bake off benefits neither buyers nor sellers, but instead promotes an “all or nothing” mentality that doesn’t make sense in a data ecosystem where scale is king. The data acquisition and monetization space is in need of a fresh, creative approach to replace an outmoded process. The first step is to kill the data bake off and replace it to the benefit of both buyers and sellers.",{"type":20,"tag":223,"props":20652,"children":20654},{"id":20653},"what-is-a-data-bake-off",[20655],{"type":25,"value":20656},"What is a data bake off?",{"type":20,"tag":21,"props":20658,"children":20659},{},[20660],{"type":25,"value":20661},"Companies that need access to raw data typically choose one data seller to buy data from. The process by which they select this partner is known as a data bake off. Selecting a single partner from a group of sellers involves comparing results for accuracy, match rate, overlap and scale. Sellers ship their data off to be tested, hoping that it performs well against the buyer’s metrics.",{"type":20,"tag":223,"props":20663,"children":20665},{"id":20664},"bake-offs-are-a-big-deal",[20666],{"type":25,"value":20667},"Bake offs are a big deal",{"type":20,"tag":21,"props":20669,"children":20670},{},[20671],{"type":25,"value":20672},"At my previous company, we participated as sellers in several bake offs. We dedicated entire sprints to creating custom features in the hope we’d win. The sales team went into overdrive in their efforts to win each bake off. After such a mammoth effort, you’d think it would pay off even in some small way. The reality was, if you lost, you were left with nothing to show for it.",{"type":20,"tag":223,"props":20674,"children":20676},{"id":20675},"the-need-for-bake-offs",[20677],{"type":25,"value":20678},"The need for bake offs",{"type":20,"tag":21,"props":20680,"children":20681},{},[20682],{"type":25,"value":20683},"Data acquisition is a complicated process, and data buyers use bake offs for a few reasons:",{"type":20,"tag":903,"props":20685,"children":20686},{},[20687,20692,20697],{"type":20,"tag":907,"props":20688,"children":20689},{},[20690],{"type":25,"value":20691},"Contracts are a time-consuming hassle that require involvement from legal and business development leads",{"type":20,"tag":907,"props":20693,"children":20694},{},[20695],{"type":25,"value":20696},"Optimizing a data portfolio across multiple supply sources is complicated by problems such as duplication and data that doesn’t provide signal",{"type":20,"tag":907,"props":20698,"children":20699},{},[20700],{"type":25,"value":20701},"Integrating each data set is a time suck for both product and engineering, taking away from time spent completing more valuable roadmap work",{"type":20,"tag":21,"props":20703,"children":20704},{},[20705],{"type":25,"value":20706},"In theory, a bake off lets the data buyer save time and money by selecting a partner from all the bake-off participants. They’d “make do” with the data the selected partner provided. The other three or four data providers lose access to any revenue opportunity, leaving some of the smaller players with great data behind with nothing",{"type":20,"tag":223,"props":20708,"children":20710},{"id":20709},"bake-off-problems-for-buyers",[20711],{"type":25,"value":20712},"Bake off problems for buyers",{"type":20,"tag":21,"props":20714,"children":20715},{},[20716],{"type":25,"value":20717},"This isn’t how data acquisition should work for buyers. Why should they have to sacrifice any part of their data strategy goals because the acquisition process is so taxing? When you’re buying data, you should get all the data that’s relevant to you regardless of how many places it comes from.",{"type":20,"tag":21,"props":20719,"children":20720},{},[20721],{"type":25,"value":20722},"The ideal situation would be for data buyers to easily obtain standard/normalized raw data from everyone. After all, the data that’s most relevant to their needs may come from more than one seller. This would alleviate the problem of buying data that doesn’t provide signal just because it’s in the firehose. Being able to get pieces of data in a standard format also eliminates the time-consuming integration process that’s different for every seller.",{"type":20,"tag":223,"props":20724,"children":20726},{"id":20725},"bake-off-problems-forsellers",[20727],{"type":25,"value":20728},"Bake off problems for sellers",{"type":20,"tag":21,"props":20730,"children":20731},{},[20732],{"type":25,"value":20733},"Sellers often ask us, “Who are we up against?” I would argue that they are asking the wrong question. What they should be asking is, “How well does my data match the buyer’s needs?”",{"type":20,"tag":21,"props":20735,"children":20736},{},[20737],{"type":25,"value":20738},"By killing the data bake-off, a data commerce platform changes how sellers think about winning or losing deals. Now instead of focusing on their competitors, they can focus on the value that they are delivering to the buyers.",{"type":20,"tag":21,"props":20740,"children":20741},{},[20742],{"type":25,"value":20743},"Separately, the dichotomy of winners and losers that these bake offs create isn’t healthy for the ecosystem. Competition is a prerequisite for any efficient market — in the long run, the bake off actually discourages competition by creating a winner-takes-all effect. There’s a better way to do this that will help buyers and sellers both win.",{"type":20,"tag":223,"props":20745,"children":20747},{"id":20746},"how-to-kill-the-data-bake-off",[20748],{"type":25,"value":20749},"How to kill the data bake off",{"type":20,"tag":21,"props":20751,"children":20752},{},[20753],{"type":25,"value":20754},"A data collaboration platform allows buyers to select the data they need from a variety of sellers.",{"type":20,"tag":21,"props":20756,"children":20757},{},[20758],{"type":25,"value":20759},"Here’s how it works:",{"type":20,"tag":903,"props":20761,"children":20762},{},[20763,20768,20773],{"type":20,"tag":907,"props":20764,"children":20765},{},[20766],{"type":25,"value":20767},"The hassle of striking a contract with each seller is now easier because you only need paperwork with the data collaboration platform.",{"type":20,"tag":907,"props":20769,"children":20770},{},[20771],{"type":25,"value":20772},"You can acquire data on a per record or per event basis — no need to make the huge investment of buying the firehose from everyone.",{"type":20,"tag":907,"props":20774,"children":20775},{},[20776],{"type":25,"value":20777},"You can do one integration and have access to everyone on the platform.",{"type":20,"tag":21,"props":20779,"children":20780},{},[20781],{"type":25,"value":20782},"Just as buyers have greater opportunity with the platform, sellers have new and easier revenue opportunities available to them under this model. The data collaboration platform gives sellers the opportunity to sell data to a large pool of buyers that may only want some of their data.",{"type":20,"tag":223,"props":20784,"children":20786},{"id":20785},"data-economy-20",[20787],{"type":25,"value":20788},"Data Economy 2.0",{"type":20,"tag":21,"props":20790,"children":20791},{},[20792],{"type":25,"value":20793},"Many of the approaches to buying and selling data don’t work well for the data owners or the data consumers. Data bake offs are one example among many that no longer make sense for buyers or sellers.",{"type":20,"tag":7566,"props":20795,"children":20796},{},[20797],{"type":20,"tag":21,"props":20798,"children":20799},{},[20800,20802,20805],{"type":25,"value":20801},"“There’s a way to do it better — find it.”",{"type":20,"tag":2006,"props":20803,"children":20804},{},[],{"type":25,"value":20806},"\n— Thomas Edison",{"type":20,"tag":21,"props":20808,"children":20809},{},[20810],{"type":25,"value":20811},"The data acquisition process is long overdue for a more modern, nuanced approach. If data is democratized through a data collaboration platform, buyers can get all the data they need and sellers have access to more revenue-producing opportunities for their data.",{"type":20,"tag":223,"props":20813,"children":20815},{"id":20814},"go-beyond-the-bake-off",[20816],{"type":25,"value":20817},"Go beyond the bake off",{"type":20,"tag":21,"props":20819,"children":20820},{},[20821],{"type":25,"value":20822},"Do today’s methods of transacting data actually work for you?",{"type":20,"tag":21,"props":20824,"children":20825},{},[20826],{"type":25,"value":20827},"Think creatively about how you can approach data acquisition to get away from the win or lose, all-or-nothing approaches that dominate the market. There’s a way to get the data assets you need without having to walk away from valuable, useful data that can help you achieve your goals. Don’t let the status quo dictate future data acquisition and monetization efforts.",{"type":20,"tag":21,"props":20829,"children":20830},{},[20831],{"type":20,"tag":33,"props":20832,"children":20833},{},[20834,20836],{"type":25,"value":20835},"Are you ready for a better way to buy and sell data? ",{"type":20,"tag":44,"props":20837,"children":20838},{"href":180},[20839],{"type":25,"value":8578},{"title":8,"searchDepth":193,"depth":193,"links":20841},[20842,20843,20844,20845,20846,20847,20848,20849,20850],{"id":20642,"depth":380,"text":20645},{"id":20653,"depth":380,"text":20656},{"id":20664,"depth":380,"text":20667},{"id":20675,"depth":380,"text":20678},{"id":20709,"depth":380,"text":20712},{"id":20725,"depth":380,"text":20728},{"id":20746,"depth":380,"text":20749},{"id":20785,"depth":380,"text":20788},{"id":20814,"depth":380,"text":20817},"content:blog:kill-the-data-bake-off.md","blog/kill-the-data-bake-off.md","blog/kill-the-data-bake-off",{"loc":8296},{"_path":20856,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":20857,"description":20858,"publishDate":20859,"author":1259,"ogImage":20860,"image":20860,"tags":20861,"authorSlug":1265,"body":20862,"_type":195,"_id":20995,"_source":197,"_file":20996,"_stem":20997,"_extension":200,"sitemap":20998},"/blog/manufacturing-reimagined-with-data-interoperability","Manufacturing Reimagined: The Unstoppable Force of Data Interoperability","Imagine a world where data from different stages of the manufacturing process can seamlessly interact and inform decisions.","2023-12-12 14:58:20","/img/blog/2023/12/manufacturing-blog.png",[1262,1263,10585,1264],{"type":17,"children":20863,"toc":20987},[20864,20869,20875,20880,20886,20891,20897,20902,20907,20912,20917,20922,20928,20933,20939,20944,20949,20954,20959,20964,20970,20975,20980],{"type":20,"tag":21,"props":20865,"children":20866},{},[20867],{"type":25,"value":20868},"The race to stay ahead of the curve is never-ending in the fast-paced manufacturing world. Amidst this high-stakes game, a silent revolution is underway – one that hinges on the transformative power of data interoperability and collaboration platforms. These platforms are not just tools but catalysts for an industry-wide metamorphosis.",{"type":20,"tag":223,"props":20870,"children":20872},{"id":20871},"the-manufacturing-challenge-complexity-and-scale",[20873],{"type":25,"value":20874},"The Manufacturing Challenge: Complexity and Scale",{"type":20,"tag":21,"props":20876,"children":20877},{},[20878],{"type":25,"value":20879},"The manufacturing sector faces unique challenges due to its intricate supply chains and extensive operational demands. From sourcing raw materials to managing production lines and from quality control to distribution logistics, each step is a complex puzzle. The key to solving this puzzle? Data – the lifeblood of modern manufacturing.",{"type":20,"tag":223,"props":20881,"children":20883},{"id":20882},"the-data-collaboration-and-interoperability-edge",[20884],{"type":25,"value":20885},"The Data Collaboration and Interoperability Edge",{"type":20,"tag":21,"props":20887,"children":20888},{},[20889],{"type":25,"value":20890},"Imagine a world where data from different stages of the manufacturing process, each speaking a different 'language,' can seamlessly interact and inform decisions. This is where data collaboration platforms shine. They enable disparate data systems to 'talk' to each other, creating a unified, actionable data ecosystem.",{"type":20,"tag":223,"props":20892,"children":20894},{"id":20893},"a-hypothetical-use-case-smart-manufacturing",[20895],{"type":25,"value":20896},"A Hypothetical Use Case: Smart Manufacturing",{"type":20,"tag":21,"props":20898,"children":20899},{},[20900],{"type":25,"value":20901},"Consider a hypothetical scenario in a smart manufacturing plant. The plant sources raw materials globally, and each supplier uses different systems to track quality, quantity, and logistics. By implementing a data collaboration platform, the plant can:",{"type":20,"tag":21,"props":20903,"children":20904},{},[20905],{"type":25,"value":20906},"Aggregate Data Across Suppliers: Seamlessly integrate data from various global suppliers, regardless of their data formats or systems.",{"type":20,"tag":21,"props":20908,"children":20909},{},[20910],{"type":25,"value":20911},"Real-Time Quality Control: Analyze quality control data in real-time, identifying potential issues before they affect production.",{"type":20,"tag":21,"props":20913,"children":20914},{},[20915],{"type":25,"value":20916},"Optimize Supply Chain: Use predictive analytics to foresee and mitigate supply chain disruptions.",{"type":20,"tag":21,"props":20918,"children":20919},{},[20920],{"type":25,"value":20921},"Enhance Customer Satisfaction: Align production with real-time market demand, improving product availability and customer satisfaction.",{"type":20,"tag":223,"props":20923,"children":20925},{"id":20924},"the-narrative-difference",[20926],{"type":25,"value":20927},"The Narrative Difference",{"type":20,"tag":21,"props":20929,"children":20930},{},[20931],{"type":25,"value":20932},"Narrative, an AI-driven, privacy-centric Data Collaboration Platform, exemplifies the potential of such technology in manufacturing. 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Narrative is at the forefront of this change, guiding manufacturers towards a future where data empowers, rather than encumbers, their journey to excellence.",{"type":20,"tag":21,"props":20981,"children":20982},{},[20983],{"type":20,"tag":44,"props":20984,"children":20985},{"href":180},[20986],{"type":25,"value":10638},{"title":8,"searchDepth":193,"depth":193,"links":20988},[20989,20990,20991,20992,20993,20994],{"id":20871,"depth":380,"text":20874},{"id":20882,"depth":380,"text":20885},{"id":20893,"depth":380,"text":20896},{"id":20924,"depth":380,"text":20927},{"id":20935,"depth":380,"text":20938},{"id":20966,"depth":380,"text":20969},"content:blog:manufacturing-reimagined-with-data-interoperability.md","blog/manufacturing-reimagined-with-data-interoperability.md","blog/manufacturing-reimagined-with-data-interoperability",{"loc":20856},{"_path":21000,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":21001,"description":21002,"publishDate":21003,"author":21004,"ogImage":21005,"image":21005,"tags":21006,"status":14807,"body":21007,"_type":195,"_id":21043,"_source":197,"_file":21044,"_stem":21045,"_extension":200,"sitemap":21046},"/blog/meet-narrative-at-mgs2019","Meet Narrative @ Mobile Growth Summit SF 2019","Meet up with Narrative at the 2019 Mobile Growth Summit in San Francisco, California.","2019-01-29 13:27:00","Eric Del Balso","/img/blog/2019/01/020719-1_mobile_growth_summit.jpg",[11006],{"type":17,"children":21008,"toc":21040},[21009,21015,21027,21032],{"type":20,"tag":223,"props":21010,"children":21012},{"id":21011},"meet-with-the-team-to-catch-up-on-the-latest-with-data-enrichment-for-your-mobile-growth-objectives",[21013],{"type":25,"value":21014},"Meet with the team to catch up on the latest with data enrichment for your mobile growth objectives",{"type":20,"tag":21,"props":21016,"children":21017},{},[21018,21025],{"type":20,"tag":44,"props":21019,"children":21023},{"href":21020,"rel":21021,"title":21022},"https://mobilegrowthsummit.com/",[538],"Mobile Growth Summit",[21024],{"type":25,"value":21022},{"type":25,"value":21026}," has become the premier event for mobile growth marketers and their event February 13th and 14th in San Francisco promises to bring industry leaders together for thoughtful discussions on the state of the industry.",{"type":20,"tag":21,"props":21028,"children":21029},{},[21030],{"type":25,"value":21031},"Narrative will be attending, our first time ever, and we’re excited to hear from all of the thought leaders that will be present. 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","2019-02-12 13:21:00","/img/blog/2019/02/021119_rampup.jpg",[11006],{"type":17,"children":21055,"toc":21115},[21056,21062,21067,21072,21077,21105],{"type":20,"tag":223,"props":21057,"children":21059},{"id":21058},"let-our-data-acquisition-and-data-monetization-experts-help-you-reevaluate-your-data-strategy",[21060],{"type":25,"value":21061},"Let our data acquisition and data monetization experts help you reevaluate your data strategy",{"type":20,"tag":21,"props":21063,"children":21064},{},[21065],{"type":25,"value":21066},"On February 25th nearly 2500 data professionals will descend on the Fairmont in San Francisco for LiveRamp’s annual RampUp conference. 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Fewer signals mean worse performance and less confidence in the numbers.",{"type":20,"tag":21,"props":21167,"children":21168},{},[21169],{"type":25,"value":21170},"The Meta Conversions API was designed to solve this, but building a direct CAPI integration requires meaningful engineering work: formatting events to Meta's schema, hashing PII, handling batching, managing deduplication, and maintaining the integration as Meta's API evolves. Most teams either live with incomplete measurement or spend months on a custom build.",{"type":20,"tag":21,"props":21172,"children":21173},{},[21174],{"type":25,"value":21175},"Narrative removes that overhead entirely. If you already use Narrative's Meta Ads Connector to deliver audiences for targeting, this is the natural complement — the piece that closes the loop on what those audiences actually did.",{"type":20,"tag":1495,"props":21177,"children":21179},{"id":21178},"what-you-can-do-now",[21180],{"type":25,"value":21181},"What You Can Do Now",{"type":20,"tag":21,"props":21183,"children":21184},{},[21185],{"type":25,"value":21186},"The Meta Conversions API Connector enables you to take conversion event data in Narrative and deliver it directly to Meta. Here is what that unlocks:",{"type":20,"tag":903,"props":21188,"children":21189},{},[21190,21200,21210,21220,21230],{"type":20,"tag":907,"props":21191,"children":21192},{},[21193,21198],{"type":20,"tag":33,"props":21194,"children":21195},{},[21196],{"type":25,"value":21197},"Send offline conversions to Meta, automatically.",{"type":25,"value":21199}," Deliver purchase events, lead conversions, store visits, and more to Meta's Conversions API hourly or in real-time — in line with Meta's recommendation to deliver within two hours of conversion. 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The Meta Conversions API Connector is the latest example: turning a multi-month integration project into a configuration.",{"type":20,"tag":1495,"props":21255,"children":21257},{"id":21256},"get-started",[21258],{"type":25,"value":21259},"Get Started",{"type":20,"tag":21,"props":21261,"children":21262},{},[21263],{"type":25,"value":21264},"The Meta Conversions API Connector is available now. 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Narrative has been steadily bridging this gap.",{"type":20,"tag":21,"props":21326,"children":21327},{},[21328],{"type":25,"value":21329},"Today, we're thrilled to unveil a game-changing breakthrough in AI model training. This innovation empowers everyone—from chief revenue officers to product development teams—to train AI models, monetize data, and collaborate effortlessly with clients and partners on AI projects—without the need for complex coding, configuration, or infrastructure.",{"type":20,"tag":21,"props":21331,"children":21332},{},[21333],{"type":25,"value":21334},"In simple terms, Narrative’s latest release transforms raw, disparate datasets into valuable training material using an easy point-and-click interface and robust backend technology.",{"type":20,"tag":1495,"props":21336,"children":21338},{"id":21337},"the-landscape-of-ai-model-development-is-about-to-change-dramatically-with-model-studio-and-rosetta-stone-20",[21339],{"type":25,"value":21340},"The landscape of AI model development is about to change dramatically with Model Studio and Rosetta Stone 2.0.",{"type":20,"tag":2006,"props":21342,"children":21343},{},[],{"type":20,"tag":21,"props":21345,"children":21346},{},[21347],{"type":25,"value":21348},"Model Studio, an intuitive point-and-click training tool, and Rosetta Stone 2.0, our advanced data normalization solution, address two critical challenges in AI development:",{"type":20,"tag":903,"props":21350,"children":21351},{},[21352,21357],{"type":20,"tag":907,"props":21353,"children":21354},{},[21355],{"type":25,"value":21356},"customizing AI models for specific business needs",{"type":20,"tag":907,"props":21358,"children":21359},{},[21360],{"type":25,"value":21361},"making diverse data sources work together seamlessly",{"type":20,"tag":21,"props":21363,"children":21364},{},[21365],{"type":20,"tag":33,"props":21366,"children":21367},{},[21368],{"type":25,"value":21369},"Understanding AI Model Training",{"type":20,"tag":21,"props":21371,"children":21372},{},[21373],{"type":25,"value":21374},"Let's start with what model training means in practical terms. 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These may include examples such as this:",{"type":20,"tag":903,"props":21381,"children":21382},{},[21383,21388,21393],{"type":20,"tag":907,"props":21384,"children":21385},{},[21386],{"type":25,"value":21387},"A healthcare provider training the model to understand medical terminology and standard procedures",{"type":20,"tag":907,"props":21389,"children":21390},{},[21391],{"type":25,"value":21392},"A financial institution training it to interpret complex financial documents and regulatory filings",{"type":20,"tag":907,"props":21394,"children":21395},{},[21396],{"type":25,"value":21397},"A manufacturing company training it to understand technical specifications and industry standards",{"type":20,"tag":21,"props":21399,"children":21400},{},[21401],{"type":20,"tag":33,"props":21402,"children":21403},{},[21404],{"type":25,"value":21405},"How Narrative Democratizes Model Training",{"type":20,"tag":21,"props":21407,"children":21408},{},[21409],{"type":25,"value":21410},"Today, this kind of customization requires advanced ML engineering resources. The painstaking work of  building, validating, or sourcing relevant training datasets is another enormous demand on a company’s various tech, marketing, and sales teams.",{"type":20,"tag":1495,"props":21412,"children":21414},{"id":21413},"model-studio-and-rosetta-stone-20-turns-this-into-a-task-anyone-can-do-literally",[21415],{"type":25,"value":21416},"Model Studio and Rosetta Stone 2.0 turns this into a task anyone can do — literally.",{"type":20,"tag":2006,"props":21418,"children":21419},{},[],{"type":20,"tag":21,"props":21421,"children":21422},{},[21423],{"type":25,"value":21424},"Narrative’s intuitive interface and AI-powered backend simplify complex processes, handling all the technical details. Plus, the platform offers easy access to a marketplace of datasets for training your models.",{"type":20,"tag":21,"props":21426,"children":21427},{},[21428],{"type":25,"value":21429},"This ensures that data from various sources is converted into a consistent, standardized format that works seamlessly in the background—like a universal translator for your data.",{"type":20,"tag":21,"props":21431,"children":21432},{},[21433],{"type":20,"tag":33,"props":21434,"children":21435},{},[21436],{"type":25,"value":21437},"How Model Studio opens the doors for anyone to do AI development:",{"type":20,"tag":903,"props":21439,"children":21440},{},[21441,21446,21451,21456],{"type":20,"tag":907,"props":21442,"children":21443},{},[21444],{"type":25,"value":21445},"Point & click workflow allowing business users to train models and not just data scientists",{"type":20,"tag":907,"props":21447,"children":21448},{},[21449],{"type":25,"value":21450},"Training data is automatically normalized by Rosetta Stone",{"type":20,"tag":907,"props":21452,"children":21453},{},[21454],{"type":25,"value":21455},"Easy sourcing of proprietary data via Narrative marketplace to expand data beyond your owned assets and augment Training",{"type":20,"tag":907,"props":21457,"children":21458},{},[21459],{"type":25,"value":21460},"A set of libraries allow fine-tuned models to operate not just as a chat bot, but as a systems expert that can interact with your enterprise’s technology stack",{"type":20,"tag":21,"props":21462,"children":21463},{},[21464],{"type":20,"tag":33,"props":21465,"children":21466},{},[21467],{"type":25,"value":21468},"Consider these real-world scenarios that Rosetta Stone 2.0 handles:",{"type":20,"tag":903,"props":21470,"children":21471},{},[21472,21477,21482],{"type":20,"tag":907,"props":21473,"children":21474},{},[21475],{"type":25,"value":21476},"Sharing data with partners that each store data in a different way, for example timestamps.",{"type":20,"tag":907,"props":21478,"children":21479},{},[21480],{"type":25,"value":21481},"Map between standards like country names and country codes",{"type":20,"tag":907,"props":21483,"children":21484},{},[21485],{"type":25,"value":21486},"Help normalize data from internal teams with different data capture methodologies, ex: managers of retails stores who each report sales and inventory data slightly differently.",{"type":20,"tag":21,"props":21488,"children":21489},{},[21490],{"type":25,"value":21491},"Unlike traditional tools that require manual mapping for each new data format, Rosetta Stone 2.0 can intelligently recognize and standardize any new data it encounters. It is, essentially,  a super-powered  data analyst instantly understanding and standardizing  any new dataset you provide.",{"type":20,"tag":21,"props":21493,"children":21494},{},[21495],{"type":25,"value":21496},"For technical teams who've wrestled with these challenges, Narrative represents a significant breakthrough. The platform can work with diverse data sources while maintaining precise control over data usage. Organizations can now fine-tune models using combinations of proprietary data, partner datasets, and marketplace content – all without writing code.",{"type":20,"tag":21,"props":21498,"children":21499},{},[21500],{"type":20,"tag":33,"props":21501,"children":21502},{},[21503],{"type":25,"value":21504},"Rosetta Stone 2.0: Beyond Basic Data Normalization",{"type":20,"tag":21,"props":21506,"children":21507},{},[21508],{"type":25,"value":21509},"Consider a manufacturing company dealing with supplier data from different countries. Traditional tools would require manual mapping for each supplier's format. Rosetta Stone 2.0 can automatically understand that \"Part_No\", \"ItemID,\" and \"Component_Number\" all refer to the same thing, even if it hasn't seen these specific terms before.",{"type":20,"tag":21,"props":21511,"children":21512},{},[21513],{"type":20,"tag":33,"props":21514,"children":21515},{},[21516],{"type":25,"value":21517},"Rosetta Stone 2.0’s standout features:",{"type":20,"tag":903,"props":21519,"children":21520},{},[21521,21526,21531],{"type":20,"tag":907,"props":21522,"children":21523},{},[21524],{"type":25,"value":21525},"An advanced intelligent system that is more frequently updated to keep up with the rapid and constant tech progress that too often makes solutions quickly obsolete and outmoded. There’s no more “catch-up” needed by users of Rosetta Stone 2.0.",{"type":20,"tag":907,"props":21527,"children":21528},{},[21529],{"type":25,"value":21530},"Multiple model sizes to adapt to the speed and precision levels required by your organization (3B, 8B, 70B parameters respectively).",{"type":20,"tag":907,"props":21532,"children":21533},{},[21534],{"type":25,"value":21535},"Most importantly, you can train Rosetta Stone 2.0 on your own data and optionally your own custom data attributes — all without exposing your data back to Narrative.",{"type":20,"tag":21,"props":21537,"children":21538},{},[21539],{"type":25,"value":21540},"The system's ability to learn from organizational context is particularly powerful. Users can fine-tune the normalization model to understand company-specific terms or industry-specific standards.",{"type":20,"tag":21,"props":21542,"children":21543},{},[21544],{"type":25,"value":21545},"For instance, a global retailer could train the model to normalize product categories across different regional naming conventions without requiring manual mapping.",{"type":20,"tag":21,"props":21547,"children":21548},{},[21549],{"type":20,"tag":33,"props":21550,"children":21551},{},[21552],{"type":25,"value":21553},"A New Approach to Data Monetization",{"type":20,"tag":21,"props":21555,"children":21556},{},[21557],{"type":25,"value":21558},"Perhaps the most notable aspect of this release is our reimagining of data monetization. Organizations can now profit from their data in two distinct ways:",{"type":20,"tag":903,"props":21560,"children":21561},{},[21562,21567],{"type":20,"tag":907,"props":21563,"children":21564},{},[21565],{"type":25,"value":21566},"Offering datasets specifically for training other organizations' AI models",{"type":20,"tag":907,"props":21568,"children":21569},{},[21570],{"type":25,"value":21571},"Monetizing their pre-trained models while keeping their underlying data private",{"type":20,"tag":21,"props":21573,"children":21574},{},[21575],{"type":25,"value":21576},"This creates interesting opportunities. A healthcare provider, for instance, could monetize their anonymized medical records specifically for training diagnostic models without exposing the raw patient data. The platform's granular access controls ensure that data providers maintain precise control over how their information is used.",{"type":20,"tag":21,"props":21578,"children":21579},{},[21580],{"type":20,"tag":33,"props":21581,"children":21582},{},[21583],{"type":25,"value":21584},"A Huge Step Forward",{"type":20,"tag":21,"props":21586,"children":21587},{},[21588],{"type":25,"value":21589},"From an infrastructure perspective, Narrative eliminates many common pain points. Organizations no longer need to maintain complex systems for data cleaning and standardization, as these functions are handled natively within the platform. This not only reduces technical overhead but also simplifies compliance and security management.",{"type":20,"tag":21,"props":21591,"children":21592},{},[21593],{"type":25,"value":21594},"Our new model training and Rosetta Stone 2.0 represent a significant step forward in making AI development more accessible and practical. By combining easy-to-use model training tools with sophisticated data normalization and a flexible monetization framework, they've created a solution that addresses the real-world challenges of building and deploying custom AI solutions.",{"type":20,"tag":21,"props":21596,"children":21597},{},[21598],{"type":25,"value":21599},"For technical leaders looking to accelerate their AI initiatives while maintaining control over data and models, Narrative offers a compelling alternative to traditional development approaches. The ability to leverage diverse data sources while maintaining granular control over data usage could fundamentally change how organizations approach AI development.",{"type":20,"tag":21,"props":21601,"children":21602},{},[21603],{"type":25,"value":21604},"Model Studio and Rosetta Stone 2.0 ready for immediate deployment. Organizations interested in either custom model development or data monetization can begin exploring these capabilities without the traditional overhead of building out specialized infrastructure or data science teams.",{"type":20,"tag":21,"props":21606,"children":21607},{},[21608],{"type":25,"value":21609},"Get in touch to learn more!",{"title":8,"searchDepth":193,"depth":193,"links":21611},[21612,21613,21614],{"id":21313,"depth":193,"text":21316},{"id":21337,"depth":193,"text":21340},{"id":21413,"depth":193,"text":21416},"content:blog:model-studio-rosetta-stone20.md","blog/model-studio-rosetta-stone20.md","blog/model-studio-rosetta-stone20",{"loc":21303},{"_path":21620,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":21621,"description":21622,"publishDate":21623,"author":3778,"ogImage":21624,"image":21624,"tags":21625,"body":21627,"_type":195,"_id":21919,"_source":197,"_file":21920,"_stem":21921,"_extension":200,"sitemap":21922},"/blog/narrative-101-how-are-companies-using-narrative","Narrative 101: How Are Companies Using Narrative?","Learn how companies are leveraging Narrative's Acquire and Distribute platforms to power their data strategies.","2019-07-23 12:00:00","/img/blog/2019/07/narrative-101-pt-2.png",[21626],"insights",{"type":17,"children":21628,"toc":21914},[21629,21646,21652,21657,21685,21690,21711,21716,21733,21743,21748,21753,21758,21763,21768,21773,21778,21791,21796,21813,21822,21827,21836,21853,21858,21867,21876,21891,21895],{"type":20,"tag":7566,"props":21630,"children":21631},{},[21632],{"type":20,"tag":21,"props":21633,"children":21634},{},[21635,21639,21640,21645],{"type":20,"tag":33,"props":21636,"children":21637},{},[21638],{"type":25,"value":7576},{"type":25,"value":7578},{"type":20,"tag":44,"props":21641,"children":21643},{"href":772,"rel":21642},[538],[21644],{"type":25,"value":7584},{"type":25,"value":191},{"type":20,"tag":223,"props":21647,"children":21649},{"id":21648},"learn-how-companies-are-leveraging-narrative-to-power-their-data-strategies",[21650],{"type":25,"value":21651},"Learn how companies are leveraging Narrative to power their data strategies",{"type":20,"tag":21,"props":21653,"children":21654},{},[21655],{"type":25,"value":21656},"Welcome back to class, students.",{"type":20,"tag":21,"props":21658,"children":21659},{},[21660,21662,21668,21670,21676,21677,21683],{"type":25,"value":21661},"In our second installment of our \"Narrative 101\" series (",{"type":20,"tag":44,"props":21663,"children":21665},{"href":21664},"/blog/narrative-101-what-is-narrative",[21666],{"type":25,"value":21667},"here's part one",{"type":25,"value":21669},"), Narrative founder and CEO Nick Jordan provides some real-life examples of how companies are leveraging Narrative's ",{"type":20,"tag":44,"props":21671,"children":21673},{"href":772,"rel":21672},[538],[21674],{"type":25,"value":21675},"Acquire",{"type":25,"value":160},{"type":20,"tag":44,"props":21678,"children":21680},{"href":772,"rel":21679},[538],[21681],{"type":25,"value":21682},"Distribute",{"type":25,"value":21684}," platforms to power their data strategies.",{"type":20,"tag":21,"props":21686,"children":21687},{},[21688],{"type":25,"value":21689},"Watch the video or read the interview below to learn:",{"type":20,"tag":903,"props":21691,"children":21692},{},[21693,21702],{"type":20,"tag":907,"props":21694,"children":21695},{},[21696],{"type":20,"tag":44,"props":21697,"children":21699},{"href":21698},"#Acquire",[21700],{"type":25,"value":21701},"How are companies using the Acquire platform?",{"type":20,"tag":907,"props":21703,"children":21704},{},[21705],{"type":20,"tag":44,"props":21706,"children":21708},{"href":21707},"#Distribute",[21709],{"type":25,"value":21710},"How are companies using the Distribute platform?",{"type":20,"tag":223,"props":21712,"children":21714},{"id":21713},"how-are-companies-using-the-acquire-platform",[21715],{"type":25,"value":21701},{"type":20,"tag":21,"props":21717,"children":21718},{},[21719,21724,21726,21732],{"type":20,"tag":33,"props":21720,"children":21721},{},[21722],{"type":25,"value":21723},"Joe Apprendi:",{"type":25,"value":21725}," Could you provide an example of a best practice client that's leveraging the Narrative platform on the ",{"type":20,"tag":44,"props":21727,"children":21729},{"href":772,"rel":21728},[538],[21730],{"type":25,"value":21731},"Acquire side",{"type":25,"value":16386},{"type":20,"tag":21,"props":21734,"children":21735},{},[21736,21741],{"type":20,"tag":33,"props":21737,"children":21738},{},[21739],{"type":25,"value":21740},"Nick Jordan:",{"type":25,"value":21742}," I think the most interesting case study we've seen is with a gaming company that we work with. They were effectively launching a new game, and they had a cold start problem. They couldn't just look at their other games and say, \"We assume that these same behaviors are going to happen with this new game.\"",{"type":20,"tag":21,"props":21744,"children":21745},{},[21746],{"type":25,"value":21747},"The first thing they wanted to do was get some competitive intelligence. They wanted to understand, in this category of game that I'm developing, who are the users that are playing these types of games? So they used our marketplace to buy app usage data across their competitive set. They said, \"It's these seven games that we think are competitors. We want as much data as possible about who plays those games so our consumer insights and competitive intelligence team can go formulate an idea of who our target customer is.\"",{"type":20,"tag":21,"props":21749,"children":21750},{},[21751],{"type":25,"value":21752},"What they realized is that their new game's potential users were very different than their current games' potential users. They were a completely different segment of the population, which meant they really couldn't use their existing data to do acquisition, because they'd be trying to acquire completely different people.",{"type":20,"tag":21,"props":21754,"children":21755},{},[21756],{"type":25,"value":21757},"So the second thing they did is they launched the game in two test markets. They took that same data they'd already procured from a consumer insight perspective, and used that data to do acquisition, mostly through social channels in those target markets.",{"type":20,"tag":21,"props":21759,"children":21760},{},[21761],{"type":25,"value":21762},"Once they got their acquisition metrics to a number they were comfortable with—revenue per install, cost per install—they wanted to go with a full launch across the US. As part of that, they had a $50 million TV budget that they wanted to use.",{"type":20,"tag":21,"props":21764,"children":21765},{},[21766],{"type":25,"value":21767},"So then they came back to the marketplace, because we have TV data that's available there. They purchased TV data about those same users that were playing their competitors' apps to say, \"Do these people watch the History Channel, or PBS, or CSPAN, or CNN? Do they watch from 8:00 PM to 12:00 PM? Do they watch it in the morning?\" They developed an idea of who their customers were, when they were watching TV, and built their television plan around that using data through our platform.",{"type":20,"tag":21,"props":21769,"children":21770},{},[21771],{"type":25,"value":21772},"Then, they continued to buy television data of people that had been exposed to their TV ad to attribute were those people more likely to actually install the game than those that were not exposed to the TV ad.",{"type":20,"tag":21,"props":21774,"children":21775},{},[21776],{"type":25,"value":21777},"It was very holistic. From \"I need to understand who my target is,\" to \"I need to figure out if I can acquire those users.\" Then, \"I want to go big and have a TV component, and measure if the whole thing worked.\" All powered by data through out platform.",{"type":20,"tag":21,"props":21779,"children":21780},{},[21781,21783,21789],{"type":25,"value":21782},"Learn more about ",{"type":20,"tag":44,"props":21784,"children":21786},{"href":21785},"/blog/using-narrative-for-mobile-app-competitive-intelligence",[21787],{"type":25,"value":21788},"how to use Narrative Acquire to gather competitive intelligence data",{"type":25,"value":21790}," and convert potential customers.",{"type":20,"tag":223,"props":21792,"children":21794},{"id":21793},"how-are-companies-using-the-distribute-platform",[21795],{"type":25,"value":21710},{"type":20,"tag":21,"props":21797,"children":21798},{},[21799,21803,21805,21811],{"type":20,"tag":33,"props":21800,"children":21801},{},[21802],{"type":25,"value":21723},{"type":25,"value":21804}," So on the other side of the market, on the ",{"type":20,"tag":44,"props":21806,"children":21808},{"href":772,"rel":21807},[538],[21809],{"type":25,"value":21810},"sell side",{"type":25,"value":21812},", give me an example how that's benefiting data providers. Is it strictly based on workflow efficiency, or really, engaging with new markets that they haven't engaged in the past?",{"type":20,"tag":21,"props":21814,"children":21815},{},[21816,21820],{"type":20,"tag":33,"props":21817,"children":21818},{},[21819],{"type":25,"value":21740},{"type":25,"value":21821}," It's a little bit of everything. We give the sell side turnkey solutions that make it really easy for them to sell without spinning up massive engineering teams, operations teams, etc.",{"type":20,"tag":21,"props":21823,"children":21824},{},[21825],{"type":25,"value":21826},"We are definitely opening up new markets where, maybe historically, they haven't looked. A lot of data sellers, historically, have been wholesale businesses; they want to sell all of their data to anyone that wants to buy it. But the total addressable market of companies that want all of the data in the world—while big deals individually—there's relatively few of those companies. So we've given sellers tools where they can now go sell 5 percent, 1 percent of their dataset at a premium, but to sell it to 5,000 companies instead of selling it to 24 companies.",{"type":20,"tag":21,"props":21828,"children":21829},{},[21830,21834],{"type":20,"tag":33,"props":21831,"children":21832},{},[21833],{"type":25,"value":21723},{"type":25,"value":21835}," Is there a unique data provider that you would say is opportunistic through Narrative that isn't generally available through other methods of acquiring it?",{"type":20,"tag":21,"props":21837,"children":21838},{},[21839,21843,21845,21851],{"type":20,"tag":33,"props":21840,"children":21841},{},[21842],{"type":25,"value":21740},{"type":25,"value":21844}," We have a number of them. We recently talked about a ",{"type":20,"tag":44,"props":21846,"children":21848},{"href":21847},"/blog/turnkey-onboarding-and-identity-from-narrative-and-liveintent",[21849],{"type":25,"value":21850},"deal that we did with LiveIntent",{"type":25,"value":21852},", which has consumer identity data. Historically, they've actually sold their data through other channels, but decided that the middlemen that they were working with as part of those deals were taking the majority of the value chain that they wanted to keep for themselves.",{"type":20,"tag":21,"props":21854,"children":21855},{},[21856],{"type":25,"value":21857},"That's another way that people are really leveraging us on the sell side. Historically, if you've worked with a data broker, you pushed the data to the data broker, and then you get one check at the end of every month. But, presumably, that broker is then selling the data to hundreds or thousands of companies. If you're a seller, you'd much rather be getting a thousand checks, having direct relationships with all thousand of those companies. But, it's obviously operationally very hard to do. We really simplify that process so you can have a thousand deals without having a 200-person team to operate it.",{"type":20,"tag":21,"props":21859,"children":21860},{},[21861,21865],{"type":20,"tag":33,"props":21862,"children":21863},{},[21864],{"type":25,"value":21723},{"type":25,"value":21866}," You talked about something very specific and I don't want to overlook that: instead of this kind of all-you-can-eat, everything-I've-got, you-figure-out-what's-useful-to-you model, companies can actually leverage your tool from a discovery perspective, from a query perspective, to actually identify exactly what they need so that sellers can start doing transaction with clients that they probably couldn't do before, because they weren't ready to buy all the data.",{"type":20,"tag":21,"props":21868,"children":21869},{},[21870,21874],{"type":20,"tag":33,"props":21871,"children":21872},{},[21873],{"type":25,"value":21740},{"type":25,"value":21875}," That's exactly right. If you want to sell all of your data for $100,000 a month, and there's 20 companies that are willing to buy all of that, what if you could sell 5% of your data for $10,000 a month, but you could sell that to 2,000 companies? Your total addressable market is now exponentially grown, and by virtue of working with us, your operational footprint doesn't have to grow exponentially. It can grow at a much smaller pace.",{"type":20,"tag":21,"props":21877,"children":21878},{},[21879],{"type":20,"tag":33,"props":21880,"children":21881},{},[21882,21884,21889],{"type":25,"value":21883},"If you want to learn how Narrative's solutions can help your company simplify their data acquisition and monetization strategy, ",{"type":20,"tag":44,"props":21885,"children":21886},{"href":180},[21887],{"type":25,"value":21888},"send us a message",{"type":25,"value":21890},"—we'd love to chat.",{"type":20,"tag":21892,"props":21893,"children":21894},"hr",{},[],{"type":20,"tag":21,"props":21896,"children":21897},{},[21898,21899,21904,21906,21912],{"type":25,"value":5653},{"type":20,"tag":44,"props":21900,"children":21901},{"href":21664},[21902],{"type":25,"value":21903},"Read part one",{"type":25,"value":21905}," of Narrative 101 to learn what Narrative does and how it's changing the way data is transacted, and ",{"type":20,"tag":44,"props":21907,"children":21909},{"href":21908},"/blog/narrative-101-the-future-of-narrative",[21910],{"type":25,"value":21911},"part three",{"type":25,"value":21913}," to learn about Narrative's plans for the future.",{"title":8,"searchDepth":193,"depth":193,"links":21915},[21916,21917,21918],{"id":21648,"depth":380,"text":21651},{"id":21713,"depth":380,"text":21701},{"id":21793,"depth":380,"text":21710},"content:blog:narrative-101-how-are-companies-using-narrative.md","blog/narrative-101-how-are-companies-using-narrative.md","blog/narrative-101-how-are-companies-using-narrative",{"loc":21620},{"_path":21908,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":21924,"description":21925,"publishDate":21926,"author":3778,"ogImage":21927,"image":21927,"tags":21928,"body":21929,"_type":195,"_id":22220,"_source":197,"_file":22221,"_stem":22222,"_extension":200,"sitemap":22223},"Narrative 101: The Future of Narrative [Video]","Narrative’s CEO, Nick Jordan, discusses his plans for the future of Narrative and the company's potential to revolutionize the data economy.","2019-07-30 15:05:21","/img/blog/2019/07/narrative-101-pt-3.png",[21626],{"type":17,"children":21930,"toc":22214},[21931,21937,21958,21963,21993,21998,22003,22012,22021,22030,22039,22044,22049,22054,22059,22068,22077,22086,22095,22100,22109,22118,22123,22128,22137,22146,22151,22156,22165,22170,22179,22184,22196,22199],{"type":20,"tag":223,"props":21932,"children":21934},{"id":21933},"learn-how-narrative-plans-to-revolutionize-the-data-economy",[21935],{"type":25,"value":21936},"Learn how Narrative plans to revolutionize the data economy",{"type":20,"tag":21,"props":21938,"children":21939},{},[21940],{"type":20,"tag":2347,"props":21941,"children":21942},{},[21943,21945,21949,21951,21956],{"type":25,"value":21944},"This is part three of \"Narrative 101,\" a three-part series designed to introduce you to all things Narrative: what we do, how we're being used, and where we're going. ",{"type":20,"tag":44,"props":21946,"children":21947},{"href":21664},[21948],{"type":25,"value":21903},{"type":25,"value":21950}," to learn about what we do, and ",{"type":20,"tag":44,"props":21952,"children":21953},{"href":21620},[21954],{"type":25,"value":21955},"part two",{"type":25,"value":21957}," to find out how companies are using Narrative to power their data strategies.",{"type":20,"tag":21,"props":21959,"children":21960},{},[21961],{"type":25,"value":21962},"In the final installment of our \"Narrative 101\" series, Nick Jordan, CEO and founder of Narrative, talks about his plans for the future of Narrative and answers the following questions:",{"type":20,"tag":903,"props":21964,"children":21965},{},[21966,21975,21984],{"type":20,"tag":907,"props":21967,"children":21968},{},[21969],{"type":20,"tag":44,"props":21970,"children":21972},{"href":21971},"#market-size",[21973],{"type":25,"value":21974},"How do you think about market size? How do compliance and regulatory issues come into play?",{"type":20,"tag":907,"props":21976,"children":21977},{},[21978],{"type":20,"tag":44,"props":21979,"children":21981},{"href":21980},"#whats-next",[21982],{"type":25,"value":21983},"What's next for Narrative?",{"type":20,"tag":907,"props":21985,"children":21986},{},[21987],{"type":20,"tag":44,"props":21988,"children":21990},{"href":21989},"#network-effects",[21991],{"type":25,"value":21992},"Are there opportunities for network effects with Narrative?",{"type":20,"tag":21,"props":21994,"children":21995},{},[21996],{"type":25,"value":21997},"Watch the video or read the interview transcript below.",{"type":20,"tag":223,"props":21999,"children":22001},{"id":22000},"how-do-you-think-about-market-size-how-do-compliance-and-regulatory-issues-come-into-play",[22002],{"type":25,"value":21974},{"type":20,"tag":21,"props":22004,"children":22005},{},[22006,22010],{"type":20,"tag":33,"props":22007,"children":22008},{},[22009],{"type":25,"value":21723},{"type":25,"value":22011}," When you think about the total addressable market, how do you think about that in terms of size of this market that you're either competing in or disrupting entirely?",{"type":20,"tag":21,"props":22013,"children":22014},{},[22015,22019],{"type":20,"tag":33,"props":22016,"children":22017},{},[22018],{"type":25,"value":21740},{"type":25,"value":22020}," The total addressable market is massive. We're a 25-person organization, so we're in the early innings of this; we're focusing on some core marketing and advertising use cases right now. But, as you expand that into financial services, and then into agriculture, and into all of these other industries—which the software is built to support from day one—the total revenue potential of companies that will buy and sell data in 2025 will probably be measured in hundreds of billions of dollars, if not in the single trillions of dollars.",{"type":20,"tag":21,"props":22022,"children":22023},{},[22024,22028],{"type":20,"tag":33,"props":22025,"children":22026},{},[22027],{"type":25,"value":21723},{"type":25,"value":22029}," And are you talking on a global basis, or specifically in the U.S. or North American market?",{"type":20,"tag":21,"props":22031,"children":22032},{},[22033,22037],{"type":20,"tag":33,"props":22034,"children":22035},{},[22036],{"type":25,"value":21740},{"type":25,"value":22038}," Yeah, I mean a lot of the companies that are going to be doing it are going to be global companies by virtue of their scale. So that is probably a global number.",{"type":20,"tag":21,"props":22040,"children":22041},{},[22042],{"type":25,"value":22043},"What's interesting about the data economy in different jurisdictions is that you have different laws that are coming up and different compliance frameworks. A lot of people see those as challenges, we actually see those as opportunities.",{"type":20,"tag":21,"props":22045,"children":22046},{},[22047],{"type":25,"value":22048},"There's going to be a fragmented compliance and regulatory framework around data, but I don't think that means that people are going to stop using data and data's suddenly not going to be seen as valuable. I think that means you need the tools to be compliant, and to be diligent, and to be really smart about how you think about data, which just creates more opportunity for us.",{"type":20,"tag":21,"props":22050,"children":22051},{},[22052],{"type":25,"value":22053},"I don't think we're a silver bullet that says, \"If you use Narrative you don't have to worry about GDPR.\" But, if you use Narrative, you can actually do the diligence and compliance work that you should be doing, whereas if you're working with someone that creates a bunch of opacity, and is effectively a middleman, doing that diligence is nearly impossible.",{"type":20,"tag":223,"props":22055,"children":22057},{"id":22056},"whats-next-for-narrative",[22058],{"type":25,"value":21983},{"type":20,"tag":21,"props":22060,"children":22061},{},[22062,22066],{"type":20,"tag":33,"props":22063,"children":22064},{},[22065],{"type":25,"value":21723},{"type":25,"value":22067}," So when you think about where you're headed, from a business and product perspective, you've got the core software marketplace for the buy side and the sell side. What's next?",{"type":20,"tag":21,"props":22069,"children":22070},{},[22071,22075],{"type":20,"tag":33,"props":22072,"children":22073},{},[22074],{"type":25,"value":21740},{"type":25,"value":22076}," I don't want to give too much of the secret sauce away, but we're—",{"type":20,"tag":21,"props":22078,"children":22079},{},[22080,22084],{"type":20,"tag":33,"props":22081,"children":22082},{},[22083],{"type":25,"value":21723},{"type":25,"value":22085}," Oh, give a little.",{"type":20,"tag":21,"props":22087,"children":22088},{},[22089,22093],{"type":20,"tag":33,"props":22090,"children":22091},{},[22092],{"type":25,"value":21740},{"type":25,"value":22094}," All right. We've got a phased approach that I alluded to earlier. We really want to expand into different industries and different types of data. I have a particular interest in agriculture technology, I think it's from my upbringing in the Midwest. But there are other markets that we want to go after also.",{"type":20,"tag":21,"props":22096,"children":22097},{},[22098],{"type":25,"value":22099},"We have a second strategy where we'd really like to embed our marketplace and our offering everywhere. Today, people become a Narrative customer and they log in to our UI, they use our software, and it's great.",{"type":20,"tag":21,"props":22101,"children":22102},{},[22103,22107],{"type":20,"tag":33,"props":22104,"children":22105},{},[22106],{"type":25,"value":21723},{"type":25,"value":22108}," It's more of an API-first versus a UI-first strategy.",{"type":20,"tag":21,"props":22110,"children":22111},{},[22112,22116],{"type":20,"tag":33,"props":22113,"children":22114},{},[22115],{"type":25,"value":21740},{"type":25,"value":22117}," Exactly. If you're a data scientist and you're using a Python workbook and you say, \"You know, I'd really like some data to help improve my model,\" I'd rather you stay in that workbook, click a couple buttons, buy a couple thousand dollars worth of data, and not even know that Narrative exists.",{"type":20,"tag":21,"props":22119,"children":22120},{},[22121],{"type":25,"value":22122},"We're powering those transactions holistically, in the same way that if you're generating data somewhere, if you're a publisher and you're already pushing data to a CDP or an analytics platform, and you wake up one day and decide you want to monetize it, there should be a nice button in that existing tool that lets you monetize it in the way that you want to. So from a channel growth perspective, that creates a lot of really interesting things.",{"type":20,"tag":21,"props":22124,"children":22125},{},[22126],{"type":25,"value":22127},"Then, beyond that, we're pretty dogmatic about not doing anything with the data. We don't see ourselves as creating the value on top of the data. We really see ourselves as pipes in an efficiency play. But we'd really like to build an app platform on top of Narrative.",{"type":20,"tag":21,"props":22129,"children":22130},{},[22131,22135],{"type":20,"tag":33,"props":22132,"children":22133},{},[22134],{"type":25,"value":21723},{"type":25,"value":22136}," What does that mean specifically?",{"type":20,"tag":21,"props":22138,"children":22139},{},[22140,22144],{"type":20,"tag":33,"props":22141,"children":22142},{},[22143],{"type":25,"value":21740},{"type":25,"value":22145}," I'll give you an example. We are having some conversations with some hedge funds right now. Hedge funds are really interested in geospatial data. They want to know which stores people are going to, where they're spending their time. But what they don't really want is, \"This device was at this latitude and longitude at this time.\" They want it tied back to a ticker symbol. So if you're looking for a Tesla, and you go to a Tesla dealership, they don't care that it's the Tesla of Manhattan, they want to know it's TSLA. So creating a service that does latitude and longitude lookup to ticker symbols is something that makes complete sense for them. It's not something that we want to build at all, but if you're another firm that maybe already does that, or if you're a data scientist that thinks you can build that service, we'd like you to be able to create an app on the platform, set a price by which those hedge funds could use that app, and then let those hedge funds buy the data from the originators of the data in the platform and move it through the app that this other provider has created. That has some commercial incentive to it. Then the resulting data that goes to the hedge fund is what they want, which is the ticker symbol tied to the visitation, as opposed to the latitude and longitude.",{"type":20,"tag":21,"props":22147,"children":22148},{},[22149],{"type":25,"value":22150},"I could come up with a thousand different use cases of how people are going to want to enrich data, or validate data, etc. If it's incumbent on us to build all thousand of those, we're in trouble. We're going to have to be a 250,000 person company and it's going to take forever. But if we can really create an ecosystem—not unlike what Apple did with the App Store—not only does that create better outcomes for all of our customers, but it also creates a true platform, whereas when most people talk about a platform, they're really just talking about a product.",{"type":20,"tag":223,"props":22152,"children":22154},{"id":22153},"are-there-opportunities-for-network-effects-with-narrative",[22155],{"type":25,"value":21992},{"type":20,"tag":21,"props":22157,"children":22158},{},[22159,22163],{"type":20,"tag":33,"props":22160,"children":22161},{},[22162],{"type":25,"value":21723},{"type":25,"value":22164}," One of the things that Revel really loved about Narrative—outside of our operating heritage, coming from a martech perspective—was that you kind of fit in terms of our overall thesis of product-led growth companies.",{"type":20,"tag":21,"props":22166,"children":22167},{},[22168],{"type":25,"value":22169},"We've coined this term the REV factor: Repeatable, Evergreen, Viral. Repeatable meaning easy-to-implement, replicable way of onboarding clients. Evergreen, meaning mission-critical. Then, lastly, viral; given your platform, given the connectivity between the buy side and the sell side, it seems like a lot of opportunity for a network effect for your product, and that should really ignite growth versus your kind of customary enterprise application.",{"type":20,"tag":21,"props":22171,"children":22172},{},[22173,22177],{"type":20,"tag":33,"props":22174,"children":22175},{},[22176],{"type":25,"value":21740},{"type":25,"value":22178}," One hundred percent. I actually got the question yesterday from someone, they said, \"Oftentimes, marketplaces are winner-take-all, just by virtue of them.\" The question was, \"Do you think Narrative is a winner-take-all market?\"",{"type":20,"tag":21,"props":22180,"children":22181},{},[22182],{"type":25,"value":22183},"My initial response to them was, \"Data is a hard place to have a winner-take-all model because you can sell the same data a thousand times in a thousand different places. Exclusivity is hard to get with data marketplaces.\" That's actually why we feel the SaaS platform that sits around it is so important, because as people are using us as their platform of record, we already have buyers that get approached by sellers and they say, \"Hey, we'd love to sell you some data.\" And the buyer says, \"Great, but you have to do it through Narrative because they make my life easy.\" We're starting to see some sellers that are saying, \"Okay, we're just going to push all of our opportunities through you, because you make my life easy.\" I do think it becomes a winner-takes-all market if you have the stickiness of the SaaS and then the network effects of the marketplace.",{"type":20,"tag":21,"props":22185,"children":22186},{},[22187],{"type":20,"tag":33,"props":22188,"children":22189},{},[22190,22191,22195],{"type":25,"value":21883},{"type":20,"tag":44,"props":22192,"children":22193},{"href":180},[22194],{"type":25,"value":21888},{"type":25,"value":21890},{"type":20,"tag":21892,"props":22197,"children":22198},{},[],{"type":20,"tag":21,"props":22200,"children":22201},{},[22202,22203,22207,22208,22212],{"type":25,"value":5653},{"type":20,"tag":44,"props":22204,"children":22205},{"href":21664},[22206],{"type":25,"value":21903},{"type":25,"value":21905},{"type":20,"tag":44,"props":22209,"children":22210},{"href":21620},[22211],{"type":25,"value":21955},{"type":25,"value":22213}," to discover how companies are using Narrative to power their data strategies.",{"title":8,"searchDepth":193,"depth":193,"links":22215},[22216,22217,22218,22219],{"id":21933,"depth":380,"text":21936},{"id":22000,"depth":380,"text":21974},{"id":22056,"depth":380,"text":21983},{"id":22153,"depth":380,"text":21992},"content:blog:narrative-101-the-future-of-narrative.md","blog/narrative-101-the-future-of-narrative.md","blog/narrative-101-the-future-of-narrative",{"loc":21908},{"_path":21664,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":22225,"description":22226,"publishDate":22227,"author":3778,"ogImage":22228,"image":22228,"tags":22229,"body":22230,"_type":195,"_id":22521,"_source":197,"_file":22522,"_stem":22523,"_extension":200,"sitemap":22524},"Narrative 101: What Is Narrative?","Narrative’s CEO, Nick Jordan, discusses what Narrative does and how it’s changing the way data is bought, sold, and distributed.","2019-07-16 16:00:00","/img/blog/2019/07/narrative-101-pt-1.png",[21626],{"type":17,"children":22231,"toc":22514},[22232,22238,22243,22248,22262,22301,22306,22311,22320,22329,22334,22343,22352,22357,22362,22367,22372,22377,22382,22391,22400,22405,22410,22419,22428,22433,22438,22443,22457,22462,22481,22494,22497],{"type":20,"tag":223,"props":22233,"children":22235},{"id":22234},"learn-what-narrative-does-and-how-its-changing-the-way-data-is-transacted",[22236],{"type":25,"value":22237},"Learn what Narrative does and how it's changing the way data is transacted",{"type":20,"tag":21,"props":22239,"children":22240},{},[22241],{"type":25,"value":22242},"What is Narrative? How are businesses using Narrative? And what's next for Narrative?",{"type":20,"tag":21,"props":22244,"children":22245},{},[22246],{"type":25,"value":22247},"\"Narrative 101\" is a 3-part video series in which we break down everything you need to know about Narrative: what we do, how we're being used, and where we're headed next.",{"type":20,"tag":21,"props":22249,"children":22250},{},[22251,22253,22260],{"type":25,"value":22252},"In the first video of the series, Narrative founder and CEO Nick Jordan sits down with Joe Apprendi, General Partner at ",{"type":20,"tag":44,"props":22254,"children":22257},{"href":22255,"rel":22256},"http://www.revelpartners.com/",[538],[22258],{"type":25,"value":22259},"Revel",{"type":25,"value":22261},", a Narrative investor, to discuss what Narrative does and his impetus for starting the company. Watch the video or read the interview below for answers to the following questions:",{"type":20,"tag":903,"props":22263,"children":22264},{},[22265,22274,22283,22292],{"type":20,"tag":907,"props":22266,"children":22267},{},[22268],{"type":20,"tag":44,"props":22269,"children":22271},{"href":22270},"#q1",[22272],{"type":25,"value":22273},"What is Narrative?",{"type":20,"tag":907,"props":22275,"children":22276},{},[22277],{"type":20,"tag":44,"props":22278,"children":22280},{"href":22279},"#q2",[22281],{"type":25,"value":22282},"What gap in the market is Narrative filling?",{"type":20,"tag":907,"props":22284,"children":22285},{},[22286],{"type":20,"tag":44,"props":22287,"children":22289},{"href":22288},"#q3",[22290],{"type":25,"value":22291},"What type of company can benefit from using Narrative?",{"type":20,"tag":907,"props":22293,"children":22294},{},[22295],{"type":20,"tag":44,"props":22296,"children":22298},{"href":22297},"#q4",[22299],{"type":25,"value":22300},"What's the difference between the software and marketplace aspects of the product?",{"type":20,"tag":21,"props":22302,"children":22303},{},[22304],{"type":25,"value":22305},"Class is now in session.",{"type":20,"tag":223,"props":22307,"children":22309},{"id":22308},"what-is-narrative",[22310],{"type":25,"value":22273},{"type":20,"tag":21,"props":22312,"children":22313},{},[22314,22318],{"type":20,"tag":33,"props":22315,"children":22316},{},[22317],{"type":25,"value":21723},{"type":25,"value":22319}," Tell me about Narrative.",{"type":20,"tag":21,"props":22321,"children":22322},{},[22323,22327],{"type":20,"tag":33,"props":22324,"children":22325},{},[22326],{"type":25,"value":21740},{"type":25,"value":22328}," Narrative is a fairly early stage company. We've been around for a couple years. We're building software that helps empower the data economy. We're bringing organizations that need data to build better, more successful companies together with organizations that have a lot of data that are looking for ways to monetize it, and letting them work together seamlessly, efficiently, and most importantly, directly. We're getting rid of the traditional model of data brokerage by bringing buyers and sellers together directly, and making it easy through software.",{"type":20,"tag":223,"props":22330,"children":22332},{"id":22331},"what-gap-in-the-market-is-narrative-filling",[22333],{"type":25,"value":22282},{"type":20,"tag":21,"props":22335,"children":22336},{},[22337,22341],{"type":20,"tag":33,"props":22338,"children":22339},{},[22340],{"type":25,"value":21723},{"type":25,"value":22342}," So, obviously, there's a lot of players in the market. You've got CDPs, you've got the CRM solutions, you've got DMPs. And, clearly, you have the data exchanges that have predated you. Certainly, you've got a long term perspective on that, and obviously have applied that to this solution. But, what gap or what problem, or maybe even more importantly, what market trend or enterprise insight really drove you to say, \"Now's the time for Narrative\"?",{"type":20,"tag":21,"props":22344,"children":22345},{},[22346,22350],{"type":20,"tag":33,"props":22347,"children":22348},{},[22349],{"type":25,"value":21740},{"type":25,"value":22351}," Well, actually the idea for Narrative came in my previous role. I ran product and strategy at a company called Tapad, and we had 10 data scientists on staff. Those data scientists were always coming to me as the Head of Product saying, \"We need more data. The data that we have is great, but it's not sufficient to build great machine learning or AI models.\"",{"type":20,"tag":21,"props":22353,"children":22354},{},[22355],{"type":25,"value":22356},"When a data scientist asks for that, what they're really looking for is data right out of the ground, something that hasn't gone through someone else's black box—raw data, unfiltered, unaggregated, uninferred, untouched.",{"type":20,"tag":21,"props":22358,"children":22359},{},[22360],{"type":25,"value":22361},"A lot of those solutions that you talked about, that have served the ecosystem historically, have touched the data, aggregated the data, and simplified the data in some ways. This makes it easy to use, but also removes some of the value. When you simplify data, you remove the optionality of all of the other things you might want to do with it.",{"type":20,"tag":21,"props":22363,"children":22364},{},[22365],{"type":25,"value":22366},"Another way that we think about things is, circa 2010 and before, data really had to be human-scaled. Data was going to be interpreted by a human—it was going to be put into an Excel spreadsheet or maybe an Oracle database if we're really getting complicated.",{"type":20,"tag":21,"props":22368,"children":22369},{},[22370],{"type":25,"value":22371},"But with the advent of Hadoop and other big data frameworks and the rise of data science, data now needs to be machine-scale and not human-scale. The types of data, and the size, scale, and utility of data is very different if a human is going to use it versus if a machine is going to use it.",{"type":20,"tag":21,"props":22373,"children":22374},{},[22375],{"type":25,"value":22376},"The ecosystem has really grown up to solve the human-scale data problem, but we don't see a lot of people that are solving the machine-scale data problem. That's really where we fit in.",{"type":20,"tag":223,"props":22378,"children":22380},{"id":22379},"what-type-of-company-can-benefit-from-using-narrative",[22381],{"type":25,"value":22291},{"type":20,"tag":21,"props":22383,"children":22384},{},[22385,22389],{"type":20,"tag":33,"props":22386,"children":22387},{},[22388],{"type":25,"value":21723},{"type":25,"value":22390}," Is there any specific application that enterprises are adopting today that you're drafting behind, that they have to have this for them to clearly leverage what Narrative has to offer?",{"type":20,"tag":21,"props":22392,"children":22393},{},[22394,22398],{"type":20,"tag":33,"props":22395,"children":22396},{},[22397],{"type":25,"value":21740},{"type":25,"value":22399}," We find that organizations that have data science, data engineering, or data product teams, are great candidates for us. Almost all of our customers operate a data lake, or a data warehouse, by which they are using the data. Oftentimes, they are taking data from the buy side of our platform and pushing it into those systems.",{"type":20,"tag":21,"props":22401,"children":22402},{},[22403],{"type":25,"value":22404},"Customers that have CDPs and DMPs and DSPs and all of the other things are also potential candidates, but they really do have to be data savvy. We find that if our customers are looking for an off-the-shelf, easy-button solution, that tends to not be us. We work with more sophisticated organizations that are really trying to upgrade their data strategy overall.",{"type":20,"tag":223,"props":22406,"children":22408},{"id":22407},"whats-the-difference-between-the-software-and-marketplace-aspects-of-the-product",[22409],{"type":25,"value":22300},{"type":20,"tag":21,"props":22411,"children":22412},{},[22413,22417],{"type":20,"tag":33,"props":22414,"children":22415},{},[22416],{"type":25,"value":21723},{"type":25,"value":22418}," The core of your platform is a marketplace. You've got a buy side that wants to leverage the data for targeting, analytics, or predictive modeling purposes. Then, you've got the sell side that has the data that can inform whatever the buyers are going to do with the data. How do you think about the marketplace versus the software side of your business?",{"type":20,"tag":21,"props":22420,"children":22421},{},[22422,22426],{"type":20,"tag":33,"props":22423,"children":22424},{},[22425],{"type":25,"value":21740},{"type":25,"value":22427}," If you would have talked to me three years ago about this, I probably would have used the term marketplace a hundred times in the three questions that you've asked. Really, that does sit at the center of our offering. It provides instant liquidity to the buy side and the sell side.",{"type":20,"tag":21,"props":22429,"children":22430},{},[22431],{"type":25,"value":22432},"But we've had customers on both sides come to us and say, \"We've done a bunch of direct deals, or we plan to do a bunch of direct deals, where we don't need your marketplace, but we still need the tools to manage, optimize, report on, and be compliant on those same deals. Can we use your tools? Can we use your services? Can we use your pipes to do that?\" So we started building a bunch of things around the marketplace to make that whole process easier.",{"type":20,"tag":21,"props":22434,"children":22435},{},[22436],{"type":25,"value":22437},"You can think of the marketplace as optionally where the rubber meets the road. That's where buying and selling happen, but you can also do deals outside of our marketplace that still flow through our platform.",{"type":20,"tag":21,"props":22439,"children":22440},{},[22441],{"type":25,"value":22442},"If you're a procurement team that needs someone to fill out a data security questionnaire, instead of sending them a PDF and then someone filling it out and faxing it back to you, we'll give you a workflow where you can ask the questions you need from a compliance perspective within our software.",{"type":20,"tag":21,"props":22444,"children":22445},{},[22446,22448,22455],{"type":25,"value":22447},"If you're a ",{"type":20,"tag":44,"props":22449,"children":22452},{"href":22450,"rel":22451},"https://www.narrative.io/roles/sales",[538],[22453],{"type":25,"value":22454},"seller",{"type":25,"value":22456}," that's trying to optimally price what your data is worth, we have pricing and yield optimization tools that you can use before you put data into the marketplace.",{"type":20,"tag":21,"props":22458,"children":22459},{},[22460],{"type":25,"value":22461},"If you're a finance team and you just want to see how much money you made last month, and what you're forecasted to make this month, we have tools for the finance team to do that. And then we'll take your actual revenue and push it into your backend systems.",{"type":20,"tag":21,"props":22463,"children":22464},{},[22465,22467,22473,22474,22480],{"type":25,"value":22466},"People are really thinking of the SaaS side of our offering as their platform of record for ",{"type":20,"tag":44,"props":22468,"children":22470},{"href":772,"rel":22469},[538],[22471],{"type":25,"value":22472},"acquisition",{"type":25,"value":160},{"type":20,"tag":44,"props":22475,"children":22477},{"href":772,"rel":22476},[538],[22478],{"type":25,"value":22479},"monetization",{"type":25,"value":191},{"type":20,"tag":21,"props":22482,"children":22483},{},[22484],{"type":20,"tag":33,"props":22485,"children":22486},{},[22487,22489,22493],{"type":25,"value":22488},"If you want to learn how Narrative's solutions can help your company simplify their data acquisition and monetization strategy, ",{"type":20,"tag":44,"props":22490,"children":22491},{"href":180},[22492],{"type":25,"value":21888},{"type":25,"value":21890},{"type":20,"tag":21892,"props":22495,"children":22496},{},[],{"type":20,"tag":21,"props":22498,"children":22499},{},[22500,22501,22506,22508,22512],{"type":25,"value":5653},{"type":20,"tag":44,"props":22502,"children":22503},{"href":21620},[22504],{"type":25,"value":22505},"Read part two",{"type":25,"value":22507}," of Narrative 101 to discover how companies are using Narrative to power their data strategies, and ",{"type":20,"tag":44,"props":22509,"children":22510},{"href":21908},[22511],{"type":25,"value":21911},{"type":25,"value":22513}," to learn about Narrative's plans for the future.",{"title":8,"searchDepth":193,"depth":193,"links":22515},[22516,22517,22518,22519,22520],{"id":22234,"depth":380,"text":22237},{"id":22308,"depth":380,"text":22273},{"id":22331,"depth":380,"text":22282},{"id":22379,"depth":380,"text":22291},{"id":22407,"depth":380,"text":22300},"content:blog:narrative-101-what-is-narrative.md","blog/narrative-101-what-is-narrative.md","blog/narrative-101-what-is-narrative",{"loc":21664},{"_path":22526,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":22527,"description":22528,"publishDate":22529,"author":1927,"ogImage":22530,"image":22530,"tags":22531,"authorSlug":1932,"body":22532,"_type":195,"_id":22871,"_source":197,"_file":22872,"_stem":22873,"_extension":200,"sitemap":22874},"/blog/narrative-anywhere-part-1","Narrative Anywhere Part 1 – The Challenges of Data Movement and Storage in Modern Organizations","Data movement introduces security risks, compliance challenges, and operational inefficiencies—yet businesses still rely on it for collaboration. This article explores why minimizing data movement is crucial and how Narrative Anywhere enables secure, efficient, and compliant data collaboration.","2025-03-13T10:43:33.000Z","/img/blog/2025/03/NA-pt1.png",[1262,1263,1264],{"type":17,"children":22533,"toc":22862},[22534,22543,22548,22560,22593,22598,22603,22612,22617,22626,22638,22671,22680,22692,22725,22734,22739,22772,22781,22799,22804,22837,22849],{"type":20,"tag":1495,"props":22535,"children":22537},{"id":22536},"the-growing-problem-of-data-complexity",[22538],{"type":20,"tag":33,"props":22539,"children":22540},{},[22541],{"type":25,"value":22542},"The Growing Problem of Data Complexity",{"type":20,"tag":21,"props":22544,"children":22545},{},[22546],{"type":25,"value":22547},"Organizations today are generating and collecting more data than ever before. From customer interactions and operational metrics to supplier information and third-party datasets, the sheer volume, variety, and velocity of data make management increasingly complex. However, data is only valuable if it can be accessed, analyzed, and leveraged for decision-making.",{"type":20,"tag":21,"props":22549,"children":22550},{},[22551,22553,22558],{"type":25,"value":22552},"To harness the power of data, businesses need to collaborate—internally across departments and externally with partners, vendors, and platforms. But this often requires ",{"type":20,"tag":33,"props":22554,"children":22555},{},[22556],{"type":25,"value":22557},"moving data",{"type":25,"value":22559}," across different environments, a process that introduces numerous obstacles:",{"type":20,"tag":903,"props":22561,"children":22562},{},[22563,22573,22583],{"type":20,"tag":907,"props":22564,"children":22565},{},[22566,22571],{"type":20,"tag":33,"props":22567,"children":22568},{},[22569],{"type":25,"value":22570},"Security risks",{"type":25,"value":22572}," due to increased exposure and potential breaches.",{"type":20,"tag":907,"props":22574,"children":22575},{},[22576,22581],{"type":20,"tag":33,"props":22577,"children":22578},{},[22579],{"type":25,"value":22580},"Compliance challenges",{"type":25,"value":22582}," with regional and industry-specific regulations.",{"type":20,"tag":907,"props":22584,"children":22585},{},[22586,22591],{"type":20,"tag":33,"props":22587,"children":22588},{},[22589],{"type":25,"value":22590},"Operational inefficiencies",{"type":25,"value":22592}," caused by redundant data transfers, duplication, and storage costs.",{"type":20,"tag":21,"props":22594,"children":22595},{},[22596],{"type":25,"value":22597},"These issues are only exacerbated by the growing reliance on cloud-based infrastructure, third-party platforms, and the need for real-time data access. Despite advancements in data architecture, many organizations still struggle with data silos, security vulnerabilities, and compliance burdens.",{"type":20,"tag":21,"props":22599,"children":22600},{},[22601],{"type":25,"value":22602},"So, why do businesses keep moving data if it's so problematic? The simple answer is that, traditionally, moving data was the only way to enable collaboration. But today, a new approach is emerging—one that allows organizations to work with their data in place.",{"type":20,"tag":1495,"props":22604,"children":22606},{"id":22605},"the-hidden-costs-of-data-movement",[22607],{"type":20,"tag":33,"props":22608,"children":22609},{},[22610],{"type":25,"value":22611},"The Hidden Costs of Data Movement",{"type":20,"tag":21,"props":22613,"children":22614},{},[22615],{"type":25,"value":22616},"Moving data is not just an operational hassle—it carries financial, security, and regulatory costs that can severely impact an organization's efficiency and bottom line.",{"type":20,"tag":223,"props":22618,"children":22620},{"id":22619},"_1-security-risks-of-data-transfers",[22621],{"type":20,"tag":33,"props":22622,"children":22623},{},[22624],{"type":25,"value":22625},"1. Security Risks of Data Transfers",{"type":20,"tag":21,"props":22627,"children":22628},{},[22629,22631,22636],{"type":25,"value":22630},"Every time data moves—from one system to another, from one organization to a partner, or even from a storage environment to an analytics tool—it is exposed to ",{"type":20,"tag":33,"props":22632,"children":22633},{},[22634],{"type":25,"value":22635},"potential security threats",{"type":25,"value":22637},". These include:",{"type":20,"tag":903,"props":22639,"children":22640},{},[22641,22651,22661],{"type":20,"tag":907,"props":22642,"children":22643},{},[22644,22649],{"type":20,"tag":33,"props":22645,"children":22646},{},[22647],{"type":25,"value":22648},"Unauthorized access",{"type":25,"value":22650}," – The more systems data moves through, the more opportunities there are for breaches.",{"type":20,"tag":907,"props":22652,"children":22653},{},[22654,22659],{"type":20,"tag":33,"props":22655,"children":22656},{},[22657],{"type":25,"value":22658},"Data leakage",{"type":25,"value":22660}," – Accidental exposure of sensitive data during transfers can result in compliance violations and reputational damage.",{"type":20,"tag":907,"props":22662,"children":22663},{},[22664,22669],{"type":20,"tag":33,"props":22665,"children":22666},{},[22667],{"type":25,"value":22668},"Increased attack surface",{"type":25,"value":22670}," – Each system storing or processing transferred data becomes a potential attack vector for cyber threats.",{"type":20,"tag":223,"props":22672,"children":22674},{"id":22673},"_2-compliance-complexities-and-regulatory-risks",[22675],{"type":20,"tag":33,"props":22676,"children":22677},{},[22678],{"type":25,"value":22679},"2. Compliance Complexities and Regulatory Risks",{"type":20,"tag":21,"props":22681,"children":22682},{},[22683,22685,22690],{"type":25,"value":22684},"Global regulations like ",{"type":20,"tag":33,"props":22686,"children":22687},{},[22688],{"type":25,"value":22689},"GDPR (General Data Protection Regulation), CCPA (California Consumer Privacy Act), and HIPAA",{"type":25,"value":22691}," impose strict rules on how organizations store, process, and share data. Moving data across regions or sharing it with third parties introduces risks such as:",{"type":20,"tag":903,"props":22693,"children":22694},{},[22695,22705,22715],{"type":20,"tag":907,"props":22696,"children":22697},{},[22698,22703],{"type":20,"tag":33,"props":22699,"children":22700},{},[22701],{"type":25,"value":22702},"Data residency conflicts",{"type":25,"value":22704}," – Many regulations require that personal data remain within a specific jurisdiction, making cross-border data movement challenging.",{"type":20,"tag":907,"props":22706,"children":22707},{},[22708,22713],{"type":20,"tag":33,"props":22709,"children":22710},{},[22711],{"type":25,"value":22712},"Consent management challenges",{"type":25,"value":22714}," – Transferring data to new environments may require fresh consent from users, which is often difficult to track.",{"type":20,"tag":907,"props":22716,"children":22717},{},[22718,22723],{"type":20,"tag":33,"props":22719,"children":22720},{},[22721],{"type":25,"value":22722},"Increased audit complexity",{"type":25,"value":22724}," – Organizations must document every movement of data, making compliance audits more demanding.",{"type":20,"tag":223,"props":22726,"children":22728},{"id":22727},"_3-operational-inefficiencies-and-cost-burdens",[22729],{"type":20,"tag":33,"props":22730,"children":22731},{},[22732],{"type":25,"value":22733},"3. 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Companies that regularly move and duplicate data face:",{"type":20,"tag":903,"props":22740,"children":22741},{},[22742,22752,22762],{"type":20,"tag":907,"props":22743,"children":22744},{},[22745,22750],{"type":20,"tag":33,"props":22746,"children":22747},{},[22748],{"type":25,"value":22749},"Higher storage costs",{"type":25,"value":22751}," – Maintaining multiple copies of datasets across different environments increases infrastructure expenses.",{"type":20,"tag":907,"props":22753,"children":22754},{},[22755,22760],{"type":20,"tag":33,"props":22756,"children":22757},{},[22758],{"type":25,"value":22759},"Version control issues",{"type":25,"value":22761}," – Data inconsistencies arise when different teams work with outdated copies of the same dataset.",{"type":20,"tag":907,"props":22763,"children":22764},{},[22765,22770],{"type":20,"tag":33,"props":22766,"children":22767},{},[22768],{"type":25,"value":22769},"Engineering overhead",{"type":25,"value":22771}," – IT and data engineering teams must continuously manage data pipelines, adding complexity and workload.",{"type":20,"tag":1495,"props":22773,"children":22775},{"id":22774},"a-better-way-keeping-data-in-place-with-narrative-anywhere",[22776],{"type":20,"tag":33,"props":22777,"children":22778},{},[22779],{"type":25,"value":22780},"A Better Way: Keeping Data in Place with Narrative Anywhere",{"type":20,"tag":21,"props":22782,"children":22783},{},[22784,22786,22791,22793,22797],{"type":25,"value":22785},"To address these challenges, businesses are shifting towards ",{"type":20,"tag":33,"props":22787,"children":22788},{},[22789],{"type":25,"value":22790},"minimizing data movement",{"type":25,"value":22792}," while still enabling collaboration. ",{"type":20,"tag":33,"props":22794,"children":22795},{},[22796],{"type":25,"value":3175},{"type":25,"value":22798}," provides a solution by allowing organizations to work with data where it already exists.",{"type":20,"tag":21,"props":22800,"children":22801},{},[22802],{"type":25,"value":22803},"Instead of moving or duplicating data, Narrative Anywhere enables:",{"type":20,"tag":903,"props":22805,"children":22806},{},[22807,22817,22827],{"type":20,"tag":907,"props":22808,"children":22809},{},[22810,22815],{"type":20,"tag":33,"props":22811,"children":22812},{},[22813],{"type":25,"value":22814},"Secure collaboration",{"type":25,"value":22816}," – Work with internal and external teams while keeping data within your existing environment.",{"type":20,"tag":907,"props":22818,"children":22819},{},[22820,22825],{"type":20,"tag":33,"props":22821,"children":22822},{},[22823],{"type":25,"value":22824},"Regulatory compliance",{"type":25,"value":22826}," – Maintain data residency and sovereignty without worrying about transfers.",{"type":20,"tag":907,"props":22828,"children":22829},{},[22830,22835],{"type":20,"tag":33,"props":22831,"children":22832},{},[22833],{"type":25,"value":22834},"Operational efficiency",{"type":25,"value":22836}," – Reduce engineering workload and infrastructure costs by eliminating redundant data movement.",{"type":20,"tag":21,"props":22838,"children":22839},{},[22840,22842,22847],{"type":25,"value":22841},"By leveraging Narrative Anywhere, organizations can ",{"type":20,"tag":33,"props":22843,"children":22844},{},[22845],{"type":25,"value":22846},"enhance data collaboration without compromising security, compliance, or efficiency",{"type":25,"value":22848},". In the next article, we’ll explore how this approach directly addresses common data collaboration challenges.",{"type":20,"tag":21,"props":22850,"children":22851},{},[22852,22853],{"type":25,"value":11516},{"type":20,"tag":44,"props":22854,"children":22856},{"href":2150,"rel":22855},[538],[22857,22861],{"type":20,"tag":33,"props":22858,"children":22859},{},[22860],{"type":25,"value":21289},{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":22863},[22864,22865,22870],{"id":22536,"depth":193,"text":22542},{"id":22605,"depth":193,"text":22611,"children":22866},[22867,22868,22869],{"id":22619,"depth":380,"text":22625},{"id":22673,"depth":380,"text":22679},{"id":22727,"depth":380,"text":22733},{"id":22774,"depth":193,"text":22780},"content:blog:narrative-anywhere-part-1.md","blog/narrative-anywhere-part-1.md","blog/narrative-anywhere-part-1",{"loc":22526},{"_path":22876,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":22877,"description":22878,"publishDate":22879,"author":1927,"ogImage":22880,"image":22880,"tags":22881,"authorSlug":1932,"body":22882,"_type":195,"_id":23298,"_source":197,"_file":23299,"_stem":23300,"_extension":200,"sitemap":23301},"/blog/narrative-anywhere-part-2","Narrative Anywhere Part 2 – Solving Data Collaboration Challenges Without Moving Data","Businesses need to collaborate on data, but traditional methods require moving it—creating security, compliance, and cost challenges. Narrative Anywhere eliminates this tradeoff, enabling seamless data collaboration without movement. Discover how you can unlock new opportunities while keeping data secure and in place.","2025-03-20T11:13:33.000Z","img/blog/2025/03/NA-pt1.png",[1262,1263,1264],{"type":17,"children":22883,"toc":23288},[22884,22893,22898,22910,22943,22955,22964,22973,22978,23011,23028,23037,23042,23075,23094,23103,23121,23144,23156,23165,23170,23197,23209,23218,23235,23268,23276],{"type":20,"tag":1495,"props":22885,"children":22887},{"id":22886},"the-data-collaboration-paradox",[22888],{"type":20,"tag":33,"props":22889,"children":22890},{},[22891],{"type":25,"value":22892},"The Data Collaboration Paradox",{"type":20,"tag":21,"props":22894,"children":22895},{},[22896],{"type":25,"value":22897},"Collaboration is at the heart of modern business. Marketing teams need to share customer segments with advertising platforms, data teams need to provide insights to business units, and enterprises must collaborate with suppliers and partners.",{"type":20,"tag":21,"props":22899,"children":22900},{},[22901,22903,22908],{"type":25,"value":22902},"Traditionally, enabling these workflows required ",{"type":20,"tag":33,"props":22904,"children":22905},{},[22906],{"type":25,"value":22907},"exporting, sharing, or transferring data",{"type":25,"value":22909}," to a third-party platform, a Customer Data Platform (CDP), or a data cleanroom. However, each of these approaches introduces risks:",{"type":20,"tag":903,"props":22911,"children":22912},{},[22913,22923,22933],{"type":20,"tag":907,"props":22914,"children":22915},{},[22916,22921],{"type":20,"tag":33,"props":22917,"children":22918},{},[22919],{"type":25,"value":22920},"CDPs require data centralization",{"type":25,"value":22922},", which can create silos and increase storage costs.",{"type":20,"tag":907,"props":22924,"children":22925},{},[22926,22931],{"type":20,"tag":33,"props":22927,"children":22928},{},[22929],{"type":25,"value":22930},"Shared data planes expose data to security vulnerabilities",{"type":25,"value":22932}," and compliance risks.",{"type":20,"tag":907,"props":22934,"children":22935},{},[22936,22941],{"type":20,"tag":33,"props":22937,"children":22938},{},[22939],{"type":25,"value":22940},"Data cleanrooms require trust in a third party",{"type":25,"value":22942}," and can limit transparency.",{"type":20,"tag":21,"props":22944,"children":22945},{},[22946,22948,22953],{"type":25,"value":22947},"Organizations face a difficult choice: ",{"type":20,"tag":33,"props":22949,"children":22950},{},[22951],{"type":25,"value":22952},"move data and introduce risk or restrict collaboration and limit business potential",{"type":25,"value":22954},". But what if there were a way to collaborate on data without actually moving it?",{"type":20,"tag":1495,"props":22956,"children":22958},{"id":22957},"how-narrative-enables-secure-data-collaboration-without-data-movement",[22959],{"type":20,"tag":33,"props":22960,"children":22961},{},[22962],{"type":25,"value":22963},"How Narrative Enables Secure Data Collaboration Without Data Movement",{"type":20,"tag":223,"props":22965,"children":22967},{"id":22966},"_1-build-audience-segments-without-a-cdp-or-engineering-support",[22968],{"type":20,"tag":33,"props":22969,"children":22970},{},[22971],{"type":25,"value":22972},"1. Build Audience Segments Without a CDP or Engineering Support",{"type":20,"tag":21,"props":22974,"children":22975},{},[22976],{"type":25,"value":22977},"Many businesses rely on CDPs to centralize customer data for segmentation. 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Rosetta Stone’s AI-driven schema harmonization offers a scalable solution that enables seamless data collaboration across platforms, empowering businesses to unlock new opportunities and remain flexibl.","2024-10-15 10:10:00","/img/blog/2024/10/rosetta-stone-4.png",[1262,1263,1264],{"type":17,"children":24185,"toc":24282},[24186,24197,24214,24223,24228,24233,24266],{"type":20,"tag":21,"props":24187,"children":24188},{},[24189,24191,24195],{"type":25,"value":24190},"Data interoperability is no longer optional – it is a requirement for businesses to stay competitive. The ability to integrate data seamlessly across various platforms and tools is becoming a critical component of successful business strategies. 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By converging the strengths of a leading data collaboration platform, a powerhouse in Data Cloud technology, and a giant in digital media campaigns, this alliance is set to redefine the paradigms of media and data collaboration.",{"type":20,"tag":223,"props":24347,"children":24349},{"id":24348},"pioneering-a-seamless-data-ecosystem",[24350],{"type":25,"value":24351},"Pioneering a Seamless Data Ecosystem",{"type":20,"tag":21,"props":24353,"children":24354},{},[24355],{"type":25,"value":24356},"For too long, the data journey from providers to digital media platforms has been fraught with complexities, inefficiencies, and soaring costs. 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The playing field is being leveled, and the doors to innovative digital advertising are wide open for all.",{"type":20,"tag":223,"props":24385,"children":24387},{"id":24386},"catalyzing-responsible-data-usage",[24388],{"type":25,"value":24389},"Catalyzing Responsible Data Usage",{"type":20,"tag":21,"props":24391,"children":24392},{},[24393],{"type":25,"value":24394},"In an era where privacy concerns are at an all-time high, this partnership is a beacon of responsible data usage. The integration ensures that offline data can be matched with Unified ID 2.0 tokens, all while rigorously protecting consumers' personally identifiable information. This commitment to privacy compliance ensures that businesses can leverage the full power of their data without compromising on their ethical responsibilities towards their customers.",{"type":20,"tag":223,"props":24396,"children":24398},{"id":24397},"redefining-monetization-and-accessibility",[24399],{"type":25,"value":24400},"Redefining Monetization and Accessibility",{"type":20,"tag":21,"props":24402,"children":24403},{},[24404],{"type":25,"value":24405},"For third-party data providers, this collaboration unlocks unprecedented monetization opportunities. The direct pipeline from the Snowflake Marketplace to The Trade Desk streamlines the process by removing the middlemen. This ensures that providers can seamlessly surface their data for use in digital media campaigns, thereby significantly enhancing the return on investment. This not only enhances the accessibility of high-quality data but also ensures that the entire ecosystem thrives on transparency and efficiency.",{"type":20,"tag":223,"props":24407,"children":24409},{"id":24408},"empowering-businesses-with-data-democracy",[24410],{"type":25,"value":24411},"Empowering Businesses with Data Democracy",{"type":20,"tag":21,"props":24413,"children":24414},{},[24415],{"type":25,"value":24416},"The future of digital advertising and data collaboration is bright, with the partnership paving the way for a new era of data democracy. Businesses, regardless of their scale, can now access and leverage data in ways that were previously unimaginable. 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The Rosetta Taxonomy Builder is a cutting-edge tool designed to simplify the process of organizing and managing datasets in The Trade Desk Connector. Leveraging advanced AI models, this feature automates the creation of structured taxonomies, saving time and reducing the complexity of manual data organization.",{"type":20,"tag":223,"props":24470,"children":24472},{"id":24471},"what-is-the-rosetta-taxonomy-builder",[24473],{"type":25,"value":24474},"What is the Rosetta Taxonomy Builder?",{"type":20,"tag":21,"props":24476,"children":24477},{},[24478],{"type":25,"value":24479},"The Rosetta Taxonomy Builder is a powerful solution that transforms how users create and manage taxonomies. Whether you're working with a fresh set of datasets or looking to expand an existing taxonomy, this tool provides an intuitive and efficient way to organize data using AI. It automates the structuring of datasets into well-defined folders, making the management of large datasets both simple and fast. In just a few clicks, you can go from a chaotic collection of data to an organized, actionable taxonomy, giving you more time to focus on the insights that matter most.",{"type":20,"tag":223,"props":24481,"children":24483},{"id":24482},"how-the-rosetta-taxonomy-builder-empowers-you",[24484],{"type":25,"value":24485},"How the Rosetta Taxonomy Builder Empowers You",{"type":20,"tag":21,"props":24487,"children":24488},{},[24489],{"type":25,"value":24490},"The Rosetta Taxonomy Builder puts the power of AI at your fingertips, revolutionizing the way you manage and structure your data. With just a few clicks, you can seamlessly organize vast datasets into structured taxonomies, eliminating the tedious manual work that traditionally goes into data management. Here's what makes it so powerful:",{"type":20,"tag":903,"props":24492,"children":24493},{},[24494,24504,24514],{"type":20,"tag":907,"props":24495,"children":24496},{},[24497,24502],{"type":20,"tag":33,"props":24498,"children":24499},{},[24500],{"type":25,"value":24501},"Effortless Taxonomy Creation:",{"type":25,"value":24503}," Whether you're starting from scratch or expanding an existing system, the Rosetta Taxonomy Builder generates a clean, intuitive structure for your datasets in seconds. No more wrestling with folder hierarchies—Rosetta does it for you.",{"type":20,"tag":907,"props":24505,"children":24506},{},[24507,24512],{"type":20,"tag":33,"props":24508,"children":24509},{},[24510],{"type":25,"value":24511},"Smart Dataset Organization:",{"type":25,"value":24513}," As your data grows, so does your taxonomy. Rosetta intelligently categorizes new datasets into existing or new sections, ensuring your data always stays organized and accessible, no matter how large it gets. 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By harnessing the AI power behind Rosetta, you can move from data chaos to clarity in moments, making it easier to unlock actionable insights from your datasets.",{"type":20,"tag":223,"props":24536,"children":24538},{"id":24537},"built-for-scale-and-flexibility",[24539],{"type":25,"value":24540},"Built for Scale and Flexibility",{"type":20,"tag":21,"props":24542,"children":24543},{},[24544],{"type":25,"value":24545},"The Rosetta Taxonomy Builder is built to scale with your business. Whether you're dealing with hundreds or thousands of datasets, Rosetta adapts to your needs. The flexibility to expand existing taxonomies, combined with the ability to generate new ones from scratch, means that no matter how complex your data management needs are, Rosetta has you covered. 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",{"type":20,"tag":44,"props":25627,"children":25629},{"href":21285,"rel":25628},[538],[25630],{"type":25,"value":21289},{"type":25,"value":25632}," to see how Narrative can streamline your audience activation.",{"title":8,"searchDepth":193,"depth":193,"links":25634},[25635,25636,25637,25638],{"id":4212,"depth":193,"text":21155},{"id":21178,"depth":193,"text":21181},{"id":11727,"depth":193,"text":11730},{"id":21256,"depth":193,"text":21259},"content:blog:pinterest-connector.md","blog/pinterest-connector.md","blog/pinterest-connector",{"loc":25484},{"_path":8421,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":25644,"description":25645,"publishDate":25646,"author":3094,"ogImage":25647,"image":25647,"tags":25648,"authorSlug":3099,"body":25649,"_type":195,"_id":25961,"_source":197,"_file":25962,"_stem":25963,"_extension":200,"sitemap":25964},"Third-party data isn't dead, you're just using it wrong","Third-party data is often seen as less precise than first-party data, but it doesn't have to be.","2019-10-01 14:10:00","/img/blog/2019/10/pixelated-customer-BLOG.jpg",[4365,21626],{"type":17,"children":25650,"toc":25954},[25651,25668,25674,25679,25684,25707,25712,25717,25723,25728,25733,25741,25746,25754,25760,25765,25773,25778,25783,25788,25796,25810,25815,25820,25826,25831,25836,25841,25849,25854,25862,25867,25875,25880,25885,25893,25898,25904,25909,25914,25919,25924,25937,25942],{"type":20,"tag":7566,"props":25652,"children":25653},{},[25654],{"type":20,"tag":21,"props":25655,"children":25656},{},[25657,25661,25662,25667],{"type":20,"tag":33,"props":25658,"children":25659},{},[25660],{"type":25,"value":7576},{"type":25,"value":7578},{"type":20,"tag":44,"props":25663,"children":25665},{"href":772,"rel":25664},[538],[25666],{"type":25,"value":7584},{"type":25,"value":191},{"type":20,"tag":223,"props":25669,"children":25671},{"id":25670},"how-to-use-third-party-data-to-bring-focus-to-who-your-customers-actually-are",[25672],{"type":25,"value":25673},"How to use third-party data to bring focus to who your customers actually are",{"type":20,"tag":21,"props":25675,"children":25676},{},[25677],{"type":25,"value":25678},"Understanding your customer is paramount to any successful growth strategy, and data acts as the building blocks for doing so.",{"type":20,"tag":21,"props":25680,"children":25681},{},[25682],{"type":25,"value":25683},"Those blocks come in two forms: first-party data and third-party data.",{"type":20,"tag":903,"props":25685,"children":25686},{},[25687,25697],{"type":20,"tag":907,"props":25688,"children":25689},{},[25690,25695],{"type":20,"tag":33,"props":25691,"children":25692},{},[25693],{"type":25,"value":25694},"First-party data",{"type":25,"value":25696}," is the data you own. You can generally trust it to be correct because you collected it, but there is usually never enough of it.",{"type":20,"tag":907,"props":25698,"children":25699},{},[25700,25705],{"type":20,"tag":33,"props":25701,"children":25702},{},[25703],{"type":25,"value":25704},"Third-party data",{"type":25,"value":25706}," is data that was collected outside of your organization. It can be used to help fill in the gaps in your own data.",{"type":20,"tag":21,"props":25708,"children":25709},{},[25710],{"type":25,"value":25711},"I often hear people assert that first-party data is high quality and third-party data is crap. It’s an opinion that is rooted in some historical truth, but there is nothing inherently crappy about third-party data. Instead, it relates to how third-party data has been packaged for consumption.",{"type":20,"tag":21,"props":25713,"children":25714},{},[25715],{"type":25,"value":25716},"Ideally, we could eliminate any preconceived notions we had about data so we can better grasp its strengths and weaknesses. But with data being such a nebulous concept, that can be hard to do. So instead, let's talk about data in the context of pixels in an image: If you are trying to build a better picture of your customers, more pixels means a higher resolution image.",{"type":20,"tag":223,"props":25718,"children":25720},{"id":25719},"first-party-data-is-precise-but-rarely-sufficient",[25721],{"type":25,"value":25722},"First-party data is precise, but rarely sufficient",{"type":20,"tag":21,"props":25724,"children":25725},{},[25726],{"type":25,"value":25727},"Let's start with first-party data. First-party data is information you collect directly from your customers, like transactions made with your business, actions made on your app or website, details collected from registrations and surveys, and the like.",{"type":20,"tag":21,"props":25729,"children":25730},{},[25731],{"type":25,"value":25732},"We can think of each of these pieces of information as pixels of a different color, like this:",{"type":20,"tag":21,"props":25734,"children":25735},{},[25736],{"type":20,"tag":1630,"props":25737,"children":25740},{"alt":25738,"src":25739},"First party data are pieces of information you collect about your audience directly, such as age, gender, location, last website visit, or last tweet.","https://images.ctfassets.net/kelnhsdbpwjk/6E7888w8M1oBbF91WkLamC/158bafd9a41003532d647c48f0981436/The_Pixelated_Customer_Problem_Slide_5.svg",[],{"type":20,"tag":21,"props":25742,"children":25743},{},[25744],{"type":25,"value":25745},"When assembling all of our first party data we start to get an image of who our target customer is. In a perfect world, a brand would have enough first-party data to build a high-resolution picture of their customers, but that is almost never the case. Instead, what the brand gets looks more akin to an 8-bit character from an 80’s video game.",{"type":20,"tag":21,"props":25747,"children":25748},{},[25749],{"type":20,"tag":1630,"props":25750,"children":25753},{"alt":25751,"src":25752},"With your first-party data, you can start to understand who your customers are, but at best it's only 8-bit resolution.","https://images.ctfassets.net/kelnhsdbpwjk/6F9TZnXv8uAqPzVaOqlVLY/7b1d4b600a986ef0e1c3999483d51361/The_Pixelated_Customer_Problem_Slide_6.svg",[],{"type":20,"tag":223,"props":25755,"children":25757},{"id":25756},"third-party-data-provides-additional-information-but-often-at-the-expense-of-precision",[25758],{"type":25,"value":25759},"Third-party data provides additional information, but often at the expense of precision",{"type":20,"tag":21,"props":25761,"children":25762},{},[25763],{"type":25,"value":25764},"Now let's look at third-party data as it has been thought about traditionally. It shares some similarities with first-party data insofar that it encodes information about the user, but the similarities stop there.",{"type":20,"tag":21,"props":25766,"children":25767},{},[25768],{"type":20,"tag":1630,"props":25769,"children":25772},{"alt":25770,"src":25771},"Third-party data is often sold as segments, such as business traveler or wine drinker, but can also be things like location data or demographic data.","https://images.ctfassets.net/kelnhsdbpwjk/5vfAeMdJiDiTjPM01bQ8KT/2661fad89105c8bbd93e16ecb0319ac1/The_Pixelated_Customer_Problem_Slide_7.svg",[],{"type":20,"tag":21,"props":25774,"children":25775},{},[25776],{"type":25,"value":25777},"In our rendering of third-party data, notice that the pixels are much larger than the first-party data pixels. That is because third-party data is typically not nearly as precise as first-party data can be.",{"type":20,"tag":21,"props":25779,"children":25780},{},[25781],{"type":25,"value":25782},"You’ll also notice that some third-party data disagrees with itself, which is related to the precision, but also a side effect of the way that third-party data is typically sold. (More on that later.)",{"type":20,"tag":21,"props":25784,"children":25785},{},[25786],{"type":25,"value":25787},"When you mix imprecise and often incorrect third-party data with first party data, you don’t create a sharper picture. Instead, you create an image that an impressionist painter might be proud of, but that does nothing in helping you understand your customer.",{"type":20,"tag":21,"props":25789,"children":25790},{},[25791],{"type":20,"tag":1630,"props":25792,"children":25795},{"alt":25793,"src":25794},"When you start to combine first- and third-party data, you don't end up with a clearer picture, you end up with a mess.","https://images.ctfassets.net/kelnhsdbpwjk/7KaEc8ArHH2ZlbKcTzy4Gy/b32ea2db0b31e2220a28904f2df280e5/The_Pixelated_Customer_Problem_Slide_8.svg",[],{"type":20,"tag":21,"props":25797,"children":25798},{},[25799,25801,25808],{"type":25,"value":25800},"One might argue that we’re done here. Case closed. Let’s just stop using third party data. In fact we’ve seen this ",{"type":20,"tag":44,"props":25802,"children":25805},{"href":25803,"rel":25804},"https://adexchanger.com/the-sell-sider/third-party-data-is-a-bad-habit-we-need-to-kick/",[538],[25806],{"type":25,"value":25807},"argued",{"type":25,"value":25809}," before.",{"type":20,"tag":21,"props":25811,"children":25812},{},[25813],{"type":25,"value":25814},"I would suggest an alternative. What if, instead of having third-party data look nothing like first-party data, we could bridge the gap and have them take the same form?",{"type":20,"tag":21,"props":25816,"children":25817},{},[25818],{"type":25,"value":25819},"Yeah, I’m saying it can happen.",{"type":20,"tag":223,"props":25821,"children":25823},{"id":25822},"third-party-data-is-less-precise-than-your-own-data-but-it-doesnt-have-to-be",[25824],{"type":25,"value":25825},"Third-party data is less precise than your own data, but it doesn't have to be",{"type":20,"tag":21,"props":25827,"children":25828},{},[25829],{"type":25,"value":25830},"The thing to about third-party data is that, typically, it is non-specific. It is a binary representation of a classification someone has made about a person. Are they a business traveler, yes or no? Do they plan on buying a car, yes or no? Are they passionate about bird watching, yes or no?",{"type":20,"tag":21,"props":25832,"children":25833},{},[25834],{"type":25,"value":25835},"The issue is that each of those questions is somewhat subjective. How often does someone have to travel for business to be a business traveler? When do they plan on buying the car? How does one define passion?",{"type":20,"tag":21,"props":25837,"children":25838},{},[25839],{"type":25,"value":25840},"Returning to our image analogy, the more specific the information that a given pixel can encode, the sharper the picture becomes.",{"type":20,"tag":21,"props":25842,"children":25843},{},[25844],{"type":20,"tag":1630,"props":25845,"children":25848},{"alt":25846,"src":25847},"Pixels representing timestamp, location, latitude and longitude, dwell time, and unique identifier.","https://images.ctfassets.net/kelnhsdbpwjk/7tHWPbyyy5nJo2uhN1eQck/0abcd6cc28c22ee37bb7f3906c7ed95e/The_Pixelated_Customer_Problem_Slide_12.svg",[],{"type":20,"tag":21,"props":25850,"children":25851},{},[25852],{"type":25,"value":25853},"As you can see here, we are no longer trying to use third-party data for the purpose of creating a broad classification. Instead, we are using it to define very specific actions at a snapshot in time. Simply put, we’re making the third-party data represent something more precise, something more akin to the first-party data we represented earlier.",{"type":20,"tag":21,"props":25855,"children":25856},{},[25857],{"type":20,"tag":1630,"props":25858,"children":25861},{"alt":25859,"src":25860},"Pixels representing a behavior on mobile phone, including timestamp, the mobile app, the action made, and a unique identifier.","https://images.ctfassets.net/kelnhsdbpwjk/Ymgl3rphhF5a4un3Odnqb/1900f39ff7c85ff3af7d9f949372e177/The_Pixelated_Customer_Problem_Slide_13.svg",[],{"type":20,"tag":21,"props":25863,"children":25864},{},[25865],{"type":25,"value":25866},"One of the nice things about encoding data this way is that you can have it represent completely disparate behaviors. In the previous example, the data represented a location. Here, it represents a behavior on their mobile phone.",{"type":20,"tag":21,"props":25868,"children":25869},{},[25870],{"type":20,"tag":1630,"props":25871,"children":25874},{"alt":25872,"src":25873},"Pixels representing a browser-based behavior, including timestamp, URL, action taken on the browser, and unique identifier.","https://images.ctfassets.net/kelnhsdbpwjk/2epwqEWvOa5R4RcsleA29v/f6e95ab71fe94afa594db761d9561a70/The_Pixelated_Customer_Problem_Slide_14.svg",[],{"type":20,"tag":21,"props":25876,"children":25877},{},[25878],{"type":25,"value":25879},"And here, a browser-based behavior.",{"type":20,"tag":21,"props":25881,"children":25882},{},[25883],{"type":25,"value":25884},"Now that we’ve created more precise pixels, when assembled we create a higher-resolution picture.",{"type":20,"tag":21,"props":25886,"children":25887},{},[25888],{"type":20,"tag":1630,"props":25889,"children":25892},{"alt":25890,"src":25891},"High resolution profiles enable more effective strategies. Customer acquisition no longer has to be serendipitous. It can now be laser-guided.","https://images.ctfassets.net/kelnhsdbpwjk/2qPFX3QJOj854cPP8YWIV3/7ab1f6d7172a8b9dc208687dfed63870/The_Pixelated_Customer_Problem_Slide_16.svg",[],{"type":20,"tag":21,"props":25894,"children":25895},{},[25896],{"type":25,"value":25897},"Here I am, in all of my glory.",{"type":20,"tag":223,"props":25899,"children":25901},{"id":25900},"a-new-understanding-of-third-party-data-is-needed",[25902],{"type":25,"value":25903},"A new understanding of third-party data is needed",{"type":20,"tag":21,"props":25905,"children":25906},{},[25907],{"type":25,"value":25908},"So why, then, has third-party data gotten such a bad rap? The reason comes down to the way third-party data has traditionally been sold.",{"type":20,"tag":21,"props":25910,"children":25911},{},[25912],{"type":25,"value":25913},"Companies like LiveRamp, Oracle Data Cloud, and Lotame, among others, pay publishers and other data owners for access to their first-party data and then aggregate this data into large data sets that they can sell to others based on target audience characteristics.",{"type":20,"tag":21,"props":25915,"children":25916},{},[25917],{"type":25,"value":25918},"The incentive for these companies is to collect as much data as possible from as many different sources in order to maximize the scope and reach of their audience segments. With data coming from so many sources and no way to verify the original source of any individual data point, the potential for inaccuracy is high.",{"type":20,"tag":21,"props":25920,"children":25921},{},[25922],{"type":25,"value":25923},"Instead of using pre-packaged segments of questionably useful data from unknown sources, brands must be able to access precise data sets from verifiable suppliers. Only then will they be able to build the high-resolution view of their customers needed to generate actionable insights and informed decisions off of third-party data.",{"type":20,"tag":21,"props":25925,"children":25926},{},[25927,25929,25935],{"type":25,"value":25928},"Using the ",{"type":20,"tag":44,"props":25930,"children":25932},{"href":772,"rel":25931},[538],[25933],{"type":25,"value":25934},"Narrative Acquire",{"type":25,"value":25936}," platform, brands can utilize highly customizable filtering options to buy only the exact observations needed, and none they don’t. The platform also provides tools for analyzing dataset overlap, match rates, and truth sets to ensure the data being purchased is accurate and precise.",{"type":20,"tag":21,"props":25938,"children":25939},{},[25940],{"type":25,"value":25941},"In the end, data is going to be an important component of any brand’s strategy going forward. It’s our hope that they start to look at more precise data sets so they can encode a higher resolution composite view of their customers.",{"type":20,"tag":21,"props":25943,"children":25944},{},[25945],{"type":20,"tag":33,"props":25946,"children":25947},{},[25948,25950],{"type":25,"value":25949},"Interested in learning how Narrative Acquire can help you bring focus to who your customers are? ",{"type":20,"tag":44,"props":25951,"children":25952},{"href":180},[25953],{"type":25,"value":8578},{"title":8,"searchDepth":193,"depth":193,"links":25955},[25956,25957,25958,25959,25960],{"id":25670,"depth":380,"text":25673},{"id":25719,"depth":380,"text":25722},{"id":25756,"depth":380,"text":25759},{"id":25822,"depth":380,"text":25825},{"id":25900,"depth":380,"text":25903},"content:blog:precise-third-party-data.md","blog/precise-third-party-data.md","blog/precise-third-party-data",{"loc":8421},{"_path":25966,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":25967,"description":25968,"publishDate":25969,"author":1259,"ogImage":25970,"image":25970,"tags":25971,"authorSlug":1265,"body":25974,"_type":195,"_id":26205,"_source":197,"_file":26206,"_stem":26207,"_extension":200,"sitemap":26208},"/blog/prepare-your-business-for-ai","Is Your Business Ready for AI? Most Aren’t—Here’s How to Get Ahead","91% of top companies are investing in AI, fewer than 25% have a strategy to integrate it effectively. The AI revolution isn’t just about having the latest tools; it’s about being prepared to use them.","2025-01-21T16:13:30.000Z","/img/blog/2025/01/prepare-for-ai.png",[1262,1263,1264,25972,1931,25973],"model studio","AI",{"type":17,"children":25975,"toc":26198},[25976,25981,25990,25995,26000,26010,26019,26024,26066,26071,26080,26085,26118,26127,26139,26172,26181,26186],{"type":20,"tag":21,"props":25977,"children":25978},{},[25979],{"type":25,"value":25980},"Artificial Intelligence (AI) is no longer a distant frontier. It’s here, it’s transformative, and businesses are adopting it at breakneck speed. Yet, a startling gap remains: while 91% of top companies are investing in AI, fewer than 25% have a strategy to integrate it effectively. The AI revolution isn’t just about having the latest tools; it’s about being prepared to use them.",{"type":20,"tag":223,"props":25982,"children":25984},{"id":25983},"ai-is-reshaping-businessfast",[25985],{"type":20,"tag":33,"props":25986,"children":25987},{},[25988],{"type":25,"value":25989},"AI Is Reshaping Business—Fast",{"type":20,"tag":21,"props":25991,"children":25992},{},[25993],{"type":25,"value":25994},"From automating customer service to optimizing supply chains, AI is proving its value across industries. For instance, 60% of global executives report that AI has boosted productivity by reducing repetitive tasks and enabling employees to focus on high-value work. What’s more, businesses implementing AI solutions see an average return on investment (ROI) of 3x within the first two years.",{"type":20,"tag":21,"props":25996,"children":25997},{},[25998],{"type":25,"value":25999},"The adoption curve is steep, with AI spending expected to surpass $300 billion annually by 2030. Companies that hesitate risk falling behind competitors who are already leveraging machine learning, natural language processing, and predictive analytics to gain market advantage.",{"type":20,"tag":21,"props":26001,"children":26002},{},[26003,26005],{"type":25,"value":26004},"Yet despite the enthusiasm, adoption isn’t seamless. Most organizations find themselves unprepared to navigate the complexities of AI integration. In fact, ",{"type":20,"tag":33,"props":26006,"children":26007},{},[26008],{"type":25,"value":26009},"70% of AI projects fail to achieve their goals due to a lack of strategic alignment, data readiness, or skilled personnel.",{"type":20,"tag":223,"props":26011,"children":26013},{"id":26012},"why-organizations-are-struggling",[26014],{"type":20,"tag":33,"props":26015,"children":26016},{},[26017],{"type":25,"value":26018},"Why Organizations Are Struggling",{"type":20,"tag":21,"props":26020,"children":26021},{},[26022],{"type":25,"value":26023},"The hurdles to AI preparedness are substantial but not insurmountable. Common roadblocks include:",{"type":20,"tag":903,"props":26025,"children":26026},{},[26027,26036,26046,26056],{"type":20,"tag":907,"props":26028,"children":26029},{},[26030,26034],{"type":20,"tag":33,"props":26031,"children":26032},{},[26033],{"type":25,"value":25217},{"type":25,"value":26035}," Many companies struggle with fragmented data spread across departments, making it difficult to create a unified AI strategy.",{"type":20,"tag":907,"props":26037,"children":26038},{},[26039,26044],{"type":20,"tag":33,"props":26040,"children":26041},{},[26042],{"type":25,"value":26043},"Technical Barriers:",{"type":25,"value":26045}," Limited expertise in data science and machine learning often leads to over-reliance on external vendors, increasing costs and timelines.",{"type":20,"tag":907,"props":26047,"children":26048},{},[26049,26054],{"type":20,"tag":33,"props":26050,"children":26051},{},[26052],{"type":25,"value":26053},"Cultural Resistance:",{"type":25,"value":26055}," Employees may fear AI will replace their roles, leading to hesitancy in adoption.",{"type":20,"tag":907,"props":26057,"children":26058},{},[26059,26064],{"type":20,"tag":33,"props":26060,"children":26061},{},[26062],{"type":25,"value":26063},"Unrealistic Expectations:",{"type":25,"value":26065}," Organizations often expect immediate results without understanding the iterative nature of AI training and deployment.",{"type":20,"tag":21,"props":26067,"children":26068},{},[26069],{"type":25,"value":26070},"These challenges underscore the need for accessible, scalable tools that empower teams to embrace AI without requiring specialized skills.",{"type":20,"tag":223,"props":26072,"children":26074},{"id":26073},"how-to-prepare-for-the-ai-era",[26075],{"type":20,"tag":33,"props":26076,"children":26077},{},[26078],{"type":25,"value":26079},"How to Prepare for the AI Era",{"type":20,"tag":21,"props":26081,"children":26082},{},[26083],{"type":25,"value":26084},"Businesses that succeed with AI adoption share three key traits:",{"type":20,"tag":903,"props":26086,"children":26087},{},[26088,26098,26108],{"type":20,"tag":907,"props":26089,"children":26090},{},[26091,26096],{"type":20,"tag":33,"props":26092,"children":26093},{},[26094],{"type":25,"value":26095},"Unified Data:",{"type":25,"value":26097}," They invest in platforms that centralize and standardize data, turning raw information into actionable insights.",{"type":20,"tag":907,"props":26099,"children":26100},{},[26101,26106],{"type":20,"tag":33,"props":26102,"children":26103},{},[26104],{"type":25,"value":26105},"Empowered Teams:",{"type":25,"value":26107}," These companies provide user-friendly tools that allow employees at all levels to experiment with and deploy AI solutions.",{"type":20,"tag":907,"props":26109,"children":26110},{},[26111,26116],{"type":20,"tag":33,"props":26112,"children":26113},{},[26114],{"type":25,"value":26115},"Incremental Implementation:",{"type":25,"value":26117}," They adopt a phased approach, starting with pilot projects to build confidence and refine strategies before scaling.",{"type":20,"tag":223,"props":26119,"children":26121},{"id":26120},"narratives-no-code-platform-a-game-changer",[26122],{"type":20,"tag":33,"props":26123,"children":26124},{},[26125],{"type":25,"value":26126},"Narrative’s No-Code Platform: A Game Changer",{"type":20,"tag":21,"props":26128,"children":26129},{},[26130,26132,26137],{"type":25,"value":26131},"At Narrative, we believe that ",{"type":20,"tag":33,"props":26133,"children":26134},{},[26135],{"type":25,"value":26136},"data should be easy for everyone.",{"type":25,"value":26138}," Our no-code data collaboration platform is designed to bridge the gap between ambition and execution, enabling organizations to unlock AI’s potential without the technical hurdles.",{"type":20,"tag":903,"props":26140,"children":26141},{},[26142,26152,26162],{"type":20,"tag":907,"props":26143,"children":26144},{},[26145,26150],{"type":20,"tag":33,"props":26146,"children":26147},{},[26148],{"type":25,"value":26149},"Accessible Tools for All:",{"type":25,"value":26151}," Whether you’re a data scientist or a marketing manager, our platform empowers you to clean, standardize, and analyze data with ease.",{"type":20,"tag":907,"props":26153,"children":26154},{},[26155,26160],{"type":20,"tag":33,"props":26156,"children":26157},{},[26158],{"type":25,"value":26159},"Industry-Agnostic Applications:",{"type":25,"value":26161}," From healthcare to retail to manufacturing, our tools adapt to your unique needs, offering solutions for predictive modeling, customer segmentation, and more.",{"type":20,"tag":907,"props":26163,"children":26164},{},[26165,26170],{"type":20,"tag":33,"props":26166,"children":26167},{},[26168],{"type":25,"value":26169},"Seamless Integration:",{"type":25,"value":26171}," We help you unify your data and connect with existing workflows, ensuring a smoother AI adoption journey.",{"type":20,"tag":223,"props":26173,"children":26175},{"id":26174},"unlocking-ai-success",[26176],{"type":20,"tag":33,"props":26177,"children":26178},{},[26179],{"type":25,"value":26180},"Unlocking AI Success",{"type":20,"tag":21,"props":26182,"children":26183},{},[26184],{"type":25,"value":26185},"The AI era isn’t a question of “if” but “how fast.” Businesses that invest in preparation today will reap the rewards tomorrow. By adopting tools like Narrative’s platform, you can eliminate technical bottlenecks, inspire your team to embrace innovation, and position your organization as a leader in the AI-powered economy.",{"type":20,"tag":21,"props":26187,"children":26188},{},[26189,26190],{"type":25,"value":11516},{"type":20,"tag":44,"props":26191,"children":26193},{"href":2150,"rel":26192},[538],[26194],{"type":20,"tag":16084,"props":26195,"children":26196},{},[26197],{"type":25,"value":18967},{"title":8,"searchDepth":193,"depth":193,"links":26199},[26200,26201,26202,26203,26204],{"id":25983,"depth":380,"text":25989},{"id":26012,"depth":380,"text":26018},{"id":26073,"depth":380,"text":26079},{"id":26120,"depth":380,"text":26126},{"id":26174,"depth":380,"text":26180},"content:blog:prepare-your-business-for-ai.md","blog/prepare-your-business-for-ai.md","blog/prepare-your-business-for-ai",{"loc":25966},{"_path":26210,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":26211,"description":26212,"publishDate":26213,"author":26214,"ogImage":26215,"image":26215,"tags":26216,"body":26218,"_type":195,"_id":26376,"_source":197,"_file":26377,"_stem":26378,"_extension":200,"sitemap":26379},"/blog/pricing-policies-for-data-monetization","Pricing Policies for Data Monetization","Data is now the most valuable resource in the world. How should it be priced?","2019-04-15 16:22:00","Sameer Mehta","/img/blog/2019/04/pricing-policies-new-1.jpg",[209,610,26217],"pricing",{"type":17,"children":26219,"toc":26373},[26220,26225,26230,26252,26257,26262,26271,26276,26299,26304,26337,26342,26350,26355,26368],{"type":20,"tag":223,"props":26221,"children":26223},{"id":26222},"data-is-now-the-most-valuable-resource-in-the-world-how-should-it-be-priced",[26224],{"type":25,"value":26212},{"type":20,"tag":21,"props":26226,"children":26227},{},[26228],{"type":25,"value":26229},"“This thing called ‘price’ is really, really important. I still think that a lot of people under-think it through. You have a lot of companies that start and the only difference between the ones that succeed and fail is that one figured out how to make money, because they were deep in thinking through the revenue, price, and business model. I think that’s under-attended to, generally.” – Steve Ballmer, Former CEO, Microsoft.",{"type":20,"tag":21,"props":26231,"children":26232},{},[26233,26235,26242,26244,26251],{"type":25,"value":26234},"The business of monetizing data has grown significantly over the past decade and has created unprecedented opportunities for firms to market their products, advance their predictive abilities, and target customers with surgical precision. ",{"type":20,"tag":44,"props":26236,"children":26239},{"href":26237,"rel":26238},"https://www.economist.com/leaders/2017/05/06/the-worlds-most-valuable-resource-is-no-longer-oil-but-data",[538],[26240],{"type":25,"value":26241},"As proclaimed in The Economist",{"type":25,"value":26243},", data is now the most valuable resource in the world. The growth in the value of data is primarily fueled by the intelligence that data-driven analytics provides in making critical business decisions. While there are a ton of articles in the popular press about the perks of monetizing data, little is known about how data should be actually priced. Motivated by the practical and theoretical significance of data monetization, we (my advisors and I) have developed a framework that is appropriate for the purchasing of data by a buyer and the corresponding pricing by the seller. In this article, I will briefly explain this framework and highlight the key findings of ",{"type":20,"tag":44,"props":26245,"children":26248},{"href":26246,"rel":26247},"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=%203333296",[538],[26249],{"type":25,"value":26250},"our research paper",{"type":25,"value":191},{"type":20,"tag":21,"props":26253,"children":26254},{},[26255],{"type":25,"value":26256},"An initial challenge that any firm in the business of data monetization faces is to build an efficient data warehouse to integrate data from disparate sources. Even when a firm manages to put together a high-quality, uninferred, and well-structured dataset that complies with user-privacy—which can be a daunting task in its own right—appropriately pricing that dataset is crucial to the success of monetization. A dataset is essentially an information good. Its value is derived from the information that it contains. While economists have studied how to price information goods in general, the selling of a dataset, as I will explain below, is more nuanced than that of information goods like telephone minutes and internet bandwidth.",{"type":20,"tag":21,"props":26258,"children":26259},{},[26260],{"type":25,"value":26261},"Consider the illustrative dataset on the mobile activity of smartphone users in North America shown in Table 1. Such a dataset is highly valuable for marketers as it helps them execute targeted campaigns. Moreover, the valuations for different subsets of records by different marketers vary; that is, the records of interest and the corresponding value for them differ across buyers. A natural question then arises: How should the data-seller price such a dataset? Should he specify a price for each potential set of records that a buyer can select? Clearly, it would be impractical to even specify such a set-based pricing policy due to its exponential size. Should he make a simple take-it-or-leave-it (A pricing policy in which the buyers are required to either purchase all the records in the dataset at a given price or buy nothing.) offer to the buyers? This, of course, would turn away a lot of buyers who are interested in purchasing only a few records (of their choice) from the dataset. To answer these questions, we develop a mathematical model with the following features:",{"type":20,"tag":21,"props":26263,"children":26264},{},[26265,26266],{"type":25,"value":17814},{"type":20,"tag":1630,"props":26267,"children":26270},{"alt":26268,"src":26269},"mathematical-pricing-model","https://solutions.narrative.io/hubfs/mathematical-pricing-model.png",[],{"type":20,"tag":21,"props":26272,"children":26273},{},[26274],{"type":25,"value":26275},"Table 1: An illustrative dataset consisting of information on mobile activity by smartphone users.",{"type":20,"tag":903,"props":26277,"children":26278},{},[26279,26284,26289,26294],{"type":20,"tag":907,"props":26280,"children":26281},{},[26282],{"type":25,"value":26283},"Ideal record: Each buyer has an ideal record that she values the most. For instance, in the illustrative dataset shown in Table 1, an ideal record for a youth-apparel advertiser in California, might be that of a user who is based in San Francisco and has made an in-app purchase on the OpenTable app on Valentine’s day (Record ID 3). Similarly, a competitor of DoorDash might be interested in a user who used (opened) the DoorDash app in the Boston area in the last week (Record ID 8).",{"type":20,"tag":907,"props":26285,"children":26286},{},[26287],{"type":25,"value":26288},"Distance from the ideal record: We employ the notion of a distance metric to measure how close a specific record in the dataset is to a buyer’s ideal record – farther this distance, lesser is the buyer’s value for the record. The notion of distance is then used to rank order the records in the dataset for different buyers. Naturally, buyers prefer records that are closer to their respective ideal records.",{"type":20,"tag":907,"props":26290,"children":26291},{},[26292],{"type":25,"value":26293},"Decay rate: A number which determines the rate at which a buyer’s valuation for a record decays as its distance from the ideal record of that buyer increases.",{"type":20,"tag":907,"props":26295,"children":26296},{},[26297],{"type":25,"value":26298},"Filtering of records: An option (provided by the seller) through which individual buyers can select the records that are of interest to them. In the absence of filtering, the buyers would have to either purchase all the records in the dataset or buy nothing.",{"type":20,"tag":21,"props":26300,"children":26301},{},[26302],{"type":25,"value":26303},"For each individual buyer, her ideal record and decay rate are her private information, which she uses along with the seller’s pricing policy to purchase the records of her choice. Anticipating the buyers’ decisions, the seller’s goal is to design a pricing policy that maximizes his expected revenue. The multi-dimensional private information of the buyers coupled with their endogenous selection of records makes the seller’s problem of optimally pricing the dataset a challenging one. I will now highlight the key results from our analysis.",{"type":20,"tag":903,"props":26305,"children":26306},{},[26307,26312,26317,26322],{"type":20,"tag":907,"props":26308,"children":26309},{},[26310],{"type":25,"value":26311},"When the records in the dataset are “uniformly distributed”, we show that a price-quantity schedule is an optimal data-selling policy. Broadly speaking, the uniform distribution of records signifies that any two buyers with different ideal records find roughly the same number of records within a fixed distance from their respective ideal records. As the name suggests, under a price-quantity schedule, the seller sets a fixed price for a given number of records. Thus, the price depends only on the quantity of the records selected by a buyer and not on their identity. The significance of this result lies in the implication that in the search for an optimal pricing policy, the seller can restrict his attention to schedules in which price depends only on the number of records chosen by the buyer and not on the identity of those records.",{"type":20,"tag":907,"props":26313,"children":26314},{},[26315],{"type":25,"value":26316},"When the uniform distribution assumption does not hold, a price-quantity schedule may no longer be optimal. Nevertheless, in this case, the best price-quantity schedule performs reasonably well and yields provably near-optimal revenue. However, designing the best price- quantity schedule may not be straightforward and business needs dictate that pricing policies should be simple and easily understood. The good news is that simple price-quantity schedules, such as two-part tariffs and two-block tariffs, perform handsomely.",{"type":20,"tag":907,"props":26318,"children":26319},{},[26320],{"type":25,"value":26321},"Two-part tariff: As shown in Figure 1, a two-part pricing policy consists of two parts: a lump-sum (fixed) fee and a per-record (variable) price. For example: A lump-sum fee of $50 and a per-record price of $0.04.",{"type":20,"tag":907,"props":26323,"children":26324},{},[26325,26327,26330,26332],{"type":25,"value":26326},"Two-block tariff: The two-block pricing policy is more general than the two-part policy. Under this policy, the seller charges a lump-sum fee and sets two per-record prices – one for low-quantity buyers and other for high-quantity buyers (see Figure 2). For example: A lump-sum fee of $20 and $0.05 per-record for the first 1000 records and $0.03 per-record for records in excess of 1000.",{"type":20,"tag":2006,"props":26328,"children":26329},{},[],{"type":25,"value":26331},"\n ",{"type":20,"tag":1630,"props":26333,"children":26336},{"alt":26334,"src":26335},"BLOG-031819-pricing-policies-graphs","https://solutions.narrative.io/hubfs/BLOG-031819-pricing-policies-graphs.jpg",[],{"type":20,"tag":21,"props":26338,"children":26339},{},[26340],{"type":25,"value":26341}," Interestingly, these simple pricing policies are able to achieve over 80% of the optimal revenue.",{"type":20,"tag":903,"props":26343,"children":26344},{},[26345],{"type":20,"tag":907,"props":26346,"children":26347},{},[26348],{"type":25,"value":26349},"In the final leg of our analysis, we quantify the value that accrues to the seller from allowing the buyers to filter data. This “value of filtering” to the seller depends on the fraction of records in the dataset that are valuable to the buyer: The lower this fraction, the more important it is for the buyer to use filtering to identify the desired set of records and, thus, higher is the value of filtering.",{"type":20,"tag":21,"props":26351,"children":26352},{},[26353],{"type":25,"value":26354},"This research focused on a monopolistic data-seller who is interested in monetizing a dataset and is a first step towards understanding how datasets should be priced. The ongoing explosive growth in the supply and demand of data has led to the emergence of data-selling platforms, such as Narrative, that cater to both sides of the market: sellers list their datasets on the platform and buyers purchase data from one or more sellers. Such two-sided settings become richer due to several interesting constraints:",{"type":20,"tag":903,"props":26356,"children":26357},{},[26358,26363],{"type":20,"tag":907,"props":26359,"children":26360},{},[26361],{"type":25,"value":26362},"On the supply-side, some sellers may want to sell their data only as a monolithic unit (i.e., avoid sale of proper subsets of records) and some may want to restrict sale to a limited number of buyers.",{"type":20,"tag":907,"props":26364,"children":26365},{},[26366],{"type":25,"value":26367},"On the demand-side, buyers may want exclusive access to data or may have budget and/or minimum-volume constraints.",{"type":20,"tag":21,"props":26369,"children":26370},{},[26371],{"type":25,"value":26372},"Further, from a market-design perspective, the analysis of two-sided data-selling platforms presents interesting theoretical and practical challenges. For instance, the utility of a dataset to a buyer may depend on the number of other buyers who have shared access to that dataset. I believe that our current findings can serve as a foundation for future work on optimal and/or approximate mechanisms for such settings and, more generally, on the design of efficient data-selling platforms.",{"title":8,"searchDepth":193,"depth":193,"links":26374},[26375],{"id":26222,"depth":380,"text":26212},"content:blog:pricing-policies-for-data-monetization.md","blog/pricing-policies-for-data-monetization.md","blog/pricing-policies-for-data-monetization",{"loc":26210},{"_path":26381,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":26382,"description":26383,"publishDate":26384,"author":1436,"ogImage":26385,"image":26385,"tags":26386,"authorSlug":1437,"body":26388,"_type":195,"_id":26497,"_source":197,"_file":26498,"_stem":26499,"_extension":200,"sitemap":26500},"/blog/product-managers-paradox","Product Managers' Paradox: The Data Deluge and the Pursuit of Balance","Finding balance in a data-dominated world - a Product Manager's challenge.","2023-06-09 10:15:00","/img/blog/2023/06/product-manager-paradox-PREVIEW.png",[1262,1263,26387],"product management",{"type":17,"children":26389,"toc":26495},[26390,26395,26401,26406,26412,26417,26423,26428,26434,26440,26452,26457,26462,26468,26473,26479,26484,26490],{"type":20,"tag":21,"props":26391,"children":26392},{},[26393],{"type":25,"value":26394},"In an age where data has become essential for decision-making, product managers find themselves in a complex juggling act. The role has evolved to encompass many responsibilities that increasingly rely on data analytics. However, the task of managing, processing, and utilizing data effectively presents its own set of challenges. Today we explore the realities faced by product managers in working with data and propose strategies to alleviate the pressures of this multifaceted role.",{"type":20,"tag":5193,"props":26396,"children":26398},{"id":26397},"demanding-data-scientists",[26399],{"type":25,"value":26400},"Demanding Data Scientists",{"type":20,"tag":21,"props":26402,"children":26403},{},[26404],{"type":25,"value":26405},"Among the myriad of responsibilities, one of the critical aspects that a product manager grapples with is the insatiable hunger of data scientists for more and better data. Data scientists are in a constant quest for comprehensive datasets to develop robust models. While their intent is to push the envelope, the frequent need for more data can sometimes frustrate the product managers who must balance these demands within the constraints of available resources.",{"type":20,"tag":5193,"props":26407,"children":26409},{"id":26408},"reluctant-engineers",[26410],{"type":25,"value":26411},"Reluctant Engineers",{"type":20,"tag":21,"props":26413,"children":26414},{},[26415],{"type":25,"value":26416},"On the other side of the spectrum, engineers are often not keen on handling ETL (Extract, Transform, Load) jobs, which are critical for data preparation and integration. ETL processes, integral to data pipelines, are often viewed as complex and monotonous. The reluctance of engineers to work on these critical aspects is partly due to the nature of the tasks – they are often tedious, and a source of endless maintenance issues. This leaves product managers in a tricky situation, pressured to deliver high-quality data but constrained by limited enthusiasm and resources.",{"type":20,"tag":5193,"props":26418,"children":26420},{"id":26419},"marketings-data-dilemma",[26421],{"type":25,"value":26422},"Marketing's Data Dilemma",{"type":20,"tag":21,"props":26424,"children":26425},{},[26426],{"type":25,"value":26427},"Marketing teams are not to be left behind in this complex dance. The term ‘data-driven marketing’ has become prevalent. However, there is often a disconnect between the use of the word 'data' and understanding what it entails. Marketing teams might pressure product managers for data without comprehending the complexity involved in extracting meaningful insights, adding another layer of pressure to the product manager's role.",{"type":20,"tag":5193,"props":26429,"children":26431},{"id":26430},"a-unified-data-collaboration-platform",[26432],{"type":25,"value":26433},"A Unified Data Collaboration Platform",{"type":20,"tag":5193,"props":26435,"children":26437},{"id":26436},"a-beacon-of-hope",[26438],{"type":25,"value":26439},"A Beacon of Hope?",{"type":20,"tag":21,"props":26441,"children":26442},{},[26443,26445,26450],{"type":25,"value":26444},"One of the potential solutions for product managers could be an integrated data collaboration platform (DCP). Such a platform can streamline data pipelines and provide a single source of truth. A well-integrated DCP not only enables seamless collaboration and sharing but can also ",{"type":20,"tag":44,"props":26446,"children":26447},{"href":7203},[26448],{"type":25,"value":26449},"automate the ETL processes",{"type":25,"value":26451},". This means engineers can focus on more value-driven tasks, leaving the monotonous aspects to automation.",{"type":20,"tag":21,"props":26453,"children":26454},{},[26455],{"type":25,"value":26456},"Furthermore, through DCP, data scientists are empowered with tools that allow them to independently access and manipulate data. They can also explore external data partnerships, which can sometimes satiate their need for more data. This means they would not have to rely on product managers for every dataset, and the product manager can have more time to focus on other pressing issues.",{"type":20,"tag":21,"props":26458,"children":26459},{},[26460],{"type":25,"value":26461},"In addition, marketing teams can utilize DCP to access relevant data without overburdening the product managers. By being able to interact with data directly, marketing teams might develop a better understanding of data constraints and possibilities, thus aligning their expectations with reality.",{"type":20,"tag":5193,"props":26463,"children":26465},{"id":26464},"training-and-education",[26466],{"type":25,"value":26467},"Training and Education",{"type":20,"tag":21,"props":26469,"children":26470},{},[26471],{"type":25,"value":26472},"While a data collaboration platform can be a vital tool, it is also essential to ensure that all stakeholders have a common understanding of data. Regular training and education sessions for data scientists, engineers, and marketing teams about the potential, limitations, and the right usage of data can lead to more realistic expectations and harmonious collaboration.",{"type":20,"tag":5193,"props":26474,"children":26476},{"id":26475},"the-human-touch",[26477],{"type":25,"value":26478},"The Human Touch",{"type":20,"tag":21,"props":26480,"children":26481},{},[26482],{"type":25,"value":26483},"It’s also important to remember that while data is crucial, human insights and experience are equally important. Encouraging a culture that values human judgment and intuition can sometimes provide perspectives that data alone cannot reveal.",{"type":20,"tag":5193,"props":26485,"children":26487},{"id":26486},"finding-the-balance",[26488],{"type":25,"value":26489},"Finding the Balance",{"type":20,"tag":21,"props":26491,"children":26492},{},[26493],{"type":25,"value":26494},"The modern product manager’s role is a delicate dance with data. With expectations coming from all directions, including data scientists, engineers, and marketing teams, it can be a daunting task. However, by employing a data collaboration platform, coupled with training, education, and valuing human insights, product managers can find the balance needed to effectively manage the challenges of this evolving role. The path is not easy, but with the right tools and strategies, product managers are poised to transform challenges into opportunities.",{"title":8,"searchDepth":193,"depth":193,"links":26496},[],"content:blog:product-managers-paradox.md","blog/product-managers-paradox.md","blog/product-managers-paradox",{"loc":26381},{"_path":26502,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":26503,"description":26504,"author":1436,"ogImage":26505,"image":26505,"publishDate":26506,"tags":26507,"authorSlug":1437,"body":26510,"_type":195,"_id":26716,"_source":197,"_file":26717,"_stem":26718,"_extension":200,"sitemap":26719},"/blog/product-update-blast-2024-09-03","Unlock New Capabilities with Narrative.io (Product Update)","Discover the latest enhancements to Narrative.io designed to streamline data collaboration, integrate with top platforms, and leverage AI for smarter workflows.","/img/blog/2024/09/product-update.png","2024-09-03 17:00:00",[1262,15,26508,26509],"rosetta","rosetta_ai",{"type":17,"children":26511,"toc":26707},[26512,26517,26523,26529,26534,26547,26553,26559,26564,26577,26583,26589,26594,26607,26613,26619,26624,26632,26638,26644,26649,26657,26663,26669,26674,26682,26688,26694,26699],{"type":20,"tag":21,"props":26513,"children":26514},{},[26515],{"type":25,"value":26516},"We're excited to share the latest enhancements to Narrative.io that are designed to make data collaboration easier, faster, and more powerful than ever. Whether you're looking to streamline data sharing, integrate with your favorite platforms, or harness the power of AI to automate tasks, our new features have you covered. Read on to discover how these updates can elevate your data operations and drive better results for your business.",{"type":20,"tag":223,"props":26518,"children":26520},{"id":26519},"new-connector-destinations",[26521],{"type":25,"value":26522},"New Connector Destinations",{"type":20,"tag":5193,"props":26524,"children":26526},{"id":26525},"seamless-integration-with-google-ads-facebook",[26527],{"type":25,"value":26528},"Seamless Integration with Google Ads & Facebook",{"type":20,"tag":21,"props":26530,"children":26531},{},[26532],{"type":25,"value":26533},"Effortlessly extend your reach with our new integrations for Google Ads and Facebook, enabling direct, real-time data delivery to your preferred advertising platforms.",{"type":20,"tag":903,"props":26535,"children":26536},{},[26537,26542],{"type":20,"tag":907,"props":26538,"children":26539},{},[26540],{"type":25,"value":26541},"Available now as Egress Connectors in the Narrative native app marketplace.",{"type":20,"tag":907,"props":26543,"children":26544},{},[26545],{"type":25,"value":26546},"Simple installation lets you push data from any dataset to your selected connector destination with just a few clicks.",{"type":20,"tag":223,"props":26548,"children":26550},{"id":26549},"effortlessly-normalize-data-across-ecosystems",[26551],{"type":25,"value":26552},"Effortlessly Normalize Data Across Ecosystems",{"type":20,"tag":5193,"props":26554,"children":26556},{"id":26555},"automated-data-standardization-with-rosetta-ai",[26557],{"type":25,"value":26558},"Automated Data Standardization with Rosetta AI",{"type":20,"tag":21,"props":26560,"children":26561},{},[26562],{"type":25,"value":26563},"Transform disparate datasets into a unified format for seamless integration and querying across platforms.",{"type":20,"tag":903,"props":26565,"children":26566},{},[26567,26572],{"type":20,"tag":907,"props":26568,"children":26569},{},[26570],{"type":25,"value":26571},"Narrative’s Rosetta AI automatically maps your data to over 300 standardized attributes, constantly growing to meet your needs.",{"type":20,"tag":907,"props":26573,"children":26574},{},[26575],{"type":25,"value":26576},"Apply mappings at query time or materialize them for consistent data usage across your organization.",{"type":20,"tag":223,"props":26578,"children":26580},{"id":26579},"automate-taxonomy-creation",[26581],{"type":25,"value":26582},"Automate Taxonomy Creation",{"type":20,"tag":5193,"props":26584,"children":26586},{"id":26585},"ai-powered-taxonomy-management",[26587],{"type":25,"value":26588},"AI-Powered Taxonomy Management",{"type":20,"tag":21,"props":26590,"children":26591},{},[26592],{"type":25,"value":26593},"Streamline your data organization with Rosetta AI’s intelligent taxonomy suggestions, ensuring accurate and efficient dataset categorization.",{"type":20,"tag":903,"props":26595,"children":26596},{},[26597,26602],{"type":20,"tag":907,"props":26598,"children":26599},{},[26600],{"type":25,"value":26601},"Rosetta generates a taxonomy system based on your dataset names, making organization effortless.",{"type":20,"tag":907,"props":26603,"children":26604},{},[26605],{"type":25,"value":26606},"Simply provide a list of datasets, and Rosetta will automatically group and categorize them into a logical structure.",{"type":20,"tag":223,"props":26608,"children":26610},{"id":26609},"one-click-data-collaboration-with-query-templates",[26611],{"type":25,"value":26612},"One-Click Data Collaboration with Query Templates",{"type":20,"tag":5193,"props":26614,"children":26616},{"id":26615},"simplified-shareable-data-collaboration",[26617],{"type":25,"value":26618},"Simplified, Shareable Data Collaboration",{"type":20,"tag":21,"props":26620,"children":26621},{},[26622],{"type":25,"value":26623},"Empower your team and partners with easy-to-use Query Templates, driving seamless data collaboration across the Narrative ecosystem.",{"type":20,"tag":903,"props":26625,"children":26626},{},[26627],{"type":20,"tag":907,"props":26628,"children":26629},{},[26630],{"type":25,"value":26631},"Create a query once and share it with anyone in your organization or with partners in our ecosystem, offering dynamic placeholders for personalized data integration.",{"type":20,"tag":223,"props":26633,"children":26635},{"id":26634},"automate-data-queries-with-ai-assistance",[26636],{"type":25,"value":26637},"Automate Data Queries with AI Assistance",{"type":20,"tag":5193,"props":26639,"children":26641},{"id":26640},"enhanced-productivity-with-ask-rosetta",[26642],{"type":25,"value":26643},"Enhanced Productivity with \"Ask Rosetta\"",{"type":20,"tag":21,"props":26645,"children":26646},{},[26647],{"type":25,"value":26648},"Leverage \"Ask Rosetta\" for smarter, faster query-building that optimizes your data workflows.",{"type":20,"tag":903,"props":26650,"children":26651},{},[26652],{"type":20,"tag":907,"props":26653,"children":26654},{},[26655],{"type":25,"value":26656},"New features include query optimization for cost efficiency, shareable query templates, and advanced NQL functionalities like deduplication.",{"type":20,"tag":223,"props":26658,"children":26660},{"id":26659},"simplify-secure-data-sharing-with-narrative-id-for-crosswalking",[26661],{"type":25,"value":26662},"Simplify Secure Data Sharing with Narrative ID for Crosswalking",{"type":20,"tag":5193,"props":26664,"children":26666},{"id":26665},"secure-controlled-pii-sharing",[26667],{"type":25,"value":26668},"Secure, Controlled PII Sharing",{"type":20,"tag":21,"props":26670,"children":26671},{},[26672],{"type":25,"value":26673},"Protect sensitive customer information with Narrative ID, enabling secure crosswalking of data while keeping it within your infrastructure.",{"type":20,"tag":903,"props":26675,"children":26676},{},[26677],{"type":20,"tag":907,"props":26678,"children":26679},{},[26680],{"type":25,"value":26681},"Narrative ID allows you to match data between partners without exposing raw PII, ensuring compliance and privacy.",{"type":20,"tag":223,"props":26683,"children":26685},{"id":26684},"coming-soon",[26686],{"type":25,"value":26687},"Coming Soon",{"type":20,"tag":5193,"props":26689,"children":26691},{"id":26690},"customize-share-data-attributes",[26692],{"type":25,"value":26693},"Customize & Share Data Attributes",{"type":20,"tag":21,"props":26695,"children":26696},{},[26697],{"type":25,"value":26698},"Take control of your data with enhanced attribute mapping, allowing you to define and share custom attributes across companies with precision.",{"type":20,"tag":903,"props":26700,"children":26701},{},[26702],{"type":20,"tag":907,"props":26703,"children":26704},{},[26705],{"type":25,"value":26706},"Build on existing Narrative attributes or create your own; Rosetta AI can adapt to recognize and map your data, even for unseen datasets.",{"title":8,"searchDepth":193,"depth":193,"links":26708},[26709,26710,26711,26712,26713,26714,26715],{"id":26519,"depth":380,"text":26522},{"id":26549,"depth":380,"text":26552},{"id":26579,"depth":380,"text":26582},{"id":26609,"depth":380,"text":26612},{"id":26634,"depth":380,"text":26637},{"id":26659,"depth":380,"text":26662},{"id":26684,"depth":380,"text":26687},"content:blog:product-update-blast-2024-09-03.md","blog/product-update-blast-2024-09-03.md","blog/product-update-blast-2024-09-03",{"loc":26502},{"_path":26721,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":26722,"description":26723,"publishDate":26724,"author":1259,"ogImage":26725,"image":26725,"tags":26726,"authorSlug":1265,"body":26729,"_type":195,"_id":26849,"_source":197,"_file":26850,"_stem":26851,"_extension":200,"sitemap":26852},"/blog/proxima-narrative-dtc-segments-for-programmatic","Proxima Partners with Narrative To Launch New Direct-To-Consumer (DTC) Segments For Programmatic","Proxima has launched deterministic, commerce-powered audience segments for programmatic activation—now available on The Trade Desk and Yahoo DSPs. Powered by over $20 billion in verified eCommerce data, these high-performing segments help advertisers reach real DTC buyers with precision and scale. Built and delivered in partnership with Narrative, the offering makes advanced DTC targeting as seamless as a keyword search.","2025-05-08T11:13:30.000Z","/img/blog/2025/05/proxima-and-narrative.png",[1262,1263,1264,26727,26728],"proxima","DTC segments",{"type":17,"children":26730,"toc":26847},[26731,26770,26775,26790,26798,26803,26808,26813,26827,26832],{"type":20,"tag":21,"props":26732,"children":26733},{},[26734,26736,26746,26748,26757,26758,26768],{"type":25,"value":26735},"NEW YORK--(BUSINESS WIRE)--",{"type":20,"tag":44,"props":26737,"children":26740},{"href":26738,"rel":26739},"https://www.proxima.ai/",[538],[26741],{"type":20,"tag":33,"props":26742,"children":26743},{},[26744],{"type":25,"value":26745},"Proxima",{"type":25,"value":26747},", a data intelligence software company that empowers marketing teams to scale customer acquisition profitably, today announced the launch of their unique DTC segments in the data marketplaces of popular DSPs, including ",{"type":20,"tag":44,"props":26749,"children":26752},{"href":26750,"rel":26751},"https://www.thetradedesk.com/",[538],[26753],{"type":20,"tag":33,"props":26754,"children":26755},{},[26756],{"type":25,"value":7032},{"type":25,"value":160},{"type":20,"tag":44,"props":26759,"children":26762},{"href":26760,"rel":26761},"https://www.yahooinc.com/",[538],[26763],{"type":20,"tag":33,"props":26764,"children":26765},{},[26766],{"type":25,"value":26767},"Yahoo",{"type":25,"value":26769},". Programmatic advertisers and agency traders can now seamlessly activate digital advertising campaigns against high-value, unmodeled, 100% deterministic DTC consumer segments within their preferred DSP.",{"type":20,"tag":21,"props":26771,"children":26772},{},[26773],{"type":25,"value":26774},"Launched in 2022, Proxima is building the world’s largest DTC commerce graph. Their predictive models analyze over $20B in eCommerce transactions and 64 million anonymized shopper profiles to help marketers reach and convert high-value customers across their advertising ecosystem with unparalleled efficiency.",{"type":20,"tag":21,"props":26776,"children":26777},{},[26778,26780,26788],{"type":25,"value":26779},"In partnership with ",{"type":20,"tag":44,"props":26781,"children":26783},{"href":772,"rel":26782},[538],[26784],{"type":20,"tag":33,"props":26785,"children":26786},{},[26787],{"type":25,"value":3778},{"type":25,"value":26789},", the leading data collaboration platform, Proxima is extending their AI-powered targeting capabilities to programmatic campaigns. Advertisers can locate Proxima’s DTC segments by simply searching “Proxima” in their DSP’s data marketplace. They can then select from a variety of segments organized by retail vertical, buyer behavior, and other eCommerce attributes to target premium consumers, drive more paid media revenue, and reduce wasted spend.",{"type":20,"tag":21,"props":26791,"children":26792},{},[26793],{"type":20,"tag":33,"props":26794,"children":26795},{},[26796],{"type":25,"value":26797},"With over $20 billion in verified eCommerce data powering our audience models, Proxima now delivers deterministic DTC segments on The Trade Desk and Yahoo—putting razor-sharp targeting within every brand’s reach.",{"type":20,"tag":21,"props":26799,"children":26800},{},[26801],{"type":25,"value":26802},"\"Brands and agencies are increasingly prioritizing eCommerce and transaction data across their marketing channels to drive better outcomes,\" said Alex Song, CEO of Proxima. “Our clients have leveraged Proxima’s targeting tech to optimize over $500M in Meta campaigns – delivering exceptional ROI on paid social. Working with a partner like Narrative now enables us to extend our high-impact targeting capabilities to programmatic advertisers.”",{"type":20,"tag":21,"props":26804,"children":26805},{},[26806],{"type":25,"value":26807},"According to Narrative sources, the early market reception to Proxima’s segments has been extremely positive. \"In just its first few weeks of launching on the DSP marketplaces, the Proxima datasets have generated revenues 4x higher than anyone we’ve onboarded. Their data is highly curated and accurate. The rapid adoption of their DTC segments demonstrates advertisers’ strong interest in reaching this segment of consumers,\" says Tim Mahlman, CEO of Narrative.",{"type":20,"tag":21,"props":26809,"children":26810},{},[26811],{"type":25,"value":26812},"About Proxima\nProxima is transforming the consumer technology landscape and giving B2C businesses the data they need to make informed decisions that drive superior marketing performance. Proxima is a first-of-its-kind data intelligence solution that securely leverages artificial intelligence and a proprietary data network to enable businesses to achieve greater scale, efficiency, and financial success across their acquisition, retention, and full customer lifecycle marketing. Their mission is to be the essential intelligence platform for powering marketing performance for all consumer businesses.",{"type":20,"tag":21,"props":26814,"children":26815},{},[26816,26818,26826],{"type":25,"value":26817},"Learn more about Proxima ",{"type":20,"tag":44,"props":26819,"children":26821},{"href":26738,"rel":26820},[538],[26822],{"type":20,"tag":33,"props":26823,"children":26824},{},[26825],{"type":25,"value":15832},{"type":25,"value":191},{"type":20,"tag":21,"props":26828,"children":26829},{},[26830],{"type":25,"value":26831},"Search “Proxima” in the 3rd party marketplace on The Trade Desk and Yahoo to start acquiring high-LTV customers.",{"type":20,"tag":21,"props":26833,"children":26834},{},[26835,26837],{"type":25,"value":26836},"Ready to launch high-value audiences? ",{"type":20,"tag":44,"props":26838,"children":26840},{"href":2150,"rel":26839},[538],[26841,26846],{"type":20,"tag":33,"props":26842,"children":26843},{},[26844],{"type":25,"value":26845},"Chat with our experts today",{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":26848},[],"content:blog:proxima-narrative-dtc-segments-for-programmatic.md","blog/proxima-narrative-dtc-segments-for-programmatic.md","blog/proxima-narrative-dtc-segments-for-programmatic",{"loc":26721},{"_path":26854,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":26855,"description":26856,"publishDate":26857,"author":1436,"authorSlug":1437,"ogImage":26858,"image":26858,"tags":26859,"body":26863,"_type":195,"_id":26997,"_source":197,"_file":26998,"_stem":26999,"_extension":200,"sitemap":27000},"/blog/pubmatic-connector","Activate Your Audiences Across PubMatic's Sell-Side Platform","The PubMatic Connector delivers your audience segments to PubMatic's sell-side platform, so your data is available for targeting across publishers and content creators on the open internet without custom integration work.","2026-04-06T09:00:00.000Z","/img/blog/2026/04/pubmatic-connector.png",[21129,4182,26860,26861,26862],"PubMatic","programmatic","SSP",{"type":17,"children":26864,"toc":26991},[26865,26870,26875,26880,26884,26889,26894,26898,26903,26956,26960,26965,26970,26974,26979],{"type":20,"tag":21,"props":26866,"children":26867},{},[26868],{"type":25,"value":26869},"Most audience activation conversations start with the same platforms: Meta, The Trade Desk, TikTok, Google. These are important channels, but they don't cover everything. A significant share of programmatic inventory lives across the open internet, across the publisher networks powered by supply-side platforms.",{"type":20,"tag":21,"props":26871,"children":26872},{},[26873],{"type":25,"value":26874},"PubMatic is one of the largest. And now your audiences can reach it.",{"type":20,"tag":21,"props":26876,"children":26877},{},[26878],{"type":25,"value":26879},"Narrative's PubMatic Connector is now available, giving you a direct path to deliver your audience segments to PubMatic's sell-side platform for targeting across its global network of publishers and content creators on the open internet.",{"type":20,"tag":1495,"props":26881,"children":26882},{"id":4212},[26883],{"type":25,"value":21155},{"type":20,"tag":21,"props":26885,"children":26886},{},[26887],{"type":25,"value":26888},"For data providers and marketers who want to activate audiences in programmatic environments, reaching an SSP like PubMatic has historically meant custom integration work: formatting data to platform specs, managing credentials, and building a strategy to keep segments fresh. That's engineering overhead most teams would rather not carry.",{"type":20,"tag":21,"props":26890,"children":26891},{},[26892],{"type":25,"value":26893},"Narrative removes it. The PubMatic Connector extends the same proven activation model already powering delivery to The Trade Desk, Meta, TikTok, Pinterest, and DV360, so you can add PubMatic to your distribution without adding a new workflow.",{"type":20,"tag":1495,"props":26895,"children":26896},{"id":21178},[26897],{"type":25,"value":21181},{"type":20,"tag":21,"props":26899,"children":26900},{},[26901],{"type":25,"value":26902},"The PubMatic Connector enables you to deliver audiences built in Narrative directly to PubMatic's sell-side platform. Here is what that unlocks:",{"type":20,"tag":903,"props":26904,"children":26905},{},[26906,26916,26926,26936,26946],{"type":20,"tag":907,"props":26907,"children":26908},{},[26909,26914],{"type":20,"tag":33,"props":26910,"children":26911},{},[26912],{"type":25,"value":26913},"Reach publishers and content creators across the open internet.",{"type":25,"value":26915}," Make your audience segments available for targeting by advertisers buying inventory through PubMatic's sell-side platform — a channel that social and DSP activations alone don't cover.",{"type":20,"tag":907,"props":26917,"children":26918},{},[26919,26924],{"type":20,"tag":33,"props":26920,"children":26921},{},[26922],{"type":25,"value":26923},"Skip the custom integration.",{"type":25,"value":26925}," No bespoke pipelines, no manual data transfers. Narrative handles formatting and delivery to PubMatic's platform automatically.",{"type":20,"tag":907,"props":26927,"children":26928},{},[26929,26934],{"type":20,"tag":33,"props":26930,"children":26931},{},[26932],{"type":25,"value":26933},"Keep segments live.",{"type":25,"value":26935}," Audiences are automatically refreshed on a schedule, so your segments stay current and available without manual intervention.",{"type":20,"tag":907,"props":26937,"children":26938},{},[26939,26944],{"type":20,"tag":33,"props":26940,"children":26941},{},[26942],{"type":25,"value":26943},"Activate across identifier types.",{"type":25,"value":26945}," Deliver audiences using cookies, MAIDs, IP addresses, and custom identity providers across use cases from household targeting to custom identity resolution.",{"type":20,"tag":907,"props":26947,"children":26948},{},[26949,26954],{"type":20,"tag":33,"props":26950,"children":26951},{},[26952],{"type":25,"value":26953},"Use the workflow you already know.",{"type":25,"value":26955}," The same setup and delivery experience as every other Narrative connector. One workflow, every destination.",{"type":20,"tag":1495,"props":26957,"children":26958},{"id":11727},[26959],{"type":25,"value":11730},{"type":20,"tag":21,"props":26961,"children":26962},{},[26963],{"type":25,"value":26964},"This release is part of Narrative's broader mission to make your data work wherever you need it. The PubMatic Connector joins our existing integrations with The Trade Desk, Meta, TikTok, Pinterest, Yahoo DSP, and others — giving you a single platform to manage audience activation across social, programmatic, and open internet channels.",{"type":20,"tag":21,"props":26966,"children":26967},{},[26968],{"type":25,"value":26969},"The organizations that win are the ones whose data is in the right places, in the right format, at the right time. That is what we are building toward.",{"type":20,"tag":1495,"props":26971,"children":26972},{"id":21256},[26973],{"type":25,"value":21259},{"type":20,"tag":21,"props":26975,"children":26976},{},[26977],{"type":25,"value":26978},"The PubMatic Connector is available now. If you are already using Narrative, you can install the connector from the App Marketplace and start delivering audiences today.",{"type":20,"tag":21,"props":26980,"children":26981},{},[26982,26984,26989],{"type":25,"value":26983},"Ready to extend your audience reach across PubMatic's sell-side platform? ",{"type":20,"tag":44,"props":26985,"children":26987},{"href":21285,"rel":26986},[538],[26988],{"type":25,"value":21289},{"type":25,"value":26990}," to see how Narrative can streamline your activation.",{"title":8,"searchDepth":193,"depth":193,"links":26992},[26993,26994,26995,26996],{"id":4212,"depth":193,"text":21155},{"id":21178,"depth":193,"text":21181},{"id":11727,"depth":193,"text":11730},{"id":21256,"depth":193,"text":21259},"content:blog:pubmatic-connector.md","blog/pubmatic-connector.md","blog/pubmatic-connector",{"loc":26854},{"_path":27002,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":27003,"description":27004,"publishDate":27005,"author":27006,"ogImage":27007,"image":27007,"tags":27008,"body":27009,"_type":195,"_id":27158,"_source":197,"_file":27159,"_stem":27160,"_extension":200,"sitemap":27161},"/blog/putting-the-science-back-in-data-science","Putting the Science Back in Data Science","Too much of a data scientist's time is focused on data cleansing, and not enough on the math.","2017-06-13 04:38:00","Yael Elmatad","/img/blog/2017/06/become-a-better-data-scientist.png",[4365,1054],{"type":17,"children":27010,"toc":27150},[27011,27017,27022,27027,27032,27037,27042,27047,27052,27057,27062,27068,27073,27078,27084,27096,27101,27106,27112,27117,27122,27128,27133,27138],{"type":20,"tag":1495,"props":27012,"children":27014},{"id":27013},"too-much-of-a-data-scientists-time-is-focused-on-data-cleansing-and-not-enough-on-the-math",[27015],{"type":25,"value":27016},"Too much of a data scientist's time is focused on data cleansing, and not enough on the math",{"type":20,"tag":21,"props":27018,"children":27019},{},[27020],{"type":25,"value":27021},"As a former computational chemist, I rode into the world of data science on a wave of eigenvectors and correlations functions.",{"type":20,"tag":21,"props":27023,"children":27024},{},[27025],{"type":25,"value":27026},"I remember my first few interviews — before I knew what a KPI or EBITDA was — and thought I was being asked some very odd questions. It felt like I was given an intro to data science exam: What is overfitting? Can you write this SQL query? If a train is leaving NY Penn Station at 2pm at 50 miles an hour… You get the picture.",{"type":20,"tag":21,"props":27028,"children":27029},{},[27030],{"type":25,"value":27031},"Nobody handed me data sets asking me to poke at it and see what I could find. Though, from the jobs descriptions, everyone was totally into data-driven decisions. Super into it. It was cooler than Sharknado and twerking. (It was 2013.) So, the fact that they weren’t trying to hire people who could actualize data-driven decisions was perplexing.",{"type":20,"tag":21,"props":27033,"children":27034},{},[27035],{"type":25,"value":27036},"The first thing I did when I got to my new job was get a project where I was given some data presented to me as useful for feature generation, and then a problem: How we could use this data to optimize some key performance indicator.",{"type":20,"tag":21,"props":27038,"children":27039},{},[27040],{"type":25,"value":27041},"I was just a junior data scientist (albeit the company’s first), but as I started to look at the data, I realized the task wasn’t so simple. The consultant we hired had built this large machine learning model (published right from the oracles at Google), but when I compared it to the simplest methods it wasn’t able to outperform anything.",{"type":20,"tag":21,"props":27043,"children":27044},{},[27045],{"type":25,"value":27046},"The reason? The data we were using was modeled data — not raw data. And modeling on top of modeled data is like making new hot dogs by cobbling together bits of other hot dogs. (FRANKenstein’s hotdog?)",{"type":20,"tag":21,"props":27048,"children":27049},{},[27050],{"type":25,"value":27051},"The answer was clear — GIVE ME RAW DATA.",{"type":20,"tag":21,"props":27053,"children":27054},{},[27055],{"type":25,"value":27056},"Luckily for me, I was at a small company and the business development lead and I happened to play on our company’s soccer team together. (Worst team in the league, baby!) In between getting hit in the face by the opposing team’s throw-ins and nursing our wounds, he was able to go and secure some high-quality raw data from a data provider (which you can now buy on the Narrative platform, btw). My models went from about as good as coin-flipping to hitting it out of the park. (Sadly, my soccer skills did not improve appropriately.)",{"type":20,"tag":21,"props":27058,"children":27059},{},[27060],{"type":25,"value":27061},"Some of what happened to me is serendipity because I’m inquisitive and my company let me poke at things until I felt like I understood the problem. Plus, I also happen to like playing soccer. But how can you set up your data science team so you don’t have to rely on a Ph.D’s outgoingness and delusions of athleticism?",{"type":20,"tag":223,"props":27063,"children":27065},{"id":27064},"interview-properly",[27066],{"type":25,"value":27067},"Interview properly",{"type":20,"tag":21,"props":27069,"children":27070},{},[27071],{"type":25,"value":27072},"It’s not enough to know the difference between an SVM and an SVD. Check a prospective data scientist’s intuition and data literacy by giving more open ended problems with real data and give them adequate time to explore it.",{"type":20,"tag":21,"props":27074,"children":27075},{},[27076],{"type":25,"value":27077},"Walk through their thought process with them. Are they curious about the data? Can they see possibilities in the records? Don’t limit data science interviews to trivia questions from an online course or brain teasers.",{"type":20,"tag":223,"props":27079,"children":27081},{"id":27080},"let-your-data-scientists-explore",[27082],{"type":25,"value":27083},"Let your data scientists explore",{"type":20,"tag":21,"props":27085,"children":27086},{},[27087,27089,27094],{"type":25,"value":27088},"Remember the science part of data ",{"type":20,"tag":33,"props":27090,"children":27091},{},[27092],{"type":25,"value":27093},"science",{"type":25,"value":27095},". That means being able and having time to poke at things. If you don’t let your data scientists play a bit, then you don’t have a data scientist. You have an improperly labelled data engineer or data analyst. (Some of my best friends are data engineers and data analysts!)",{"type":20,"tag":21,"props":27097,"children":27098},{},[27099],{"type":25,"value":27100},"Offer them open ended business goals, such as the need to improve conversion rate and what can be done to get there. And don’t make it this amorphous self-regulated 20% time, because we all know product and business priorities creep in. Why not the first week of the month?",{"type":20,"tag":21,"props":27102,"children":27103},{},[27104],{"type":25,"value":27105},"The most meaningful contributions I’ve made at my job have all come from such weeks where I was taken off of standard product sprint work and tasked with solving a problem.",{"type":20,"tag":223,"props":27107,"children":27109},{"id":27108},"close-the-gap-between-business-development-and-data-science",[27110],{"type":25,"value":27111},"Close the gap between business development and data science",{"type":20,"tag":21,"props":27113,"children":27114},{},[27115],{"type":25,"value":27116},"The process is backwards. The question should be initiated by data scientists when they need data they can use to build such-and-such model. Then it should be handed off to business development to locate, not the other way around.",{"type":20,"tag":21,"props":27118,"children":27119},{},[27120],{"type":25,"value":27121},"In my experience, by the time I’d figured out the data sets that BD had thrown at me were useful, we’d had it sitting in our data stores for half a year. The contracts were signed way too early; a total waste of money.",{"type":20,"tag":223,"props":27123,"children":27125},{"id":27124},"give-data-scientists-access-to-raw-data-on-demand",[27126],{"type":25,"value":27127},"Give data scientists access to raw data on demand",{"type":20,"tag":21,"props":27129,"children":27130},{},[27131],{"type":25,"value":27132},"No need to ask their product owner to talk to the head of product to chat with the head of BD until their request for raw contextual data yields someone signing a contract for some data management platform’s modeled-out demographic data — a full quarter later. (“This is what you wanted right?”)",{"type":20,"tag":21,"props":27134,"children":27135},{},[27136],{"type":25,"value":27137},"Extra bonus, it frees up BD to actually develop the business instead of hungry-hungry-hippoing all the data they can get their hands on and hoping someone downstream will actually use it.",{"type":20,"tag":21,"props":27139,"children":27140},{},[27141,27143,27148],{"type":25,"value":27142},"Companies need to change how they build their ",{"type":20,"tag":44,"props":27144,"children":27146},{"href":27145},"/roles/data-scientists",[27147],{"type":25,"value":1054},{"type":25,"value":27149}," team if they want to get more out of their data and get it faster. Find the right data scientists, then give them the autonomy to do work that will actually meet goals. And stop relying on the same old processes that don’t work and start exploring new ways to find data.",{"title":8,"searchDepth":193,"depth":193,"links":27151},[27152],{"id":27013,"depth":193,"text":27016,"children":27153},[27154,27155,27156,27157],{"id":27064,"depth":380,"text":27067},{"id":27080,"depth":380,"text":27083},{"id":27108,"depth":380,"text":27111},{"id":27124,"depth":380,"text":27127},"content:blog:putting-the-science-back-in-data-science.md","blog/putting-the-science-back-in-data-science.md","blog/putting-the-science-back-in-data-science",{"loc":27002},{"_path":27163,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":27164,"description":27165,"publishDate":27166,"author":1259,"ogImage":27167,"image":27167,"tags":27168,"authorSlug":1265,"body":27170,"_type":195,"_id":27323,"_source":197,"_file":27324,"_stem":27325,"_extension":200,"sitemap":27326},"/blog/redefining-finance-with-data-interoperability","The New Finance Frontier: From Data Islands to Connected Intelligence","The finance industry is on the brink of a revolution not characterized by a single invention but by a paradigm shift in how data is utilized and understood","2023-11-28 14:36:03","/img/blog/2023/11/finance-blog.png",[1262,1263,10563,27169,1264],"fintech",{"type":17,"children":27171,"toc":27311},[27172,27178,27190,27196,27201,27207,27212,27218,27223,27229,27234,27240,27245,27251,27256,27261,27266,27272,27277,27283,27288,27294,27299,27304],{"type":20,"tag":223,"props":27173,"children":27175},{"id":27174},"unleashing-the-power-of-connected-data",[27176],{"type":25,"value":27177},"Unleashing the Power of Connected Data",{"type":20,"tag":21,"props":27179,"children":27180},{},[27181,27182,27188],{"type":25,"value":20193},{"type":20,"tag":44,"props":27183,"children":27185},{"href":27184},"/industries/finance",[27186],{"type":25,"value":27187},"finance and fintech",{"type":25,"value":27189}," industry stands on the brink of a revolution not characterized by a single invention or discovery but by a paradigm shift in how data is utilized and understood. This revolution is powered by data interoperability - the seamless, secure, and efficient data exchange and integration across diverse systems, platforms, and organizations.",{"type":20,"tag":223,"props":27191,"children":27193},{"id":27192},"the-innovation-catalyst",[27194],{"type":25,"value":27195},"The Innovation Catalyst",{"type":20,"tag":21,"props":27197,"children":27198},{},[27199],{"type":25,"value":27200},"Data interoperability is not just an incremental improvement; it's a catalyst for massive innovation. By allowing different systems and organizations to 'speak' the same data language, interoperability unlocks new levels of efficiency, insight, and opportunity. It enables financial institutions to break free from the confines of isolated data silos and embrace a more holistic, interconnected data ecosystem.",{"type":20,"tag":223,"props":27202,"children":27204},{"id":27203},"ai-and-user-friendly-software-accelerators-of-change",[27205],{"type":25,"value":27206},"AI and User-Friendly Software: Accelerators of Change",{"type":20,"tag":21,"props":27208,"children":27209},{},[27210],{"type":25,"value":27211},"The true potential of data interoperability is magnified when coupled with user-friendly software interfaces and AI assistants. These technologies democratize data access, allowing technical and non-technical users to engage effortlessly with complex data processes. With their ability to analyze vast datasets and generate insights, AI assistants become invaluable tools for decision-making, risk assessment, and identifying market opportunities.",{"type":20,"tag":223,"props":27213,"children":27215},{"id":27214},"transforming-the-finance-landscape",[27216],{"type":25,"value":27217},"Transforming the Finance Landscape",{"type":20,"tag":21,"props":27219,"children":27220},{},[27221],{"type":25,"value":27222},"In a sector where decision-making speed is crucial, interoperability, aided by AI and intuitive software, transforms how financial services operate. It facilitates real-time data analysis, predictive modeling, and personalized financial services, leading to more informed investment strategies and risk management approaches. Moreover, it fosters innovation in areas like automated trading, fraud detection, and regulatory compliance.",{"type":20,"tag":223,"props":27224,"children":27226},{"id":27225},"the-compliance-and-security-advantage",[27227],{"type":25,"value":27228},"The Compliance and Security Advantage",{"type":20,"tag":21,"props":27230,"children":27231},{},[27232],{"type":25,"value":27233},"Interoperability also offers a compliance and security advantage in a world where data breaches and regulatory fines are costly risks; having a unified approach to data governance and security is indispensable. Interoperability ensures that data flows are compliant with global standards, enhancing data protection and privacy.",{"type":20,"tag":223,"props":27235,"children":27237},{"id":27236},"a-new-era-of-customer-experience",[27238],{"type":25,"value":27239},"A New Era of Customer Experience",{"type":20,"tag":21,"props":27241,"children":27242},{},[27243],{"type":25,"value":27244},"Personalized banking experiences, tailored investment advice, real-time financial insights – these are no longer futuristic concepts but rapidly becoming industry standards, all thanks to the power of interoperable data.",{"type":20,"tag":223,"props":27246,"children":27248},{"id":27247},"empowering-investors-and-money-managers",[27249],{"type":25,"value":27250},"Empowering Investors and Money Managers",{"type":20,"tag":21,"props":27252,"children":27253},{},[27254],{"type":25,"value":27255},"For investors and money managers, interoperability is a game-changer. It consolidates data from multiple sources to enable a comprehensive view of market trends, investment opportunities, and risks. This holistic approach allows for more strategic asset allocation, better risk-adjusted returns, and a deeper understanding of market dynamics.",{"type":20,"tag":21,"props":27257,"children":27258},{},[27259],{"type":25,"value":27260},"Investors benefit from enhanced portfolio analysis tools that leverage interconnected datasets, providing insights into market movements, asset correlations, and potential investment risks. This integrated data approach leads to more informed investment decisions and strategy optimizations.",{"type":20,"tag":21,"props":27262,"children":27263},{},[27264],{"type":25,"value":27265},"On the other hand, money managers can leverage interoperable data to provide more accurate and timely advice to their clients. They can harness the power of AI-driven analytics to identify market trends, evaluate investment opportunities, and tailor their strategies to individual client needs, ensuring a more personalized and effective management of portfolios.",{"type":20,"tag":223,"props":27267,"children":27269},{"id":27268},"a-case-study-in-transformation",[27270],{"type":25,"value":27271},"A Case Study in Transformation",{"type":20,"tag":21,"props":27273,"children":27274},{},[27275],{"type":25,"value":27276},"Envision a mid-sized asset management firm grappling with the challenge of integrating diverse data sets from global markets. Historically, this issue led to delayed insights and missed investment opportunities. Now, imagine this firm adopting an interoperable data platform. The transformation is revolutionary: regardless of technical expertise, analysts employ AI assistants to seamlessly integrate real-time data from various sources using plain & simple commands. This shift profoundly cuts analysis time, enabling the discovery of unique investment opportunities previously hidden by data fragmentation. Imagine querying across all provider datasets with a single, streamlined inquiry, resulting in a robust and agile investment strategy. This scenario isn't just an improvement; it represents a complete redefinition of how financial professionals interact with data, transforming challenges into a competitive edge that could define market leaders.",{"type":20,"tag":223,"props":27278,"children":27280},{"id":27279},"the-future-is-now",[27281],{"type":25,"value":27282},"The Future is Now",{"type":20,"tag":21,"props":27284,"children":27285},{},[27286],{"type":25,"value":27287},"As we look towards the future, the finance and fintech industry must continue to embrace and invest in data interoperability. The organizations that do so will lead the charge in this new era of financial services.",{"type":20,"tag":223,"props":27289,"children":27291},{"id":27290},"narrative-facilitating-the-interoperability-revolution",[27292],{"type":25,"value":27293},"Narrative: Facilitating the Interoperability Revolution",{"type":20,"tag":21,"props":27295,"children":27296},{},[27297],{"type":25,"value":27298},"In this transformative landscape, platforms like Narrative are playing a crucial role. Narrative's AI-driven, privacy-centric Data Collaboration Platform exemplifies how technology can facilitate seamless data strategies and collaborations. With features like an intuitive web application, powerful AI-assistant Rosetta, and advanced data governance controls, Narrative is not just part of the data interoperability revolution; it's helping to lead it.",{"type":20,"tag":21,"props":27300,"children":27301},{},[27302],{"type":25,"value":27303},"The future of finance and fintech lies in the innovative use of interoperable data augmented by AI and user-friendly technologies. As the industry continues to evolve, embracing these advancements is not just a strategic move but a necessity for those looking to stay at the forefront of the financial services sector.",{"type":20,"tag":21,"props":27305,"children":27306},{},[27307],{"type":20,"tag":44,"props":27308,"children":27309},{"href":180},[27310],{"type":25,"value":10638},{"title":8,"searchDepth":193,"depth":193,"links":27312},[27313,27314,27315,27316,27317,27318,27319,27320,27321,27322],{"id":27174,"depth":380,"text":27177},{"id":27192,"depth":380,"text":27195},{"id":27203,"depth":380,"text":27206},{"id":27214,"depth":380,"text":27217},{"id":27225,"depth":380,"text":27228},{"id":27236,"depth":380,"text":27239},{"id":27247,"depth":380,"text":27250},{"id":27268,"depth":380,"text":27271},{"id":27279,"depth":380,"text":27282},{"id":27290,"depth":380,"text":27293},"content:blog:redefining-finance-with-data-interoperability.md","blog/redefining-finance-with-data-interoperability.md","blog/redefining-finance-with-data-interoperability",{"loc":27163},{"_path":27328,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":27329,"description":27330,"publishDate":27331,"author":1259,"ogImage":27332,"image":27332,"tags":27333,"authorSlug":1265,"body":27334,"_type":195,"_id":27498,"_source":197,"_file":27499,"_stem":27500,"_extension":200,"sitemap":27501},"/blog/redefining-healthcare-with-data-interoperability","Redefining Healthcare: How Data Interoperability Will Transform Healthcare Forever","The dawn of data interoperability promises a revolution of transformation that is set to redefine the very fabric of healthcare delivery and management.","2023-11-15 15:10:07","/img/blog/2023/11/redefining-healthcare.png",[1262,1263,10552,1264],{"type":17,"children":27335,"toc":27485},[27336,27341,27347,27352,27358,27363,27369,27374,27380,27385,27391,27396,27402,27407,27413,27418,27424,27429,27435,27440,27445,27451,27456,27462,27467,27473,27478],{"type":20,"tag":21,"props":27337,"children":27338},{},[27339],{"type":25,"value":27340},"In the modern healthcare industry, data is the lifeblood that sustains innovation, propels research and improves patient outcomes. Yet, the potential of healthcare data has been bound by the chains of incompatibility and fragmentation. The dawn of data interoperability promises a revolution, a tidal wave of transformation set to redefine the fabric of healthcare delivery and management.",{"type":20,"tag":223,"props":27342,"children":27344},{"id":27343},"the-interoperability-imperative",[27345],{"type":25,"value":27346},"The Interoperability Imperative",{"type":20,"tag":21,"props":27348,"children":27349},{},[27350],{"type":25,"value":27351},"Data interoperability is the seamless exchange and utilization of health information across diverse platforms and systems. Imagine a world where patient records, clinical studies, and real-time health monitoring tools speak the same language, enabling a unified view of patient health. This is not a mere convenience; it is a critical necessity. When health data is interoperable, the barriers to holistic care dissolve, allowing for a more personalized and efficient healthcare experience.",{"type":20,"tag":223,"props":27353,"children":27355},{"id":27354},"artificial-intelligence-the-catalyst-of-change",[27356],{"type":25,"value":27357},"Artificial Intelligence: The Catalyst of Change",{"type":20,"tag":21,"props":27359,"children":27360},{},[27361],{"type":25,"value":27362},"Integrating Artificial Intelligence (AI) with interoperable data platforms is pivotal in healthcare innovation. AI-enabled assistants serve as the bridge between complex data sets and actionable insights. They empower healthcare providers to make informed decisions without needing deep technical know-how. From predicting patient risks to personalizing treatment plans, AI is the torchbearer leading the charge toward a more intelligent, more responsive healthcare system.",{"type":20,"tag":223,"props":27364,"children":27366},{"id":27365},"the-no-code-revolution",[27367],{"type":25,"value":27368},"The No-Code Revolution",{"type":20,"tag":21,"props":27370,"children":27371},{},[27372],{"type":25,"value":27373},"The advent of no-code interfaces further magnifies the promise of data interoperability. These intuitive platforms democratize data manipulation, placing the power of data analytics into the hands of clinicians, researchers, and administrators alike. With the ability to execute tasks through plain & simple commands, the no-code movement breaks down the ivory towers of data science, fostering an environment where anyone can contribute to the healthcare dialogue.",{"type":20,"tag":223,"props":27375,"children":27377},{"id":27376},"a-panacea-for-persistent-challenges",[27378],{"type":25,"value":27379},"A Panacea for Persistent Challenges",{"type":20,"tag":21,"props":27381,"children":27382},{},[27383],{"type":25,"value":27384},"The implications of data interoperability in healthcare are profound:",{"type":20,"tag":5193,"props":27386,"children":27388},{"id":27387},"enhanced-care-coordination",[27389],{"type":25,"value":27390},"Enhanced Care Coordination",{"type":20,"tag":21,"props":27392,"children":27393},{},[27394],{"type":25,"value":27395},"Interoperable systems ensure that patient information is available when and where needed, reducing errors and enhancing the quality of care.",{"type":20,"tag":223,"props":27397,"children":27399},{"id":27398},"streamlined-operations",[27400],{"type":25,"value":27401},"Streamlined Operations",{"type":20,"tag":21,"props":27403,"children":27404},{},[27405],{"type":25,"value":27406},"Unified data streams allow smoother operations, from billing to patient flow management, saving time and reducing administrative burdens.",{"type":20,"tag":223,"props":27408,"children":27410},{"id":27409},"accelerated-research",[27411],{"type":25,"value":27412},"Accelerated Research",{"type":20,"tag":21,"props":27414,"children":27415},{},[27416],{"type":25,"value":27417},"Researchers can leverage diverse data sets to uncover trends, understand diseases, and fast-track the development of new treatments and drugs.",{"type":20,"tag":223,"props":27419,"children":27421},{"id":27420},"empowered-patients",[27422],{"type":25,"value":27423},"Empowered Patients",{"type":20,"tag":21,"props":27425,"children":27426},{},[27427],{"type":25,"value":27428},"With interoperable data, patients can take control of their health information, making informed decisions about their care and treatment options.",{"type":20,"tag":223,"props":27430,"children":27432},{"id":27431},"envisioning-the-future-a-hypothetical-case-study-in-emergency-response",[27433],{"type":25,"value":27434},"Envisioning the Future: A Hypothetical Case Study in Emergency Response",{"type":20,"tag":21,"props":27436,"children":27437},{},[27438],{"type":25,"value":27439},"Imagine a scenario where a regional hospital system faces a critical wave of influenza. Such situations have been historically exacerbated by fragmented data from clinics, laboratories, and emergency services, leading to delayed responses and an incomplete understanding of the epidemic’s scope. Now, picture this hospital system equipped with a data interoperability platform.",{"type":20,"tag":21,"props":27441,"children":27442},{},[27443],{"type":25,"value":27444},"In this hypothetical case, real-time data from diverse sources is seamlessly integrated. AI-enabled assistants, accessible via simple commands, swiftly analyze trends, predict outbreak hotspots, and optimally allocate resources. Clinicians access comprehensive, unified patient records with no-code UI’s, significantly reducing check-in times and accelerating care delivery. The result? A markedly more effective management of the influenza wave, with valuable insights gleaned for future public health preparedness. This envisioned scenario underscores the transformative potential of data interoperability, enhanced by user-friendly software and AI, in revolutionizing emergency healthcare responses.",{"type":20,"tag":223,"props":27446,"children":27448},{"id":27447},"the-narrative-of-progress",[27449],{"type":25,"value":27450},"The Narrative of Progress",{"type":20,"tag":21,"props":27452,"children":27453},{},[27454],{"type":25,"value":27455},"At Narrative, we understand the power of data interoperability. Our proprietary Rosetta Stone technology is at the forefront of this evolution, enabling the standardization and normalization of data across any platform or system. Our easy-to-use interfaces and AI assistants embody the no-code revolution, providing unparalleled access and control over data to all healthcare stakeholders.",{"type":20,"tag":223,"props":27457,"children":27459},{"id":27458},"interoperability-and-security",[27460],{"type":25,"value":27461},"Interoperability and security",{"type":20,"tag":21,"props":27463,"children":27464},{},[27465],{"type":25,"value":27466},"Narrative is committed to facilitating seamless data collaboration while upholding the highest standards of security, particularly crucial in the healthcare industry where sensitive data is prevalent. Our platform is designed with robust, granular control mechanisms that safeguard Personally Identifiable Information (PII). This advanced feature enables teams to share critical data confidently without the risk of exposing sensitive details. Narrative’s intuitive system automatically filters out PII, allowing the sharing of vital information without placing the burden of manual redaction on team members. This balance of openness and security is pivotal in empowering healthcare professionals to leverage data for better outcomes while maintaining strict confidentiality and compliance.",{"type":20,"tag":223,"props":27468,"children":27470},{"id":27469},"embracing-the-future",[27471],{"type":25,"value":27472},"Embracing the Future",{"type":20,"tag":21,"props":27474,"children":27475},{},[27476],{"type":25,"value":27477},"The healthcare industry stands on the brink of a new era, where data interoperability and AI-driven platforms like Narrative's open the doors to unprecedented innovation and efficiency. As we embrace this future, the potential for improving patient outcomes and advancing global health is limitless. It is not just an evolution; it is a revolution that Narrative is proud to be part of.",{"type":20,"tag":21,"props":27479,"children":27480},{},[27481],{"type":20,"tag":44,"props":27482,"children":27483},{"href":180},[27484],{"type":25,"value":10638},{"title":8,"searchDepth":193,"depth":193,"links":27486},[27487,27488,27489,27490,27491,27492,27493,27494,27495,27496,27497],{"id":27343,"depth":380,"text":27346},{"id":27354,"depth":380,"text":27357},{"id":27365,"depth":380,"text":27368},{"id":27376,"depth":380,"text":27379},{"id":27398,"depth":380,"text":27401},{"id":27409,"depth":380,"text":27412},{"id":27420,"depth":380,"text":27423},{"id":27431,"depth":380,"text":27434},{"id":27447,"depth":380,"text":27450},{"id":27458,"depth":380,"text":27461},{"id":27469,"depth":380,"text":27472},"content:blog:redefining-healthcare-with-data-interoperability.md","blog/redefining-healthcare-with-data-interoperability.md","blog/redefining-healthcare-with-data-interoperability",{"loc":27328},{"_path":27503,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":27504,"description":27505,"publishDate":27506,"author":7560,"ogImage":27507,"image":27507,"tags":27508,"body":27509,"_type":195,"_id":27598,"_source":197,"_file":27599,"_stem":27600,"_extension":200,"sitemap":27601},"/blog/reports","Better understand your data buying and selling activity with Reports","With reports, Narrative enables buyers and sellers to fully understand their company’s activity both in the Narrative data marketplace and with direct agreements.","2019-10-22 14:57:43","/img/blog/2019/10/reporting---for-blog.png",[4897],{"type":17,"children":27510,"toc":27593},[27511,27516,27521,27527,27532,27540,27545,27551,27556,27560,27573],{"type":20,"tag":21,"props":27512,"children":27513},{},[27514],{"type":25,"value":27515},"A well-formulated data strategy requires that buyers and sellers have full visibility into what has been bought and sold, from and by whom, and for how much. This can be used to help align internal teams, do proper budget planning, and act as a feedback loop for optimizing future inventory and purchases.",{"type":20,"tag":21,"props":27517,"children":27518},{},[27519],{"type":25,"value":27520},"With Reports, Narrative enables buyers and sellers to fully understand their company’s activity both in the Narrative data marketplace and with direct agreements. No more dealing with countless invoices and side-of-desk spreadsheets, Narrative’s Reports show all buying and selling activity in one place, updated daily with the latest numbers, activity, and insights.",{"type":20,"tag":223,"props":27522,"children":27524},{"id":27523},"acquire-reports",[27525],{"type":25,"value":27526},"Acquire Reports",{"type":20,"tag":21,"props":27528,"children":27529},{},[27530],{"type":25,"value":27531},"Acquire Reports allow buyers to analyze the amount of money spent and the type and amount of data purchased over a specified time range. The report also allows you to analyze spend and observation count at the order level, down to the data types purchased and the suppliers from whom the data was bought.",{"type":20,"tag":21,"props":27533,"children":27534},{},[27535],{"type":20,"tag":1630,"props":27536,"children":27539},{"alt":27537,"src":27538},"acquire report - blog post (1)","https://solutions.narrative.io/hubfs/acquire%20report%20-%20blog%20post%20(1).png",[],{"type":20,"tag":21,"props":27541,"children":27542},{},[27543],{"type":25,"value":27544},"Checking how much money is being spent by order allows a buyer to understand if they are going to meet their data budget for a given strategy. If the order is pacing to hit the budget before the end of the budgeting period, the buyer might consider raising the budget. If the pacing is going to fall short of their budget, it might be wise to reallocate that budget to a different strategy or change price.",{"type":20,"tag":223,"props":27546,"children":27548},{"id":27547},"distribute-reports",[27549],{"type":25,"value":27550},"Distribute Reports",{"type":20,"tag":21,"props":27552,"children":27553},{},[27554],{"type":25,"value":27555},"Suppliers using Narrative Distribute to monetize their data can use Distribute Reports to understand their total earnings and amount of data sold over a specified time range. The report also allows you to analyze earnings and observations sold by specific data type, as well as a breakdown of the number of observations bought and earnings from each specific buyer who purchased from you.",{"type":20,"tag":223,"props":27557,"children":27558},{"id":7697},[27559],{"type":25,"value":7700},{"type":20,"tag":21,"props":27561,"children":27562},{},[27563,27565,27572],{"type":25,"value":27564},"Reports are now available to all Narrative Acquire and Narrative Distribute customers via the navigation bar in the ",{"type":20,"tag":44,"props":27566,"children":27569},{"href":27567,"rel":27568},"https://app.narrative.io/platform",[538],[27570],{"type":25,"value":27571},"dashboard",{"type":25,"value":191},{"type":20,"tag":21,"props":27574,"children":27575},{},[27576,27578,27583,27584],{"type":25,"value":27577},"If you’d like to learn more about how Narrative’s data transaction reporting features can help you optimize your data strategy, reach out to your partner success manager or ",{"type":20,"tag":44,"props":27579,"children":27580},{"href":180},[27581],{"type":25,"value":27582},"get in",{"type":25,"value":177},{"type":20,"tag":33,"props":27585,"children":27586},{},[27587,27592],{"type":20,"tag":44,"props":27588,"children":27589},{"href":180},[27590],{"type":25,"value":27591},"touch with a member of our team",{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":27594},[27595,27596,27597],{"id":27523,"depth":380,"text":27526},{"id":27547,"depth":380,"text":27550},{"id":7697,"depth":380,"text":7700},"content:blog:reports.md","blog/reports.md","blog/reports",{"loc":27503},{"_path":27603,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":27604,"description":27605,"publishDate":27606,"author":3094,"tags":27607,"authorSlug":3099,"body":27610,"_type":195,"_id":27634,"_source":197,"_file":27635,"_stem":27636,"_extension":200,"sitemap":27637},"/blog/reproductive-health-data","Reproductive health data on the Narrative data collaboration platform","In light of changes to policies surrounding women’s reproductive rights, Narrative is removing menstruation and pregnancy tracking app install data from the Marketplace. ","2022-05-17 18:59:44",[27608,27609],"privacy","reproductive-health",{"type":17,"children":27611,"toc":27632},[27612,27617,27622,27627],{"type":20,"tag":21,"props":27613,"children":27614},{},[27615],{"type":25,"value":27616},"In light of potential forthcoming changes to policies surrounding women’s reproductive rights, Narrative has updated our policy to remove menstruation and pregnancy tracking app install data from the Narrative Data Marketplace in order to prevent the potential misuse of such data.",{"type":20,"tag":21,"props":27618,"children":27619},{},[27620],{"type":25,"value":27621},"App install data purchased from third parties via the Marketplace includes pseudoanonymized identifiers of mobile devices that have that specific app installed on their phone. The data does not provide information about any actions taken within or usage of the app.",{"type":20,"tag":21,"props":27623,"children":27624},{},[27625],{"type":25,"value":27626},"Narrative’s terms and conditions expressly prohibit the use of any data acquired via Narrative for “conducting or providing surveillance, or gathering similar intelligence on any individual or entity, including but not limited to investigating or tracking data subjects or any other data sources.” Additionally, many reproductive health-related apps have their own privacy and protection measures in place to prohibit the commercial use of in-app data.",{"type":20,"tag":21,"props":27628,"children":27629},{},[27630],{"type":25,"value":27631},"While data itself is neither good nor bad, we acknowledge that there are opportunities for data to be used for. We regret that we did not.",{"title":8,"searchDepth":193,"depth":193,"links":27633},[],"content:blog:reproductive-health-data.md","blog/reproductive-health-data.md","blog/reproductive-health-data",{"loc":27603},{"_path":27639,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":27640,"description":27641,"publishDate":27642,"author":1436,"ogImage":27643,"image":27643,"tags":27644,"authorSlug":1437,"body":27646,"_type":195,"_id":27955,"_source":197,"_file":27956,"_stem":27957,"_extension":200,"sitemap":27958},"/blog/retail-media-needs-identity-and-collaboration-to-scale","Can Retail Media Networks Stand Alone? Why the Future Is Collaborative","Retail media networks are booming — but most retailers can’t go it alone. Outside the giants, building a scalable RMN requires collaboration with partners, and that starts with a shared identity foundation. This article explores why the future of retail media is composable, collaborative, and powered by interoperable identity.","2025-05-07T12:30:30.000Z","/img/blog/2025/05/retail-media-and-identity-blog.png",[1262,1263,1264,27645,5680],"retail media network",{"type":17,"children":27647,"toc":27947},[27648,27653,27658,27663,27673,27679,27684,27689,27701,27712,27718,27723,27766,27771,27777,27782,27794,27799,27805,27810,27822,27827,27845,27863,27869,27874,27879,27884,27890,27895,27899,27924,27929,27934],{"type":20,"tag":21,"props":27649,"children":27650},{},[27651],{"type":25,"value":27652},"Retail media networks (RMNs) are booming. Ad budgets are shifting. Retailers want a piece of the pie. And why wouldn’t they? The promise is appealing: monetize shopper data, capture brand dollars, build walled gardens like Amazon.",{"type":20,"tag":21,"props":27654,"children":27655},{},[27656],{"type":25,"value":27657},"But there’s one problem. Most retailers aren’t Amazon.",{"type":20,"tag":21,"props":27659,"children":27660},{},[27661],{"type":25,"value":27662},"In reality, very few companies have the scale, tech stack, or data depth to operate a truly self-sufficient retail media network. Everyone else is trying to mimic the playbook — without the necessary ingredients. They’re flying solo in a game designed for teams.",{"type":20,"tag":21,"props":27664,"children":27665},{},[27666,27668],{"type":25,"value":27667},"The truth is: ",{"type":20,"tag":33,"props":27669,"children":27670},{},[27671],{"type":25,"value":27672},"retail media can’t scale without collaboration.",{"type":20,"tag":223,"props":27674,"children":27676},{"id":27675},"the-rmn-hype-curve",[27677],{"type":25,"value":27678},"The RMN Hype Curve",{"type":20,"tag":21,"props":27680,"children":27681},{},[27682],{"type":25,"value":27683},"Let’s start with the obvious: RMNs are a hot topic. CPGs are reallocating budgets. Retailers are launching media offerings faster than ever. The number of retail media platforms has tripled in the last three years.",{"type":20,"tag":21,"props":27685,"children":27686},{},[27687],{"type":25,"value":27688},"But many of these launches fall into the same trap — assuming that first-party data and ad space are enough. They aren’t.",{"type":20,"tag":21,"props":27690,"children":27691},{},[27692,27694,27699],{"type":25,"value":27693},"Successful retail media isn’t just about having data. It’s about having ",{"type":20,"tag":2347,"props":27695,"children":27696},{},[27697],{"type":25,"value":27698},"enough",{"type":25,"value":27700}," data. It’s about identity. It’s about interoperability. And it’s about meeting advertisers' expectations around reach, precision, and measurement.",{"type":20,"tag":21,"props":27702,"children":27703},{},[27704,27706,27711],{"type":25,"value":27705},"Without those, you don’t have a retail media network. You have a media ",{"type":20,"tag":2347,"props":27707,"children":27708},{},[27709],{"type":25,"value":27710},"moment",{"type":25,"value":191},{"type":20,"tag":223,"props":27713,"children":27715},{"id":27714},"why-going-it-alone-isnt-working",[27716],{"type":25,"value":27717},"Why Going It Alone Isn’t Working",{"type":20,"tag":21,"props":27719,"children":27720},{},[27721],{"type":25,"value":27722},"Outside of the industry giants — think Amazon, Walmart, Kroger — most retailers struggle to build RMNs that attract and retain serious ad spend. Why?",{"type":20,"tag":903,"props":27724,"children":27725},{},[27726,27736,27746,27756],{"type":20,"tag":907,"props":27727,"children":27728},{},[27729,27734],{"type":20,"tag":33,"props":27730,"children":27731},{},[27732],{"type":25,"value":27733},"Data limitations:",{"type":25,"value":27735}," Smaller retailers have fragmented, siloed data that’s hard to activate.",{"type":20,"tag":907,"props":27737,"children":27738},{},[27739,27744],{"type":20,"tag":33,"props":27740,"children":27741},{},[27742],{"type":25,"value":27743},"Low scale:",{"type":25,"value":27745}," Limited reach means limited value to advertisers.",{"type":20,"tag":907,"props":27747,"children":27748},{},[27749,27754],{"type":20,"tag":33,"props":27750,"children":27751},{},[27752],{"type":25,"value":27753},"Lack of identity infrastructure:",{"type":25,"value":27755}," Without a unified view of the customer, personalization and measurement fall apart.",{"type":20,"tag":907,"props":27757,"children":27758},{},[27759,27764],{"type":20,"tag":33,"props":27760,"children":27761},{},[27762],{"type":25,"value":27763},"Tech complexity:",{"type":25,"value":27765}," Building the pipes takes time, talent, and capital.",{"type":20,"tag":21,"props":27767,"children":27768},{},[27769],{"type":25,"value":27770},"The result? A long tail of underpowered RMNs that don’t meet the needs of modern marketers — or the revenue expectations of the C-suite.",{"type":20,"tag":223,"props":27772,"children":27774},{"id":27773},"the-case-for-collaboration",[27775],{"type":25,"value":27776},"The Case for Collaboration",{"type":20,"tag":21,"props":27778,"children":27779},{},[27780],{"type":25,"value":27781},"To scale RMNs, retailers need to stop thinking like walled gardens — and start thinking like ecosystems.",{"type":20,"tag":21,"props":27783,"children":27784},{},[27785,27787,27792],{"type":25,"value":27786},"That means building ",{"type":20,"tag":33,"props":27788,"children":27789},{},[27790],{"type":25,"value":27791},"collaborative networks",{"type":25,"value":27793}," that span retailers, CPGs, publishers, loyalty platforms, and other data-rich partners. When done right, this kind of collaboration expands audience reach, improves match rates, and drives better performance across the board.",{"type":20,"tag":21,"props":27795,"children":27796},{},[27797],{"type":25,"value":27798},"But collaboration is easier said than done. Especially when every player wants to control the customer relationship — and nobody wants to hand over raw data.",{"type":20,"tag":223,"props":27800,"children":27802},{"id":27801},"composable-identity-the-missing-ingredient",[27803],{"type":25,"value":27804},"Composable Identity: The Missing Ingredient",{"type":20,"tag":21,"props":27806,"children":27807},{},[27808],{"type":25,"value":27809},"That’s where composable identity comes in.",{"type":20,"tag":21,"props":27811,"children":27812},{},[27813,27815,27820],{"type":25,"value":27814},"Composable identity is an approach to identity resolution that’s ",{"type":20,"tag":33,"props":27816,"children":27817},{},[27818],{"type":25,"value":27819},"modular, interoperable, and partner-friendly",{"type":25,"value":27821},". It lets each participant maintain control of their data while stitching together shared identity graphs across parties.",{"type":20,"tag":21,"props":27823,"children":27824},{},[27825],{"type":25,"value":27826},"In practice, it means:",{"type":20,"tag":903,"props":27828,"children":27829},{},[27830,27835,27840],{"type":20,"tag":907,"props":27831,"children":27832},{},[27833],{"type":25,"value":27834},"CPGs can activate shopper data across multiple RMNs with high match rates.",{"type":20,"tag":907,"props":27836,"children":27837},{},[27838],{"type":25,"value":27839},"Retailers can expand their network via partners without handing over sensitive data.",{"type":20,"tag":907,"props":27841,"children":27842},{},[27843],{"type":25,"value":27844},"Measurement can happen across brands and platforms with a consistent identity backbone.",{"type":20,"tag":21,"props":27846,"children":27847},{},[27848,27850,27855,27857,27862],{"type":25,"value":27849},"It’s the difference between building ",{"type":20,"tag":2347,"props":27851,"children":27852},{},[27853],{"type":25,"value":27854},"another siloed RMN",{"type":25,"value":27856}," and building a ",{"type":20,"tag":33,"props":27858,"children":27859},{},[27860],{"type":25,"value":27861},"scalable media ecosystem",{"type":25,"value":191},{"type":20,"tag":223,"props":27864,"children":27866},{"id":27865},"what-this-looks-like-with-narrative",[27867],{"type":25,"value":27868},"What This Looks Like with Narrative",{"type":20,"tag":21,"props":27870,"children":27871},{},[27872],{"type":25,"value":27873},"At Narrative, we make this kind of identity-first collaboration possible.",{"type":20,"tag":21,"props":27875,"children":27876},{},[27877],{"type":25,"value":27878},"Our Rosetta Stone product gives companies the tools to translate and match identity across datasets — no matter the format, structure, or source. That means RMNs can unify shopper IDs, CPGs can onboard cleanly, and partners can match records without compromising privacy or control.",{"type":20,"tag":21,"props":27880,"children":27881},{},[27882],{"type":25,"value":27883},"Composable identity isn’t a buzzword. It’s the infrastructure layer collaborative RMNs need to work.",{"type":20,"tag":223,"props":27885,"children":27887},{"id":27886},"the-future-of-rmns-is-interoperable",[27888],{"type":25,"value":27889},"The Future of RMNs Is Interoperable",{"type":20,"tag":21,"props":27891,"children":27892},{},[27893],{"type":25,"value":27894},"The next wave of retail media won’t be dominated by solo players. It’ll be led by those who can build bridges — not just walls.",{"type":20,"tag":21,"props":27896,"children":27897},{},[27898],{"type":25,"value":18801},{"type":20,"tag":903,"props":27900,"children":27901},{},[27902,27907,27912],{"type":20,"tag":907,"props":27903,"children":27904},{},[27905],{"type":25,"value":27906},"Forming strategic partnerships with other data owners",{"type":20,"tag":907,"props":27908,"children":27909},{},[27910],{"type":25,"value":27911},"Aligning identity infrastructure across platforms",{"type":20,"tag":907,"props":27913,"children":27914},{},[27915,27917,27922],{"type":25,"value":27916},"Creating activation and measurement pathways that work ",{"type":20,"tag":2347,"props":27918,"children":27919},{},[27920],{"type":25,"value":27921},"across",{"type":25,"value":27923}," networks, not just within them",{"type":20,"tag":21,"props":27925,"children":27926},{},[27927],{"type":25,"value":27928},"Composable identity is the connective tissue that makes this possible.",{"type":20,"tag":21,"props":27930,"children":27931},{},[27932],{"type":25,"value":27933},"Retailers who embrace collaboration — and invest in identity — will win. Those who don’t will be left behind.",{"type":20,"tag":21,"props":27935,"children":27936},{},[27937,27939],{"type":25,"value":27938},"Ready to build and scale your retail media network? ",{"type":20,"tag":44,"props":27940,"children":27942},{"href":2150,"rel":27941},[538],[27943],{"type":20,"tag":33,"props":27944,"children":27945},{},[27946],{"type":25,"value":7548},{"title":8,"searchDepth":193,"depth":193,"links":27948},[27949,27950,27951,27952,27953,27954],{"id":27675,"depth":380,"text":27678},{"id":27714,"depth":380,"text":27717},{"id":27773,"depth":380,"text":27776},{"id":27801,"depth":380,"text":27804},{"id":27865,"depth":380,"text":27868},{"id":27886,"depth":380,"text":27889},"content:blog:retail-media-needs-identity-and-collaboration-to-scale.md","blog/retail-media-needs-identity-and-collaboration-to-scale.md","blog/retail-media-needs-identity-and-collaboration-to-scale",{"loc":27639},{"_path":27960,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":27961,"description":27962,"publishDate":27963,"author":1259,"ogImage":27964,"image":27964,"tags":27965,"authorSlug":1265,"body":27966,"_type":195,"_id":28047,"_source":197,"_file":28048,"_stem":28049,"_extension":200,"sitemap":28050},"/blog/retail-renaissance-with-data-interoperability","Retail Renaissance: The Game-Changing Impact of Data Interoperability","Data interoperability, the seamless integration and exchange of data, is the beacon of a retail renaissance.","2023-12-05 14:38:17","/img/blog/2023/12/retail-blog.png",[1262,10574,1263,1264],{"type":17,"children":27967,"toc":28040},[27968,27973,27979,27984,27990,27995,28001,28006,28012,28017,28023,28028,28033],{"type":20,"tag":21,"props":27969,"children":27970},{},[27971],{"type":25,"value":27972},"The retail industry, pulsating with diverse data streams from e-commerce platforms, supply chains, and customer interactions, is at a pivotal transformation point. Data interoperability, the seamless integration and exchange of data, is the beacon of this revolution. With the advent of user-friendly software and AI assistants, the barriers of technical expertise are crumbling, offering a fertile ground for innovation and efficiency.",{"type":20,"tag":223,"props":27974,"children":27976},{"id":27975},"the-power-of-data-interoperability",[27977],{"type":25,"value":27978},"The Power of Data Interoperability",{"type":20,"tag":21,"props":27980,"children":27981},{},[27982],{"type":25,"value":27983},"Imagine a retail world where every data point, from inventory levels to customer preferences, communicates harmoniously. Data interoperability allows this integrated dialogue, transforming siloed information into a cohesive, powerful asset. Retailers can leverage this unified data to craft personalized shopping experiences, optimize inventory management, and forecast trends with unprecedented accuracy.",{"type":20,"tag":223,"props":27985,"children":27987},{"id":27986},"ai-and-no-code-interfaces-the-catalysts-of-change",[27988],{"type":25,"value":27989},"AI and No-Code Interfaces – The Catalysts of Change",{"type":20,"tag":21,"props":27991,"children":27992},{},[27993],{"type":25,"value":27994},"The fusion of AI-enabled assistants and no-code interfaces with data interoperability catalyzes a shift in the retail landscape. These tools democratize data, enabling users without coding expertise to extract insights, perform complex analyses, and execute tasks through simple commands via a simple chat UI. The outcome? A dramatic escalation in efficiency and decision-making speed, setting the stage for retail innovation.",{"type":20,"tag":223,"props":27996,"children":27998},{"id":27997},"the-retail-renaissance",[27999],{"type":25,"value":28000},"The Retail Renaissance",{"type":20,"tag":21,"props":28002,"children":28003},{},[28004],{"type":25,"value":28005},"Data interoperability, when harnessed through intuitive platforms, ignites a retail renaissance. Retailers can now query across multiple datasets in one fell swoop, unlocking opportunities for cross-industry collaboration, real-time decision-making, and hyper-personalization at scale. The result is not just enhanced operational efficiency but also a profound enhancement of the customer experience.",{"type":20,"tag":223,"props":28007,"children":28009},{"id":28008},"lets-look-at-a-hypothetical-case-study",[28010],{"type":25,"value":28011},"Let’s look at a hypothetical case study",{"type":20,"tag":21,"props":28013,"children":28014},{},[28015],{"type":25,"value":28016},"Imagine a retailer struggling with disconnected data from various channels: online sales, in-store transactions, supply chain logistics, and external data (for example, purchase intent). With the adoption of data interoperability, these isolated datasets can seamlessly integrate, offering a holistic view of the business. In this scenario, the retailer can leverage these integrated insights to align their inventory with real-time sales data, drastically reducing overstock and understock. Furthermore, imagine this retailer utilizing the unified data to craft personalized marketing campaigns, increasing customer engagement significantly. By executing a single query across all datasets, they could uncover a previously unnoticed niche market, leading to the conceptual launch of a highly successful targeted product line. This illustrative case study exemplifies the transformative power of data interoperability in retail, turning data into a strategic asset that can lead to significant business improvements and innovative breakthroughs in the dynamic retail sector.",{"type":20,"tag":223,"props":28018,"children":28020},{"id":28019},"the-narrative-edge",[28021],{"type":25,"value":28022},"The Narrative Edge",{"type":20,"tag":21,"props":28024,"children":28025},{},[28026],{"type":25,"value":28027},"As we envision the future of retail, it's evident that data interoperability is not just an option but a necessity for staying competitive. Narrative's data collaboration platform, equipped with our Rosetta Stone technology, embodies this vision. It standardizes and normalizes data across company accounts and industries, ensuring it's interoperable and actionable.",{"type":20,"tag":21,"props":28029,"children":28030},{},[28031],{"type":25,"value":28032},"The retail industry is on the cusp of a data-driven revolution, with interoperability as its cornerstone. By embracing easy-to-use software and AI assistants, retailers can unlock the full potential of their data, propelling them toward unprecedented innovation and growth. At Narrative, we're committed to powering this transformation, making data collaboration accessible, efficient, and universal. Join us in shaping the future of retail, where data knows no bounds and possibilities are limitless.",{"type":20,"tag":21,"props":28034,"children":28035},{},[28036],{"type":20,"tag":44,"props":28037,"children":28038},{"href":180},[28039],{"type":25,"value":10638},{"title":8,"searchDepth":193,"depth":193,"links":28041},[28042,28043,28044,28045,28046],{"id":27975,"depth":380,"text":27978},{"id":27986,"depth":380,"text":27989},{"id":27997,"depth":380,"text":28000},{"id":28008,"depth":380,"text":28011},{"id":28019,"depth":380,"text":28022},"content:blog:retail-renaissance-with-data-interoperability.md","blog/retail-renaissance-with-data-interoperability.md","blog/retail-renaissance-with-data-interoperability",{"loc":27960},{"_path":28052,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":28053,"description":28054,"publishDate":28055,"author":1436,"ogImage":28056,"image":28056,"tags":28057,"authorSlug":1437,"body":28058,"_type":195,"_id":28248,"_source":197,"_file":28249,"_stem":28250,"_extension":200,"sitemap":28251},"/blog/revolutionizing-data-interoperability-with-ai-automation","Revolutionizing Data Interoperability with AI - How Automated Mapping is Changing the Game","The ability to swiftly and effectively integrate and utilize data from diverse sources is not just advantageous—it's essential.","2024-05-08T13:01:10.000Z","/img/blog/2024/05/automated-mapping.png",[1262,6989,6614],{"type":17,"children":28059,"toc":28246},[28060,28065,28070,28076,28084,28089,28142,28150,28155,28167,28175,28180,28241],{"type":20,"tag":21,"props":28061,"children":28062},{},[28063],{"type":25,"value":28064},"The ability to swiftly and effectively integrate and utilize data from diverse sources is not just advantageous—it's essential. Data interoperability, which facilitates the seamless exchange and interpretation of this information across various systems, is crucial for dynamic and effective data collaboration. As businesses increasingly rely on diverse data to drive decisions, the traditional data integration challenges are becoming more pronounced.",{"type":20,"tag":21,"props":28066,"children":28067},{},[28068],{"type":25,"value":28069},"With one click - Narrative’s automated mapping technology can effortlessly standardize and integrate diverse data types.",{"type":20,"tag":28071,"props":28072,"children":28075},"lazy-video",{":aspect-width":28073,":id":28074},"940","4b75772e83dd8bba870e3449d221d3b1",[],{"type":20,"tag":21,"props":28077,"children":28078},{},[28079],{"type":20,"tag":33,"props":28080,"children":28081},{},[28082],{"type":25,"value":28083},"The Cost of Inefficiency in Data Handling",{"type":20,"tag":21,"props":28085,"children":28086},{},[28087],{"type":25,"value":28088},"Traditionally, data handling has been fraught with inefficiencies that stymie potential business growth and operational agility. Key issues include:",{"type":20,"tag":903,"props":28090,"children":28091},{},[28092,28102,28112,28122,28132],{"type":20,"tag":907,"props":28093,"children":28094},{},[28095,28100],{"type":20,"tag":33,"props":28096,"children":28097},{},[28098],{"type":25,"value":28099},"Manual Data Cleaning",{"type":25,"value":28101},": Time-consuming manual efforts are required to correct errors, standardize formats, and validate data accuracy.",{"type":20,"tag":907,"props":28103,"children":28104},{},[28105,28110],{"type":20,"tag":33,"props":28106,"children":28107},{},[28108],{"type":25,"value":28109},"Data Silos",{"type":25,"value":28111},": Difficulty in merging data from different sources, leading to incomplete data views and potential errors.",{"type":20,"tag":907,"props":28113,"children":28114},{},[28115,28120],{"type":20,"tag":33,"props":28116,"children":28117},{},[28118],{"type":25,"value":28119},"Delayed Insights",{"type":25,"value":28121},": Slower decision-making due to the lengthy preprocessing required to make data usable.",{"type":20,"tag":907,"props":28123,"children":28124},{},[28125,28130],{"type":20,"tag":33,"props":28126,"children":28127},{},[28128],{"type":25,"value":28129},"Resource Drain",{"type":25,"value":28131},": Excessive allocation of IT and data science resources to routine data maintenance instead of strategic projects.",{"type":20,"tag":907,"props":28133,"children":28134},{},[28135,28140],{"type":20,"tag":33,"props":28136,"children":28137},{},[28138],{"type":25,"value":28139},"Compliance Risks",{"type":25,"value":28141},": Increased risk of non-compliance with data privacy standards due to inconsistent data handling practices.",{"type":20,"tag":21,"props":28143,"children":28144},{},[28145],{"type":20,"tag":33,"props":28146,"children":28147},{},[28148],{"type":25,"value":28149},"The Solution: Rosetta Stone",{"type":20,"tag":21,"props":28151,"children":28152},{},[28153],{"type":25,"value":28154},"Narrative’s Rosetta Stone technology acts as a universal translator in data management, enabling efficient data transactions across varied formats. It normalizes data from multiple sources into a consistent, universally understood format, leveraging machine learning and human curation for mapping to a common schema. This process transforms data collection, making it seamless and significantly reducing manual effort. Additionally, it serves as a sophisticated query planner, orchestrating data retrieval and normalization to facilitate easy data analysis and application on a scalable platform.",{"type":20,"tag":21,"props":28156,"children":28157},{},[28158],{"type":20,"tag":44,"props":28159,"children":28161},{"href":16150,"rel":28160},[538],[28162],{"type":20,"tag":2347,"props":28163,"children":28164},{},[28165],{"type":25,"value":28166},"Read more about how Rosetta Stone works.",{"type":20,"tag":21,"props":28168,"children":28169},{},[28170],{"type":20,"tag":33,"props":28171,"children":28172},{},[28173],{"type":25,"value":28174},"Transformative Benefits of Simplified Data Standardization",{"type":20,"tag":21,"props":28176,"children":28177},{},[28178],{"type":25,"value":28179},"Simplifying the data standardization process through automation brings a host of benefits that can transform organizational capabilities:",{"type":20,"tag":903,"props":28181,"children":28182},{},[28183,28192,28202,28212,28221,28231],{"type":20,"tag":907,"props":28184,"children":28185},{},[28186,28190],{"type":20,"tag":33,"props":28187,"children":28188},{},[28189],{"type":25,"value":9581},{"type":25,"value":28191},": Drastically reduces the time from data acquisition to actionable insights, enabling real-time decision-making.",{"type":20,"tag":907,"props":28193,"children":28194},{},[28195,28200],{"type":20,"tag":33,"props":28196,"children":28197},{},[28198],{"type":25,"value":28199},"Cost Efficiency",{"type":25,"value":28201},": Minimizes the need for extensive manual labor, saving on operational costs and allowing budget allocation to growth initiatives.",{"type":20,"tag":907,"props":28203,"children":28204},{},[28205,28210],{"type":20,"tag":33,"props":28206,"children":28207},{},[28208],{"type":25,"value":28209},"Accuracy",{"type":25,"value":28211},": Enhances data accuracy and consistency, reducing the risk of errors and improving the reliability of business insights.",{"type":20,"tag":907,"props":28213,"children":28214},{},[28215,28219],{"type":20,"tag":33,"props":28216,"children":28217},{},[28218],{"type":25,"value":7062},{"type":25,"value":28220},": Facilitates the easy integration of new data sources, supporting scalable analytics that grow with your business needs.",{"type":20,"tag":907,"props":28222,"children":28223},{},[28224,28229],{"type":20,"tag":33,"props":28225,"children":28226},{},[28227],{"type":25,"value":28228},"Compliance and Security",{"type":25,"value":28230},": Automated processes help maintain data integrity and compliance with increasingly stringent data protection laws.",{"type":20,"tag":907,"props":28232,"children":28233},{},[28234,28239],{"type":20,"tag":33,"props":28235,"children":28236},{},[28237],{"type":25,"value":28238},"Breaking Down Silos",{"type":25,"value":28240},": By standardizing data formats across various sources, automated mapping eliminates data silos, enabling a unified view of information that enhances collaboration and data utilization across departments.",{"type":20,"tag":21,"props":28242,"children":28243},{},[28244],{"type":25,"value":28245},"The shift towards automated data mapping tools represents a significant evolution in data management, offering unprecedented efficiency and strategic advantage. With comprehensive solutions like those provided by Narrative, businesses can harness the full potential of their data assets, ensuring they are not just participants but leaders in the data-driven landscape. Narrative stands out as the only platform offering such an extensive suite of functionalities, from automated \"Rosetta Stone\" mapping to a versatile connector framework and an intuitive no-code query builder, making it the most powerful tool for any organization looking to optimize data collaboration.",{"title":8,"searchDepth":193,"depth":193,"links":28247},[],"content:blog:revolutionizing-data-interoperability-with-AI-automation.md","blog/revolutionizing-data-interoperability-with-AI-automation.md","blog/revolutionizing-data-interoperability-with-AI-automation",{"loc":28052},{"_path":28253,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":28254,"description":28255,"publishDate":28256,"author":3094,"ogImage":28257,"image":28257,"tags":28258,"authorSlug":3099,"body":28259,"_type":195,"_id":28569,"_source":197,"_file":28570,"_stem":28571,"_extension":200,"sitemap":28572},"/blog/rmn-company-strategy-not-data-project","Building a Retail Media Network Is a Company Strategy—Not Just a Data Problem","Retail media networks aren’t just data projects—they’re new revenue streams that require full-company alignment. Discover why treating RMNs as company-wide strategies, not IT initiatives, is key to success—and how Narrative can help you launch faster without sacrificing differentiation.","2025-07-03T12:13:30.000Z","/img/blog/2025/07/rmn-strategy-blog.png",[1262,1263,1264,27645],{"type":17,"children":28260,"toc":28561},[28261,28266,28271,28276,28281,28287,28292,28297,28302,28308,28313,28318,28371,28376,28382,28387,28392,28425,28430,28436,28441,28446,28464,28469,28474,28480,28485,28518,28523,28529,28534,28539,28544,28549],{"type":20,"tag":21,"props":28262,"children":28263},{},[28264],{"type":25,"value":28265},"Retailers across the globe are racing to launch Retail Media Networks (RMNs). The allure is obvious: new revenue streams, closer ties to advertisers, and the ability to capitalize on first-party data in a privacy-first world. But in the scramble to capitalize on this opportunity, too many organizations frame RMNs as a technology or data integration challenge.",{"type":20,"tag":21,"props":28267,"children":28268},{},[28269],{"type":25,"value":28270},"It’s a tempting simplification—just connect some pipes, spin up a clean room, and you’re off to the races. Right?",{"type":20,"tag":21,"props":28272,"children":28273},{},[28274],{"type":25,"value":28275},"Not quite.",{"type":20,"tag":21,"props":28277,"children":28278},{},[28279],{"type":25,"value":28280},"The truth is that building a successful RMN requires much more than data flows and APIs. It’s a transformational initiative—a new line of business that calls for company-wide alignment. And while platforms like Narrative can dramatically reduce the technical overhead, there's still no such thing as an effortless launch.",{"type":20,"tag":1495,"props":28282,"children":28284},{"id":28283},"the-rmn-gold-rush",[28285],{"type":25,"value":28286},"The RMN Gold Rush",{"type":20,"tag":21,"props":28288,"children":28289},{},[28290],{"type":25,"value":28291},"Every major retailer wants in on the RMN game. The market potential is enormous, and the pressure to act is real. But treating an RMN initiative as a side project for IT or a checkbox for the data team is a critical misstep.",{"type":20,"tag":21,"props":28293,"children":28294},{},[28295],{"type":25,"value":28296},"Retail media isn’t just a function. It’s a business.",{"type":20,"tag":21,"props":28298,"children":28299},{},[28300],{"type":25,"value":28301},"An RMN involves real advertisers with real budgets. It demands compelling product offerings, sales infrastructure, billing mechanisms, onboarding workflows, and cross-functional coordination. Success depends on how well a company can orchestrate its internal teams to deliver value—not just how well it pipes data between systems.",{"type":20,"tag":1495,"props":28303,"children":28305},{"id":28304},"why-its-bigger-than-data",[28306],{"type":25,"value":28307},"Why It’s Bigger Than Data",{"type":20,"tag":21,"props":28309,"children":28310},{},[28311],{"type":25,"value":28312},"Let’s say you’ve already chosen a clean room provider or integrated a data partner. That’s a solid start—but it only scratches the surface.",{"type":20,"tag":21,"props":28314,"children":28315},{},[28316],{"type":25,"value":28317},"To build a real business around your RMN, you still need:",{"type":20,"tag":903,"props":28319,"children":28320},{},[28321,28331,28341,28351,28361],{"type":20,"tag":907,"props":28322,"children":28323},{},[28324,28329],{"type":20,"tag":33,"props":28325,"children":28326},{},[28327],{"type":25,"value":28328},"A clear go-to-market (GTM) plan",{"type":25,"value":28330},": Who are you selling to? What’s your value proposition? What formats, audiences, and reporting capabilities do you offer?",{"type":20,"tag":907,"props":28332,"children":28333},{},[28334,28339],{"type":20,"tag":33,"props":28335,"children":28336},{},[28337],{"type":25,"value":28338},"A compelling advertiser offering",{"type":25,"value":28340},": Inventory alone isn’t enough. 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If it takes months, you’ll lose momentum—and clients.",{"type":20,"tag":907,"props":28352,"children":28353},{},[28354,28359],{"type":20,"tag":33,"props":28355,"children":28356},{},[28357],{"type":25,"value":28358},"Sales enablement",{"type":25,"value":28360},": Your commercial teams need the right tools and narratives to sell effectively.",{"type":20,"tag":907,"props":28362,"children":28363},{},[28364,28369],{"type":20,"tag":33,"props":28365,"children":28366},{},[28367],{"type":25,"value":28368},"Finance and legal infrastructure",{"type":25,"value":28370},": Billing models, usage permissions, data rights, and compliance all need to be defined and operationalized.",{"type":20,"tag":21,"props":28372,"children":28373},{},[28374],{"type":25,"value":28375},"Data might be the engine—but without the chassis, wheels, and fuel, you’re not going anywhere. You can’t sell ad inventory with a connection string. You need a company strategy.",{"type":20,"tag":1495,"props":28377,"children":28379},{"id":28378},"what-narrative-solves",[28380],{"type":25,"value":28381},"What Narrative Solves",{"type":20,"tag":21,"props":28383,"children":28384},{},[28385],{"type":25,"value":28386},"At Narrative, we’ve worked closely with retailers launching RMNs, and we understand the friction that often stalls progress. 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That means:",{"type":20,"tag":903,"props":28486,"children":28487},{},[28488,28498,28508],{"type":20,"tag":907,"props":28489,"children":28490},{},[28491,28496],{"type":20,"tag":33,"props":28492,"children":28493},{},[28494],{"type":25,"value":28495},"Defining clear objectives and KPIs",{"type":25,"value":28497},": Are you optimizing for revenue? Margin? Market penetration? Pick a lane and communicate it clearly.",{"type":20,"tag":907,"props":28499,"children":28500},{},[28501,28506],{"type":20,"tag":33,"props":28502,"children":28503},{},[28504],{"type":25,"value":28505},"Establishing ownership",{"type":25,"value":28507},": Who owns what? 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Treat it like the business it truly is.",{"type":20,"tag":21,"props":28550,"children":28551},{},[28552,28553],{"type":25,"value":27938},{"type":20,"tag":44,"props":28554,"children":28556},{"href":2150,"rel":28555},[538],[28557],{"type":20,"tag":33,"props":28558,"children":28559},{},[28560],{"type":25,"value":7548},{"title":8,"searchDepth":193,"depth":193,"links":28562},[28563,28564,28565,28566,28567,28568],{"id":28283,"depth":193,"text":28286},{"id":28304,"depth":193,"text":28307},{"id":28378,"depth":193,"text":28381},{"id":28432,"depth":193,"text":28435},{"id":28476,"depth":193,"text":28479},{"id":28525,"depth":193,"text":28528},"content:blog:rmn-company-strategy-not-data-project.md","blog/rmn-company-strategy-not-data-project.md","blog/rmn-company-strategy-not-data-project",{"loc":28253},{"_path":28574,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":28575,"description":28576,"publishDate":28577,"author":28578,"ogImage":28579,"image":28579,"tags":28580,"body":28581,"_type":195,"_id":28778,"_source":197,"_file":28779,"_stem":28780,"_extension":200,"sitemap":28781},"/blog/salesforce-tableau-acquisition","Salesforce’s Tableau Acquisition: What It's About & Why It Matters","The recent acquisition activity in the data visualization space shows just how important it is for data to be easy to access, render, and activate.","2019-06-15 11:30:00","Tyler Putterman","/img/blog/2019/06/salesforce-tableau.jpg",[21626],{"type":17,"children":28582,"toc":28772},[28583,28589,28628,28634,28639,28644,28677,28683,28688,28721,28746,28751,28757,28762,28767],{"type":20,"tag":223,"props":28584,"children":28586},{"id":28585},"what-its-about-why-its-important-and-what-it-means-for-your-data-strategy",[28587],{"type":25,"value":28588},"What it’s about, why it’s important, and what it means for your data strategy",{"type":20,"tag":21,"props":28590,"children":28591},{},[28592,28594,28601,28602,28609,28611,28618,28619,28626],{"type":25,"value":28593},"It’s been a nice few weeks to be a data visualization company. ",{"type":20,"tag":44,"props":28595,"children":28598},{"href":28596,"rel":28597},"https://www.nytimes.com/2019/06/10/technology/salesforce-tableau-deal.html",[538],[28599],{"type":25,"value":28600},"Salesforce’s acquisition of Tableau",{"type":25,"value":160},{"type":20,"tag":44,"props":28603,"children":28606},{"href":28604,"rel":28605},"https://www.nytimes.com/2019/06/06/technology/google-data-analytics-looker-acquisition.html",[538],[28607],{"type":25,"value":28608},"Google’s acquisition of Looker",{"type":25,"value":28610},", as well as ",{"type":20,"tag":44,"props":28612,"children":28615},{"href":28613,"rel":28614},"https://techcrunch.com/2019/05/14/sisense-acquires-periscope-data-to-build-integrated-data-science-and-analytics-solution/",[538],[28616],{"type":25,"value":28617},"Sisense merging with Periscope Data",{"type":25,"value":160},{"type":20,"tag":44,"props":28620,"children":28623},{"href":28621,"rel":28622},"https://www.prnewswire.com/news-releases/alteryx-acquires-clearstory-data-to-accelerate-innovation-in-data-science-and-analytics-300825146.html",[538],[28624],{"type":25,"value":28625},"Alteryx snapping up ClearStory Data",{"type":25,"value":28627},", are a clear indication of the increased need to access and utilize data assets in an easy and fast manner.",{"type":20,"tag":223,"props":28629,"children":28631},{"id":28630},"what-its-about",[28632],{"type":25,"value":28633},"What it's about",{"type":20,"tag":21,"props":28635,"children":28636},{},[28637],{"type":25,"value":28638},"Businesses have been using data to make decisions for a long time, but the sheer amount of data available today—and the ways in which it can be used and applied—has overwhelmed many businesses’ capacity to harness it for better decision-making.",{"type":20,"tag":21,"props":28640,"children":28641},{},[28642],{"type":25,"value":28643},"In order to manage all this data, data stacks have been emerging to collect, store, organize, render, and take action on data. Starting from the bottom, there are 3 main components to these data stacks:",{"type":20,"tag":2051,"props":28645,"children":28646},{},[28647,28657,28667],{"type":20,"tag":907,"props":28648,"children":28649},{},[28650,28655],{"type":20,"tag":33,"props":28651,"children":28652},{},[28653],{"type":25,"value":28654},"The data layer.",{"type":25,"value":28656}," This is the data itself, the fundamental layer, and can be made up of both first and third party assets. This could be customer records in Salesforce, or impression logs stored in Google.",{"type":20,"tag":907,"props":28658,"children":28659},{},[28660,28665],{"type":20,"tag":33,"props":28661,"children":28662},{},[28663],{"type":25,"value":28664},"The infrastructure layer.",{"type":25,"value":28666}," How the data is being stored, organized, and ultimately retrieved. This is what already existed with Google’s and Salesforce’s data platform.",{"type":20,"tag":907,"props":28668,"children":28669},{},[28670,28675],{"type":20,"tag":33,"props":28671,"children":28672},{},[28673],{"type":25,"value":28674},"The visualization layer.",{"type":25,"value":28676}," How the data is being rendered and manipulated, based on the infrastructure. This is what Salesforce and Google are acquiring: A way to visualize and understand their data in order to enable them to make decisions based off of it.",{"type":20,"tag":223,"props":28678,"children":28680},{"id":28679},"why-its-important",[28681],{"type":25,"value":28682},"Why it's important",{"type":20,"tag":21,"props":28684,"children":28685},{},[28686],{"type":25,"value":28687},"Why are we seeing this activity by so many significant players happening right now? There are a number of trends in the data space that help us understand why having a robust data visualization capacity is suddenly so important:",{"type":20,"tag":903,"props":28689,"children":28690},{},[28691,28701,28711],{"type":20,"tag":907,"props":28692,"children":28693},{},[28694,28699],{"type":20,"tag":33,"props":28695,"children":28696},{},[28697],{"type":25,"value":28698},"Growing emphasis on utility across departments.",{"type":25,"value":28700}," We have been beholden to a world of siloed data; even practitioners within the same company are not necessarily using the same data assets when they should be. It’s not uncommon right now for a data science team to be using raw logs to derive insights and test hypotheses, and for a media activation or ad sales team to be using segment data to activate against those exact insights the data science team surfaced. It doesn’t make sense to use one data set to make a decision, and a separate data set to activate that same decision.",{"type":20,"tag":907,"props":28702,"children":28703},{},[28704,28709],{"type":20,"tag":33,"props":28705,"children":28706},{},[28707],{"type":25,"value":28708},"Increase in sophistication of data use cases.",{"type":25,"value":28710}," Coupled with the increased depth and breadth of data, more sophisticated use cases with data use means more data will be used, requiring a stack to manage the various layers and components.",{"type":20,"tag":907,"props":28712,"children":28713},{},[28714,28719],{"type":20,"tag":33,"props":28715,"children":28716},{},[28717],{"type":25,"value":28718},"Greater importance of seamless integration of first and third party data.",{"type":25,"value":28720}," Of course first party data is extremely valuable, and will continue to be so, but increasingly, organizations will need third party data to move their business forward in an intelligent manner. For real insights and actions to come from these assets, though, first and third party data need to be interoperable. If you think third party data “doesn’t work,” it’s likely because it hasn’t been well integrated with what you already know about your customers in your first party data.",{"type":20,"tag":7566,"props":28722,"children":28723},{},[28724,28729,28734],{"type":20,"tag":21,"props":28725,"children":28726},{},[28727],{"type":25,"value":28728},"Even five years ago, very few companies were equipped to leverage external data. Most companies still did not analyze their own data!",{"type":20,"tag":21,"props":28730,"children":28731},{},[28732],{"type":25,"value":28733},"But as companies get better and better at finding insights in their internal data, they will look externally for data more and more.",{"type":20,"tag":21,"props":28735,"children":28736},{},[28737,28739],{"type":25,"value":28738},"— Auren Hoffman (@auren) ",{"type":20,"tag":44,"props":28740,"children":28743},{"href":28741,"rel":28742},"https://twitter.com/auren/status/1138129578424094721?ref_src=twsrc%5Etfw",[538],[28744],{"type":25,"value":28745},"June 10, 2019",{"type":20,"tag":21,"props":28747,"children":28748},{},[28749],{"type":25,"value":28750},"What these trends indicate is both a growing use of data by functions across the enterprise, and a growing complexity of the data being used. However, if all functions who need the data for their respective reasons can’t easily access, render, and activate that data, it doesn’t really matter how much data you have or how good it is. These acquisitions address that by removing some of the friction between the different layers and helping democratize data within an organization.",{"type":20,"tag":223,"props":28752,"children":28754},{"id":28753},"what-does-this-mean-for-me",[28755],{"type":25,"value":28756},"What does this mean for me?",{"type":20,"tag":21,"props":28758,"children":28759},{},[28760],{"type":25,"value":28761},"While making data easy to access, render, and activate is a must for any data-driven organization, it doesn’t matter much if the 3 Vs of data—volume, variety, and velocity—are not mastered first. And the fact of the matter is that most of us are still stuck in the era of data being heavy, disparate, slow, and cumbersome to acquire, analyze, and activate.",{"type":20,"tag":21,"props":28763,"children":28764},{},[28765],{"type":25,"value":28766},"To power data visualization in a way that enables proper decision-making, organizations must have access to a high volume of highly varied data points, and must be able to access them at a high velocity.",{"type":20,"tag":21,"props":28768,"children":28769},{},[28770],{"type":25,"value":28771},"Narrative can help simplify and bridge the data layer with the infrastructure layer in such a way that allows you to render the data with your preferred data visualization product or in-house capabilities. Suppliers in our Narrative marketplace can help with the breadth and depth—or the variety and volume—of data, and our core platform capabilities of aggregating, normalizing, de-duplicating and formatting across multiple supply partners increases the velocity in which you can acquire and activate data, and make it very easy for you to make informed, data driven business decisions.",{"title":8,"searchDepth":193,"depth":193,"links":28773},[28774,28775,28776,28777],{"id":28585,"depth":380,"text":28588},{"id":28630,"depth":380,"text":28633},{"id":28679,"depth":380,"text":28682},{"id":28753,"depth":380,"text":28756},"content:blog:salesforce-tableau-acquisition.md","blog/salesforce-tableau-acquisition.md","blog/salesforce-tableau-acquisition",{"loc":28574},{"_path":3646,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":28783,"description":28784,"publishDate":28785,"author":12,"ogImage":28786,"image":28786,"tags":28787,"body":28788,"_type":195,"_id":28983,"_source":197,"_file":28984,"_stem":28985,"_extension":200,"sitemap":28986},"Seamlessly Acquire Data from Numerous Sources with Rosetta Stone","Narrative's Rosetta Stone makes it possible to buy lots of instantly-usable data from numerous suppliers at once. Learn how it works!","2022-05-18 17:40:38","/img/blog/2022/05/narrativeio-jobpost-01-2.png",[],{"type":17,"children":28789,"toc":28981},[28790,28795,28800,28805,28810,28819,28830,28838,28846,28854,28859,28871,28876,28881,28889,28898,28903,28914,28933,28938,28964],{"type":20,"tag":21,"props":28791,"children":28792},{},[28793],{"type":25,"value":28794},"Every company collects and stores data differently, speaking their own data “language” that can be understood by internal systems, programs, and analysts. Since so many different “languages” are being used across the data ecosystem, it can be a time-consuming and labor-intensive process to decipher that data and translate it to be used outside of its original format. This has proven to be a major roadblock for efficient data transactions.",{"type":20,"tag":21,"props":28796,"children":28797},{},[28798],{"type":25,"value":28799},"Narrative’s Rosetta Stone provides the solution to this challenge. Rosetta Stone translates data from many different languages into one universal language. It takes data in its native format from each provider and normalizes it so that all of the data from different sources can be combined and compared.",{"type":20,"tag":21,"props":28801,"children":28802},{},[28803],{"type":25,"value":28804},"For instance, if three different data providers record dates as “mm/dd/yyyy,” “mm-dd-yyyy,” and “yyyy-mm-dd,” Rosetta Stone would identify all of the recorded dates as “date data” and normalize it into the same format. In this case, the data would be transformed into an output of “mm-dd-yyyy.”",{"type":20,"tag":21,"props":28806,"children":28807},{},[28808],{"type":25,"value":28809},"Once Rosetta Stone does its job, the systems acquiring and ingesting the data won’t have to factor in infinite ways to express date and time data. They’ll be able to easily identify and read the data from every provider in one format. This makes it possible to acquire data from multiple providers in one dataset. It also shaves hours off of data ingestion times and gives data engineers back time to work on more important, value-generating tasks.",{"type":20,"tag":28,"props":28811,"children":28813},{"id":28812},"how-does-rosetta-stone-work",[28814],{"type":20,"tag":33,"props":28815,"children":28816},{},[28817],{"type":25,"value":28818},"How does Rosetta Stone work?",{"type":20,"tag":21,"props":28820,"children":28821},{},[28822,28824,28828],{"type":25,"value":28823},"To illustrate an example of Rosetta Stone in action, observe the ",{"type":20,"tag":44,"props":28825,"children":28826},{"href":871},[28827],{"type":25,"value":874},{"type":25,"value":28829}," below. This data was collected by three suppliers that want to make their data available to buyers:",{"type":20,"tag":21,"props":28831,"children":28832},{},[28833],{"type":20,"tag":1630,"props":28834,"children":28837},{"alt":28835,"src":28836},"Screenshot 2023-05-15 at 2.29.21 PM","https://solutions.narrative.io/hubfs/Screenshot%202023-05-15%20at%202.29.21%20PM.png",[],{"type":20,"tag":21,"props":28839,"children":28840},{},[28841],{"type":20,"tag":1630,"props":28842,"children":28845},{"alt":28843,"src":28844},"Screenshot 2023-05-15 at 2.29.40 PM","https://solutions.narrative.io/hubfs/Screenshot%202023-05-15%20at%202.29.40%20PM.png",[],{"type":20,"tag":21,"props":28847,"children":28848},{},[28849],{"type":20,"tag":1630,"props":28850,"children":28853},{"alt":28851,"src":28852},"Screenshot 2023-05-15 at 2.29.47 PM","https://solutions.narrative.io/hubfs/Screenshot%202023-05-15%20at%202.29.47%20PM.png",[],{"type":20,"tag":21,"props":28855,"children":28856},{},[28857],{"type":25,"value":28858},"They all represent similar information, but they are stored in different formats. A buyer who wants to access this weather data, but who isn’t versed in the nuance of how the data is stored, is not going to be able to easily understand this data in order to apply it to their own missions and projects. That’s where Rosetta Stone comes into play.",{"type":20,"tag":21,"props":28860,"children":28861},{},[28862,28864,28869],{"type":25,"value":28863},"Narrative CEO Nick Jordan says the best way to think of Rosetta Stone is as a “query planner.” Someone using the ",{"type":20,"tag":44,"props":28865,"children":28866},{"href":558},[28867],{"type":25,"value":28868},"Narrative data collaboration platform",{"type":25,"value":28870}," can define the dataset that they need and Rosetta Stone will figure out how to fetch that data across suppliers, tables, and format.",{"type":20,"tag":21,"props":28872,"children":28873},{},[28874],{"type":25,"value":28875},"For instance, a buyer can determine that they want timestamp, latitude, longitude, and air temperature data and the resulting dataset will be normalized across all of those fields.",{"type":20,"tag":21,"props":28877,"children":28878},{},[28879],{"type":25,"value":28880},"Rosetta Stone can then create this combined output:",{"type":20,"tag":21,"props":28882,"children":28883},{},[28884],{"type":20,"tag":1630,"props":28885,"children":28888},{"alt":28886,"src":28887},"Screenshot 2023-05-15 at 2.29.58 PM","https://solutions.narrative.io/hubfs/Screenshot%202023-05-15%20at%202.29.58%20PM.png",[],{"type":20,"tag":28,"props":28890,"children":28892},{"id":28891},"how-do-companies-use-rosetta-stone-on-narratives-platform",[28893],{"type":20,"tag":33,"props":28894,"children":28895},{},[28896],{"type":25,"value":28897},"How do companies use Rosetta Stone on Narrative’s platform?",{"type":20,"tag":21,"props":28899,"children":28900},{},[28901],{"type":25,"value":28902},"Rosetta Stone is the secret sauce that makes Narrative the #1 data collaboration platform in the world. It allows for buyers using Narrative to scale their data acquisition and buy lots of data from numerous suppliers at once. It breaks down barriers, opens new doors, and is blazing a new trail for the data economy.",{"type":20,"tag":21,"props":28904,"children":28905},{},[28906,28908,28912],{"type":25,"value":28907},"With Rosetta Stone, a buyer just has to ask and they shall receive. Someone ",{"type":20,"tag":44,"props":28909,"children":28910},{"href":12062},[28911],{"type":25,"value":17429},{"type":25,"value":28913}," can request the data they want and Rosetta Stone will find where that data resides, transform it, and normalize it. Rosetta Stone also keeps the provenance of the data attached to the record so that buyers know where their data is coming from. This ensures quality, precision, and transparency for all data acquirers.",{"type":20,"tag":21,"props":28915,"children":28916},{},[28917,28919,28924,28926,28931],{"type":25,"value":28918},"Rosetta Stone makes buying precise third party data from numerous suppliers at once effortless. Data analysts and engineers often sink too much time into ",{"type":20,"tag":44,"props":28920,"children":28921},{"href":15347},[28922],{"type":25,"value":28923},"data cleansing",{"type":25,"value":28925}," and normalization across disparate datasets. The tedious task of ",{"type":20,"tag":44,"props":28927,"children":28928},{"href":15347},[28929],{"type":25,"value":28930},"cleaning",{"type":25,"value":28932}," and formatting any data you’ve acquired is taken care of for you on the backend. Data can be taken from several providers and delivered to a buyer’s preferred endpoint in a preferred format within hours.",{"type":20,"tag":21,"props":28934,"children":28935},{},[28936],{"type":25,"value":28937},"As a data seller, you also won’t need to worry about transforming your data to be ingested by a potential buyer. You can upload all of your raw data into Narrative as it is natively stored. Rosetta Stone then makes it possible to combine datasets and create data products that will be instantly compatible with a buyer’s systems once they’ve ingested it.",{"type":20,"tag":21,"props":28939,"children":28940},{},[28941,28943,28948,28950,28955,28957,28962],{"type":25,"value":28942},"Whether you are looking to ",{"type":20,"tag":44,"props":28944,"children":28945},{"href":12062},[28946],{"type":25,"value":28947},"buy data",{"type":25,"value":28949}," to improve internal operations and strategies, ",{"type":20,"tag":44,"props":28951,"children":28952},{"href":620},[28953],{"type":25,"value":28954},"sell data",{"type":25,"value":28956}," to generate a brand new revenue stream, or ",{"type":20,"tag":44,"props":28958,"children":28959},{"href":6874},[28960],{"type":25,"value":28961},"share data internally",{"type":25,"value":28963}," across your organization, Narrative’s Rosetta Stone makes fast and seamless data transference a reality.",{"type":20,"tag":21,"props":28965,"children":28966},{},[28967,28972,28973],{"type":20,"tag":33,"props":28968,"children":28969},{},[28970],{"type":25,"value":28971},"Narrative's Rosetta Stone makes buying and selling data easier than ever.",{"type":25,"value":177},{"type":20,"tag":44,"props":28974,"children":28975},{"href":180},[28976],{"type":20,"tag":33,"props":28977,"children":28978},{},[28979],{"type":25,"value":28980},"Our experts can help you get started!",{"title":8,"searchDepth":193,"depth":193,"links":28982},[],"content:blog:seamlessly-acquire-data-with-rosetta-stone.md","blog/seamlessly-acquire-data-with-rosetta-stone.md","blog/seamlessly-acquire-data-with-rosetta-stone",{"loc":3646},{"_path":28988,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":28989,"description":28990,"publishDate":28991,"author":3094,"ogImage":28992,"image":28992,"tags":28993,"authorSlug":3099,"body":28995,"_type":195,"_id":29171,"_source":197,"_file":29172,"_stem":29173,"_extension":200,"sitemap":29174},"/blog/setting-the-stage-for-retail-recovery","Changing the Narrative: Setting the Stage for Retail Recovery","Artificial intelligence and real-time analytics will be the drivers of post-COVID recovery for the retail industry, providing the information needed to restructure inventory and service for an uncertain future.","2020-08-03 20:06:44","/img/blog/2020/08/EdiNjVvXgAAgvCf.jpeg",[28994,10574],"changing the narrative",{"type":17,"children":28996,"toc":29166},[28997,29003,29027,29032,29046,29051,29057,29071,29076,29081,29086,29091,29097,29102,29115,29120,29126,29131,29144,29161],{"type":20,"tag":5193,"props":28998,"children":29000},{"id":28999},"the-impacts-of-covid-19-on-the-retail-sector-exposed-the-need-for-retailers-to-better-plan-for-future-business-disruptions-artificial-intelligence-and-real-time-analytics-will-be-the-drivers-of-post-covid-recovery-for-the-retail-industry-providing-the-information-needed-to-restructure-inventory-and-service-for-an-uncertain-future",[29001],{"type":25,"value":29002},"The impacts of COVID-19 on the retail sector exposed the need for retailers to better plan for future business disruptions. Artificial intelligence and real-time analytics will be the drivers of post-COVID recovery for the retail industry, providing the information needed to restructure inventory and service for an uncertain future",{"type":20,"tag":21,"props":29004,"children":29005},{},[29006],{"type":20,"tag":2347,"props":29007,"children":29008},{},[29009,29011,29018,29019,29026],{"type":25,"value":29010},"A version of this article was first published on TotalRetail in ",{"type":20,"tag":44,"props":29012,"children":29015},{"href":29013,"rel":29014},"https://www.mytotalretail.com/article/changing-the-narrative-setting-the-stage-for-retail-recovery-part-i/",[538],[29016],{"type":25,"value":29017},"two",{"type":25,"value":177},{"type":20,"tag":44,"props":29020,"children":29023},{"href":29021,"rel":29022},"https://www.mytotalretail.com/article/changing-the-narrative-setting-the-stage-for-retail-recovery-part-2/",[538],[29024],{"type":25,"value":29025},"parts",{"type":25,"value":191},{"type":20,"tag":21,"props":29028,"children":29029},{},[29030],{"type":25,"value":29031},"At the start of 2020, the biggest challenges for the retail industry were issues such as market saturation, finding new ways for old and aging brands to stay relevant, and the impact of new technologies and innovations. No one anticipated the greatest challenge of 2020 — and beyond — would be a pandemic that shut down the world.",{"type":20,"tag":21,"props":29033,"children":29034},{},[29035,29037,29044],{"type":25,"value":29036},"According to ",{"type":20,"tag":44,"props":29038,"children":29041},{"href":29039,"rel":29040},"https://www.mckinsey.com/industries/retail/our-insights/how-retailers-are-preparing-for-the-post-coronavirus-recovery",[538],[29042],{"type":25,"value":29043},"McKinsey",{"type":25,"value":29045},", 80 percent of U.S. retailers shut down at least part of their business operations, and 44 percent closed their doors altogether during stay-at-home orders. Yet many of these respondents anticipate that, when stores reopen to full business, they will return to pre-crisis levels, and perhaps even be stronger. Those that could turn to e-commerce operations did so with some success, and this shift has many in the industry looking at a change in how they’ll do business going forward.",{"type":20,"tag":21,"props":29047,"children":29048},{},[29049],{"type":25,"value":29050},"However, because most medical experts expect a second wave of COVID-19 and because they warn of other major public health crises in our future, retailers can’t just plan for the short term in a post-COVID world. They need to plan for survival during long-term shutdowns and stalled operations. The best way to approach this plan is with data-driven solutions.",{"type":20,"tag":223,"props":29052,"children":29054},{"id":29053},"data-driven-reinvention-of-retail-and-the-customer-experience",[29055],{"type":25,"value":29056},"Data-driven reinvention of retail and the customer experience",{"type":20,"tag":21,"props":29058,"children":29059},{},[29060,29062,29069],{"type":25,"value":29061},"While retailers are optimistic about the future, ",{"type":20,"tag":44,"props":29063,"children":29066},{"href":29064,"rel":29065},"https://www.mytotalretail.com/article/what-consumers-are-telling-us-about-covid-19-and-its-implications-for-retail/",[538],[29067],{"type":25,"value":29068},"consumers are less so",{"type":25,"value":29070},". Only 37 percent think there will be a quick rebound in the economy, and 44 percent said they were delaying purchases through the crisis due to an uncertain financial future.",{"type":20,"tag":21,"props":29072,"children":29073},{},[29074],{"type":25,"value":29075},"Retailers can’t survive if consumers aren’t buying, but how do you attract people to make nonessential purchases if they aren’t confident when or if they’ll return to their job?",{"type":20,"tag":21,"props":29077,"children":29078},{},[29079],{"type":25,"value":29080},"“Retailers can minimize current and future business impacts by identifying and executing on controllable activities,” Kelsie Marian, senior director analyst with Gartner's CIO Research Group, wrote for Retail Dive. “In the short term, they must identify and optimize existing technologies and business models. In the longer term, the focus should be on evolving business models and enabling transformational change with new and emerging technology.”",{"type":20,"tag":21,"props":29082,"children":29083},{},[29084],{"type":25,"value":29085},"The driving factor that makes these technologies successful is how well they utilize data. During the worst of the pandemic’s shutdown orders, essential retailers struggled to meet the supply and demand of items. Toilet paper, cleaning supplies, hand soap and sanitizers, yeast and flour, canned vegetables, meat, and even bottled water have been nearly impossible to find in many locations. Retailers relied on the data of normal customer shopping habits and weren’t able to make the pivot necessary to meet increased consumer needs.",{"type":20,"tag":21,"props":29087,"children":29088},{},[29089],{"type":25,"value":29090},"However, it wasn’t just retailers managing this shift; supply chains also had to adapt. As offices and restaurants remain closed, more emphasis will be on individuals making smaller purchases rather than on supplies sent to warehouses waiting for industrial orders. The challenge with data-driven models is that there's no history for this type of data analysis. While you might have been able to predict an increased need for toilet paper, no one anticipated millions of households would begin baking their own bread. With expectations that remote work will remain high and uncertainty around how other industries will recover, retailers can no longer rely on historical data to stock shelves.",{"type":20,"tag":223,"props":29092,"children":29094},{"id":29093},"artificial-intelligence-is-key-to-rebuilding-retail-business-operations",[29095],{"type":25,"value":29096},"Artificial intelligence is key to rebuilding retail business operations",{"type":20,"tag":21,"props":29098,"children":29099},{},[29100],{"type":25,"value":29101},"Artificial intelligence (AI) and machine learning, however, could be the key to providing retailers with the tools they need to recover and rebuild their business operations. AI offers the technology needed to make swift adjustments when situations change in a matter of hours. It can quickly detect patterns in the data that separate real-time information from background noise.",{"type":20,"tag":21,"props":29103,"children":29104},{},[29105,29107,29114],{"type":25,"value":29106},"“By alerting the retailer of emerging trends that human analysis would miss, AI gives retailers time to change product mixes, merchandising, messaging, etc., to increase sales,” Geoff Watts, CEO of retail technology firm EDITED, told ",{"type":20,"tag":44,"props":29108,"children":29111},{"href":29109,"rel":29110},"https://www.pymnts.com/news/retail/2020/ai-holds-answers-for-post-covid-future/",[538],[29112],{"type":25,"value":29113},"PYMNTS.com",{"type":25,"value":191},{"type":20,"tag":21,"props":29116,"children":29117},{},[29118],{"type":25,"value":29119},"One thing AI can do is track multiple and disparate sources of data and parse that information into something specific that retailers can use to anticipate what they should have in stores and how consumers are behaving. For example, AI offered glimpses into what was happening in China in the early winter, not just with the virus, but within the supply chain. Similar data could have investigated the buying habits of Europeans, where countries were on strict lockdown. That data could have then been translated for American retailers to anticipate what consumers were buying in person, what they were buying online, and where shortfalls would be in the supply chain.",{"type":20,"tag":223,"props":29121,"children":29123},{"id":29122},"real-time-data-and-analytics-is-crucial",[29124],{"type":25,"value":29125},"Real-time data and analytics is crucial",{"type":20,"tag":21,"props":29127,"children":29128},{},[29129],{"type":25,"value":29130},"COVID-19 hasn’t been all doom and gloom for the retail industry. Online retailers saw a boom in business in March, with sectors like home goods, athletic supplies, and loungewear seeing record numbers. Shopping online made sense, but why did those particular sectors do so well? They sold products that met the needs of people spending all of their time at home. Not only did they need flour and yeast to make bread, but they also needed the right cookware. With gyms off-limits, consumers wanted workout equipment. And yoga pants are perfect Netflix-binging attire.",{"type":20,"tag":21,"props":29132,"children":29133},{},[29134,29136,29142],{"type":25,"value":29135},"“Retailers need to have an agile, real-time focus — this applies to all areas of the business, including but not limited to marketing, cash management, inventory management, and supply chain,” stated ",{"type":20,"tag":44,"props":29137,"children":29139},{"href":29064,"rel":29138},[538],[29140],{"type":25,"value":29141},"Total Retail",{"type":25,"value":29143},". “An example of this is using real-time analytics and data to quickly pivot marketing/media dollars to capture demand in the online channel.” Those retail sectors that did well during the shutdown had the items consumers wanted. With the country reopening, those needs will shift, and real-time data and analytics should be advising that yoga pants buyers now need new work clothes.",{"type":20,"tag":21,"props":29145,"children":29146},{},[29147,29149,29159],{"type":25,"value":29148},"The challenge isn’t just adjusting to the current consumer mind-set, but also coming up with solutions to stay afloat if customers don’t return to pre-March levels of purchasing or a second wave creates a setback. Here’s where data about consumers can help retailers be creative and stay in business. According to the ",{"type":20,"tag":44,"props":29150,"children":29153},{"href":29151,"rel":29152},"https://hbr.org/2020/04/how-retailers-can-reach-consumers-who-arent-spending",[538],[29154],{"type":20,"tag":2347,"props":29155,"children":29156},{},[29157],{"type":25,"value":29158},"Harvard Business Review",{"type":25,"value":29160},", “Knowledge of your customers has never been more valuable to your business. Marketers need to analyze data about their customers’ behaviors and buying habits on a daily basis to learn what's changing and what's not. What new unmet needs have emerged? What new pain points have surfaced? What new markets are emerging for your company?” Also use that data to create unique opportunities for regular customers that subtly encourage them to make a purchase. Hold an online book discussion and offer that book and corresponding products for sale. Fitness centers are using data to help determine their most popular classes and offering them online to members and potential members.",{"type":20,"tag":21,"props":29162,"children":29163},{},[29164],{"type":25,"value":29165},"Retailers have long depended on data to build a loyal customer base. Those strategies, like loyalty programs and sending targeted coupons or product suggestions while shopping, will encourage your customers to return when they can. But retailers thrive when they attract new business. Data will now be the driver for post-COVID recovery, as retailers discover how data and technologies offer the information needed to restructure inventory and service in what promises to be a very unsettled future.",{"title":8,"searchDepth":193,"depth":193,"links":29167},[29168,29169,29170],{"id":29053,"depth":380,"text":29056},{"id":29093,"depth":380,"text":29096},{"id":29122,"depth":380,"text":29125},"content:blog:setting-the-stage-for-retail-recovery.md","blog/setting-the-stage-for-retail-recovery.md","blog/setting-the-stage-for-retail-recovery",{"loc":28988},{"_path":29176,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":29177,"description":29178,"publishDate":29179,"author":3094,"ogImage":29180,"image":29180,"tags":29181,"authorSlug":3099,"body":29182,"_type":195,"_id":29596,"_source":197,"_file":29597,"_stem":29598,"_extension":200,"sitemap":29599},"/blog/six-things-to-do-before-you-sell-data","Six Things To Do Before You Sell Data","Before monetizing, data companies need to take a thoughtful approach to understand the size of the opportunity and setting themselves up for success.","2020-03-30 19:25:07","/img/blog/2020/03/selling-data.png",[209,610],{"type":17,"children":29183,"toc":29587},[29184,29201,29207,29212,29217,29222,29255,29261,29273,29312,29317,29323,29328,29332,29376,29388,29394,29399,29404,29409,29414,29420,29425,29444,29449,29467,29472,29477,29483,29488,29493,29498,29521,29526,29532,29555,29560,29565,29571,29576],{"type":20,"tag":7566,"props":29185,"children":29186},{},[29187],{"type":20,"tag":21,"props":29188,"children":29189},{},[29190,29194,29195,29200],{"type":20,"tag":33,"props":29191,"children":29192},{},[29193],{"type":25,"value":7576},{"type":25,"value":7578},{"type":20,"tag":44,"props":29196,"children":29198},{"href":772,"rel":29197},[538],[29199],{"type":25,"value":7584},{"type":25,"value":191},{"type":20,"tag":5193,"props":29202,"children":29204},{"id":29203},"build-out-a-data-monetization-practice-that-maximizes-revenue-while-minimizing-time-and-effort",[29205],{"type":25,"value":29206},"Build out a data monetization practice that maximizes revenue while minimizing time and effort",{"type":20,"tag":21,"props":29208,"children":29209},{},[29210],{"type":25,"value":29211},"Companies are realizing that their data as an asset has intrinsic value. With that realization often comes the desire to create a data monetization business to turn that valuable asset into revenue.",{"type":20,"tag":21,"props":29213,"children":29214},{},[29215],{"type":25,"value":29216},"On paper, selling data is easy. Collect the data, sell the data, and then transfer the data. In reality, selling data is much more complicated than that.",{"type":20,"tag":21,"props":29218,"children":29219},{},[29220],{"type":25,"value":29221},"There are six important things to do and consider before you decide to build out a data business:",{"type":20,"tag":2051,"props":29223,"children":29224},{},[29225,29230,29235,29240,29245,29250],{"type":20,"tag":907,"props":29226,"children":29227},{},[29228],{"type":25,"value":29229},"Create a long-term business plan",{"type":20,"tag":907,"props":29231,"children":29232},{},[29233],{"type":25,"value":29234},"Take inventory of your data",{"type":20,"tag":907,"props":29236,"children":29237},{},[29238],{"type":25,"value":29239},"Develop a point of view",{"type":20,"tag":907,"props":29241,"children":29242},{},[29243],{"type":25,"value":29244},"Beware of data brokers",{"type":20,"tag":907,"props":29246,"children":29247},{},[29248],{"type":25,"value":29249},"Decide which channels to use",{"type":20,"tag":907,"props":29251,"children":29252},{},[29253],{"type":25,"value":29254},"Be diligent about data regulations",{"type":20,"tag":223,"props":29256,"children":29258},{"id":29257},"_1-create-a-long-term-business-plan",[29259],{"type":25,"value":29260},"1. Create a long-term business plan",{"type":20,"tag":21,"props":29262,"children":29263},{},[29264,29266,29271],{"type":25,"value":29265},"“Data is the new oil” is an overused but apt phrase. What data is ",{"type":20,"tag":2347,"props":29267,"children":29268},{},[29269],{"type":25,"value":29270},"not",{"type":25,"value":29272}," is a “free lunch.” Launching a data monetization effort is going to require an investment of time and resources to be successful.",{"type":20,"tag":21,"props":29274,"children":29275},{},[29276,29278,29284,29285,29290,29291,29297,29298,29303,29304,29310],{"type":25,"value":29277},"Building a data business typically requires input from senior management, ",{"type":20,"tag":44,"props":29279,"children":29281},{"href":29280},"/roles/sales",[29282],{"type":25,"value":29283},"sales",{"type":25,"value":152},{"type":20,"tag":44,"props":29286,"children":29288},{"href":29287},"/roles/product-managers",[29289],{"type":25,"value":26387},{"type":25,"value":152},{"type":20,"tag":44,"props":29292,"children":29294},{"href":29293},"/roles/legal-compliance",[29295],{"type":25,"value":29296},"legal",{"type":25,"value":152},{"type":20,"tag":44,"props":29299,"children":29301},{"href":29300},"/roles/data-engineer",[29302],{"type":25,"value":2665},{"type":25,"value":152},{"type":20,"tag":44,"props":29305,"children":29307},{"href":29306},"/roles/business-analysts",[29308],{"type":25,"value":29309},"analytics",{"type":25,"value":29311},", and finance. Each of these teams need ongoing involvement to create a sustainable business.",{"type":20,"tag":21,"props":29313,"children":29314},{},[29315],{"type":25,"value":29316},"It’s important to be realistic: You aren’t going to create a multi-million dollar business overnight. The first year of doing data monetization typically results in a lot of learnings and a few deals. Year one can be the catalyst, however, for building long term revenue, but you won’t get there overnight.",{"type":20,"tag":223,"props":29318,"children":29320},{"id":29319},"_2-take-inventory-of-your-data",[29321],{"type":25,"value":29322},"2. Take inventory of your data",{"type":20,"tag":21,"props":29324,"children":29325},{},[29326],{"type":25,"value":29327},"Data is a nebulous term. It’s often used as shorthand to talk about a specific type of data. Before kicking off a data monetization strategy, you need to understand what types of data you have. From there you have to determine which of those data sets you’re willing to sell.",{"type":20,"tag":21,"props":29329,"children":29330},{},[29331],{"type":25,"value":12841},{"type":20,"tag":903,"props":29333,"children":29334},{},[29335,29339,29343,29347,29351,29355,29360,29364,29368,29372],{"type":20,"tag":907,"props":29336,"children":29337},{},[29338],{"type":25,"value":12849},{"type":20,"tag":907,"props":29340,"children":29341},{},[29342],{"type":25,"value":12854},{"type":20,"tag":907,"props":29344,"children":29345},{},[29346],{"type":25,"value":12859},{"type":20,"tag":907,"props":29348,"children":29349},{},[29350],{"type":25,"value":12864},{"type":20,"tag":907,"props":29352,"children":29353},{},[29354],{"type":25,"value":12869},{"type":20,"tag":907,"props":29356,"children":29357},{},[29358],{"type":25,"value":29359},"It is easy to get the data out of those systems and move them to other platforms?",{"type":20,"tag":907,"props":29361,"children":29362},{},[29363],{"type":25,"value":12879},{"type":20,"tag":907,"props":29365,"children":29366},{},[29367],{"type":25,"value":12884},{"type":20,"tag":907,"props":29369,"children":29370},{},[29371],{"type":25,"value":12889},{"type":20,"tag":907,"props":29373,"children":29374},{},[29375],{"type":25,"value":12894},{"type":20,"tag":21,"props":29377,"children":29378},{},[29379,29381,29386],{"type":25,"value":29380},"Here’s a ",{"type":20,"tag":44,"props":29382,"children":29384},{"href":12902,"rel":29383},[538],[29385],{"type":25,"value":12906},{"type":25,"value":29387}," to help you take inventory of your data and evaluate building your data monetization business.",{"type":20,"tag":223,"props":29389,"children":29391},{"id":29390},"_3-develop-a-point-of-view",[29392],{"type":25,"value":29393},"3. Develop a point of view",{"type":20,"tag":21,"props":29395,"children":29396},{},[29397],{"type":25,"value":29398},"You understand your data better than anyone else. When creating a data monetization strategy you should have a point of view about why your data is valuable to other organizations.",{"type":20,"tag":21,"props":29400,"children":29401},{},[29402],{"type":25,"value":29403},"Spend time looking at how you use your data internally and try to envision if those same techniques would apply to other companies. Estimate how much your data is worth to you and evaluate if that data valuation would apply externally. Ask yourself how many companies fit the profile of finding your data a valuable resource.",{"type":20,"tag":21,"props":29405,"children":29406},{},[29407],{"type":25,"value":29408},"The easiest monetization opportunities will be the ones that are the most familiar to you. Leveraging those use cases will give you an estimate of the opportunity size of a data business.",{"type":20,"tag":21,"props":29410,"children":29411},{},[29412],{"type":25,"value":29413},"There will likely be opportunities to sell your data for use cases you can’t contemplate. Starting with a POV and with familiar scenarios will make the early days of selling data more productive.",{"type":20,"tag":223,"props":29415,"children":29417},{"id":29416},"_4-beware-of-data-brokers",[29418],{"type":25,"value":29419},"4. Beware of data brokers",{"type":20,"tag":21,"props":29421,"children":29422},{},[29423],{"type":25,"value":29424},"The data broker industry was born to make it easier for companies to sell their data. To fulfill that promise they removed the nuance from the data sellers. That nuance is what allows companies to build long-term sustainable businesses.",{"type":20,"tag":21,"props":29426,"children":29427},{},[29428,29433,29435,29442],{"type":20,"tag":1630,"props":29429,"children":29432},{"alt":29430,"src":29431},"Table showing LiveRamp's gross margins, which were 56.2% in FY2018 and 57.7% in FY2019","https://solutions.narrative.io/hubfs/Screen%20Shot%202020-03-30%20at%201.35.37%20PM.png",[],{"type":25,"value":29434},"The typical gross margin for a data broker shows that the middle person keeps most of the value for themselves. (Source: ",{"type":20,"tag":44,"props":29436,"children":29439},{"href":29437,"rel":29438},"https://investors.liveramp.com/news-and-events/press-release-details/2019/LiveRamp-Announces-Fourth-Quarter-and-Fiscal-Year-Results/default.aspx",[538],[29440],{"type":25,"value":29441},"LiveRamp",{"type":25,"value":29443},".)",{"type":20,"tag":21,"props":29445,"children":29446},{},[29447],{"type":25,"value":29448},"Data brokers introduce three challenges to creating a scalable data monetization business:",{"type":20,"tag":2051,"props":29450,"children":29451},{},[29452,29457,29462],{"type":20,"tag":907,"props":29453,"children":29454},{},[29455],{"type":25,"value":29456},"They create opacity between buyers and sellers. Data brokers are scared that transparency will lead to buyers and sellers working directly. This opacity makes it impossible to run your data business in a thoughtful way.",{"type":20,"tag":907,"props":29458,"children":29459},{},[29460],{"type":25,"value":29461},"They remove controls from both sellers and buyers. Data brokers create a set of market mechanisms that you are forced to work with. As a seller you have very little wiggle room to run your strategy the way that best fits your goals.",{"type":20,"tag":907,"props":29463,"children":29464},{},[29465],{"type":25,"value":29466},"The commercial model employed by data brokers really only benefits them. The margins they take can run anywhere from 50 to 95%, meaning you keep very little of the value that you have created.",{"type":20,"tag":21,"props":29468,"children":29469},{},[29470],{"type":25,"value":29471},"In the short run, data brokers can seemingly make your life easier. In the long run, however, they add undue risk and put a cap on the potential for your data business.",{"type":20,"tag":21,"props":29473,"children":29474},{},[29475],{"type":25,"value":29476},"If you are unsure whether the company you are dealing with is a data broker, ask them if they themselves buy data. If a company doesn’t have their own data, yet they are an active participant in the market they are serving, they are a data broker.",{"type":20,"tag":223,"props":29478,"children":29480},{"id":29479},"_5-decide-which-channels-to-use",[29481],{"type":25,"value":29482},"5. Decide which channels to use",{"type":20,"tag":21,"props":29484,"children":29485},{},[29486],{"type":25,"value":29487},"When it comes to selling data, a number of different channels exist. We’ve already discussed data brokerages and some of the challenges they present. Beyond the pure broker model you might also consider working with a data marketplace or by selling your data directly.",{"type":20,"tag":21,"props":29489,"children":29490},{},[29491],{"type":25,"value":29492},"Data marketplaces look like an eBay for data. These marketplaces can be great places to start your data monetization journey, as they offer easy and instant access to a large number of buyers. Examples include the AWS Data Exchange, the Snowflake Data Exchange, and the Narrative Data Marketplace.",{"type":20,"tag":21,"props":29494,"children":29495},{},[29496],{"type":25,"value":29497},"You should consider the following questions when working with a data marketplace:",{"type":20,"tag":903,"props":29499,"children":29500},{},[29501,29506,29511,29516],{"type":20,"tag":907,"props":29502,"children":29503},{},[29504],{"type":25,"value":29505},"Do you have pricing controls?",{"type":20,"tag":907,"props":29507,"children":29508},{},[29509],{"type":25,"value":29510},"Can you manage which companies you are willing to sell to?",{"type":20,"tag":907,"props":29512,"children":29513},{},[29514],{"type":25,"value":29515},"What percentage of the transaction does the marketplace take?",{"type":20,"tag":907,"props":29517,"children":29518},{},[29519],{"type":25,"value":29520},"Does the marketplace have any rights to your data?",{"type":20,"tag":21,"props":29522,"children":29523},{},[29524],{"type":25,"value":29525},"If the answers to these questions align to how you want to sell data, you should work with the marketplace. If you have to make uncomfortable tradeoffs it might be worth looking for another marketplace to work.",{"type":20,"tag":223,"props":29527,"children":29529},{"id":29528},"_6-be-diligent-about-data-regulations",[29530],{"type":25,"value":29531},"6. Be diligent about data regulations",{"type":20,"tag":21,"props":29533,"children":29534},{},[29535,29537,29544,29546,29553],{"type":25,"value":29536},"There have been a number of data regulations passed recently. The regulations have been enacted by the European Union (",{"type":20,"tag":44,"props":29538,"children":29541},{"href":29539,"rel":29540},"https://en.wikipedia.org/wiki/General_Data_Protection_Regulation",[538],[29542],{"type":25,"value":29543},"GDPR",{"type":25,"value":29545},"), California (",{"type":20,"tag":44,"props":29547,"children":29550},{"href":29548,"rel":29549},"https://en.wikipedia.org/wiki/California_Consumer_Privacy_Act",[538],[29551],{"type":25,"value":29552},"CCPA",{"type":25,"value":29554},"), and others. These regulations add on to laws that have been around for years like HIPAA.",{"type":20,"tag":21,"props":29556,"children":29557},{},[29558],{"type":25,"value":29559},"These rules have been put in place to make sure that citizens have protections when companies are collecting information about them.",{"type":20,"tag":21,"props":29561,"children":29562},{},[29563],{"type":25,"value":29564},"These regulations don’t prevent you from creating data monetization businesses, rather they force companies to be more diligent when it comes to their data collection practices. Ultimately, they are designed to create a healthier more sustainable ecosystem while protecting the rights of consumers.",{"type":20,"tag":223,"props":29566,"children":29568},{"id":29567},"recap",[29569],{"type":25,"value":29570},"Recap",{"type":20,"tag":21,"props":29572,"children":29573},{},[29574],{"type":25,"value":29575},"Selling data can be a meaningful revenue stream for many companies. Like any other part of your business, data monetization requires a thoughtful approach. The companies that are the most successful at selling their data are the ones that start the process armed with information and ready to work.",{"type":20,"tag":21,"props":29577,"children":29578},{},[29579,29585],{"type":20,"tag":44,"props":29580,"children":29582},{"href":772,"rel":29581},[538],[29583],{"type":25,"value":29584},"Narrative Distribute",{"type":25,"value":29586}," helps companies tackle the complexities of data monetization. Data sellers can use Narrative Distribute as their data monetization platform of record. If you are looking to move ahead with your data selling strategy, Narrative Distribute can help you implement it and turn your strategy into reality.",{"title":8,"searchDepth":193,"depth":193,"links":29588},[29589,29590,29591,29592,29593,29594,29595],{"id":29257,"depth":380,"text":29260},{"id":29319,"depth":380,"text":29322},{"id":29390,"depth":380,"text":29393},{"id":29416,"depth":380,"text":29419},{"id":29479,"depth":380,"text":29482},{"id":29528,"depth":380,"text":29531},{"id":29567,"depth":380,"text":29570},"content:blog:six-things-to-do-before-you-sell-data.md","blog/six-things-to-do-before-you-sell-data.md","blog/six-things-to-do-before-you-sell-data",{"loc":29176},{"_path":29601,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":29602,"description":29603,"publishDate":29604,"author":1436,"ogImage":29605,"image":29605,"tags":29606,"authorSlug":1437,"body":29607,"_type":195,"_id":29865,"_source":197,"_file":29866,"_stem":29867,"_extension":200,"sitemap":29868},"/blog/smarter-identity-management","Composable Identity Management-A New Era of Flexibility and Control","Traditional identity management systems are rigid, monolithic frameworks designed to tackle every use case, often at the expense of flexibility and efficiency. While they can handle complexity, their limitations are clear—Composable Identity Management offers a smarter alternative.","2025-01-28T16:13:30.000Z","/img/blog/2025/01/smarter-identity-management.png",[1262,1263,3098],{"type":17,"children":29608,"toc":29863},[29609,29614,29622,29627,29670,29678,29683,29725,29743,29751,29756,29761,29779,29787,29792,29835,29840,29848,29853],{"type":20,"tag":21,"props":29610,"children":29611},{},[29612],{"type":25,"value":29613},"The world of identity management is undergoing a seismic shift. Traditional monolithic systems, while functional, often impose limitations that hinder scalability, flexibility, and cost-efficiency. In this rapidly evolving landscape, businesses and developers are turning to modular and adaptive solutions to meet the demands of a dynamic digital ecosystem. This transformation is paving the way for a new paradigm—Composable Identity—a more efficient, flexible, and user-centric approach to managing identities.",{"type":20,"tag":21,"props":29615,"children":29616},{},[29617],{"type":20,"tag":33,"props":29618,"children":29619},{},[29620],{"type":25,"value":29621},"The Challenges of Traditional Identity Management",{"type":20,"tag":21,"props":29623,"children":29624},{},[29625],{"type":25,"value":29626},"Conventional identity management systems are often built as monolithic entities, designed to address all potential use cases within a single, rigid framework. While these systems can handle complex needs, they come with significant drawbacks:",{"type":20,"tag":2051,"props":29628,"children":29629},{},[29630,29640,29650,29660],{"type":20,"tag":907,"props":29631,"children":29632},{},[29633,29638],{"type":20,"tag":33,"props":29634,"children":29635},{},[29636],{"type":25,"value":29637},"Costly Licensing",{"type":25,"value":29639},": Organizations are frequently required to purchase access to entire data graphs, paying for capabilities they don’t necessarily need or use.",{"type":20,"tag":907,"props":29641,"children":29642},{},[29643,29648],{"type":20,"tag":33,"props":29644,"children":29645},{},[29646],{"type":25,"value":29647},"Lack of Flexibility",{"type":25,"value":29649},": These one-size-fits-all systems struggle to adapt to unique or evolving requirements, often forcing businesses to compromise on functionality.",{"type":20,"tag":907,"props":29651,"children":29652},{},[29653,29658],{"type":20,"tag":33,"props":29654,"children":29655},{},[29656],{"type":25,"value":29657},"Scalability Issues",{"type":25,"value":29659},": Scaling a monolithic system to meet growing demands can be cumbersome and resource-intensive.",{"type":20,"tag":907,"props":29661,"children":29662},{},[29663,29668],{"type":20,"tag":33,"props":29664,"children":29665},{},[29666],{"type":25,"value":29667},"Complexity and Vendor Lock-In",{"type":25,"value":29669},": Integrating with or switching away from these systems can involve significant technical challenges and long-term dependencies.",{"type":20,"tag":21,"props":29671,"children":29672},{},[29673],{"type":20,"tag":33,"props":29674,"children":29675},{},[29676],{"type":25,"value":29677},"Embracing Composable Identity Management",{"type":20,"tag":21,"props":29679,"children":29680},{},[29681],{"type":25,"value":29682},"Composable Identity management offers a stark contrast to the traditional approach. By breaking down the system into smaller, composable components, organizations gain the ability to tailor solutions to their exact needs. Key advantages include:",{"type":20,"tag":2051,"props":29684,"children":29685},{},[29686,29696,29706,29715],{"type":20,"tag":907,"props":29687,"children":29688},{},[29689,29694],{"type":20,"tag":33,"props":29690,"children":29691},{},[29692],{"type":25,"value":29693},"Cost-Efficiency",{"type":25,"value":29695},": Businesses can pay only for the specific features or data graphs they require, avoiding the overhead of unnecessary components. This streamlined approach reduces licensing costs and ensures efficient use of resources.",{"type":20,"tag":907,"props":29697,"children":29698},{},[29699,29704],{"type":20,"tag":33,"props":29700,"children":29701},{},[29702],{"type":25,"value":29703},"Flexibility and Customization",{"type":25,"value":29705},": Composable Identity systems allow organizations to mix and match components, creating bespoke solutions that align with their unique requirements. This adaptability is particularly valuable in industries with diverse customer profiles or regulatory standards.",{"type":20,"tag":907,"props":29707,"children":29708},{},[29709,29713],{"type":20,"tag":33,"props":29710,"children":29711},{},[29712],{"type":25,"value":7062},{"type":25,"value":29714},": Individual components can be scaled independently, enabling organizations to grow their systems incrementally without the need for costly overhauls.",{"type":20,"tag":907,"props":29716,"children":29717},{},[29718,29723],{"type":20,"tag":33,"props":29719,"children":29720},{},[29721],{"type":25,"value":29722},"Improved Integration",{"type":25,"value":29724},": Modular architecture ensures seamless integration of new technologies and simplifies the process of working with multiple partners or providers.",{"type":20,"tag":21,"props":29726,"children":29727},{},[29728,29730,29734,29736,29741],{"type":25,"value":29729},"In addition, ",{"type":20,"tag":33,"props":29731,"children":29732},{},[29733],{"type":25,"value":5697},{"type":25,"value":29735}," builds on concepts familiar from ",{"type":20,"tag":33,"props":29737,"children":29738},{},[29739],{"type":25,"value":29740},"Composable CDPs",{"type":25,"value":29742}," by avoiding the double-storage or unnecessary transfer of core first-party data assets. This approach retains data within its original framework, while integrating with other graph providers’ data as needed, ensuring a privacy-first and cost-effective strategy.",{"type":20,"tag":21,"props":29744,"children":29745},{},[29746],{"type":20,"tag":33,"props":29747,"children":29748},{},[29749],{"type":25,"value":29750},"Commercial Efficiencies: Doing More with Less",{"type":20,"tag":21,"props":29752,"children":29753},{},[29754],{"type":25,"value":29755},"One of the most compelling advantages of Composable Identity management lies in its potential to drive commercial efficiencies. Traditional systems often require businesses to license and maintain access to extensive, full-scale data graphs, many of which include redundant information. This inefficiency inflates costs and complicates operations.",{"type":20,"tag":21,"props":29757,"children":29758},{},[29759],{"type":25,"value":29760},"With a composable approach, organizations can focus on what truly matters: obtaining the specific capabilities they need without unnecessary overhead. By licensing only the required data and functionality, businesses can:",{"type":20,"tag":903,"props":29762,"children":29763},{},[29764,29769,29774],{"type":20,"tag":907,"props":29765,"children":29766},{},[29767],{"type":25,"value":29768},"Reduce upfront and recurring costs.",{"type":20,"tag":907,"props":29770,"children":29771},{},[29772],{"type":25,"value":29773},"Streamline operations by eliminating unused components.",{"type":20,"tag":907,"props":29775,"children":29776},{},[29777],{"type":25,"value":29778},"Allocate resources more effectively, prioritizing core business goals over maintaining unwieldy systems.",{"type":20,"tag":21,"props":29780,"children":29781},{},[29782],{"type":20,"tag":33,"props":29783,"children":29784},{},[29785],{"type":25,"value":29786},"Narrative: Leading the Modular Revolution",{"type":20,"tag":21,"props":29788,"children":29789},{},[29790],{"type":25,"value":29791},"At the forefront of this revolution is Narrative, a pioneering identity management solution that champions flexibility, efficiency, and control. Narrative empowers organizations to:",{"type":20,"tag":2051,"props":29793,"children":29794},{},[29795,29805,29815,29825],{"type":20,"tag":907,"props":29796,"children":29797},{},[29798,29803],{"type":20,"tag":33,"props":29799,"children":29800},{},[29801],{"type":25,"value":29802},"Build Tailored Solutions",{"type":25,"value":29804},": By offering modular components, Narrative allows businesses to assemble identity management systems that align perfectly with their specific needs, no more and no less.",{"type":20,"tag":907,"props":29806,"children":29807},{},[29808,29813],{"type":20,"tag":33,"props":29809,"children":29810},{},[29811],{"type":25,"value":29812},"Optimize Costs",{"type":25,"value":29814},": With Narrative, organizations only pay for the capabilities they use, eliminating unnecessary expenditures and driving financial efficiency.",{"type":20,"tag":907,"props":29816,"children":29817},{},[29818,29823],{"type":20,"tag":33,"props":29819,"children":29820},{},[29821],{"type":25,"value":29822},"Ensure Seamless Integration",{"type":25,"value":29824},": Designed with interoperability in mind, Narrative simplifies the process of integrating its components with existing systems, minimizing downtime and disruption.",{"type":20,"tag":907,"props":29826,"children":29827},{},[29828,29833],{"type":20,"tag":33,"props":29829,"children":29830},{},[29831],{"type":25,"value":29832},"Scale Confidently",{"type":25,"value":29834},": Whether a business is a small startup or a large enterprise, Narrative’s modular architecture ensures that their identity management system can scale effortlessly alongside their growth.",{"type":20,"tag":21,"props":29836,"children":29837},{},[29838],{"type":25,"value":29839},"Moreover, Narrative’s framework makes integrating multiple partners as straightforward as integrating a single one, ensuring that organizations can efficiently scale their collaborations without encountering operational bottlenecks.",{"type":20,"tag":21,"props":29841,"children":29842},{},[29843],{"type":20,"tag":33,"props":29844,"children":29845},{},[29846],{"type":25,"value":29847},"The Path Forward",{"type":20,"tag":21,"props":29849,"children":29850},{},[29851],{"type":25,"value":29852},"As the digital landscape continues to evolve, businesses must prioritize flexibility, efficiency, and user-centric design in their identity management strategies. By embracing Composable Identity solutions like Narrative, organizations can not only overcome the limitations of traditional systems but also position themselves for long-term success in an increasingly complex and interconnected world.",{"type":20,"tag":21,"props":29854,"children":29855},{},[29856,29857],{"type":25,"value":11516},{"type":20,"tag":44,"props":29858,"children":29860},{"href":2150,"rel":29859},[538],[29861],{"type":25,"value":29862},"Let’s make identity easy—together.",{"title":8,"searchDepth":193,"depth":193,"links":29864},[],"content:blog:smarter-identity-management.md","blog/smarter-identity-management.md","blog/smarter-identity-management",{"loc":29601},{"_path":7879,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":29870,"description":29871,"publishDate":29872,"author":29873,"ogImage":29874,"image":29874,"tags":29875,"body":29876,"_type":195,"_id":30061,"_source":197,"_file":30062,"_stem":30063,"_extension":200,"sitemap":30064},"Are slow data acquisition speeds eliminating your competitive advantage?","The key to leveraging data for strategic advantage is to acquire, analyze, and implement data before competitors do. This requires an operational efficiency that most companies lack.","2019-05-16 14:07:45","Aaron Venar","/img/blog/2019/05/speed-matters.jpg",[4365,209,610],{"type":17,"children":29877,"toc":30055},[29878,29884,29889,29894,29899,29910,29915,29921,29926,29931,29936,29948,29953,29958,29964,29969,29974,29979,29984,29989,29994,29999,30005,30010,30021,30032,30037,30042],{"type":20,"tag":223,"props":29879,"children":29881},{"id":29880},"time-to-market-can-affect-your-ability-to-compete",[29882],{"type":25,"value":29883},"Time to market can affect your ability to compete",{"type":20,"tag":21,"props":29885,"children":29886},{},[29887],{"type":25,"value":29888},"In 2018, the global revenue for data sales was $19.2 billion. Eighty percent of data buyers expect to spend more in 2019. It's clear that the race is on for both buyers and sellers to capitalize on the promise of big data.",{"type":20,"tag":21,"props":29890,"children":29891},{},[29892],{"type":25,"value":29893},"For companies acquiring data, the power to unlock the information contained within the data can help capture market share, increase revenue, and potentially open up new business opportunities.",{"type":20,"tag":21,"props":29895,"children":29896},{},[29897],{"type":25,"value":29898},"For companies that distribute data, the revenue potential seems endless as the appetite for data quickly becomes reliance resulting in years of forecastable revenue.",{"type":20,"tag":21,"props":29900,"children":29901},{},[29902,29904,29909],{"type":25,"value":29903},"However, from an execution standpoint, ",{"type":20,"tag":44,"props":29905,"children":29906},{"href":19597},[29907],{"type":25,"value":29908},"some barriers threaten the dreams on both sides of the data economy",{"type":25,"value":191},{"type":20,"tag":21,"props":29911,"children":29912},{},[29913],{"type":25,"value":29914},"The key to leveraging data for strategic advantage is to acquire, analyze, and implement data before competitors do. As companies race to better understand who is in-market for a new car, suffering from allergies, or what ticker will be up this quarter, having in-the-moment data is critical to success.",{"type":20,"tag":223,"props":29916,"children":29918},{"id":29917},"how-data-is-acquired-is-as-important-as-what-data-is-acquired",[29919],{"type":25,"value":29920},"How data is acquired is as important as what data is acquired",{"type":20,"tag":21,"props":29922,"children":29923},{},[29924],{"type":25,"value":29925},"The data acquisition method has a direct effect on the usefulness of the data. The historical model requires a lot of manual labor from all parts of the organization, slowing the process and reducing the value.",{"type":20,"tag":21,"props":29927,"children":29928},{},[29929],{"type":25,"value":29930},"The process to acquire data usually begins with the business development team sourcing the data. If they can locate data of interest, a data evaluation follows, which includes both legal and engineering resources to execute.",{"type":20,"tag":21,"props":29932,"children":29933},{},[29934],{"type":25,"value":29935},"Next, data scientists perform the analysis. Keep in mind this is all to review data which may not even be of use. If the data is useful, there are still terms to agree on and ongoing data ingestion to manage.",{"type":20,"tag":21,"props":29937,"children":29938},{},[29939,29941,29946],{"type":25,"value":29940},"In the race to discover and apply new insights, the complex nature of the ",{"type":20,"tag":44,"props":29942,"children":29943},{"href":7556},[29944],{"type":25,"value":29945},"data discovery",{"type":25,"value":29947}," and acquisition process is glossed over. From beginning to end, this process can easily last six months and cost thousands of dollars in employee time and processing fees.",{"type":20,"tag":21,"props":29949,"children":29950},{},[29951],{"type":25,"value":29952},"Imagine the value of not only having access to useful data but having it months before competitors do.",{"type":20,"tag":21,"props":29954,"children":29955},{},[29956],{"type":25,"value":29957},"If Ford knows someone is in-market for a new truck weeks before Chevy does, that is a tremendous advantage. An emphasis on operational efficiency benefits all parts of an organization, saving money, and magnifying the value of the data.",{"type":20,"tag":223,"props":29959,"children":29961},{"id":29960},"home-grown-data-monetization-solutions-cost-time-and-money",[29962],{"type":25,"value":29963},"Home-grown data monetization solutions cost time and money",{"type":20,"tag":21,"props":29965,"children":29966},{},[29967],{"type":25,"value":29968},"Data distributors also have a responsibility and an opportunity to benefit from improved efficiency when monetizing data. In an increasingly sophisticated ecosystem, data distributors are no longer able to dump the firehose of data on a prospective customer and expect them to do all the work.",{"type":20,"tag":21,"props":29970,"children":29971},{},[29972],{"type":25,"value":29973},"When meeting the demands of data analysts, data must be delivered with a specific structure, in particular formats, and often filtered against other data sources. A supplier who cannot provide data in a timely fashion will lose out to those who can.",{"type":20,"tag":21,"props":29975,"children":29976},{},[29977],{"type":25,"value":29978},"Data delayed is data decayed and therefore of less value to companies paying for it. Great value can be derived when applying technology and structure to an otherwise messy process.",{"type":20,"tag":21,"props":29980,"children":29981},{},[29982],{"type":25,"value":29983},"Given the high stakes of the data economy, it is imperative buyers and sellers utilize available technology to speed up the monetization sales cycle from both sides of the equation.",{"type":20,"tag":21,"props":29985,"children":29986},{},[29987],{"type":25,"value":29988},"It is easy to put a data monetization slide together to outline how data in will result in value out. However, little consideration is given to whether data is delivered by a rocket ship or carrier pigeon.",{"type":20,"tag":21,"props":29990,"children":29991},{},[29992],{"type":25,"value":29993},"To fully recognize the value of data, buyers and sellers must work together to create an efficient transaction process.",{"type":20,"tag":21,"props":29995,"children":29996},{},[29997],{"type":25,"value":29998},"If the current manual process isn't revamped, the inefficient nature of buying and selling data threatens to slow the industry's growth.",{"type":20,"tag":223,"props":30000,"children":30002},{"id":30001},"technology-to-the-rescue",[30003],{"type":25,"value":30004},"Technology to the rescue",{"type":20,"tag":21,"props":30006,"children":30007},{},[30008],{"type":25,"value":30009},"Narrative has developed two platforms that address the specific needs of both data buyers and sellers. In offering a centralized resource by which to schedule transactions, it changes data transactions from many-to-many to a one-to-many effort. The result is an easier, transparent, and efficient process.",{"type":20,"tag":21,"props":30011,"children":30012},{},[30013,30015,30019],{"type":25,"value":30014},"With a few clicks in ",{"type":20,"tag":44,"props":30016,"children":30017},{"href":572},[30018],{"type":25,"value":17229},{"type":25,"value":30020}," platform, buyers can utilize a set of tools to discover, test, and ultimately obtain specific data types from across various providers. Data is then deduplicated and delivered in the preferred format to the desired location. The platform also tracks transactions details such as data volume and pricing.",{"type":20,"tag":21,"props":30022,"children":30023},{},[30024,30026,30030],{"type":25,"value":30025},"Similarly, suppliers can manage data sales via ",{"type":20,"tag":44,"props":30027,"children":30028},{"href":572},[30029],{"type":25,"value":17229},{"type":25,"value":30031},". Filters can be applied to the data, such as matches to specific IDs or locations, and set up to fulfill on an ongoing basis. Utilizing the Narrative platform reduces the reliance on the engineering team to prepare and send data, and gets data to market more quickly.",{"type":20,"tag":21,"props":30033,"children":30034},{},[30035],{"type":25,"value":30036},"The goal here is to eliminate or reduce the manual and repetitive tasks and process which currently slow down data from being bought and sold. The result: you get to spend time producing excellent outcomes with the data, not figuring out how to best deliver or ingest it.",{"type":20,"tag":21,"props":30038,"children":30039},{},[30040],{"type":25,"value":30041},"Narrative has a solution to move the data economy forward by allowing buyers and sellers to come together more efficiently and that is good for everyone.",{"type":20,"tag":21,"props":30043,"children":30044},{},[30045],{"type":20,"tag":33,"props":30046,"children":30047},{},[30048,30050],{"type":25,"value":30049},"Want to learn more about how Narrative can help you boost your speed to market and supercharge your data strategy? ",{"type":20,"tag":44,"props":30051,"children":30052},{"href":180},[30053],{"type":25,"value":30054},"Schedule a call with our team.",{"title":8,"searchDepth":193,"depth":193,"links":30056},[30057,30058,30059,30060],{"id":29880,"depth":380,"text":29883},{"id":29917,"depth":380,"text":29920},{"id":29960,"depth":380,"text":29963},{"id":30001,"depth":380,"text":30004},"content:blog:speed-matters.md","blog/speed-matters.md","blog/speed-matters",{"loc":7879},{"_path":30066,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":30067,"description":30068,"publishDate":30069,"author":1927,"ogImage":30070,"image":30070,"tags":30071,"authorSlug":1932,"body":30073,"_type":195,"_id":30649,"_source":197,"_file":30650,"_stem":30651,"_extension":200,"sitemap":30652},"/blog/streamlining-data-collaboration-with-nql","Streamlining Data Collaboration with NQL: Commingling Standardized and Raw Data","NQL allows users to effortlessly blend their own data with standardized attributes from first-party and third-party sources in a single query.","2024-02-22 16:33:10","/img/blog/2024/02/collaborating-with-NQL.png",[1262,1263,30072,1264],"NQL",{"type":17,"children":30074,"toc":30638},[30075,30080,30086,30091,30100,30103,30109,30112,30118,30123,30198,30203,30212,30215,30224,30227,30233,30238,30247,30263,30469,30493,30499,30504,30513,30516,30540,30549,30604,30613,30618,30623],{"type":20,"tag":21,"props":30076,"children":30077},{},[30078],{"type":25,"value":30079},"At Narrative, we're constantly pushing the boundaries of data collaboration and efficiency. Our latest release in the Narrative Query Language (NQL) marks a significant leap forward, enabling users to effortlessly blend their own data with standardized attributes from first-party and third-party sources in a single query. This functionality isn't just an upgrade; it's a revolution in how data scientists, engineers, and product managers manage data across various formats.",{"type":20,"tag":223,"props":30081,"children":30083},{"id":30082},"rosetta-stone-for-your-data",[30084],{"type":25,"value":30085},"Rosetta Stone for your data",{"type":20,"tag":21,"props":30087,"children":30088},{},[30089],{"type":25,"value":30090},"The standout feature of this release is the introduction of the _rosetta_stone namespace. This breakthrough allows for seamless access to both the raw column and the normalized 'attribute version' of a column. This means you can compare columns with attributes alongside those without, all in one fluid query, regardless of the original data schema or format.",{"type":20,"tag":10737,"props":30092,"children":30095},{"className":30093,"code":30094,"language":10742,"meta":8},[10740],"SELECT\n    my_dataset._rosetta_stone.\"attribute\"\nFROM\n    company_data.my_dataset AS my_dataset\n",[30096],{"type":20,"tag":10745,"props":30097,"children":30098},{"__ignoreMap":8},[30099],{"type":25,"value":30094},{"type":20,"tag":2006,"props":30101,"children":30102},{},[],{"type":20,"tag":223,"props":30104,"children":30106},{"id":30105},"solving-real-business-challenges",[30107],{"type":25,"value":30108},"Solving Real Business Challenges",{"type":20,"tag":2006,"props":30110,"children":30111},{},[],{"type":20,"tag":223,"props":30113,"children":30115},{"id":30114},"scenario-targeted-marketing-insights",[30116],{"type":25,"value":30117},"Scenario: Targeted Marketing Insights",{"type":20,"tag":21,"props":30119,"children":30120},{},[30121],{"type":25,"value":30122},"Imagine you're a data scientist at a retail company, tasked with creating a targeted marketing campaign. Your challenge? Combining customer interaction data from your CRM with demographic information from a third-party dataset. In the NQL query below, we leverage the power of Narrative's Rosetta Stone to effortlessly combine diverse datasets for targeted marketing insights. Here's how we simplify the process:",{"type":20,"tag":903,"props":30124,"children":30125},{},[30126,30147,30177],{"type":20,"tag":907,"props":30127,"children":30128},{},[30129,30134,30136,30145],{"type":20,"tag":33,"props":30130,"children":30131},{},[30132],{"type":25,"value":30133},"Normalized Email Joins",{"type":25,"value":30135},": We use a unified ",{"type":20,"tag":33,"props":30137,"children":30138},{},[30139],{"type":20,"tag":10745,"props":30140,"children":30142},{"className":30141},[],[30143],{"type":25,"value":30144},"hashed_email",{"type":25,"value":30146}," attribute to seamlessly link customer data across different sources. This means no matter how emails are stored across datasets, we can easily match them up.",{"type":20,"tag":907,"props":30148,"children":30149},{},[30150,30155,30157,30165,30166,30175],{"type":20,"tag":33,"props":30151,"children":30152},{},[30153],{"type":25,"value":30154},"Unified Demographic Attributes",{"type":25,"value":30156},": By tapping into normalized ",{"type":20,"tag":33,"props":30158,"children":30159},{},[30160],{"type":20,"tag":10745,"props":30161,"children":30163},{"className":30162},[],[30164],{"type":25,"value":10827},{"type":25,"value":160},{"type":20,"tag":33,"props":30167,"children":30168},{},[30169],{"type":20,"tag":10745,"props":30170,"children":30172},{"className":30171},[],[30173],{"type":25,"value":30174},"age",{"type":25,"value":30176}," attributes, we integrate varied representations of these demographics into a standard format. This allows us to focus on specific customer segments without worrying about data inconsistencies.",{"type":20,"tag":907,"props":30178,"children":30179},{},[30180,30185,30187,30196],{"type":20,"tag":33,"props":30181,"children":30182},{},[30183],{"type":25,"value":30184},"Efficient Data Selection",{"type":25,"value":30186},": The query mixes raw data (like ",{"type":20,"tag":33,"props":30188,"children":30189},{},[30190],{"type":20,"tag":10745,"props":30191,"children":30193},{"className":30192},[],[30194],{"type":25,"value":30195},"favorite_store",{"type":25,"value":30197},") with these standardized demographics, providing a rich, detailed view of our target audience in fewer steps and with less code.",{"type":20,"tag":21,"props":30199,"children":30200},{},[30201],{"type":25,"value":30202},"This approach significantly reduces the complexity of joining and analyzing data from multiple sources, making it more accessible to marketers and data scientists looking to gain insights into their customer base.",{"type":20,"tag":10737,"props":30204,"children":30207},{"className":30205,"code":30206,"language":10742,"meta":8},[10740],"SELECT\n    your_data._rosetta_stone.hashed_email.value AS my_emails,\n    your_data.favorite_store,\n    narrative.rosetta_stone.hl7_gender.gender,\n    narrative.rosetta_stone.age\nFROM\n    company_data.my_crm_dataset AS your_data\nJOIN\n    narrative.rosetta_stone AS third_party_data\nON\n    your_data.hashed_email.value = third_party_data.hashed_email.value\nWHERE\n    third_party_data.gender = 'female'\n    AND third_party_data.age BETWEEN 20 AND 30\n    AND my_emails IS NOT NULL\n",[30208],{"type":20,"tag":10745,"props":30209,"children":30210},{"__ignoreMap":8},[30211],{"type":25,"value":30206},{"type":20,"tag":2006,"props":30213,"children":30214},{},[],{"type":20,"tag":223,"props":30216,"children":30218},{"id":30217},"technical-excellence-simplified",[30219],{"type":20,"tag":33,"props":30220,"children":30221},{},[30222],{"type":25,"value":30223},"Technical Excellence, Simplified",{"type":20,"tag":2006,"props":30225,"children":30226},{},[],{"type":20,"tag":223,"props":30228,"children":30230},{"id":30229},"behind-the-scenes",[30231],{"type":25,"value":30232},"Behind the Scenes",{"type":20,"tag":21,"props":30234,"children":30235},{},[30236],{"type":25,"value":30237},"Narrative's NQL, akin to SQL, is intuitive and robust. It compiles your NQL statement into the appropriate SQL for various Query Execution Engines like Snowflake SQL and Apache Spark. The normalization of underlying tables to Rosetta Stone attributes occurs at query time, inserting SQL that performs the mapping for you, ensuring data integrity and consistency across disparate sources.",{"type":20,"tag":223,"props":30239,"children":30241},{"id":30240},"sample-datasets-and-automatic-transformations",[30242],{"type":20,"tag":33,"props":30243,"children":30244},{},[30245],{"type":25,"value":30246},"Sample Datasets and Automatic Transformations",{"type":20,"tag":21,"props":30248,"children":30249},{},[30250,30252,30261],{"type":25,"value":30251},"To illustrate the power of the ",{"type":20,"tag":33,"props":30253,"children":30254},{},[30255],{"type":20,"tag":10745,"props":30256,"children":30258},{"className":30257},[],[30259],{"type":25,"value":30260},"_rosetta_stone",{"type":25,"value":30262}," namespace, consider these three sample datasets with different schemas/values for age and gender:",{"type":20,"tag":2051,"props":30264,"children":30265},{},[30266,30317,30387],{"type":20,"tag":907,"props":30267,"children":30268},{},[30269,30274,30276,30285,30287,30296,30298,30306,30307,30315],{"type":20,"tag":33,"props":30270,"children":30271},{},[30272],{"type":25,"value":30273},"Dataset A",{"type":25,"value":30275},": ",{"type":20,"tag":33,"props":30277,"children":30278},{},[30279],{"type":20,"tag":10745,"props":30280,"children":30282},{"className":30281},[],[30283],{"type":25,"value":30284},"Age",{"type":25,"value":30286}," (in years), ",{"type":20,"tag":33,"props":30288,"children":30289},{},[30290],{"type":20,"tag":10745,"props":30291,"children":30293},{"className":30292},[],[30294],{"type":25,"value":30295},"Gender",{"type":25,"value":30297}," 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",{"type":20,"tag":33,"props":30438,"children":30439},{},[30440],{"type":20,"tag":10745,"props":30441,"children":30443},{"className":30442},[],[30444],{"type":25,"value":30445},"G",{"type":25,"value":30297},{"type":20,"tag":33,"props":30448,"children":30449},{},[30450],{"type":20,"tag":10745,"props":30451,"children":30453},{"className":30452},[],[30454],{"type":25,"value":30455},"1",{"type":25,"value":30457}," for male, ",{"type":20,"tag":33,"props":30459,"children":30460},{},[30461],{"type":20,"tag":10745,"props":30462,"children":30464},{"className":30463},[],[30465],{"type":25,"value":30466},"2",{"type":25,"value":30468}," for female)",{"type":20,"tag":21,"props":30470,"children":30471},{},[30472,30474,30482,30483,30491],{"type":25,"value":30473},"Narrative's Rosetta Stone automatically transforms these disparate values and column headers into unified ",{"type":20,"tag":33,"props":30475,"children":30476},{},[30477],{"type":20,"tag":10745,"props":30478,"children":30480},{"className":30479},[],[30481],{"type":25,"value":30174},{"type":25,"value":160},{"type":20,"tag":33,"props":30484,"children":30485},{},[30486],{"type":20,"tag":10745,"props":30487,"children":30489},{"className":30488},[],[30490],{"type":25,"value":10827},{"type":25,"value":30492}," attributes, simplifying complex data analysis without manual data wrangling.",{"type":20,"tag":223,"props":30494,"children":30496},{"id":30495},"querying-without-nql",[30497],{"type":25,"value":30498},"Querying Without NQL",{"type":20,"tag":21,"props":30500,"children":30501},{},[30502],{"type":25,"value":30503},"Now, let's contrast this with what the equivalent raw SQL query might look like, using the three sample datasets provided. This will demonstrate the complexity that Narrative's NQL abstracts away.",{"type":20,"tag":10737,"props":30505,"children":30508},{"className":30506,"code":30507,"language":10742,"meta":8},[10740],"WITH normalized_data AS (\n  SELECT\n    MD5(email) AS hashed_email,\n    favorite_store,\n    'male' AS gender,\n    CAST(SUBSTRING(age, 1, 2) AS INTEGER) AS age\n  FROM dataset_a\n  WHERE gender = 'M'\n  UNION ALL\n  SELECT\n    MD5(email),\n    favorite_store,\n    CASE WHEN sex = 'Male' THEN 'male' ELSE 'female' END,\n    CASE \n      WHEN age_group = '18-25' THEN 21\n      WHEN age_group = '26-33' THEN 29\n      ELSE NULL\n    END\n  FROM dataset_b\n  UNION ALL\n  SELECT\n    MD5(email),\n    favorite_store,\n    CASE WHEN g = 1 THEN 'male' WHEN g = 2 THEN 'female' ELSE NULL END,\n    CASE \n      WHEN age_range = 'Young Adult' THEN 25\n      WHEN age_range = 'Adult' THEN 35\n      WHEN age_range = 'Senior' THEN 65\n      ELSE NULL\n    END\n  FROM dataset_c\n), joined_data AS (\n  SELECT\n    n.hashed_email,\n    n.favorite_store,\n    n.gender,\n    n.age\n  FROM\n    normalized_data n\n  JOIN\n    your_company_data ycd ON n.hashed_email = MD5(ycd.email)\n  WHERE\n    n.gender = 'female'\n    AND n.age BETWEEN 20 AND 30\n)\n\nSELECT * FROM joined_data;\n",[30509],{"type":20,"tag":10745,"props":30510,"children":30511},{"__ignoreMap":8},[30512],{"type":25,"value":30507},{"type":20,"tag":2006,"props":30514,"children":30515},{},[],{"type":20,"tag":21,"props":30517,"children":30518},{},[30519,30521,30529,30530,30538],{"type":25,"value":30520},"This raw SQL example involves complex CASE statements to manually normalize ",{"type":20,"tag":33,"props":30522,"children":30523},{},[30524],{"type":20,"tag":10745,"props":30525,"children":30527},{"className":30526},[],[30528],{"type":25,"value":10827},{"type":25,"value":160},{"type":20,"tag":33,"props":30531,"children":30532},{},[30533],{"type":20,"tag":10745,"props":30534,"children":30536},{"className":30535},[],[30537],{"type":25,"value":30174},{"type":25,"value":30539}," values from different schemas, unions to join all the tables, and a hashing function to match emails across datasets. While the above NQL remains the same if there are 3 tables mapped to age and gender or 100, each additional dataset requires 10+ new lines of SQL to achieve the same output. The example showcases the substantial amount of manual effort and code required to perform operations that Narrative's NQL simplifies dramatically through its Rosetta Stone feature, thus underscoring the value of the NQL approach in streamlining data collaboration and analysis.",{"type":20,"tag":223,"props":30541,"children":30543},{"id":30542},"understanding-rosetta-stone-namespaces",[30544],{"type":20,"tag":33,"props":30545,"children":30546},{},[30547],{"type":25,"value":30548},"Understanding Rosetta Stone Namespaces",{"type":20,"tag":903,"props":30550,"children":30551},{},[30552,30576,30590],{"type":20,"tag":907,"props":30553,"children":30554},{},[30555,30564,30566,30574],{"type":20,"tag":33,"props":30556,"children":30557},{},[30558],{"type":20,"tag":10745,"props":30559,"children":30561},{"className":30560},[],[30562],{"type":25,"value":30563},"narrative.rosetta_stone",{"type":25,"value":30565},": This is a normalized and standardized union across all datasets, enabling the joining of data on attributes like ",{"type":20,"tag":33,"props":30567,"children":30568},{},[30569],{"type":20,"tag":10745,"props":30570,"children":30572},{"className":30571},[],[30573],{"type":25,"value":30144},{"type":25,"value":30575}," despite original differences.",{"type":20,"tag":907,"props":30577,"children":30578},{},[30579,30588],{"type":20,"tag":33,"props":30580,"children":30581},{},[30582],{"type":20,"tag":10745,"props":30583,"children":30585},{"className":30584},[],[30586],{"type":25,"value":30587},"company_data._rosetta_stone",{"type":25,"value":30589},": This refers to the normalized and standardized version of a single column within your company's dataset, aiding in internal data consistency.",{"type":20,"tag":907,"props":30591,"children":30592},{},[30593,30602],{"type":20,"tag":33,"props":30594,"children":30595},{},[30596],{"type":20,"tag":10745,"props":30597,"children":30599},{"className":30598},[],[30600],{"type":25,"value":30601},"company_data.dataset_name",{"type":25,"value":30603},": Represents the raw value of a single column from your company's data, providing access to unaltered data for specialized analysis.",{"type":20,"tag":223,"props":30605,"children":30607},{"id":30606},"leading-the-way-in-data-collaboration",[30608],{"type":20,"tag":33,"props":30609,"children":30610},{},[30611],{"type":25,"value":30612},"🌟 Leading the Way in Data Collaboration",{"type":20,"tag":21,"props":30614,"children":30615},{},[30616],{"type":25,"value":30617},"Narrative's approach to data collaboration is unparalleled. Our platform's ability to handle complex data structures while maintaining ease of use positions us as a leader in the field. We're not just providing tools; we're crafting solutions that transform how businesses interact with data.",{"type":20,"tag":21,"props":30619,"children":30620},{},[30621],{"type":25,"value":30622},"Ready to experience the future of data querying and collaboration? Reach out to your sales representative to schedule a demo. Discover how Narrative's NQL can empower your data strategies and drive your business forward.",{"type":20,"tag":21,"props":30624,"children":30625},{},[30626,30628],{"type":25,"value":30627},"Ready to get started? ",{"type":20,"tag":44,"props":30629,"children":30632},{"href":30630,"rel":30631},"https://www.narrative.io/contact",[538],[30633],{"type":20,"tag":16084,"props":30634,"children":30635},{},[30636],{"type":25,"value":30637},"Get in touch!",{"title":8,"searchDepth":193,"depth":193,"links":30639},[30640,30641,30642,30643,30644,30645,30646,30647,30648],{"id":30082,"depth":380,"text":30085},{"id":30105,"depth":380,"text":30108},{"id":30114,"depth":380,"text":30117},{"id":30217,"depth":380,"text":30223},{"id":30229,"depth":380,"text":30232},{"id":30240,"depth":380,"text":30246},{"id":30495,"depth":380,"text":30498},{"id":30542,"depth":380,"text":30548},{"id":30606,"depth":380,"text":30612},"content:blog:streamlining-data-collaboration-with-nql.md","blog/streamlining-data-collaboration-with-nql.md","blog/streamlining-data-collaboration-with-nql",{"loc":30066},{"_path":30654,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":30655,"description":30656,"publishDate":30657,"author":3094,"ogImage":30658,"image":30658,"tags":30659,"authorSlug":3099,"body":30660,"_type":195,"_id":30895,"_source":197,"_file":30896,"_stem":30897,"_extension":200,"sitemap":30898},"/blog/sustainable-ai-starts-with-data","Sustainable and Ethical AI Starts with Data Variety—Yet That’s the Biggest Challenge","As businesses increasingly turn to AI to solve complex challenges, the importance of data quality, variety, and collaboration has never been greater.","2024-12-11T10:11:00.000Z","/img/blog/2024/12/data-variety.png",[1262,1263,1264],{"type":17,"children":30661,"toc":30887},[30662,30667,30672,30677,30683,30688,30694,30697,30702,30714,30743,30748,30754,30797,30802,30808,30813,30818,30861,30866,30872,30877,30882],{"type":20,"tag":21,"props":30663,"children":30664},{},[30665],{"type":25,"value":30666},"Artificial intelligence has long been heralded as the future of technology, and today, it's firmly entrenched in our present. From the algorithms recommending your next binge-worthy show to advanced systems predicting maintenance needs for industrial equipment, AI is not just a buzzword; it’s a transformative force.",{"type":20,"tag":21,"props":30668,"children":30669},{},[30670],{"type":25,"value":30671},"AI is transforming industries with its wide range of applications, from streamlining supply chain logistics and helping retailers predict inventory needs to detecting fraud in financial institutions and optimizing production processes for manufacturers. Given this breadth of uses, it’s no surprise that the AI market is growing rapidly, projected to expand from $136.6 billion (as of 2022) to $1,811.8 billion by 2030, with a compound annual growth rate (CAGR) of 38.1%.",{"type":20,"tag":21,"props":30673,"children":30674},{},[30675],{"type":25,"value":30676},"But what makes AI truly valuable? The answer lies not just in the sophistication of the algorithms but in the data that feeds them. As businesses increasingly turn to AI to solve complex challenges, the importance of data quality, variety, and collaboration has never been greater.",{"type":20,"tag":1495,"props":30678,"children":30680},{"id":30679},"the-importance-of-data-quality-and-variety",[30681],{"type":25,"value":30682},"The Importance of Data Quality and Variety",{"type":20,"tag":21,"props":30684,"children":30685},{},[30686],{"type":25,"value":30687},"Data variety isn’t just a technical advantage—it’s the foundation of a sustainable and ethical AI ecosystem. Diverse datasets ensure that AI models can perform well across a broad range of scenarios, reducing the risk of bias and promoting fairness in decision-making.",{"type":20,"tag":1495,"props":30689,"children":30691},{"id":30690},"a-study-from-mit-found-that-ai-systems-trained-on-non-diverse-datasets-are-40-more-likely-to-produce-biased-outcomes-underscoring-the-importance-of-diverse-data",[30692],{"type":25,"value":30693},"A study from MIT found that AI systems trained on NON-diverse datasets are 40% more likely to produce biased outcomes, underscoring the importance of diverse data.",{"type":20,"tag":1495,"props":30695,"children":30696},{"id":8},[],{"type":20,"tag":21,"props":30698,"children":30699},{},[30700],{"type":25,"value":30701},"For example, an AI system trained on data from only one demographic risks perpetuating inequities, while one built on diverse inputs can deliver insights and solutions that benefit a wider audience. Beyond immediate improvements in performance, this approach fosters trust and accountability, creating systems that are resilient and adaptable to societal and regulatory shifts. In the long term, prioritizing data variety isn’t just about building better AI—it’s about building AI that aligns with evolving ethical standards and supports inclusive, impactful innovation.",{"type":20,"tag":21,"props":30703,"children":30704},{},[30705,30707,30712],{"type":25,"value":30706},"Training AI models is not just about having lots of data; it’s about having the ",{"type":20,"tag":33,"props":30708,"children":30709},{},[30710],{"type":25,"value":30711},"right data",{"type":25,"value":30713},". High-quality, diverse data allows models to learn robustly and generalize effectively.",{"type":20,"tag":2051,"props":30715,"children":30716},{},[30717,30733],{"type":20,"tag":907,"props":30718,"children":30719},{},[30720,30724,30726,30731],{"type":20,"tag":33,"props":30721,"children":30722},{},[30723],{"type":25,"value":17478},{"type":25,"value":30725},": Poor-quality data leads to biased or unreliable models. A healthcare model trained on flawed datasets might make inaccurate diagnoses. ",{"type":20,"tag":33,"props":30727,"children":30728},{},[30729],{"type":25,"value":30730},"Poor data quality costs the U.S. economy up to $3.1 trillion annually",{"type":25,"value":30732},", according to IBM, highlighting the significant impact of data quality on business performance.",{"type":20,"tag":907,"props":30734,"children":30735},{},[30736,30741],{"type":20,"tag":33,"props":30737,"children":30738},{},[30739],{"type":25,"value":30740},"Variety",{"type":25,"value":30742},": AI systems perform better when trained on diverse datasets. A model trained only on urban traffic data may fail in rural contexts.",{"type":20,"tag":21,"props":30744,"children":30745},{},[30746],{"type":25,"value":30747},"For AI to deliver value, businesses need data that reflects real-world complexity—and acquiring that data is often easier said than done.",{"type":20,"tag":1495,"props":30749,"children":30751},{"id":30750},"the-obstacles-to-high-quality-diverse-data",[30752],{"type":25,"value":30753},"The Obstacles to High-Quality, Diverse Data",{"type":20,"tag":2051,"props":30755,"children":30756},{},[30757,30767,30777,30787],{"type":20,"tag":907,"props":30758,"children":30759},{},[30760,30765],{"type":20,"tag":33,"props":30761,"children":30762},{},[30763],{"type":25,"value":30764},"Fragmentation",{"type":25,"value":30766},": Data is often siloed across systems, departments, or organizations.",{"type":20,"tag":907,"props":30768,"children":30769},{},[30770,30775],{"type":20,"tag":33,"props":30771,"children":30772},{},[30773],{"type":25,"value":30774},"Privacy Concerns",{"type":25,"value":30776},": Sharing sensitive data, like healthcare or financial records, raises ethical and legal challenges. A PwC survey found that 85% of customers are concerned about how their personal data is used by AI technologies, underscoring the need for trust and transparency.",{"type":20,"tag":907,"props":30778,"children":30779},{},[30780,30785],{"type":20,"tag":33,"props":30781,"children":30782},{},[30783],{"type":25,"value":30784},"Cost and Complexity",{"type":25,"value":30786},": Accessing and preparing data for AI requires significant time and resources.",{"type":20,"tag":907,"props":30788,"children":30789},{},[30790,30795],{"type":20,"tag":33,"props":30791,"children":30792},{},[30793],{"type":25,"value":30794},"Trust",{"type":25,"value":30796},": Even when data is available, the fear of losing control over intellectual property prevents organizations from collaborating.",{"type":20,"tag":21,"props":30798,"children":30799},{},[30800],{"type":25,"value":30801},"These challenges create a significant bottleneck, preventing organizations from realizing the full potential of AI.",{"type":20,"tag":1495,"props":30803,"children":30805},{"id":30804},"a-new-paradigm-rethinking-collaboration-in-ai",[30806],{"type":25,"value":30807},"A New Paradigm: Rethinking Collaboration in AI",{"type":20,"tag":21,"props":30809,"children":30810},{},[30811],{"type":25,"value":30812},"AI innovation requires more than just technology; it demands collaboration. At Narrative, we see a future where businesses don’t just compete—they collaborate to unlock shared value while maintaining full control and security over their assets.",{"type":20,"tag":21,"props":30814,"children":30815},{},[30816],{"type":25,"value":30817},"This philosophy underpins how we approach data and AI:",{"type":20,"tag":2051,"props":30819,"children":30820},{},[30821,30831,30841,30851],{"type":20,"tag":907,"props":30822,"children":30823},{},[30824,30829],{"type":20,"tag":33,"props":30825,"children":30826},{},[30827],{"type":25,"value":30828},"Data as a Collaborative Asset",{"type":25,"value":30830},": Data isn’t just an internal resource—it’s an opportunity for innovation when shared responsibly. Imagine retailers and suppliers co-creating demand forecasting models, benefiting both parties without compromising sensitive data.",{"type":20,"tag":907,"props":30832,"children":30833},{},[30834,30839],{"type":20,"tag":33,"props":30835,"children":30836},{},[30837],{"type":25,"value":30838},"Model Transparency with Guardrails",{"type":25,"value":30840},": Sharing pre-trained models with inference-only access ensures intellectual property stays protected while enabling others to benefit from the model’s outputs. For instance, healthcare providers could use diagnostic models created by another institution without risking data exposure.",{"type":20,"tag":907,"props":30842,"children":30843},{},[30844,30849],{"type":20,"tag":33,"props":30845,"children":30846},{},[30847],{"type":25,"value":30848},"Decentralized Inference",{"type":25,"value":30850},": Moving away from centralized systems, we envision a world where businesses deploy AI models within their own environments, ensuring privacy while reducing dependency on external APIs.",{"type":20,"tag":907,"props":30852,"children":30853},{},[30854,30859],{"type":20,"tag":33,"props":30855,"children":30856},{},[30857],{"type":25,"value":30858},"The Power of Adaptation",{"type":25,"value":30860},": Fine-tuning existing models with internal data unlocks tailored solutions. A McKinsey report shows that companies that collaborate on AI and share data see an 80% increase in AI adoption, compared to those that do not collaborate. A financial firm adapting a risk model to fit their proprietary data, for example, gains a competitive edge while keeping sensitive information secure.",{"type":20,"tag":21,"props":30862,"children":30863},{},[30864],{"type":25,"value":30865},"This is not about technology in isolation; it’s about empowering organizations to build solutions that are collaborative, flexible, and secure. By solving for trust, privacy, and control, we enable a new paradigm for AI—a future where innovation is shared but not compromised.",{"type":20,"tag":1495,"props":30867,"children":30869},{"id":30868},"moving-forward",[30870],{"type":25,"value":30871},"Moving forward",{"type":20,"tag":21,"props":30873,"children":30874},{},[30875],{"type":25,"value":30876},"AI is at a crossroads. Its potential to transform industries is immense, but realizing that potential requires addressing foundational challenges: data quality, access, and collaboration.",{"type":20,"tag":21,"props":30878,"children":30879},{},[30880],{"type":25,"value":30881},"The next wave of AI innovation won’t just be defined by cutting-edge models but by the ecosystems that make those models possible. By rethinking how data and AI are shared, developed, and deployed, businesses can unlock opportunities that were previously out of reach.",{"type":20,"tag":21,"props":30883,"children":30884},{},[30885],{"type":25,"value":30886},"At Narrative, we’re excited to be part of this journey—building tools and frameworks that empower organizations to innovate without limits.",{"title":8,"searchDepth":193,"depth":193,"links":30888},[30889,30890,30891,30892,30893,30894],{"id":30679,"depth":193,"text":30682},{"id":30690,"depth":193,"text":30693},{"id":8,"depth":193,"text":8},{"id":30750,"depth":193,"text":30753},{"id":30804,"depth":193,"text":30807},{"id":30868,"depth":193,"text":30871},"content:blog:sustainable-ai-starts-with-data.md","blog/sustainable-ai-starts-with-data.md","blog/sustainable-ai-starts-with-data",{"loc":30654},{"_path":5530,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":30900,"description":30901,"publishDate":30902,"author":12,"ogImage":30903,"image":30903,"tags":30904,"body":30905,"_type":195,"_id":31212,"_source":197,"_file":31213,"_stem":31214,"_extension":200,"sitemap":31215},"The Complete Guide to Location Data","In this guide, we take a deeper look at types of location data, how location data is collected, and how companies can use location data to grow and drive revenue.","2022-03-09 18:15:42","/img/blog/2022/03/loc-data.png",[],{"type":17,"children":30906,"toc":31203},[30907,30920,30929,30934,30946,30955,30978,30987,30992,31035,31049,31062,31071,31080,31085,31090,31095,31104,31109,31114,31123,31128,31137,31142,31151,31156,31168,31177,31182,31187],{"type":20,"tag":21,"props":30908,"children":30909},{},[30910,30912,30918],{"type":25,"value":30911},"The movement of people and objects in the real world reveals valuable information that organizations can apply to many different initiatives. By collecting and analyzing the ",{"type":20,"tag":44,"props":30913,"children":30916},{"href":30914,"rel":30915},"https://www.narrative.io/data-types/location-data",[538],[30917],{"type":25,"value":15288},{"type":25,"value":30919}," of current and potential customers, companies can glean insights that help with targeted advertising, investment decisions, commercial real-estate planning, and more. In this guide, we’ll take a deeper look at types of location data, how location data is collected, and how companies can use location data to grow and drive revenue.",{"type":20,"tag":28,"props":30921,"children":30923},{"id":30922},"what-is-location-data",[30924],{"type":20,"tag":33,"props":30925,"children":30926},{},[30927],{"type":25,"value":30928},"What is location data?",{"type":20,"tag":21,"props":30930,"children":30931},{},[30932],{"type":25,"value":30933},"Location data is geographical information about a specific device’s whereabouts associated with a time identifier. The movement of each device is assumed to be associated with a person and is used as an anonymous identifier to that individual’s movement and location.",{"type":20,"tag":21,"props":30935,"children":30936},{},[30937,30939,30944],{"type":25,"value":30938},"Devices that allow tracking location data, like smartphones or laptops, help organizations understand how customers move and behave in the real-world. Understanding this movement can lead to better decision-making when it comes to ",{"type":20,"tag":44,"props":30940,"children":30941},{"href":251},[30942],{"type":25,"value":30943},"marketing and advertising",{"type":25,"value":30945},", forecasting and investing, and site-planning for a multitude of industries and organizations.",{"type":20,"tag":1495,"props":30947,"children":30949},{"id":30948},"types-of-location-data",[30950],{"type":20,"tag":33,"props":30951,"children":30952},{},[30953],{"type":25,"value":30954},"Types of location data",{"type":20,"tag":903,"props":30956,"children":30957},{},[30958,30968],{"type":20,"tag":907,"props":30959,"children":30960},{},[30961,30966],{"type":20,"tag":33,"props":30962,"children":30963},{},[30964],{"type":25,"value":30965},"Real-time location data vs historical location data:",{"type":25,"value":30967}," Real-time location data tracks a device’s live movements as they are happening, providing up-to-date information about location by the second. Historical location data can give a detailed report on a device’s movement from days, weeks, or months before.",{"type":20,"tag":907,"props":30969,"children":30970},{},[30971,30976],{"type":20,"tag":33,"props":30972,"children":30973},{},[30974],{"type":25,"value":30975},"Deterministic location data vs probabilistic location data:",{"type":25,"value":30977}," Deterministic location data is data that relies on actual human behavior (i.e. the actual movement between or within zip codes, the coordinates of a device, etc.) Probabilistic location data is location information that is based off of past behavior and probability.",{"type":20,"tag":1495,"props":30979,"children":30981},{"id":30980},"how-is-location-data-collected",[30982],{"type":20,"tag":33,"props":30983,"children":30984},{},[30985],{"type":25,"value":30986},"How is location data collected?",{"type":20,"tag":21,"props":30988,"children":30989},{},[30990],{"type":25,"value":30991},"The recipe for location data requires three main ingredients: a signal, a receiver, and an identifier. Though we think of smart devices as transmitting signals, they are actually the receivers of signals from other pieces of technology when it comes to location tracking. Receivers, like mobile phones or desktop computers, are receiving signals from at least one of the following:",{"type":20,"tag":903,"props":30993,"children":30994},{},[30995,31005,31015,31025],{"type":20,"tag":907,"props":30996,"children":30997},{},[30998,31003],{"type":20,"tag":33,"props":30999,"children":31000},{},[31001],{"type":25,"value":31002},"GPS (Global Positioning System):",{"type":25,"value":31004}," The global positions system, developed in the 1970s, is made up of 31 satellites that orbit around the earth. A device’s location is determined by calculating how long each satellite’s signal took to reach the device. At its most accurate, GPS signal can be extremely accurate within a 4.9 meter radius under a clear, outdoor sky.",{"type":20,"tag":907,"props":31006,"children":31007},{},[31008,31013],{"type":20,"tag":33,"props":31009,"children":31010},{},[31011],{"type":25,"value":31012},"Cell towers:",{"type":25,"value":31014}," Mobile devices are connected to cell towers in order to receive communication from other devices. A device can often identify multiple cell towers within close proximity. The location of that device can then be determined based on signal strength from each nearby tower.",{"type":20,"tag":907,"props":31016,"children":31017},{},[31018,31023],{"type":20,"tag":33,"props":31019,"children":31020},{},[31021],{"type":25,"value":31022},"Wi-Fi:",{"type":25,"value":31024}," Devices can use Wi-Fi for more accurate placement when GPS and cell towers aren’t available, or when these signals are obstructed by bad weather or indoor movement. Wi-Fi determines the location of a device by calculating the distance between the device and the ‘“access point” that allows the device to connect to and operate on the WiFi network.",{"type":20,"tag":907,"props":31026,"children":31027},{},[31028,31033],{"type":20,"tag":33,"props":31029,"children":31030},{},[31031],{"type":25,"value":31032},"Beacons:",{"type":25,"value":31034}," Beacons are small devices that transmit information via Bluetooth signal and are usually found in one single, static location. The device uses the strength of the signal to determine how far away from the beacon it is. Beacons can be incredibly accurate and can determine location within half a meter, but they can only emit Bluetooth signals in the locations they’re installed.",{"type":20,"tag":21,"props":31036,"children":31037},{},[31038,31040,31047],{"type":25,"value":31039},"So, we have the smart device (or the receiver) and the technology that is transmitting to the receiver (or the signal), but we are missing just one component: the identifier. Each smart device is correlated with an identifier in order to understand an individual’s movement over time. This identifier is called a device ID. Both iOS and Android have unique identifiers (known as ",{"type":20,"tag":44,"props":31041,"children":31044},{"href":31042,"rel":31043},"https://kb.narrative.io/mobile-advertising-ids",[538],[31045],{"type":25,"value":31046},"mobile advertising identifiers, mobile ad IDs, or simply MAIDs",{"type":25,"value":31048},") that enable data to be pseudo-anonymously tied back to the phone where it was collected.",{"type":20,"tag":21,"props":31050,"children":31051},{},[31052,31054,31060],{"type":25,"value":31053},"With the signal being sent to the receiver to determine movement and the identifier providing an anonymous proxy for the user, we are able to cook up fresh location data sets that can be served to companies in heaping helpings. So once organizations have all of this ",{"type":20,"tag":44,"props":31055,"children":31057},{"href":30914,"rel":31056},[538],[31058],{"type":25,"value":31059},"location data,",{"type":25,"value":31061}," how can they use it?",{"type":20,"tag":1495,"props":31063,"children":31065},{"id":31064},"how-can-organizations-use-location-data",[31066],{"type":20,"tag":33,"props":31067,"children":31068},{},[31069],{"type":25,"value":31070},"How can organizations use location data?",{"type":20,"tag":1495,"props":31072,"children":31074},{"id":31073},"location-based-marketing-and-advertising",[31075],{"type":20,"tag":33,"props":31076,"children":31077},{},[31078],{"type":25,"value":31079},"Location-based marketing and advertising",{"type":20,"tag":21,"props":31081,"children":31082},{},[31083],{"type":25,"value":31084},"Brands can use location data to understand their customer’s daily routines, habits, and behavior. It’s possible to glean insights into where a brand’s audience lives, works, eats, shops, works out, etc. This allows for companies to get strategic about location-tailored marketing messages and ad delivery based on location.",{"type":20,"tag":21,"props":31086,"children":31087},{},[31088],{"type":25,"value":31089},"For instance, if a healthy snack brand is able to see which grocery store locations their customers frequent most often, they might create coupons or deals that can be used at those grocery locations or advertise their products on the grocery store’s app or website. If that healthy snack brand sees that their customers are more likely to take specific buses or trains to work, they might determine that advertising on those buses or trains would be more effective than paying for billboard space. The more companies know about where their customers are going, the easier it will be to reach them in the places they visit both online and offline.",{"type":20,"tag":21,"props":31091,"children":31092},{},[31093],{"type":25,"value":31094},"You can also use location-based marketing to segment your audiences and target them based on location. For instance, a clothing brand with locations in both Los Angeles and New York City will serve ads to their customers in each city based on that city’s demographic, current weather, and trending styles.",{"type":20,"tag":1495,"props":31096,"children":31098},{"id":31097},"predicting-buyer-behavior-and-forecasting-investments",[31099],{"type":20,"tag":33,"props":31100,"children":31101},{},[31102],{"type":25,"value":31103},"Predicting buyer behavior and forecasting investments",{"type":20,"tag":21,"props":31105,"children":31106},{},[31107],{"type":25,"value":31108},"Location data from mobile devices helps to forecast earnings, number of customers, customer frequency, and other KPIs before they are formally reported. These insights are key for investment decisions. For instance, tracking trends in footfall and measuring the popularity of store locations can provide the insights needed to make important financial predictions such as which store locations might generate the most or least revenue, how many employees should be hired, and how much product should be stocked.",{"type":20,"tag":21,"props":31110,"children":31111},{},[31112],{"type":25,"value":31113},"Measuring footfall rates and post-visit reports provides companies with the information they need to to predict when customers will increase and decrease to physical store locations and surrounding areas. Insights into store performance, such as average unique visits per month, number of repeat visits, and average visit length, can help companies manage inventory more wisely to reduce waste, schedule personnel more effectively, and redirect attention to less popular locations to determine why they’re struggling.",{"type":20,"tag":1495,"props":31115,"children":31117},{"id":31116},"site-planning",[31118],{"type":20,"tag":33,"props":31119,"children":31120},{},[31121],{"type":25,"value":31122},"Site-planning",{"type":20,"tag":21,"props":31124,"children":31125},{},[31126],{"type":25,"value":31127},"The use of location tracking can be used to plan where to open, close, or relocate company locations. By tracking the popularity of store locations and the movements of customers between store locations, it’s easier to predict which locations will provide significant ROI if a store is opened, which locations will fail, which stores should expand, and which stores should shutter their doors before they lose a company too much money. For instance, if a franchise coffee shop brand is able to see where their customers are traveling to during their daily commutes, they might be able to plant more coffee shop locations in areas that their customers are frequenting and therefore more likely to purchase a cup of joe.",{"type":20,"tag":1495,"props":31129,"children":31131},{"id":31130},"shipping-and-hauling",[31132],{"type":20,"tag":33,"props":31133,"children":31134},{},[31135],{"type":25,"value":31136},"Shipping and hauling",{"type":20,"tag":21,"props":31138,"children":31139},{},[31140],{"type":25,"value":31141},"Location data can also be used to ensure goods are delivered on time and intact, plan efficient routes, and provide estimated delivery dates to customers. Most buyers want to track their packages and want to receive them in a timely manner. Location data helps get goods from point A to point B in the shortest time frame while also providing buyers with the security of knowing exactly where their package is and when it can be expected to arrive.",{"type":20,"tag":28,"props":31143,"children":31145},{"id":31144},"buying-location-data",[31146],{"type":20,"tag":33,"props":31147,"children":31148},{},[31149],{"type":25,"value":31150},"Buying location data",{"type":20,"tag":21,"props":31152,"children":31153},{},[31154],{"type":25,"value":31155},"Generally, when purchasing location data, you’ll come across common attributes like longitude, latitude, altitude, elevation, timestamps, and place names. There is also location data available for purchase that covers mobile ad IDs, IP addresses, brand IDs, and category IDs. All of these attributes help map the movements of your audience in order to tell a story about who they are.",{"type":20,"tag":21,"props":31157,"children":31158},{},[31159,31161,31166],{"type":25,"value":31160},"Data commerce platforms like ",{"type":20,"tag":44,"props":31162,"children":31164},{"href":772,"rel":31163},[538],[31165],{"type":25,"value":3778},{"type":25,"value":31167}," make it easy to discover and buy location data that will give you the precise movement and location information you need. Narrative makes it easy to discover and buy the location data you need to feed your models, develop new insights, and improve decision making.",{"type":20,"tag":28,"props":31169,"children":31171},{"id":31170},"selling-location-data",[31172],{"type":20,"tag":33,"props":31173,"children":31174},{},[31175],{"type":25,"value":31176},"Selling location data",{"type":20,"tag":21,"props":31178,"children":31179},{},[31180],{"type":25,"value":31181},"Does your organization collect and store location data? No matter what type of location data your organization collects, someone out there is willing to buy it. You could be generating an entirely new stream of revenue for your company by sharing that data through a commerce platform.",{"type":20,"tag":21,"props":31183,"children":31184},{},[31185],{"type":25,"value":31186},"With Data Shops, Narrative makes it easy for you to quickly start packaging and selling your location data without spending significant time and resources.",{"type":20,"tag":21,"props":31188,"children":31189},{},[31190,31195,31196],{"type":20,"tag":33,"props":31191,"children":31192},{},[31193],{"type":25,"value":31194},"Want to learn more about buying or selling location data?",{"type":25,"value":177},{"type":20,"tag":44,"props":31197,"children":31198},{"href":180},[31199],{"type":20,"tag":33,"props":31200,"children":31201},{},[31202],{"type":25,"value":12181},{"title":8,"searchDepth":193,"depth":193,"links":31204},[31205,31206,31207,31208,31209,31210,31211],{"id":30948,"depth":193,"text":30954},{"id":30980,"depth":193,"text":30986},{"id":31064,"depth":193,"text":31070},{"id":31073,"depth":193,"text":31079},{"id":31097,"depth":193,"text":31103},{"id":31116,"depth":193,"text":31122},{"id":31130,"depth":193,"text":31136},"content:blog:the-complete-guide-to-location-data.md","blog/the-complete-guide-to-location-data.md","blog/the-complete-guide-to-location-data",{"loc":5530},{"_path":871,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":31217,"description":31218,"publishDate":31219,"author":12,"ogImage":31220,"image":31220,"tags":31221,"body":31222,"_type":195,"_id":31488,"_source":197,"_file":31489,"_stem":31490,"_extension":200,"sitemap":31491},"The Complete Guide to Weather Data","The complete guide to weather data, including information on types, attributes, sources, and use cases.","2022-02-03 22:13:03","/img/blog/2022/02/weather2-1.png",[],{"type":17,"children":31223,"toc":31486},[31224,31233,31238,31247,31252,31269,31274,31285,31290,31299,31304,31309,31318,31323,31334,31339,31344,31355,31360,31365,31376,31381,31386,31391,31400,31405,31417,31426,31437,31450],{"type":20,"tag":28,"props":31225,"children":31227},{"id":31226},"what-is-weather-data",[31228],{"type":20,"tag":33,"props":31229,"children":31230},{},[31231],{"type":25,"value":31232},"What is weather data?",{"type":20,"tag":21,"props":31234,"children":31235},{},[31236],{"type":25,"value":31237},"Weather data is information that tracks and predicts weather conditions and patterns. Weather data tells a story about the state of the atmosphere in a particular location over a specific period of time by measuring several different parameters, including temperature, air quality, wind speed, and precipitation level.",{"type":20,"tag":28,"props":31239,"children":31241},{"id":31240},"types-of-weather-data",[31242],{"type":20,"tag":33,"props":31243,"children":31244},{},[31245],{"type":25,"value":31246},"Types of weather data",{"type":20,"tag":21,"props":31248,"children":31249},{},[31250],{"type":25,"value":31251},"Weather data can cover information about large geographical areas, small geographical areas, the past, the future, the present, and the earth as a whole. The most common weather data subcategories are:",{"type":20,"tag":903,"props":31253,"children":31254},{},[31255],{"type":20,"tag":907,"props":31256,"children":31257},{},[31258,31263,31264],{"type":20,"tag":33,"props":31259,"children":31260},{},[31261],{"type":25,"value":31262},"Local weather data",{"type":25,"value":177},{"type":20,"tag":33,"props":31265,"children":31266},{},[31267],{"type":25,"value":31268},"vs global weather data",{"type":20,"tag":21,"props":31270,"children":31271},{},[31272],{"type":25,"value":31273},"Local weather data is information about weather conditions in a specific localized area, such as a county or city. When you check your city’s daily forecast before heading out the door each morning, you are looking at local weather data. Global weather data, on the other hand, covers weather and climate patterns for the entire planet. Some examples of this are tracking global temperature or measuring wind patterns between continents.",{"type":20,"tag":903,"props":31275,"children":31276},{},[31277],{"type":20,"tag":907,"props":31278,"children":31279},{},[31280],{"type":20,"tag":33,"props":31281,"children":31282},{},[31283],{"type":25,"value":31284},"Real-time weather data vs historical weather data",{"type":20,"tag":21,"props":31286,"children":31287},{},[31288],{"type":25,"value":31289},"Real-time weather data gives you the most up-to-date information on weather conditions as they are occuring. This is how you can keep track of any changes in the weather day-to-day and even hour-to-hour. Historical weather data takes you into the past. It provides intelligence on weather patterns and conditions from previous days, months, years, and even decades.",{"type":20,"tag":28,"props":31291,"children":31293},{"id":31292},"how-is-weather-data-collected-and-measured",[31294],{"type":20,"tag":33,"props":31295,"children":31296},{},[31297],{"type":25,"value":31298},"How is weather data collected and measured?",{"type":20,"tag":21,"props":31300,"children":31301},{},[31302],{"type":25,"value":31303},"Weather data is generally collected by meteorologists who are experts at measuring, analyzing, and predicting weather conditions and patterns. The data being collected by modern cutting-edge equipment such as satellite signals, airport observation stations, drone technology, and mapping devices has allowed for the collection of amazingly accurate and current weather data.",{"type":20,"tag":21,"props":31305,"children":31306},{},[31307],{"type":25,"value":31308},"Most weather data is collected by using thermometers to measure temperature, barometers to measure air pressure, radar to measure rain or snow locations and movements, wind vanes to measure wind directions, anemometers to measure wind speed, transmissometers to measure atmospheric visibility, and hygrometers to measure humidity. Weather satellites are also used frequently to track everything from snow cover to smog levels to ocean tidal patterns. Radiosondes, which are balloons that measure atmospheric characteristics as they move through the air and communicate that data via radio, can measure temperature, pressure, and humidity, and wind speed and direction.",{"type":20,"tag":28,"props":31310,"children":31312},{"id":31311},"how-can-organizations-use-weather-data",[31313],{"type":20,"tag":33,"props":31314,"children":31315},{},[31316],{"type":25,"value":31317},"How can organizations use weather data?",{"type":20,"tag":21,"props":31319,"children":31320},{},[31321],{"type":25,"value":31322},"Many different industries use weather data for a range of business applications. Departments ranging from sales to marketing to legal operations can use weather data to make informed decisions about investment forecasting, energy load planning, supply chain management, business intelligence applications, freight distribution needs, and several other aspects of business affected by the weather. A few examples of business uses for weather data are:",{"type":20,"tag":903,"props":31324,"children":31325},{},[31326],{"type":20,"tag":907,"props":31327,"children":31328},{},[31329],{"type":20,"tag":33,"props":31330,"children":31331},{},[31332],{"type":25,"value":31333},"Weather Data & Logistics",{"type":20,"tag":21,"props":31335,"children":31336},{},[31337],{"type":25,"value":31338},"Weather data is the golden ticket when it comes to staying on schedule with travel and deliveries. Organizations can make informed logistics decisions and minimize risk by using real-time weather data to determine which routes will have the most favorable weather conditions and which ones pose more of a risk. Companies can plan safe and efficient freight or haulage delivery routes months (or even years) in advance by using accurate forecasting from collected weather data.",{"type":20,"tag":21,"props":31340,"children":31341},{},[31342],{"type":25,"value":31343},"Being able to determine and plan weather-friendly routes ahead of time helps companies avoid the cost and headache of cancellations or delays due to rain, sleet, snow, etc. When your business plans for the best routes and consistently completes deliveries on time without being slowed down or re-routed, it reflects to customers and business partners that your organization is dependable.",{"type":20,"tag":903,"props":31345,"children":31346},{},[31347],{"type":20,"tag":907,"props":31348,"children":31349},{},[31350],{"type":20,"tag":33,"props":31351,"children":31352},{},[31353],{"type":25,"value":31354},"Weather Data & Marketing",{"type":20,"tag":21,"props":31356,"children":31357},{},[31358],{"type":25,"value":31359},"Using weather data to make predictions about buyer behavior is one way to avoid sinking costs into unproductive campaigns and also tailor your products and services to the current experience of your audience. Staying informed on the weather and factoring it into marketing initiatives can only yield better strategies and results when it comes to reaching and engaging with your targeted audience.",{"type":20,"tag":21,"props":31361,"children":31362},{},[31363],{"type":25,"value":31364},"For instance, if you’re a coat manufacturer, your product generally brings in the most revenue when the weather is cold or snowy, so you would want to run seasonal marketing and advertising campaigns in the winter months of the year to maximize your ROI. To use another example, if you operate a water park that is open during the summer months, adverse weather conditions could impact your day-to-day sales. No one wants to go to the water park on a rainy or gloomy day. Weather-triggered advertising could be used to track day-to-day weather data and allow marketers to only pay for ad space when the weather is sunny and warm enough to attract customers.",{"type":20,"tag":903,"props":31366,"children":31367},{},[31368],{"type":20,"tag":907,"props":31369,"children":31370},{},[31371],{"type":20,"tag":33,"props":31372,"children":31373},{},[31374],{"type":25,"value":31375},"Weather Data & Travel",{"type":20,"tag":21,"props":31377,"children":31378},{},[31379],{"type":25,"value":31380},"Several industries, particularly that involve tourism or travel, use weather data to make predictions about consumer demand. Using weather data, it’s possible to accurately predict when demand amongst travellers will spike or drop in specific locations. This allows many businesses to make smarter decisions when it comes to marketing and operational strategies.",{"type":20,"tag":21,"props":31382,"children":31383},{},[31384],{"type":25,"value":31385},"For example, hotels will allocate their resources more effectively if they can predict when they will have more visitors. A hotel in Florida won’t have as many customers during the height of a bad hurricane season just like a hotel in Arizona won’t have as many visitors during heat waves.",{"type":20,"tag":21,"props":31387,"children":31388},{},[31389],{"type":25,"value":31390},"Industries can also use this information to schedule company travel more effectively for conferences, meetings, and other business events by identifying and avoiding periods of risky or undesirable weather conditions.",{"type":20,"tag":28,"props":31392,"children":31394},{"id":31393},"buying-weather-data",[31395],{"type":20,"tag":33,"props":31396,"children":31397},{},[31398],{"type":25,"value":31399},"Buying weather data",{"type":20,"tag":21,"props":31401,"children":31402},{},[31403],{"type":25,"value":31404},"There are several different attributes of weather data that are commonly collected and are purchasable. Generally, data providers will provide data points that include localized or global information on: temperature, precipitation, humidity, wind speed, wind direction, and cloud coverage. You can also find data on things like pollen concentration in the air, solar radiation, and natural disasters.",{"type":20,"tag":21,"props":31406,"children":31407},{},[31408,31410,31415],{"type":25,"value":31409},"Data collaboration platforms like Narrative make it easy to discover and buy weather data. ",{"type":20,"tag":44,"props":31411,"children":31413},{"href":772,"rel":31412},[538],[31414],{"type":25,"value":561},{"type":25,"value":31416}," provides buyers with a range of data types, including weather and climate data, that allows businesses to make better predictions about everything from investment management to event planning.",{"type":20,"tag":28,"props":31418,"children":31420},{"id":31419},"selling-weather-data",[31421],{"type":20,"tag":33,"props":31422,"children":31423},{},[31424],{"type":25,"value":31425},"Selling weather data",{"type":20,"tag":21,"props":31427,"children":31428},{},[31429,31431,31435],{"type":25,"value":31430},"If your organization has valuable and accurate weather data, you could be generating an entirely new stream of revenue for your company by monetizing that data. Narrative’s ",{"type":20,"tag":44,"props":31432,"children":31433},{"href":566},[31434],{"type":25,"value":340},{"type":25,"value":31436}," enables businesses to quickly and easily launch an ecommerce data business without spending significant time and resources. Your weather data could be ingested, packaged, and accessible through a custom ecommerce storefront in just a few days, even if you have little to no technical expertise.",{"type":20,"tag":21,"props":31438,"children":31439},{},[31440,31441,31448],{"type":25,"value":20193},{"type":20,"tag":44,"props":31442,"children":31445},{"href":31443,"rel":31444},"https://awisdata.com/",[538],[31446],{"type":25,"value":31447},"AWIS Weather Services Data Shop",{"type":25,"value":31449},", an ecommerce data shop created by AWIS and powered by Narrative, is one example of a weather data shop on the platform that is filled with over 30,000 real weather observations from all over the world. After using Data Shop’s intuitive tools and workflows to stand up their data business, AWIS's VP of Advanced Technology, Tim Risner, described Narrative's data commerce platform as a “unique” platform that is able to “give AWIS Weather Services the competitive edge we need to provide quality weather observations to those industries that need real world weather data.\"",{"type":20,"tag":21,"props":31451,"children":31452},{},[31453,31458,31459,31468,31469,31474,31475],{"type":20,"tag":33,"props":31454,"children":31455},{},[31456],{"type":25,"value":31457},"Discover and buy weather data products on the",{"type":25,"value":177},{"type":20,"tag":44,"props":31460,"children":31463},{"href":31461,"rel":31462},"https://app.narrative.io/products?q=weather%20data",[538],[31464],{"type":20,"tag":33,"props":31465,"children":31466},{},[31467],{"type":25,"value":6064},{"type":25,"value":177},{"type":20,"tag":33,"props":31470,"children":31471},{},[31472],{"type":25,"value":31473},"or",{"type":25,"value":177},{"type":20,"tag":44,"props":31476,"children":31478},{"href":15333,"rel":31477},[538],[31479,31484],{"type":20,"tag":33,"props":31480,"children":31481},{},[31482],{"type":25,"value":31483},"learn more about how Narrative makes selling data sources fast and easy",{"type":25,"value":31485},"**.**",{"title":8,"searchDepth":193,"depth":193,"links":31487},[],"content:blog:the-complete-guide-to-weather-data.md","blog/the-complete-guide-to-weather-data.md","blog/the-complete-guide-to-weather-data",{"loc":871},{"_path":31493,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":31494,"description":31495,"publishDate":31496,"author":1436,"authorSlug":1437,"ogImage":31497,"image":31497,"tags":31498,"body":31499,"_type":195,"_id":31706,"_source":197,"_file":31707,"_stem":31708,"_extension":200,"sitemap":31709},"/blog/the-data-economy-that-didnt-explode","The Data Economy's Normalization Problem","Data was supposed to be the new oil, but the market hasn't exploded as predicted. The problem isn't availability—it's interoperability.","2026-02-06T08:00:00.000Z","/img/blog/2026/02/the-data-economy-that-didnt-explode.png",[1262,1263,1264,209],{"type":17,"children":31500,"toc":31700},[31501,31507,31512,31526,31549,31572,31586,31591,31597,31602,31607,31612,31618,31623,31628,31633,31655,31661,31666,31671,31683,31695],{"type":20,"tag":1495,"props":31502,"children":31504},{"id":31503},"the-data-economy-that-didnt-explode",[31505],{"type":25,"value":31506},"The Data Economy That Didn't Explode",{"type":20,"tag":21,"props":31508,"children":31509},{},[31510],{"type":25,"value":31511},"Data was supposed to be the new oil. If we increase availability and access, more companies should buy and sell it. The market should explode. But to date, it hasn't.",{"type":20,"tag":21,"props":31513,"children":31514},{},[31515,31517,31524],{"type":25,"value":31516},"Auren Hoffman, who built SafeGraph on this premise, ",{"type":20,"tag":44,"props":31518,"children":31521},{"href":31519,"rel":31520},"https://www.youtube.com/watch?v=o5Ynk6ccb0Q",[538],[31522],{"type":25,"value":31523},"put it simply",{"type":25,"value":31525}," on his podcast: \"I would have thought by now it would have grown an order of magnitude,\" he said. \"And it's grown very small, very slight.\"",{"type":20,"tag":21,"props":31527,"children":31528},{},[31529,31531,31538,31540,31547],{"type":25,"value":31530},"The numbers back him up. The ",{"type":20,"tag":44,"props":31532,"children":31535},{"href":31533,"rel":31534},"https://navnoorbawa.substack.com/p/how-hedge-funds-generated-262-alpha",[538],[31536],{"type":25,"value":31537},"alternative data market grew about 33% to ~$2.5B in 2024",{"type":25,"value":31539},"—solid, but not exponential. Per Auren, in hedge funds the number of serious data buyers ",{"type":20,"tag":44,"props":31541,"children":31544},{"href":31542,"rel":31543},"https://auren.substack.com/p/data-is-actually-not-a-great-vc-backed",[538],[31545],{"type":25,"value":31546},"has actually fallen",{"type":25,"value":31548}," versus five years ago.",{"type":20,"tag":21,"props":31550,"children":31551},{},[31552,31554,31561,31563,31570],{"type":25,"value":31553},"At the infrastructure layer, there has been progress: Snowflake's data marketplace ",{"type":20,"tag":44,"props":31555,"children":31558},{"href":31556,"rel":31557},"https://sergeycyw.substack.com/p/snowflake-cloud-data-platform-leader",[538],[31559],{"type":25,"value":31560},"added 98 new listings",{"type":25,"value":31562}," in Q4 2024, up 26% year-over-year. AWS Data Exchange now offers ",{"type":20,"tag":44,"props":31564,"children":31567},{"href":31565,"rel":31566},"https://registry.opendata.aws/",[538],[31568],{"type":25,"value":31569},"3500+ datasets from 250+ providers",{"type":25,"value":31571},". The pipes are there. But transaction volume remains modest.",{"type":20,"tag":21,"props":31573,"children":31574},{},[31575,31577,31584],{"type":25,"value":31576},"Meanwhile, ",{"type":20,"tag":44,"props":31578,"children":31581},{"href":31579,"rel":31580},"https://the-cfo.io/2025/08/18/how-businesses-are-turning-external-data-into-smarter-strategy/",[538],[31582],{"type":25,"value":31583},"61% of U.S. companies launched a product based on external data in the past year",{"type":25,"value":31585},". So companies want external data. They're just not buying it at scale.",{"type":20,"tag":21,"props":31587,"children":31588},{},[31589],{"type":25,"value":31590},"So what's going on?",{"type":20,"tag":1495,"props":31592,"children":31594},{"id":31593},"a-quick-history-lesson",[31595],{"type":25,"value":31596},"A Quick History Lesson",{"type":20,"tag":21,"props":31598,"children":31599},{},[31600],{"type":25,"value":31601},"As recently as the 1950s, if you wanted to ship goods across an ocean, you faced an expensive, slow, and chaotic process. Ships would arrive in port and sit there for days or weeks while longshoremen hauled crates, barrels, sacks, and boxes of every conceivable shape and size to and from shore. This was called \"break-bulk\" shipping, and it was essentially how humanity moved goods by sea for centuries. Labor costs alone meant that for many products, it didn't make economic sense to trade across oceans at all.",{"type":20,"tag":21,"props":31603,"children":31604},{},[31605],{"type":25,"value":31606},"In 1956, a trucking entrepreneur named Malcolm McLean had a simple idea: what if we standardized the container? By the 1970s, with ISO specifications in place, the same crane in Rotterdam could lift the same shipping container that a truck in Los Angeles could carry, that a train in Kansas could haul. Shipping costs fell by roughly 90%. Port turnaround dropped from days to hours.",{"type":20,"tag":21,"props":31608,"children":31609},{},[31610],{"type":25,"value":31611},"The box didn't make goods valuable. It made moving goods cheap and reliable. And that's when global trade exploded.",{"type":20,"tag":1495,"props":31613,"children":31615},{"id":31614},"data-is-still-break-bulk",[31616],{"type":25,"value":31617},"Data Is Still Break-Bulk",{"type":20,"tag":21,"props":31619,"children":31620},{},[31621],{"type":25,"value":31622},"Here's what I think is happening: We're still shipping data the same manual, labor-intensive break-bulk way we shipped goods in the 1950s. Despite progress on making data more easily available, the core interoperability problem remains: every dataset arrives in a different format, different schema, different quality standards. Each one requires bespoke integration work. Each one needs its own legal review and security audit.",{"type":20,"tag":21,"props":31624,"children":31625},{},[31626],{"type":25,"value":31627},"There's no standard \"container\" for data.",{"type":20,"tag":21,"props":31629,"children":31630},{},[31631],{"type":25,"value":31632},"Every data deal faces the same gauntlet. Months of legal review. Security audits. Schema mapping. Identity resolution. Engineering to actually integrate the thing. Ongoing maintenance and SLA management. And at the end of it all, a fuzzy ROI that makes procurement nervous.",{"type":20,"tag":21,"props":31634,"children":31635},{},[31636,31638,31645,31647,31653],{"type":25,"value":31637},"The stats bear this out. When asked about obstacles to using external data, ",{"type":20,"tag":44,"props":31639,"children":31642},{"href":31640,"rel":31641},"https://www.iab.com/wp-content/uploads/2023/01/IAB_State_of_Data_2023.pdf",[538],[31643],{"type":25,"value":31644},"companies cite compliance barriers and data quality issues at nearly the same rate as budget constraints",{"type":25,"value":31646},". ",{"type":20,"tag":44,"props":31648,"children":31650},{"href":31640,"rel":31649},[538],[31651],{"type":25,"value":31652},"16% struggle just to make the business case",{"type":25,"value":31654},". The market isn't limited by value. It's limited by friction.",{"type":20,"tag":1495,"props":31656,"children":31658},{"id":31657},"the-interoperable-shipping-container-era-for-data",[31659],{"type":25,"value":31660},"The Interoperable Shipping Container Era for Data",{"type":20,"tag":21,"props":31662,"children":31663},{},[31664],{"type":25,"value":31665},"So what would change this?",{"type":20,"tag":21,"props":31667,"children":31668},{},[31669],{"type":25,"value":31670},"At Narrative, we believe the future is automated data normalization. Imagine a \"Rosetta Stone\" for data interoperability: Software that understands every data dialect and translates it into (and out of) a common language. Standards that make data interoperable by default. Privacy-preserving tech that makes legal review routine instead of bespoke. Quality metrics that are transparent and trustworthy.",{"type":20,"tag":21,"props":31672,"children":31673},{},[31674,31676,31681],{"type":25,"value":31675},"This is what ",{"type":20,"tag":44,"props":31677,"children":31678},{"href":23851},[31679],{"type":25,"value":31680},"Narrative's Rosetta Stone Normalization Engine",{"type":25,"value":31682}," is designed to do: create a shared data language that works everywhere. Map schemas automatically. Normalize data on the fly. Make datasets from any source instantly compatible with any destination.",{"type":20,"tag":21,"props":31684,"children":31685},{},[31686,31688,31693],{"type":25,"value":31687},"Think about what ",{"type":20,"tag":44,"props":31689,"children":31690},{"href":20856},[31691],{"type":25,"value":31692},"data interoperability unlocks",{"type":25,"value":31694},": faster time-to-value, repeatable activation patterns, lower risk. When you eliminate the bespoke integration tax on every dataset, suddenly buying three datasets costs only marginally more than buying one. When you can evaluate data quality in minutes instead of months, you're willing to experiment.",{"type":20,"tag":21,"props":31696,"children":31697},{},[31698],{"type":25,"value":31699},"That's the \"shipping container\" moment – when the cost of moving data, combining data, and trusting data across organizations becomes cheap, predictable and reliable.",{"title":8,"searchDepth":193,"depth":193,"links":31701},[31702,31703,31704,31705],{"id":31503,"depth":193,"text":31506},{"id":31593,"depth":193,"text":31596},{"id":31614,"depth":193,"text":31617},{"id":31657,"depth":193,"text":31660},"content:blog:the-data-economy-that-didnt-explode.md","blog/the-data-economy-that-didnt-explode.md","blog/the-data-economy-that-didnt-explode",{"loc":31493},{"_path":31711,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":31712,"description":31713,"publishDate":31714,"author":1927,"ogImage":31715,"image":31715,"tags":31716,"authorSlug":1932,"body":31718,"_type":195,"_id":31885,"_source":197,"_file":31886,"_stem":31887,"_extension":200,"sitemap":31888},"/blog/the-future-of-identity-graphs","The Future of Identity Graphs","Managing identity graphs requires a robust, flexible platform capable of adapting to the disappearance of traditional cookies and the rise of multiple ID providers.","2024-05-22 13:26:22","/img/blog/2024/05/identity-future.png",[1262,6989,6614,31717],"identity graphs",{"type":17,"children":31719,"toc":31869},[31720,31726,31731,31737,31742,31748,31753,31759,31764,31770,31775,31781,31786,31792,31797,31803,31808,31814,31820,31831,31837,31842,31848,31853,31859,31864],{"type":20,"tag":1495,"props":31721,"children":31723},{"id":31722},"empowering-identity-graphs-with-narrative",[31724],{"type":25,"value":31725},"Empowering Identity Graphs with Narrative",{"type":20,"tag":21,"props":31727,"children":31728},{},[31729],{"type":25,"value":31730},"The current addressability ecosystem is fluid, and crowded.  In many cases, regardless if you’re a brand or publisher, there is not a single ID solution that can meet all of your audience needs.  Managing identity graphs requires a robust, flexible platform capable of adapting to the disappearance of traditional cookies and the rise of multiple ID providers. Narrative’s data collaboration platform offers a solution that transcends conventional limitations through its ID-agnostic approach and global capabilities.",{"type":20,"tag":223,"props":31732,"children":31734},{"id":31733},"id-agnosticism-and-universal-support",[31735],{"type":25,"value":31736},"ID Agnosticism and Universal Support",{"type":20,"tag":21,"props":31738,"children":31739},{},[31740],{"type":25,"value":31741},"Narrative is designed to support a wide array of universal identifiers like UID2, ID5, and others, allowing companies to leverage multiple ID providers simultaneously. This ID-agnostic approach ensures that businesses can maintain flexibility in their identity graph strategies, adapting to new standards and practices without being tethered to a single ID source.",{"type":20,"tag":223,"props":31743,"children":31745},{"id":31744},"customizable-identity-graph-construction",[31746],{"type":25,"value":31747},"Customizable Identity Graph Construction",{"type":20,"tag":21,"props":31749,"children":31750},{},[31751],{"type":25,"value":31752},"Narrative empowers companies to construct and customize their own identity graphs through a transparent, user-controlled environment. Users can fine-tune their data acquisition strategies, selecting between probabilistic and deterministic signals, and setting precise rules, such as specific MAID to IP pairings over determined intervals.",{"type":20,"tag":223,"props":31754,"children":31756},{"id":31755},"global-scale-and-operational-flexibility",[31757],{"type":25,"value":31758},"Global Scale and Operational Flexibility",{"type":20,"tag":21,"props":31760,"children":31761},{},[31762],{"type":25,"value":31763},"The platform’s global reach enables companies to seamlessly construct and manage identity graphs across multiple countries with the same ease as local operations. This is facilitated by Narrative’s advanced filtering systems, which allow for dynamic adjustments in response to changes in operational scopes or data needs.",{"type":20,"tag":223,"props":31765,"children":31767},{"id":31766},"multi-supplier-and-multi-country-integration",[31768],{"type":25,"value":31769},"Multi-Supplier and Multi-Country Integration",{"type":20,"tag":21,"props":31771,"children":31772},{},[31773],{"type":25,"value":31774},"Collaborating with Narrative, the audience expansion business seamlessly integrated data from over 70 suppliers across regions including North & South America, EU, APAC, and LATAM. This vast integration showcased Narrative's capability to handle complex, large-scale operations with ease, managing identity and CTV graphs crucial for their expansive global audience network.",{"type":20,"tag":223,"props":31776,"children":31778},{"id":31777},"leveraging-probabilistic-and-deterministic-data",[31779],{"type":25,"value":31780},"Leveraging Probabilistic and Deterministic Data",{"type":20,"tag":21,"props":31782,"children":31783},{},[31784],{"type":25,"value":31785},"The business leveraged both probabilistic and deterministic data sourced intelligently from numerous providers globally through Narrative. This included hashed emails (HEMs), Mobile Ad IDs (MAIDs), CTV, and IP data, which were essential in enhancing the accuracy and reach of their identity graphs.",{"type":20,"tag":223,"props":31787,"children":31789},{"id":31788},"dynamic-and-real-time-data-management",[31790],{"type":25,"value":31791},"Dynamic and Real-Time Data Management",{"type":20,"tag":21,"props":31793,"children":31794},{},[31795],{"type":25,"value":31796},"Using Narrative, the audience extension business dynamically adjusted its criteria based on real-time operational needs, such as budget adjustments and storage space. They were able to define custom output schemas that aligned with their data ingestion systems, accommodating the seamless integration of new data types and sources.",{"type":20,"tag":223,"props":31798,"children":31800},{"id":31799},"advanced-data-crosswalking-and-automatic-integration",[31801],{"type":25,"value":31802},"Advanced Data Crosswalking and Automatic Integration",{"type":20,"tag":21,"props":31804,"children":31805},{},[31806],{"type":25,"value":31807},"Narrative’s platform facilitated the crosswalking of the company’s graph, enabling greater collaboration across disparate data providers and schemas. The Narrative ID pseudonymous crosswalk identifier ensures privacy while allowing seamless integration and interoperability of various data sets across platforms, enhancing data usability and insights.",{"type":20,"tag":223,"props":31809,"children":31811},{"id":31810},"summary-of-benefits",[31812],{"type":25,"value":31813},"Summary Of Benefits",{"type":20,"tag":223,"props":31815,"children":31817},{"id":31816},"speed-to-market-reduced-risk",[31818],{"type":25,"value":31819},"Speed to Market & Reduced Risk",{"type":20,"tag":21,"props":31821,"children":31822},{},[31823,31829],{"type":20,"tag":44,"props":31824,"children":31826},{"href":24672,"rel":31825},[538],[31827],{"type":25,"value":31828},"Narrative.io",{"type":25,"value":31830}," streamlines operations, consolidating interactions with numerous suppliers into a coherent framework that reduces operational risk and accelerates time to market.",{"type":20,"tag":223,"props":31832,"children":31834},{"id":31833},"no-black-box-id-graph",[31835],{"type":25,"value":31836},"No Black Box ID Graph",{"type":20,"tag":21,"props":31838,"children":31839},{},[31840],{"type":25,"value":31841},"Companies maintain control over their identity graphs by employing their custom logic, ensuring transparency and adaptability to changing market conditions.",{"type":20,"tag":223,"props":31843,"children":31845},{"id":31844},"non-movement-of-client-data",[31846],{"type":25,"value":31847},"Non-movement of Client Data",{"type":20,"tag":21,"props":31849,"children":31850},{},[31851],{"type":25,"value":31852},"Deploy Narrative anywhere your data resides, ensuring compliance with data sovereignty laws and reducing latency in data access and processing.",{"type":20,"tag":223,"props":31854,"children":31856},{"id":31855},"rosetta-stone-ai-layer",[31857],{"type":25,"value":31858},"Rosetta Stone AI Layer",{"type":20,"tag":21,"props":31860,"children":31861},{},[31862],{"type":25,"value":31863},"Narrative's Rosetta Stone AI layer makes it seamless to work across many providers, all sharing their data in disparate formats and schema, thus simplifying the integration and utilization of diverse data sources.",{"type":20,"tag":21,"props":31865,"children":31866},{},[31867],{"type":25,"value":31868},"Narrative’s platform showcases not just the capability to handle complex identity graph requirements on a global scale but also the ease with which companies can manage these needs. The case of the audience extension business underscores the platform's ability to reduce complexity and enhance operational efficiency, proving that Narrative is not just a tool but a transformative force in the realm of digital identity management. This blend of advanced technology and user-centric design makes Narrative a critical asset for any company looking to innovate within the identity graph space.",{"title":8,"searchDepth":193,"depth":193,"links":31870},[31871],{"id":31722,"depth":193,"text":31725,"children":31872},[31873,31874,31875,31876,31877,31878,31879,31880,31881,31882,31883,31884],{"id":31733,"depth":380,"text":31736},{"id":31744,"depth":380,"text":31747},{"id":31755,"depth":380,"text":31758},{"id":31766,"depth":380,"text":31769},{"id":31777,"depth":380,"text":31780},{"id":31788,"depth":380,"text":31791},{"id":31799,"depth":380,"text":31802},{"id":31810,"depth":380,"text":31813},{"id":31816,"depth":380,"text":31819},{"id":31833,"depth":380,"text":31836},{"id":31844,"depth":380,"text":31847},{"id":31855,"depth":380,"text":31858},"content:blog:the-future-of-identity-graphs.md","blog/the-future-of-identity-graphs.md","blog/the-future-of-identity-graphs",{"loc":31711},{"_path":31890,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":31891,"description":31892,"publishDate":31893,"author":12,"ogImage":31894,"image":31894,"tags":31895,"body":31896,"_type":195,"_id":32222,"_source":197,"_file":32223,"_stem":32224,"_extension":200,"sitemap":32225},"/blog/the-importance-of-data-autonomy-taking-control-of-your-data-strategy","The Importance of Data Autonomy: Taking Control of Your Data Strategy","Your data strategy should be as unique as your business. To build a unique and effective data strategy, you should maintain control every step of the way.","2022-09-16 14:12:20","/img/blog/2022/09/04-8.png",[15],{"type":17,"children":31897,"toc":32220},[31898,31911,31920,31944,31949,31958,31963,31975,32002,32032,32043,32048,32053,32064,32078,32083,32094,32099,32104,32123,32128,32137,32154,32173,32186,32199],{"type":20,"tag":21,"props":31899,"children":31900},{},[31901,31903,31909],{"type":25,"value":31902},"Your data strategy should be as unique as your business. The evolution of your company’s data strategy influences everything in your organization from products to marketing to culture. Having full control over every input and output, as well as guiding your data to work for you at every step, is the only way to lead your industry and market. That’s why mastering ",{"type":20,"tag":44,"props":31904,"children":31906},{"href":7980,"rel":31905},[538],[31907],{"type":25,"value":31908},"data autonomy",{"type":25,"value":31910}," is so crucial for success.",{"type":20,"tag":28,"props":31912,"children":31914},{"id":31913},"what-is-data-autonomy",[31915],{"type":20,"tag":33,"props":31916,"children":31917},{},[31918],{"type":25,"value":31919},"What is data autonomy?",{"type":20,"tag":21,"props":31921,"children":31922},{},[31923,31925,31930,31931,31936,31937,31942],{"type":25,"value":31924},"To have data autonomy means to have complete control over your data and your data strategy. That includes having control over where and how your data is generated, stored, organized, used, ",{"type":20,"tag":44,"props":31926,"children":31927},{"href":12062},[31928],{"type":25,"value":31929},"bought",{"type":25,"value":152},{"type":20,"tag":44,"props":31932,"children":31933},{"href":620},[31934],{"type":25,"value":31935},"sold",{"type":25,"value":10130},{"type":20,"tag":44,"props":31938,"children":31939},{"href":6874},[31940],{"type":25,"value":31941},"shared",{"type":25,"value":31943},". Data autonomy is the practice of ensuring that your data is protected and secure, accessible and shareable, and applied effectively.",{"type":20,"tag":21,"props":31945,"children":31946},{},[31947],{"type":25,"value":31948},"Maintaining control over your data and the application of that data is one of the most important duties of an organization. To be successful, you’ll want to have end-to-end authority over where your data is coming from and where it is going.  ",{"type":20,"tag":28,"props":31950,"children":31952},{"id":31951},"how-does-data-autonomy-help-you-master-your-data-strategy",[31953],{"type":20,"tag":33,"props":31954,"children":31955},{},[31956],{"type":25,"value":31957},"How does data autonomy help you master your data strategy?",{"type":20,"tag":21,"props":31959,"children":31960},{},[31961],{"type":25,"value":31962},"The way your organization collects, applies, and distributes data should fit your organization’s unique goals and challenges. No one data strategy fits every enterprise. You must shape the direction and velocity of your data strategy in order to achieve progress and success. That can only be done effectively if an organization maintains complete control at every step of the way. To ensure that you are maintaining control over your data and data strategy effectively, you’ll want to:",{"type":20,"tag":903,"props":31964,"children":31965},{},[31966],{"type":20,"tag":907,"props":31967,"children":31968},{},[31969,31970],{"type":25,"value":17814},{"type":20,"tag":33,"props":31971,"children":31972},{},[31973],{"type":25,"value":31974},"Monitor data collection",{"type":20,"tag":21,"props":31976,"children":31977},{},[31978,31980,31985,31987,31992,31994,32000],{"type":25,"value":31979},"Your organization is only as good as the data it collects. As you generate or ingest data, make sure that you are taking note of exactly where it is coming from, how it was collected, and how trustworthy it is. Don’t ",{"type":20,"tag":44,"props":31981,"children":31982},{"href":9891},[31983],{"type":25,"value":31984},"input garbage",{"type":25,"value":31986}," or you will get ",{"type":20,"tag":44,"props":31988,"children":31989},{"href":9891},[31990],{"type":25,"value":31991},"garbage output",{"type":25,"value":31993},". You want to ensure that the data you are feeding your models is ",{"type":20,"tag":44,"props":31995,"children":31997},{"href":7980,"rel":31996},[538],[31998],{"type":25,"value":31999},"quality data",{"type":25,"value":32001}," that you can trust.",{"type":20,"tag":21,"props":32003,"children":32004},{},[32005,32007,32011,32013,32018,32020,32025,32027,32031],{"type":25,"value":32006},"One way to ensure that you are collecting quality data is to put the appropriate checks and balances in place for ",{"type":20,"tag":44,"props":32008,"children":32009},{"href":46},[32010],{"type":25,"value":49},{"type":25,"value":32012}," collection. Attach tracking pixels to your website and advertisements, ensure that you are asking all the right questions on customer surveys, and don’t let any information slip through the cracks. Another way to ensure ",{"type":20,"tag":44,"props":32014,"children":32016},{"href":7980,"rel":32015},[538],[32017],{"type":25,"value":31999},{"type":25,"value":32019}," collection is to acquire quality ",{"type":20,"tag":44,"props":32021,"children":32022},{"href":46},[32023],{"type":25,"value":32024},"first-and-third-party",{"type":25,"value":32026}," data from trustworthy external sources. This can be done by negotiating direct data transactions with organizations that you trust or ingesting data through reliable ",{"type":20,"tag":44,"props":32028,"children":32029},{"href":558},[32030],{"type":25,"value":5262},{"type":25,"value":191},{"type":20,"tag":903,"props":32033,"children":32034},{},[32035],{"type":20,"tag":907,"props":32036,"children":32037},{},[32038],{"type":20,"tag":33,"props":32039,"children":32040},{},[32041],{"type":25,"value":32042},"Protect your data",{"type":20,"tag":21,"props":32044,"children":32045},{},[32046],{"type":25,"value":32047},"To have full data autonomy is to maintain a protected and organized storage of your data. It is vital that all data is protected and secure because, by protecting that data, you are protecting your company, your employees, your customers, your products, your shareholders, and so forth. This means that no other parties or organizations are able to interfere with your data, unless you want them to.",{"type":20,"tag":21,"props":32049,"children":32050},{},[32051],{"type":25,"value":32052},"In order to do this, you must keep your data secure with end-to-end encryption and auditing. Make sure you have security access set up so that only authorized individuals can access your data and no other parties are able to. Always monitor your data and who has been accessing it, and ensure they are following protocol when doing so.",{"type":20,"tag":903,"props":32054,"children":32055},{},[32056],{"type":20,"tag":907,"props":32057,"children":32058},{},[32059],{"type":20,"tag":33,"props":32060,"children":32061},{},[32062],{"type":25,"value":32063},"Ensure data compliance",{"type":20,"tag":21,"props":32065,"children":32066},{},[32067,32069,32076],{"type":25,"value":32068},"With complete control of your data and data strategy, you are able to ensure compliance with federal ",{"type":20,"tag":44,"props":32070,"children":32073},{"href":32071,"rel":32072},"https://kb.narrative.io/regulations-compliance-privacy#laws-regulations",[538],[32074],{"type":25,"value":32075},"laws and regulations",{"type":25,"value":32077}," as well as ensuring that your data adheres to your own internal compliance policies. It’s important to establish organization when you are generating data and it’s important to set up the rules and regulations that will ensure your data is legal, safe, and secure.",{"type":20,"tag":21,"props":32079,"children":32080},{},[32081],{"type":25,"value":32082},"To guarantee your data is compliant, it’s important to stay up-to-date on the latest laws and regulations regarding data generation, data protection, and data commercialization. It’s also important to constantly ensure that your data is meeting your company’s own set of ethics and standards.",{"type":20,"tag":903,"props":32084,"children":32085},{},[32086],{"type":20,"tag":907,"props":32087,"children":32088},{},[32089],{"type":20,"tag":33,"props":32090,"children":32091},{},[32092],{"type":25,"value":32093},"Map and execute the fate of your data",{"type":20,"tag":21,"props":32095,"children":32096},{},[32097],{"type":25,"value":32098},"Your data has endless potential. Having full control over your data strategy means that your organization alone should be able to make the necessary decisions about how your data is collected or generated, where your data is stored, who has access to it, and whether or not you want to share that data outside of your organization.",{"type":20,"tag":21,"props":32100,"children":32101},{},[32102],{"type":25,"value":32103},"These decisions should be based on your organization’s unique structure and objectives. Determine the challenges your organization faces, the questions you are trying to answer, and the goals you are trying to achieve. Then determine what data could help lead your company to the right solutions and evolutions, where you can find that data, and how you can apply that data. How you shape your data strategy will be extremely distinctive, which is why it’s so important to maintain control of the data that fuels it.",{"type":20,"tag":21,"props":32105,"children":32106},{},[32107,32109,32114,32116,32121],{"type":25,"value":32108},"Within your organization, data is pivotal to marketing campaigns, product development, customer experience, supply chain management, and more. If you decide you want to ",{"type":20,"tag":44,"props":32110,"children":32111},{"href":6874},[32112],{"type":25,"value":32113},"share that data between departments in a controlled data ecosystem",{"type":25,"value":32115},", you can direct and open that access. If you decide you want to monetize your data by ",{"type":20,"tag":44,"props":32117,"children":32118},{"href":620},[32119],{"type":25,"value":32120},"selling it to interested external parties",{"type":25,"value":32122},", you can decide where that data is sold to. If you decide you want to keep it top-secret within one department, you can do that too.",{"type":20,"tag":21,"props":32124,"children":32125},{},[32126],{"type":25,"value":32127},"But maintaining control over both your data and your data strategy means that you must have access to the right data, the right tools, and the right budget. This can be difficult to accomplish if you aren’t aware of the cutting-edge options that are available to organizations as data science and data commerce grow and expand.",{"type":20,"tag":28,"props":32129,"children":32131},{"id":32130},"narratives-data-collaboration-platform-gives-you-the-autonomy-tools-you-need-to-take-control-of-your-data-strategy",[32132],{"type":20,"tag":33,"props":32133,"children":32134},{},[32135],{"type":25,"value":32136},"Narrative’s data collaboration platform gives you the autonomy tools you need to take control of your data strategy",{"type":20,"tag":21,"props":32138,"children":32139},{},[32140,32142,32146,32148,32152],{"type":25,"value":32141},"To retain strategic control over your data, employing a ",{"type":20,"tag":44,"props":32143,"children":32144},{"href":558},[32145],{"type":25,"value":776},{"type":25,"value":32147}," like Narrative is one of the best things you can do. A data collaboration platform automates and simplifies that most frustrating and expensive aspects of acquiring, sharing, and distributing data. Instead of going through a bunch of middle-men, you’ll have full control and ownership over the system of record and self-service tools offered to you. ",{"type":20,"tag":44,"props":32149,"children":32150},{"href":558},[32151],{"type":25,"value":3778},{"type":25,"value":32153}," empowers organizations by allowing them to maintain strategic control without requiring them to sacrifice tons of time and money or outsource to firms whose incentives may be misaligned.",{"type":20,"tag":21,"props":32155,"children":32156},{},[32157,32159,32164,32166,32171],{"type":25,"value":32158},"With Narrative’s custom controls, you can set up the rules that work for your particular strategy and priorities. You can choose to share, buy, or sell data on your own terms. Define which participants you want to work with, set your own price (or lack thereof) as a ",{"type":20,"tag":44,"props":32160,"children":32162},{"href":15333,"rel":32161},[538],[32163],{"type":25,"value":22454},{"type":25,"value":32165}," or your own budget as a ",{"type":20,"tag":44,"props":32167,"children":32168},{"href":324},[32169],{"type":25,"value":32170},"buyer",{"type":25,"value":32172},", and run your data strategy based on your specifications. You can test, measure, and optimize with ease.",{"type":20,"tag":21,"props":32174,"children":32175},{},[32176,32178,32184],{"type":25,"value":32177},"Narrative also allows you to negotiate private data deals. You’ll be able to choose only the buyers and sellers that you want to work with and transact data on ",{"type":20,"tag":44,"props":32179,"children":32181},{"href":781,"rel":32180},[538],[32182],{"type":25,"value":32183},"Narrative’s open marketplace",{"type":25,"value":32185}," or negotiate your own private deals. You'll always be in control of your specific terms and conditions.",{"type":20,"tag":21,"props":32187,"children":32188},{},[32189,32191,32197],{"type":25,"value":32190},"Narrative’s new ",{"type":20,"tag":44,"props":32192,"children":32194},{"href":32193},"/products/query-builder/fast-and-accurate-forecasting",[32195],{"type":25,"value":32196},"forecasting solution",{"type":25,"value":32198}," also allows you to make decisions based on real-time data availability. As a seller, you can update availability by using custom filters and by setting your own price. As a buyer, you can see the exact availability before you buy. For both buyers and sellers, the ability to forecast maximizes the value of your data strategy.",{"type":20,"tag":21,"props":32200,"children":32201},{},[32202,32207,32208,32216],{"type":20,"tag":33,"props":32203,"children":32204},{},[32205],{"type":25,"value":32206},"Take control of your data strategy today.",{"type":25,"value":177},{"type":20,"tag":44,"props":32209,"children":32210},{"href":180},[32211],{"type":20,"tag":33,"props":32212,"children":32213},{},[32214],{"type":25,"value":32215},"Get in contact with our experts",{"type":20,"tag":33,"props":32217,"children":32218},{},[32219],{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":32221},[],"content:blog:the-importance-of-data-autonomy-taking-control-of-your-data-strategy.md","blog/the-importance-of-data-autonomy-taking-control-of-your-data-strategy.md","blog/the-importance-of-data-autonomy-taking-control-of-your-data-strategy",{"loc":31890},{"_path":32227,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":32228,"description":32229,"publishDate":32230,"author":3094,"ogImage":32231,"image":32231,"tags":32232,"authorSlug":3099,"body":32233,"_type":195,"_id":32395,"_source":197,"_file":32396,"_stem":32397,"_extension":200,"sitemap":32398},"/blog/the-narrative-manifesto","The Narrative Manifesto","Successful data strategies are built on efficiency, transparency, and utility and you can never have enough useful and specific data.","2019-03-11 16:39:00","/img/blog/2019/03/BLOG-031119-narrative-manifesto.jpg",[4365,209,610],{"type":17,"children":32234,"toc":32391},[32235,32241,32246,32259,32264,32269,32274,32283,32288,32294,32308,32313,32318,32323,32328,32333,32338,32343,32350,32355,32360,32366,32371,32376,32386],{"type":20,"tag":223,"props":32236,"children":32238},{"id":32237},"achieving-the-promise-of-the-data-economy",[32239],{"type":25,"value":32240},"Achieving the promise of the data economy",{"type":20,"tag":21,"props":32242,"children":32243},{},[32244],{"type":25,"value":32245},"Data is the new oil has become such a common refrain that one might think the phrase has been with us since the time of Shakespeare. In reality, it was coined in 2006 by Mathematician Clive Humby about data needing refinement, much like oil, to extract its real value.",{"type":20,"tag":21,"props":32247,"children":32248},{},[32249,32251,32258],{"type":25,"value":32250},"More recently, former Intel Chief ",{"type":20,"tag":44,"props":32252,"children":32255},{"href":32253,"rel":32254},"https://fortune.com/2018/06/07/intel-ceo-brian-krzanich-data/",[538],[32256],{"type":25,"value":32257},"Brian Krzanich opined on data’s ability to transform whole industries",{"type":25,"value":191},{"type":20,"tag":21,"props":32260,"children":32261},{},[32262],{"type":25,"value":32263},"“Oil changed the world in the 1900s. It drove cars, it drove the whole chemical industry,” Krzanich explains. “Data, I look at it as the new oil. It’s going to change most industries across the board.”We Need to Eliminate Bad Actors.",{"type":20,"tag":21,"props":32265,"children":32266},{},[32267],{"type":25,"value":32268},"At Narrative we agree that data can be just as transformational as oil, but the analogy isn’t perfect. To reach its full potential, organizations are going to have to understand the opportunities and challenges data presents and think about how to apply those to their specific needs.",{"type":20,"tag":21,"props":32270,"children":32271},{},[32272],{"type":25,"value":32273},"Right now, that isn’t happening nearly enough. Something about refining data only gets you so far unless you know what you want and what to do with it. And that’s a huge ongoing challenge in nearly every industry.",{"type":20,"tag":223,"props":32275,"children":32277},{"id":32276},"our-beliefs",[32278],{"type":20,"tag":33,"props":32279,"children":32280},{},[32281],{"type":25,"value":32282},"Our Beliefs",{"type":20,"tag":21,"props":32284,"children":32285},{},[32286],{"type":25,"value":32287},"When we launched Narrative, we outlined some core beliefs that have been the guideposts for how we’ve built the company and our technology.",{"type":20,"tag":5193,"props":32289,"children":32291},{"id":32290},"data-needs-to-be-useful-andspecific",[32292],{"type":25,"value":32293},"Data Needs to be Useful and  Specific",{"type":20,"tag":21,"props":32295,"children":32296},{},[32297,32299,32302,32303],{"type":25,"value":32298},"One of the most significant problems with the word data is that anything that means everything means nothing. Data is most potent when it conveys specificity, and even then the specificity has to have utility for the problem at hand. To complicate things even more, every use case is going to have their own unique needs meaning that the value of any data point can vary wildly. One man’s data trash is another man’s data treasure, at a given moment - so to speak.",{"type":20,"tag":2006,"props":32300,"children":32301},{},[],{"type":25,"value":26331},{"type":20,"tag":1630,"props":32304,"children":32307},{"alt":32305,"src":32306},"BLOG-031119-narrative-manifesto-signal","https://solutions.narrative.io/hubfs/BLOG-031119-narrative-manifesto-signal.jpg",[],{"type":20,"tag":21,"props":32309,"children":32310},{},[32311],{"type":25,"value":32312},"Data that isn’t specific or useful is just noise. The data economy will be built on the back of signal.",{"type":20,"tag":21,"props":32314,"children":32315},{},[32316],{"type":25,"value":32317},"Take this trivial example of how we use data in our own lives. Assume that I would like to play golf next weekend, but before I make a tee time, I’ll check the weather forecast. If I looked at my favorite weather app and it told me that the record low temperature on the day I wanted to play was 42°, that the record high temperature on that day was 91°, and that historically it had rained on that date 18% of the time I would have no idea if I should book my spot on the course. The data just wasn’t specific enough.",{"type":20,"tag":21,"props":32319,"children":32320},{},[32321],{"type":25,"value":32322},"Taking that same example, the app could tell me that there was a 0% chance of rain and the low would be 68° with a high of 79° in Pebble Beach, California. Much more specific, but to the extent that I live in New York, not very useful because I’m not going to hop on a plane to play a round of golf.",{"type":20,"tag":21,"props":32324,"children":32325},{},[32326],{"type":25,"value":32327},"For the weather data to be useful, I need it to be specific and useful to my unique needs. While this is a silly example, the same holds for more complex data needs.",{"type":20,"tag":21,"props":32329,"children":32330},{},[32331],{"type":25,"value":32332},"You Can Never Have Enough Useful and Specific Data",{"type":20,"tag":21,"props":32334,"children":32335},{},[32336],{"type":25,"value":32337},"Organizations who have not come to terms with understanding the difference of data broadly vs. data with utility are starting to express the sentiment that they “have too much data” or “don’t need any more data.” Logic would tell us that this belief can’t possibly be true. If data is useful you by definition can’t have enough of it and if you have enough of it the net new data isn’t useful. After all, you rarely hear companies complain that they’ve refined too much oil.",{"type":20,"tag":21,"props":32339,"children":32340},{},[32341],{"type":25,"value":32342},"In economics, utility is a number, most often a currency value. If our objective function is to maximize the benefit to our organization, we can never have enough useful data. If we accept that premise, the question is no longer if we want the data or not, it is if we can obtain the data, by whatever means, for less than its value to us.",{"type":20,"tag":32344,"props":32345,"children":32347},"h5",{"id":32346},"companies-will-have-to-source-data-externally",[32348],{"type":25,"value":32349},"Companies Will Have to Source Data Externally",{"type":20,"tag":21,"props":32351,"children":32352},{},[32353],{"type":25,"value":32354},"By some estimates, 2.5 quintillion bytes of raw data are created each day. Any given company will represent a tiny fraction of that. Put plainly, companies know what they know and they don’t know what they don’t know.",{"type":20,"tag":21,"props":32356,"children":32357},{},[32358],{"type":25,"value":32359},"With data as the underpinning of growth and innovation strategies, this information gap will naturally lead to strategies to procure data through commercial relationships and partnerships. Data acquisition has become imperative.",{"type":20,"tag":5193,"props":32361,"children":32363},{"id":32362},"increased-demand-will-create-opportunities-for-companies-to-monetizedata",[32364],{"type":25,"value":32365},"Increased Demand Will Create Opportunities for Companies to Monetize Data",{"type":20,"tag":21,"props":32367,"children":32368},{},[32369],{"type":25,"value":32370},"We believe that the data economy will be demand-driven and that the extraordinary size of demand will lead to an increase in businesses meeting that demand through data monetization strategies. Data has a unique property that most monetizable assets don’t in that it can be sold multiple times with almost no marginal cost.",{"type":20,"tag":21,"props":32372,"children":32373},{},[32374],{"type":25,"value":32375},"Imagine if you could sell a company a barrel of oil, and then sell another company that same barrel of oil. This resale potential creates more robust opportunities for companies to build a business on. Although if not run strategically, sellers run the risk of commoditizing the data.",{"type":20,"tag":21,"props":32377,"children":32378},{},[32379,32381,32384],{"type":25,"value":32380},"Coming soon, The Narrative Manifesto part 2.",{"type":20,"tag":2006,"props":32382,"children":32383},{},[],{"type":25,"value":32385},"\nAn efficient automated Data Economy",{"type":20,"tag":21,"props":32387,"children":32388},{},[32389],{"type":25,"value":32390},"In part two of the Narrative Manifesto we dive deeper into what we believe needs to happen in order to identify useful and specific data for your data strategy, and how we’re acting on those beliefs.",{"title":8,"searchDepth":193,"depth":193,"links":32392},[32393,32394],{"id":32237,"depth":380,"text":32240},{"id":32276,"depth":380,"text":32282},"content:blog:the-narrative-manifesto.md","blog/the-narrative-manifesto.md","blog/the-narrative-manifesto",{"loc":32227},{"_path":8855,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":32400,"description":32401,"publishDate":32402,"author":3094,"ogImage":32403,"image":32403,"tags":32404,"authorSlug":3099,"body":32405,"_type":195,"_id":32621,"_source":197,"_file":32622,"_stem":32623,"_extension":200,"sitemap":32624},"The Narrative Manifesto Part Two","Successful data strategies are built on efficiency, transparency, and utility.","2019-01-17 15:34:00","/img/blog/2019/01/BLOG-032519-narrative-manifesto-2-blog-1.jpg",[209],{"type":17,"children":32406,"toc":32618},[32407,32413,32425,32431,32437,32442,32448,32453,32459,32464,32470,32476,32481,32487,32492,32498,32504,32509,32515,32521,32526,32532,32537,32545,32550,32556,32561,32567,32572,32577,32583,32588,32593,32598,32604,32609,32613],{"type":20,"tag":223,"props":32408,"children":32410},{"id":32409},"successful-data-strategies-are-built-on-efficiency-transparency-and-utility",[32411],{"type":25,"value":32412},"Successful data strategies are built on efficiency, transparency and utility",{"type":20,"tag":21,"props":32414,"children":32415},{},[32416,32418],{"type":25,"value":32417},"If you missed part one: ",{"type":20,"tag":44,"props":32419,"children":32422},{"href":32420,"rel":32421},"https://narrative.io/blog/the-narrative-manifesto/",[538],[32423],{"type":25,"value":32424},"The Narrative Manifesto - Achieving the Promise of the Data Economy.",{"type":20,"tag":5193,"props":32426,"children":32428},{"id":32427},"data-markets-need-to-be-efficient",[32429],{"type":25,"value":32430},"Data Markets Need to be Efficient",{"type":20,"tag":32344,"props":32432,"children":32434},{"id":32433},"executing-a-data-strategy-should-be-easy",[32435],{"type":25,"value":32436},"Executing a Data Strategy Should Be Easy",{"type":20,"tag":21,"props":32438,"children":32439},{},[32440],{"type":25,"value":32441},"Friction is enemy #1 to any emerging market. Data, being a complex asset used in countless ways, is especially susceptible to market friction. As this market continues to mature, every effort must be taken to eliminate inefficiency through standardization, automation, best practices, and common frameworks that can be used to simplify how companies interact. The challenge is while ease of use is critical – we must be vigilant not to over-simplify data to the point where we’ve removed its utility and specificity.",{"type":20,"tag":32344,"props":32443,"children":32445},{"id":32444},"todays-data-markets-are-inefficient",[32446],{"type":25,"value":32447},"Today’s Data Markets are Inefficient",{"type":20,"tag":21,"props":32449,"children":32450},{},[32451],{"type":25,"value":32452},"The efficient-market hypothesis states that asset prices fully reflect all available information making it impossible to “beat the market” consistently since market prices should only react to new information. Today’s markets are inefficient because the operators of those markets are creating information deserts through opacity.",{"type":20,"tag":32344,"props":32454,"children":32456},{"id":32455},"the-democratization-of-data-creates-shared-value",[32457],{"type":25,"value":32458},"The Democratization of Data Creates Shared Value",{"type":20,"tag":21,"props":32460,"children":32461},{},[32462],{"type":25,"value":32463},"We are firm believers that competition drives innovation. One of the existential threats to this thesis as it applies to data is that there has been a trend for data to be locked into silos managed by quasi-monopolistic companies. Data will not fulfill its innovation promise if not broadly available.",{"type":20,"tag":5193,"props":32465,"children":32467},{"id":32466},"we-need-to-eliminate-bad-actors",[32468],{"type":25,"value":32469},"We Need to Eliminate Bad Actors",{"type":20,"tag":32344,"props":32471,"children":32473},{"id":32472},"regulations-best-practices-will-create-a-more-sustained-ecosystem",[32474],{"type":25,"value":32475},"Regulations + Best Practices Will Create a More Sustained Ecosystem",{"type":20,"tag":21,"props":32477,"children":32478},{},[32479],{"type":25,"value":32480},"Historically regulators have struggled to keep up with the pace of innovation in data and technology, but they are starting to catch up. Frameworks like GDPR, HIPAA, and the CCPA have been enacted to make sure organizations respect consumer privacy and have codified many best practices that all organizations need to follow. We believe that this will be a good thing for data dependent organizations. Trust amongst all of the participants in the data economy is a requirement for it to reach its full potential.",{"type":20,"tag":5193,"props":32482,"children":32484},{"id":32483},"narrative-is-acting-on-these-beliefs",[32485],{"type":25,"value":32486},"Narrative is Acting on these Beliefs",{"type":20,"tag":21,"props":32488,"children":32489},{},[32490],{"type":25,"value":32491},"We started Narrative nearly three years ago because we understood the opportunity that data provides. We have held these fundamental beliefs from day one and we’ve been working to provide software solutions that allow companies to better capture that potential. Today we have over fifty companies using our products, but the journey has just begun. In the coming months, we’ll be rolling out many features that will continue to empower participants in the data economy – both those trying to monetize data and those focusing on data acquisition – to create better outcomes.",{"type":20,"tag":5193,"props":32493,"children":32495},{"id":32494},"data-needs-to-be-useful-and-specific",[32496],{"type":25,"value":32497},"Data Needs to be Useful and Specific",{"type":20,"tag":32344,"props":32499,"children":32501},{"id":32500},"data-alone-is-not-a-strategy",[32502],{"type":25,"value":32503},"Data alone is not a strategy",{"type":20,"tag":21,"props":32505,"children":32506},{},[32507],{"type":25,"value":32508},"It might seem obvious that data needs to be useful in order for it to have any value, but as in any emerging market, we’ve seen organizations that want to check a box without fully understanding what they are getting. Checking the box is not a long term strategy and we’re already seeing companies that are trying to measure the value of their data strategies. Unfortunately, there are market and technological realities that make that measurement difficult. At Narrative we’re working on solving those challenges by reimagining how the data economy operates.",{"type":20,"tag":5193,"props":32510,"children":32512},{"id":32511},"definitions",[32513],{"type":25,"value":32514},"Definitions",{"type":20,"tag":32344,"props":32516,"children":32518},{"id":32517},"specific",[32519],{"type":25,"value":32520},"Specific",{"type":20,"tag":21,"props":32522,"children":32523},{},[32524],{"type":25,"value":32525},"When we talk about data specificity we’re really talking about the amount of information a given piece of data can encode. Stating that a house is big is less specific than saying it is 6000 square feet. Specificity is directly correlated with utility in that the more information that can be encoded the more likely there is useful information. That being said, specificity alone does not ensure utility.",{"type":20,"tag":32344,"props":32527,"children":32529},{"id":32528},"useful",[32530],{"type":25,"value":32531},"Useful",{"type":20,"tag":21,"props":32533,"children":32534},{},[32535],{"type":25,"value":32536},"Whereas specificity is universal – data is either specific or it is not – data utility has to be defined in the context of the user. A data point may be useful for one task, but that same data point might not be useful for another task. One way to define data utility is in the context of signal vs. noise – in fact, the signal-to-noise ratio is sometimes used metaphorically to refer to the ratio of useful information to false or irrelevant data. Going back to our house analogy. You may know that the house is painted white and it has a three-foot tall picket fence, both very specific, but not very useful if your primary concern is how many square feet it is or if it had enough bedrooms and bathrooms to comfortably fit your family.",{"type":20,"tag":21,"props":32538,"children":32539},{},[32540],{"type":20,"tag":1630,"props":32541,"children":32544},{"alt":32542,"src":32543},"BLOG 031119 narrative manifesto Copy 2","https://images.ctfassets.net/kelnhsdbpwjk/IUD0hLkCg5fRkT9kC1Qcs/7698a6232c55157bb6f525580d645a87/BLOG_031119_narrative_manifesto_Copy_2.png",[],{"type":20,"tag":21,"props":32546,"children":32547},{},[32548],{"type":25,"value":32549},"The measure of utility will depend on how the data is being used. In the context of machine learning, it may be defined as how the data improves the predictive outcomes of the model. In the context of digital advertising, it may be measured by an increase in propensity to buy a particular product.",{"type":20,"tag":5193,"props":32551,"children":32553},{"id":32552},"foundational-concepts",[32554],{"type":25,"value":32555},"Foundational Concepts",{"type":20,"tag":21,"props":32557,"children":32558},{},[32559],{"type":25,"value":32560},"One of our focuses at Narrative is to create software that maximizes the potential for data being specific and useful. In order to do that we have focused on a handful of foundational concepts in all of our products.",{"type":20,"tag":32344,"props":32562,"children":32564},{"id":32563},"a-focus-on-raw-data",[32565],{"type":25,"value":32566},"A Focus on Raw Data",{"type":20,"tag":21,"props":32568,"children":32569},{},[32570],{"type":25,"value":32571},"A common mistake we see is that organizations, in an effort to simplify things, will aggregate their data assets. By definition, this is making the data less specific. It isn’t that data can’t be useful when aggregated, but aggregations can’t be undone. Plainly said, you can’t un-bake the cake.",{"type":20,"tag":21,"props":32573,"children":32574},{},[32575],{"type":25,"value":32576},"At Narrative our focus has always been on raw data – data that has gone through no aggregation.",{"type":20,"tag":32344,"props":32578,"children":32580},{"id":32579},"fine-grained-controls",[32581],{"type":25,"value":32582},"Fine-Grained Controls",{"type":20,"tag":21,"props":32584,"children":32585},{},[32586],{"type":25,"value":32587},"Raw data ensures that we retain specificity, but it doesn’t mean that the data will be useful. As we defined above, utility is in the eye of the beholder. A valuable piece of data for one person might be noise to another. This creates a situation where there isn’t a one size fits all solution. Instead, we needed to create a solution that allowed for bespoke data executions.",{"type":20,"tag":21,"props":32589,"children":32590},{},[32591],{"type":25,"value":32592},"We accomplished this by implementing a set of fine-grained controls by which our customers can package and select data. For example, if someone is creating a predictive model that is focused solely on citizens of the United States they can easily filter records to those indicating that they originated in the US. If a given record doesn’t specify – and thus isn’t specific enough – where it originated, it gets filtered. If a record is specific but originates outside of the US, it gets filtered.",{"type":20,"tag":21,"props":32594,"children":32595},{},[32596],{"type":25,"value":32597},"We’ve created a solution that ensures that our customers will only access data that is both specific and useful. While the country example is trivial, these filters apply across dozens of different attributes and can act as the first line of defense in increasing the signal-to-noise ratio.",{"type":20,"tag":32344,"props":32599,"children":32601},{"id":32600},"permissioned-and-compliant",[32602],{"type":25,"value":32603},"Permissioned and Compliant",{"type":20,"tag":21,"props":32605,"children":32606},{},[32607],{"type":25,"value":32608},"As a compliment to the fine-grained controls provided by our products, Narrative has placed compliance, privacy, permissioning, security, and trust at the center of our product. These features come in a number of forms, but we firmly believe that in order to build a more sustainable data economy these are core principles and not secondary issues to be treated as annoyances.",{"type":20,"tag":5193,"props":32610,"children":32611},{"id":10147},[32612],{"type":25,"value":10150},{"type":20,"tag":21,"props":32614,"children":32615},{},[32616],{"type":25,"value":32617},"In creating a product that sticks to the broad principles outlined here, we’ve made our partners lives easier and give them more power to re-envision their data strategy. Our work has only just begun and we’re excited to show off some of the new features we’ve been working on in the coming months.",{"title":8,"searchDepth":193,"depth":193,"links":32619},[32620],{"id":32409,"depth":380,"text":32412},"content:blog:the-narrative-manifesto-part-two.md","blog/the-narrative-manifesto-part-two.md","blog/the-narrative-manifesto-part-two",{"loc":8855},{"_path":32626,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":32627,"description":32628,"publishDate":32629,"author":1927,"ogImage":32630,"image":32630,"tags":32631,"authorSlug":1932,"body":32632,"_type":195,"_id":32829,"_source":197,"_file":32830,"_stem":32831,"_extension":200,"sitemap":32832},"/blog/the-next-wave-of-dooh-advertising","The Next Wave of DOOH Advertising Brings Efficiency and Impact Through Data","Narrative's powerful and intuitive data collaboration platform can make creating next-level digital-out-of-home campaigns fast and easy","2024-04-10 10:51:10","/img/blog/2024/04/DOOH-advertising.png",[1262,1263,165,1264,9748,24657],{"type":17,"children":32633,"toc":32823},[32634,32639,32644,32653,32658,32686,32693,32698,32721,32728,32733,32751,32760,32765,32818],{"type":20,"tag":21,"props":32635,"children":32636},{},[32637],{"type":25,"value":32638},"In the dynamic and ever-evolving advertising landscape, the emergence of digital Out-Of-Home (DOOH) advertising stands as a testament to innovation and growth. This modern iteration of traditional advertising uses digital technology to make public spaces interactive and engaging, offering an unskippable impression on consumers. Despite the clear advantages and upward trajectory of DOOH advertising, the effectiveness of these campaigns significantly hinges on the precision of the underlying data strategy.",{"type":20,"tag":21,"props":32640,"children":32641},{},[32642],{"type":25,"value":32643},"In this article, we're going to dig into the challenges a leading OOH platform was facing and how they leveraged Narrative for better outcomes.",{"type":20,"tag":223,"props":32645,"children":32647},{"id":32646},"starting-with-the-results",[32648],{"type":20,"tag":33,"props":32649,"children":32650},{},[32651],{"type":25,"value":32652},"Starting with the results.",{"type":20,"tag":21,"props":32654,"children":32655},{},[32656],{"type":25,"value":32657},"The impact of implementing Narrative's platform was immediate and profound for this OOH platform. By using the right data collaboration tools, they were able to:",{"type":20,"tag":903,"props":32659,"children":32660},{},[32661,32666,32671,32676,32681],{"type":20,"tag":907,"props":32662,"children":32663},{},[32664],{"type":25,"value":32665},"Deliver customized client solutions with unprecedented speed and efficiency.",{"type":20,"tag":907,"props":32667,"children":32668},{},[32669],{"type":25,"value":32670},"Navigate the complex data landscape with ease, acquiring MAIDs (mobile advertising IDs), enriching with demographic data, and segmenting data without the need for extensive manual intervention.",{"type":20,"tag":907,"props":32672,"children":32673},{},[32674],{"type":25,"value":32675},"Execute data transactions and campaigns within hours, not days, keeping pace with the fast-moving advertising world.",{"type":20,"tag":907,"props":32677,"children":32678},{},[32679],{"type":25,"value":32680},"Optimize their data strategy, achieving better client outcomes and a competitive edge in the market.",{"type":20,"tag":907,"props":32682,"children":32683},{},[32684],{"type":25,"value":32685},"45% cost savings on engineering and operation resources",{"type":20,"tag":223,"props":32687,"children":32688},{"id":15749},[32689],{"type":20,"tag":33,"props":32690,"children":32691},{},[32692],{"type":25,"value":15755},{"type":20,"tag":21,"props":32694,"children":32695},{},[32696],{"type":25,"value":32697},"Challenges were multifaceted, requiring a sophisticated solution to address their needs comprehensively. The company needed a way to:",{"type":20,"tag":903,"props":32699,"children":32700},{},[32701,32706,32711,32716],{"type":20,"tag":907,"props":32702,"children":32703},{},[32704],{"type":25,"value":32705},"Develop customized solutions for clients rapidly.",{"type":20,"tag":907,"props":32707,"children":32708},{},[32709],{"type":25,"value":32710},"Implement a hands-on approach to data management and acquisition.",{"type":20,"tag":907,"props":32712,"children":32713},{},[32714],{"type":25,"value":32715},"Ensure same-day turnaround for executing complex data transactions.",{"type":20,"tag":907,"props":32717,"children":32718},{},[32719],{"type":25,"value":32720},"Provide a one-stop solution for various data-related use cases, including acquiring new data, enriching existing datasets, segmenting audiences, and transferring data efficiently.",{"type":20,"tag":223,"props":32722,"children":32723},{"id":15773},[32724],{"type":20,"tag":33,"props":32725,"children":32726},{},[32727],{"type":25,"value":15779},{"type":20,"tag":21,"props":32729,"children":32730},{},[32731],{"type":25,"value":32732},"Narrative's Data Collaboration Platform emerged as a pivotal solution for this leading OOH platform. By establishing just one Master Service Agreement (MSA), they could unlock access to a vast array of data from over 70 different providers without paying for duplicate rows via a single business and legal framework. This streamlined method allowed the company to circumvent the traditionally complex and time-consuming process of negotiating individual agreements with each data provider, significantly enhancing efficiency and access to critical data resources, unlocking:",{"type":20,"tag":903,"props":32734,"children":32735},{},[32736,32741,32746],{"type":20,"tag":907,"props":32737,"children":32738},{},[32739],{"type":25,"value":32740},"Effortless execution of complex queries across disparate datasets.",{"type":20,"tag":907,"props":32742,"children":32743},{},[32744],{"type":25,"value":32745},"Acquisition of precise data tailored to specific campaigns or initiatives, expanding their data budget.",{"type":20,"tag":907,"props":32747,"children":32748},{},[32749],{"type":25,"value":32750},"The use of enriched data for more effective audience segmentation and targeted media activation, including innovative approaches like B2B enrichment for professional audience targeting in real-world settings.",{"type":20,"tag":223,"props":32752,"children":32754},{"id":32753},"digging-a-bit-deeper",[32755],{"type":20,"tag":33,"props":32756,"children":32757},{},[32758],{"type":25,"value":32759},"Digging a bit deeper",{"type":20,"tag":21,"props":32761,"children":32762},{},[32763],{"type":25,"value":32764},"The transformative solutions implemented by the OOH platform showcase a meticulous and innovative approach to data-driven advertising. By leveraging sophisticated data collaboration techniques, they've crafted a series of strategic measures to refine targeting and measure campaign efficacy with unparalleled precision.",{"type":20,"tag":903,"props":32766,"children":32767},{},[32768,32778,32788,32798,32808],{"type":20,"tag":907,"props":32769,"children":32770},{},[32771,32776],{"type":20,"tag":33,"props":32772,"children":32773},{},[32774],{"type":25,"value":32775},"Precision Targeting with Location Signals:",{"type":25,"value":32777}," The platform harnesses the power of location data by purchasing signals detected within the defined areas of their digital screens. This data identifies \"exposed audiences,\" namely individuals who have encountered their advertisements. This method ensures that marketing efforts are concentrated on consumers directly impacted by their ads, enhancing the relevance and effectiveness of each campaign.",{"type":20,"tag":907,"props":32779,"children":32780},{},[32781,32786],{"type":20,"tag":33,"props":32782,"children":32783},{},[32784],{"type":25,"value":32785},"Crafting a Control Group for Comparative Analysis:",{"type":25,"value":32787}," To further refine their strategy, the platform creates a \"control audience.\" This process involves identifying individuals who have not been exposed to the ads by filtering out the Mobile Advertising IDs (MAIDs) collected from the exposed group. This unexposed audience is crucial for conducting a comparative analysis, allowing the platform to assess the true impact of their advertisements by contrasting behaviors between those who have seen the ads and those who haven't.",{"type":20,"tag":907,"props":32789,"children":32790},{},[32791,32796],{"type":20,"tag":33,"props":32792,"children":32793},{},[32794],{"type":25,"value":32795},"Enrichment for Deeper Insights and Attribution:",{"type":25,"value":32797}," The platform embarks on several enrichment initiatives to deepen their campaign analysis. The first involves acquiring IP addresses linked to the exposed audience (MAID to IP matching), enabling a sophisticated attribution model. This approach allows them to track if individuals exposed to the ads visit the advertiser’s website, offering direct insight into online behavior post-ad exposure.",{"type":20,"tag":907,"props":32799,"children":32800},{},[32801,32806],{"type":20,"tag":33,"props":32802,"children":32803},{},[32804],{"type":25,"value":32805},"Enhanced Media Activation with Email Targeting:",{"type":25,"value":32807}," Another enrichment strategy involves matching exposed MAIDs with Household Emails (HEMs). By purchasing these HEMs, the platform can engage in targeted media activations on platforms like LinkedIn, extending the reach and impact of their campaigns into the digital realm and ensuring a multi-channel approach to audience engagement.",{"type":20,"tag":907,"props":32809,"children":32810},{},[32811,32816],{"type":20,"tag":33,"props":32812,"children":32813},{},[32814],{"type":25,"value":32815},"Innovating with B2B Enrichment:",{"type":25,"value":32817}," On the horizon, the platform is exploring the enrichment of exposed MAIDs with Business-to-Business (B2B) signals, such as company size and industry name. Although in its nascent stages, this ambitious endeavor aims to tailor DOOH campaigns more precisely for professional audiences, promising to unlock new levels of customization and relevance in B2B advertising.",{"type":20,"tag":21,"props":32819,"children":32820},{},[32821],{"type":25,"value":32822},"By harnessing the power of Narrative’s cutting-edge data collaboration platform, this OOH platform has not only overcome its initial challenges but has also set a new standard in the DOOH advertising sector. The story exemplifies the transformative power of the right technology partnerships and innovative data strategies, driving efficiency, growth, and success in the digital age. As DOOH continues to thrive, the future of advertising looks bright—dynamic, data-driven, and more engaging than ever before.",{"title":8,"searchDepth":193,"depth":193,"links":32824},[32825,32826,32827,32828],{"id":32646,"depth":380,"text":32652},{"id":15749,"depth":380,"text":15755},{"id":15773,"depth":380,"text":15779},{"id":32753,"depth":380,"text":32759},"content:blog:the-next-wave-of-DOOH-advertising.md","blog/the-next-wave-of-DOOH-advertising.md","blog/the-next-wave-of-DOOH-advertising",{"loc":32626},{"_path":32834,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":32835,"description":32836,"publishDate":32837,"author":1927,"ogImage":32838,"image":32838,"tags":32839,"authorSlug":1932,"body":32840,"_type":195,"_id":33129,"_source":197,"_file":33130,"_stem":33131,"_extension":200,"sitemap":33132},"/blog/the-power-of-query-builder","The Power of Query Builder","Query Builder is an intuitive, user-friendly interface designed to simplify the complexities of big data querying for users of all skill levels.","2024-02-26 15:27:10","/img/blog/2024/02/the-power-of-query-builder.png",[1262,1263,165,1264],{"type":17,"children":32841,"toc":33119},[32842,32847,32856,32861,32866,32875,32880,32923,32932,32935,32945,32948,32991,33000,33005,33014,33019,33022,33029,33032,33041,33046,33055,33060,33093,33102,33107,33114],{"type":20,"tag":21,"props":32843,"children":32844},{},[32845],{"type":25,"value":32846},"Welcome to the future of data querying at Narrative I/O, where we're thrilled to unveil Query Builder: an intuitive, user-friendly interface designed to simplify the complexities of big data querying for users of all skill levels. This innovative tool is poised to transform how you interact with data within the Narrative ecosystem, making data querying seamless, whether it's from your own company datasets or from third-party sources.",{"type":20,"tag":223,"props":32848,"children":32850},{"id":32849},"simplified-data-querying-for-everyone",[32851],{"type":20,"tag":33,"props":32852,"children":32853},{},[32854],{"type":25,"value":32855},"Simplified Data Querying for Everyone",{"type":20,"tag":21,"props":32857,"children":32858},{},[32859],{"type":25,"value":32860},"While Query Builder is designed to simplify the data querying process, the power of NQL (Narrative Query Language) underpins its operations, offering unparalleled flexibility and precision. NQL allows users to articulate complex data requirements with accuracy, enabling sophisticated querying capabilities that can handle nuanced data exploration tasks. Whether you're filtering vast datasets, performing detailed temporal analyses, or specifying intricate data relationships, NQL provides the syntax and structure to execute your queries with confidence.",{"type":20,"tag":21,"props":32862,"children":32863},{},[32864],{"type":25,"value":32865},"The integration of Query Builder with NQL means that users can construct their queries visually and then see the corresponding NQL code. This dual approach demystifies NQL for those less familiar, while still offering the depth and flexibility that data professionals appreciate. It's a bridge between simplicity and complexity, ensuring that all users, regardless of their technical background, can harness the full power of Narrative’s data querying capabilities.",{"type":20,"tag":223,"props":32867,"children":32869},{"id":32868},"the-strategic-advantage-of-query-builder",[32870],{"type":20,"tag":33,"props":32871,"children":32872},{},[32873],{"type":25,"value":32874},"The Strategic Advantage of Query Builder",{"type":20,"tag":21,"props":32876,"children":32877},{},[32878],{"type":25,"value":32879},"Query Builder isn't just a tool; it's a strategic asset for businesses and data professionals alike. By encapsulating the complexity of NQL and the power of Rosetta into a user-friendly interface, it enables users to:",{"type":20,"tag":903,"props":32881,"children":32882},{},[32883,32893,32903,32913],{"type":20,"tag":907,"props":32884,"children":32885},{},[32886,32891],{"type":20,"tag":33,"props":32887,"children":32888},{},[32889],{"type":25,"value":32890},"Execute complex queries with ease",{"type":25,"value":32892},": The intuitive UI reduces the learning curve for NQL, making complex data querying accessible to a broader audience.",{"type":20,"tag":907,"props":32894,"children":32895},{},[32896,32901],{"type":20,"tag":33,"props":32897,"children":32898},{},[32899],{"type":25,"value":32900},"Enhance data discovery",{"type":25,"value":32902},": With Rosetta Stone, users can explore and integrate a wider range of data sources, opening new avenues for insight and analysis.",{"type":20,"tag":907,"props":32904,"children":32905},{},[32906,32911],{"type":20,"tag":33,"props":32907,"children":32908},{},[32909],{"type":25,"value":32910},"Accelerate decision-making",{"type":25,"value":32912},": Quick sample data generation and forecast capabilities allow for rapid iteration and refinement of queries, speeding up the data exploration process and enabling faster decision-making.",{"type":20,"tag":907,"props":32914,"children":32915},{},[32916,32921],{"type":20,"tag":33,"props":32917,"children":32918},{},[32919],{"type":25,"value":32920},"Optimize data spending",{"type":25,"value":32922},": The ability to set budgetary limits within queries ensures that data acquisition costs are aligned with business priorities and constraints.",{"type":20,"tag":223,"props":32924,"children":32926},{"id":32925},"step-by-step-workflow",[32927],{"type":20,"tag":33,"props":32928,"children":32929},{},[32930],{"type":25,"value":32931},"Step-by-Step Workflow",{"type":20,"tag":2006,"props":32933,"children":32934},{},[],{"type":20,"tag":21,"props":32936,"children":32937},{},[32938],{"type":20,"tag":1630,"props":32939,"children":32944},{"alt":32940,"height":32941,"src":32942,"width":32943},"image","auto","/img/blog/2024/02/query-builder-1.png",800,[],{"type":20,"tag":2006,"props":32946,"children":32947},{},[],{"type":20,"tag":903,"props":32949,"children":32950},{},[32951,32961,32971,32981],{"type":20,"tag":907,"props":32952,"children":32953},{},[32954,32959],{"type":20,"tag":33,"props":32955,"children":32956},{},[32957],{"type":25,"value":32958},"Select Your Data Source",{"type":25,"value":32960},": Kickstart your query by choosing \"My Data\" for personal datasets or \"Rosetta Stone\" for third-party data. 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By selecting the \"Ask Rosetta\" button at any point in Query Builder’s workflow, users can articulate their query needs in plain English. Rosetta then interprets these requirements, translating them into precise NQL. This unique feature not only enhances the user experience but also serves as an educational tool, bridging the gap between conceptual data queries and their technical execution.",{"type":20,"tag":223,"props":33047,"children":33049},{"id":33048},"from-query-to-action",[33050],{"type":20,"tag":33,"props":33051,"children":33052},{},[33053],{"type":25,"value":33054},"From Query to Action",{"type":20,"tag":21,"props":33056,"children":33057},{},[33058],{"type":25,"value":33059},"After crafting a query using Query Builder, users are presented with several powerful options to finalize their data exploration journey:",{"type":20,"tag":903,"props":33061,"children":33062},{},[33063,33073,33083],{"type":20,"tag":907,"props":33064,"children":33065},{},[33066,33071],{"type":20,"tag":33,"props":33067,"children":33068},{},[33069],{"type":25,"value":33070},"Sample Run",{"type":25,"value":33072},": Before committing resources, users can execute a sample run of their query. This provides a sneak peek into the output and sample rows, ensuring the query aligns with their expectations and objectives.",{"type":20,"tag":907,"props":33074,"children":33075},{},[33076,33081],{"type":20,"tag":33,"props":33077,"children":33078},{},[33079],{"type":25,"value":33080},"Forecasting",{"type":25,"value":33082},": To gauge the scope and potential cost of a query, users can opt for a forecast run. This feature estimates the number of rows matching the query parameters and the associated costs, offering valuable insights for budget planning.",{"type":20,"tag":907,"props":33084,"children":33085},{},[33086,33091],{"type":20,"tag":33,"props":33087,"children":33088},{},[33089],{"type":25,"value":33090},"Dataset Creation",{"type":25,"value":33092},": Once satisfied with the query's setup and its forecasted impact, users can proceed to run the query, resulting in the creation of a new dataset.",{"type":20,"tag":223,"props":33094,"children":33096},{"id":33095},"pushing-to-a-destination",[33097],{"type":20,"tag":33,"props":33098,"children":33099},{},[33100],{"type":25,"value":33101},"Pushing to a Destination",{"type":20,"tag":21,"props":33103,"children":33104},{},[33105],{"type":25,"value":33106},"The journey doesn't end with dataset creation. Narrative I/O offers users the option to push their curated datasets to various destinations, amplifying the value and utility of their data. Whether it's cloud storage solutions like AWS S3 buckets or activation platforms such as Facebook and Trade Desk, users can seamlessly transfer their datasets, ensuring their insights are actionable and integrated within their broader data strategy. This final step in Query Builder’s workflow exemplifies Narrative I/O's holistic approach to data management, from query creation to real-world application.",{"type":20,"tag":223,"props":33108,"children":33109},{"id":1400},[33110],{"type":20,"tag":33,"props":33111,"children":33112},{},[33113],{"type":25,"value":1403},{"type":20,"tag":21,"props":33115,"children":33116},{},[33117],{"type":25,"value":33118},"Narrative I/O's Query Builder, augmented by the intelligent assistance of Rosetta and the comprehensive capabilities of the Rosetta Stone attribute library, offers an unparalleled platform for data querying. It's designed to democratize data exploration, making it accessible, intuitive, and impactful for users of all backgrounds. By simplifying complex data interactions and providing pathways to actionable insights, Narrative I/O reaffirms its position as a leader in data innovation. Query Builder is more than just a tool; it's a gateway to unlocking the potential of your data, designed to foster informed decision-making and strategic advantage in today's data-driven world.",{"title":8,"searchDepth":193,"depth":193,"links":33120},[33121,33122,33123,33124,33125,33126,33127,33128],{"id":32849,"depth":380,"text":32855},{"id":32868,"depth":380,"text":32874},{"id":32925,"depth":380,"text":32931},{"id":32993,"depth":380,"text":32999},{"id":33034,"depth":380,"text":33040},{"id":33048,"depth":380,"text":33054},{"id":33095,"depth":380,"text":33101},{"id":1400,"depth":380,"text":1403},"content:blog:the-power-of-query-builder.md","blog/the-power-of-query-builder.md","blog/the-power-of-query-builder",{"loc":32834},{"_path":19597,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":33134,"description":33135,"publishDate":33136,"author":29873,"ogImage":33137,"image":33137,"tags":33138,"body":33139,"_type":195,"_id":33221,"_source":197,"_file":33222,"_stem":33223,"_extension":200,"sitemap":33224},"Buying data should be more like Spotify and less like Sam Goody","Data should be able to be found, bought, and sold as easily as digital singles.","2019-11-22 16:00:00","/img/blog/2019/11/data-singles.png",[4365,209],{"type":17,"children":33140,"toc":33218},[33141,33147,33152,33166,33171,33183,33188,33193,33205],{"type":20,"tag":223,"props":33142,"children":33144},{"id":33143},"data-should-be-able-to-be-found-bought-and-sold-as-easily-as-digital-singles",[33145],{"type":25,"value":33146},"Data should be able to be found, bought, and sold as easily as digital singles",{"type":20,"tag":21,"props":33148,"children":33149},{},[33150],{"type":25,"value":33151},"In today’s data economy, growth is slowed by friction created in how data is bought and sold. Contracts, integrations, and firehoses of data make transactions a slog. Unless the last mile which connects buyers and sellers of data is joined, all industries that use data as their fuel will suffer.",{"type":20,"tag":21,"props":33153,"children":33154},{},[33155,33157,33164],{"type":25,"value":33156},"A few years ago, I read an ",{"type":20,"tag":44,"props":33158,"children":33161},{"href":33159,"rel":33160},"https://money.cnn.com/2013/04/25/technology/itunes-music-decline/index.html",[538],[33162],{"type":25,"value":33163},"article",{"type":25,"value":33165}," that talked about how iTunes didn’t ruin the record business, having to buy the whole album did. A similar transformation is underway in the data industry. In both cases, technology allows for the aggregation and distribution of only the specific elements the end user wants.",{"type":20,"tag":21,"props":33167,"children":33168},{},[33169],{"type":25,"value":33170},"Sellers of data, like record execs, may be concerned by large data sets being broken apart and scrutinized by potential clients to identify and buy only relevant elements. But in the long run this creates a distinct advantage for the seller. By setting different values for different types of data, the seller can license each for a higher rate. As that asset grows, sellers reap more revenue than if their most valuable data was only sold in bulk.",{"type":20,"tag":21,"props":33172,"children":33173},{},[33174,33176,33181],{"type":25,"value":33175},"For buyers, having a centralized place to ",{"type":20,"tag":44,"props":33177,"children":33178},{"href":7556},[33179],{"type":25,"value":33180},"discover",{"type":25,"value":33182},", evaluate, augment, and purchase data is the key to removing the roadblocks which are slowing the growth of the data economy. Fewer integrations, fewer contracts, and more granular purchasing options lowers the cost of entry for consumers. With a lower cost of entry, data can be accessed and utilized quicker, easier, and more often, bringing value to both buyers and sellers.",{"type":20,"tag":21,"props":33184,"children":33185},{},[33186],{"type":25,"value":33187},"This is the “last mile” connecting data buyers and sellers — what it would look like if iTunes or Spotify sold data.",{"type":20,"tag":21,"props":33189,"children":33190},{},[33191],{"type":25,"value":33192},"Observed, raw, unfiltered data is the fuel which feeds the work of data scientist, AI teams, and marketers. In order to realize the full potential that data offers, suppliers and consumers of this data must embrace a new way of discovery and monetization.",{"type":20,"tag":21,"props":33194,"children":33195},{},[33196,33198,33203],{"type":25,"value":33197},"Technology can alleviate the friction which slows, or in some cases stops, the data economy from growing. ",{"type":20,"tag":44,"props":33199,"children":33200},{"href":7879},[33201],{"type":25,"value":33202},"If data outcomes were achieved faster",{"type":25,"value":33204}," and at a lower cost, how much benefit would this provide to your organization? Multiplied out across all data sets and use cases, the shift to technology-driven data monetization could change the data economy forever.",{"type":20,"tag":21,"props":33206,"children":33207},{},[33208],{"type":20,"tag":33,"props":33209,"children":33210},{},[33211,33213],{"type":25,"value":33212},"Want to lower the cost and increase the speed of your data acquisition and monetization efforts? ",{"type":20,"tag":44,"props":33214,"children":33215},{"href":180},[33216],{"type":25,"value":33217},"Connect with a member of our team to find out how.",{"title":8,"searchDepth":193,"depth":193,"links":33219},[33220],{"id":33143,"depth":380,"text":33146},"content:blog:the-spotify-of-data.md","blog/the-spotify-of-data.md","blog/the-spotify-of-data",{"loc":19597},{"_path":33226,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":33227,"description":24309,"publishDate":33228,"author":3094,"ogImage":33229,"image":33229,"tags":33230,"authorSlug":3099,"body":33231,"_type":195,"_id":33580,"_source":197,"_file":33581,"_stem":33582,"_extension":200,"sitemap":33583},"/blog/the-state-of-the-data-economy","The State of the Data Economy","2017-04-24 10:37:00","/img/blog/2017/04/042417-data-economy.jpg",[209],{"type":17,"children":33232,"toc":33577},[33233,33239,33243,33248,33261,33269,33274,33279,33292,33304,33309,33314,33319,33324,33330,33335,33341,33346,33351,33356,33361,33366,33371,33376,33389,33394,33400,33405,33409,33414,33419,33424,33429,33434,33439,33445,33450,33455,33473,33478,33483,33488,33493,33506,33510,33515,33520,33526,33531,33536,33541,33546,33552,33557,33563,33568],{"type":20,"tag":223,"props":33234,"children":33236},{"id":33235},"as-data-has-become-more-important-the-data-toolchain-hasnt-kept-up",[33237],{"type":25,"value":33238},"As data has become more important the data toolchain hasn't kept up",{"type":20,"tag":21,"props":33240,"children":33241},{},[33242],{"type":25,"value":24309},{"type":20,"tag":21,"props":33244,"children":33245},{},[33246],{"type":25,"value":33247},"For example, back in 2012, as Apple was launching the iPhone 5 to replace the iPhone 4S, investment bank, Piper Jaffray, wanted to know how the new phone was being received by consumers. Apple is notoriously tight-lipped about projected and actual sales of their flagship product, so they couldn’t expect any information from the Cupertino tech giant.",{"type":20,"tag":21,"props":33249,"children":33250},{},[33251,33253,33260],{"type":25,"value":33252},"Instead, managing director Gene Munster sent Jaffray staffers to count the number of people standing in line at Apple Stores around the country to see how the number compared to the year before ",{"type":20,"tag":44,"props":33254,"children":33257},{"href":33255,"rel":33256},"http://mashable.com/2012/09/21/iphone-5-line-2//#pTbjbtIGUiqG",[538],[33258],{"type":25,"value":33259},"when the 4S was being released",{"type":25,"value":191},{"type":20,"tag":21,"props":33262,"children":33263},{},[33264],{"type":20,"tag":1630,"props":33265,"children":33268},{"alt":33266,"src":33267},"apple-store-line-iPhone-release","https://solutions.narrative.io/hubfs/apple-store-line-iPhone-release.png",[],{"type":20,"tag":21,"props":33270,"children":33271},{},[33272],{"type":25,"value":33273},"The news was good for Apple. The number of people standing in line was up 68% at Apple’s 5th Avenue location. The total number of people counted over the two launches? 1235.",{"type":20,"tag":21,"props":33275,"children":33276},{},[33277],{"type":25,"value":33278},"The two points I find most interesting about the Piper Jaffray story are:",{"type":20,"tag":903,"props":33280,"children":33281},{},[33282,33287],{"type":20,"tag":907,"props":33283,"children":33284},{},[33285],{"type":25,"value":33286},"They didn’t have the data they needed to run their analysis",{"type":20,"tag":907,"props":33288,"children":33289},{},[33290],{"type":25,"value":33291},"To get the data, they implemented an incredibly inefficient, unscalable, and inaccurate solution.",{"type":20,"tag":21,"props":33293,"children":33294},{},[33295,33297],{"type":25,"value":33296},"Sending humans to manually count large numbers of other humans is a labor-intensive process. Apple has hundreds of retail locations globally. Sending someone to each one isn’t possible and, even if it was, you’d still have the problem of not counting people purchasing phones at non-Apple Store retailers. The obvious solution is to try to measure at stores that are representative of the entire population. Any pollster can tell you ",{"type":20,"tag":44,"props":33298,"children":33301},{"href":33299,"rel":33300},"https://fivethirtyeight.com/features/what-the-stunning-bernie-sanders-win-in-michigan-means/",[538],[33302],{"type":25,"value":33303},"this is easier said than done.",{"type":20,"tag":21,"props":33305,"children":33306},{},[33307],{"type":25,"value":33308},"Piper Jaffray, an investment bank with over $8 billion of assets under management, needed information but they didn’t have the data they required to efficiently model iPhone sales. So, despite their extensive resources, they had to resort to an unsustainable process to get the data.",{"type":20,"tag":21,"props":33310,"children":33311},{},[33312],{"type":25,"value":33313},"This is an often-overlooked reality in the era of ubiquitous “big data.”",{"type":20,"tag":21,"props":33315,"children":33316},{},[33317],{"type":25,"value":33318},"Stories like this aren’t uncommon in today’s data obsessed businesses. From retailers using predictive analytics to inform their merchandising strategy to manufacturers using data to reduce waste, improve quality and increase yield.",{"type":20,"tag":21,"props":33320,"children":33321},{},[33322],{"type":25,"value":33323},"Of course, companies that want to leverage data to run their business more effectively are acutely aware they don’t always have the data to execute on that strategy. This has led to the birth of a market that operates mostly behind the scenes where companies buy, sell, and trade data sets. These new markets have the potential to change how we do business if they can make raw data more accessible and usable for the companies that need it.",{"type":20,"tag":5193,"props":33325,"children":33327},{"id":33326},"the-data-value-exchange",[33328],{"type":25,"value":33329},"The data value exchange",{"type":20,"tag":21,"props":33331,"children":33332},{},[33333],{"type":25,"value":33334},"Companies are starting to view data as an asset, like any physical asset. The challenge with data is that it’s a new type of asset that lacks a history of best practices, tools, and expertise around it. As companies look at ways of transacting around this asset they run in a number of inefficiencies that are not easily overcome.",{"type":20,"tag":5193,"props":33336,"children":33338},{"id":33337},"discovery-finding-data-to-use",[33339],{"type":25,"value":33340},"Discovery: Finding data to use",{"type":20,"tag":21,"props":33342,"children":33343},{},[33344],{"type":25,"value":33345},"Let’s start by looking at buyers.",{"type":20,"tag":21,"props":33347,"children":33348},{},[33349],{"type":25,"value":33350},"First we should note that data acquisition is happening across a variety of industries, use cases, and job functions within an organization. It is hard to define an “average” case. That being said there are some commonalities.",{"type":20,"tag":21,"props":33352,"children":33353},{},[33354],{"type":25,"value":33355},"Typically, it starts within an organization’s business development team. Someone is charged with finding the data — a task that’s easier said than done. Most business development professionals begin by making a list of everyone that they think might have the data. Ironically, it’s not a data-driven process. It involves brainstorming based on existing relationships and hunches.",{"type":20,"tag":21,"props":33357,"children":33358},{},[33359],{"type":25,"value":33360},"In this example, let’s say the list has 100 potential companies. When contacted, most of these companies likely don’t have the data the buyer is looking for or they don’t have the data at the scale the buyer needs. Depending on the quality of hunches in this first step, the list may quickly drop to 20 opportunities.",{"type":20,"tag":21,"props":33362,"children":33363},{},[33364],{"type":25,"value":33365},"These 20 companies present a new challenge: Just because they have the data doesn’t mean they want to sell it.",{"type":20,"tag":21,"props":33367,"children":33368},{},[33369],{"type":25,"value":33370},"This is what I refer to as a sell-side discovery problem. For most companies, monetizing their data assets isn’t their core business. When they get the opportunity to sell their data, they don’t necessarily have the operational bandwidth or expertise to fully realize the scope of the opportunity.",{"type":20,"tag":21,"props":33372,"children":33373},{},[33374],{"type":25,"value":33375},"For buyers, this looks like 75% of potential sellers opting not to sell their data because:",{"type":20,"tag":903,"props":33377,"children":33378},{},[33379,33384],{"type":20,"tag":907,"props":33380,"children":33381},{},[33382],{"type":25,"value":33383},"They have no way to quantify the size of the opportunity, or",{"type":20,"tag":907,"props":33385,"children":33386},{},[33387],{"type":25,"value":33388},"They want to avoid distractions them from their core business.",{"type":20,"tag":21,"props":33390,"children":33391},{},[33392],{"type":25,"value":33393},"For the seller, it’s a missed opportunity to monetize a core asset.",{"type":20,"tag":5193,"props":33395,"children":33397},{"id":33396},"pricing-understanding-the-value-of-data",[33398],{"type":25,"value":33399},"Pricing: Understanding the value of data",{"type":20,"tag":21,"props":33401,"children":33402},{},[33403],{"type":25,"value":33404},"If we could make a match between buyer and seller, the next step in the process is negotiating the price of the data and which data can be purchased.",{"type":20,"tag":21,"props":33406,"children":33407},{},[33408],{"type":25,"value":33404},{"type":20,"tag":21,"props":33410,"children":33411},{},[33412],{"type":25,"value":33413},"Because the data economy largely exists behind closed doors, there isn’t an efficient mechanism to price data. And, unlike fixed assets, the typical rules of supply and demand don’t apply. Negotiations begin with the seller saying they want a huge sum of money, and the buyer counters that they can’t afford much.",{"type":20,"tag":21,"props":33415,"children":33416},{},[33417],{"type":25,"value":33418},"This gap exists, at least partially, because these deals tend to happen against huge data sets. If the parties were negotiating the price for the data on a data point by data point basis, it would be much easier to agree to terms.",{"type":20,"tag":21,"props":33420,"children":33421},{},[33422],{"type":25,"value":33423},"The challenge becomes how to efficiently negotiate across millions, or even billions, of individual data points. It’s a problem that’s been solved in other disciplines, such as high-frequency trading in financial markets and advertising exchanges by creating high-volume, biddable marketplaces.",{"type":20,"tag":21,"props":33425,"children":33426},{},[33427],{"type":25,"value":33428},"The fact that these data sets are transacted in bulk also leads to an optimization problem for buyers. The problem shows up when the buyer realizes they’re buying the same data multiple times.",{"type":20,"tag":21,"props":33430,"children":33431},{},[33432],{"type":25,"value":33433},"It’s like a collector buying baseball cards by the pack. They purchase a bulk set of cards; usually ten per pack. When they purchase multiple packs, there’s a good chance they’ll end up with duplicate cards.",{"type":20,"tag":21,"props":33435,"children":33436},{},[33437],{"type":25,"value":33438},"The same applies to buying data: The buyer is getting less return for their investment because duplicate data adds no incremental value.",{"type":20,"tag":5193,"props":33440,"children":33442},{"id":33441},"delivery-sending-and-receiving-a-virtual-asset",[33443],{"type":25,"value":33444},"Delivery: Sending and receiving a virtual asset",{"type":20,"tag":21,"props":33446,"children":33447},{},[33448],{"type":25,"value":33449},"If the parties can overcome the inefficiencies of discovery and and the difficulty of pricing the data, they graduate to the challenge of how to send and receive the data.",{"type":20,"tag":21,"props":33451,"children":33452},{},[33453],{"type":25,"value":33454},"There’s no real standard for how parties deliver data and this creates a host of issues:",{"type":20,"tag":903,"props":33456,"children":33457},{},[33458,33463,33468],{"type":20,"tag":907,"props":33459,"children":33460},{},[33461],{"type":25,"value":33462},"Every data transaction deal results in a net new integration that needs to be done. The added work often limits the number of deals either side is willing to do.",{"type":20,"tag":907,"props":33464,"children":33465},{},[33466],{"type":25,"value":33467},"Prioritizing the work on both sides can take a long time. There have been instances where the actual integration is completed over a year after the data contracts were signed.",{"type":20,"tag":907,"props":33469,"children":33470},{},[33471],{"type":25,"value":33472},"Completing the integration is really only just the beginning. Data integrations are notorious for how fragile they are. That fragility leads to long-term maintenance costs that are often poorly understood by the organizations involved.",{"type":20,"tag":21,"props":33474,"children":33475},{},[33476],{"type":25,"value":33477},"The sooner we establish a centralized platform based on best practices for sourcing, valuing and integrating data being purchased, the sooner we’ll truly benefit from the data that’s available for use.",{"type":20,"tag":21,"props":33479,"children":33480},{},[33481],{"type":25,"value":33482},"As the data economy begins to flourish, a variety of solutions have popped up to meet the needs on the buy-side and sell-side. They each have their pros and cons, but none fully meets the needs of organizations trying to develop a robust data strategy.",{"type":20,"tag":21,"props":33484,"children":33485},{},[33486],{"type":25,"value":33487},"The most obvious way that data deals are done is through point-to-point relationships. This is where a buyer and a seller agree to deal terms and pass data directly amongst themselves.",{"type":20,"tag":21,"props":33489,"children":33490},{},[33491],{"type":25,"value":33492},"There are some disadvantages to this type of deal:",{"type":20,"tag":903,"props":33494,"children":33495},{},[33496,33501],{"type":20,"tag":907,"props":33497,"children":33498},{},[33499],{"type":25,"value":33500},"Most notably, these deals require an incredible amount of human capital to sign, so they’re hard to scale. To put it in perspective a single data deal likely involves resources on both sides from business development, product management, engineering, legal, and finance.",{"type":20,"tag":907,"props":33502,"children":33503},{},[33504],{"type":25,"value":33505},"Direct deals also don’t allow for optimization by either the buyer or seller. Each side is locked into whatever terms were negotiated upfront. The seller can’t efficiently increase yield through competition and the buyer can’t easily tune the data they’re buying.",{"type":20,"tag":21,"props":33507,"children":33508},{},[33509],{"type":25,"value":20788},{"type":20,"tag":21,"props":33511,"children":33512},{},[33513],{"type":25,"value":33514},"Airlines long ago figured out that running their systems point-to-point from every city wasn’t scalable. They addressed this by creating a hub and spoke model to create efficiencies in how they get passengers from point A to point B.",{"type":20,"tag":21,"props":33516,"children":33517},{},[33518],{"type":25,"value":33519},"Though point-to-point deals have downsides, it’s worth noting they often give buyers access to data sets that their competitors can’t obtain. This is a side effect of the general inefficiency of direct data deals but it’s not exclusive to this type of deal.",{"type":20,"tag":5193,"props":33521,"children":33523},{"id":33522},"data-arbitrage-networks",[33524],{"type":25,"value":33525},"Data Arbitrage / Networks",{"type":20,"tag":21,"props":33527,"children":33528},{},[33529],{"type":25,"value":33530},"As the inefficiency of direct deals became obvious, a number of data networks began to pop up.",{"type":20,"tag":21,"props":33532,"children":33533},{},[33534],{"type":25,"value":33535},"Data networks generally act as an intermediary between the buyer and seller. They pay the data owners a flat fee for their data and then resell it with a significant markup. Most of these businesses justify their exorbitant fees by applying their “secret sauce” between the seller and the buyer. In many cases that marketed value-add is either nonexistent or not worth the mark up applied by the middle man.",{"type":20,"tag":21,"props":33537,"children":33538},{},[33539],{"type":25,"value":33540},"This model eliminates some of the inefficiencies of the direct deal but they come with their own issues. Essentially, the intermediary creates an impenetrable wall between the buyer and the seller. This lack of visibility leads to incentive alignment issues. In other words, these networks are incentivized toward their own bottom line, as opposed to the value or utility of the data. Put even more simply these networks are doing data arbitrage.",{"type":20,"tag":21,"props":33542,"children":33543},{},[33544],{"type":25,"value":33545},"Arbitrage is a sign that the market is inefficient, which is a side effect of the market being in its infancy or hasn’t fully matured. But the data economy is hitting an inflection point where we’re seeing tools that address some of these issues and those tools are pushing the market to the next level of maturation.",{"type":20,"tag":5193,"props":33547,"children":33549},{"id":33548},"data-co-ops",[33550],{"type":25,"value":33551},"Data Co-ops",{"type":20,"tag":21,"props":33553,"children":33554},{},[33555],{"type":25,"value":33556},"Some companies join co-ops to get the use of additional data from other businesses. Data co-ops allow members to tap into data contributed by other member companies. The intent is to enable members to expand their reach and scale their efforts beyond the limitations of their internal data sets. The problem is it’s not an efficient way to transact data. Member companies don’t know up-front what they’re getting or if it will meet their needs.",{"type":20,"tag":5193,"props":33558,"children":33560},{"id":33559},"where-do-we-go-from-here",[33561],{"type":25,"value":33562},"Where do we go from here?",{"type":20,"tag":21,"props":33564,"children":33565},{},[33566],{"type":25,"value":33567},"The inherent and ongoing problems with buying and selling data highlights a critical need in the industry. Various data transaction models have attempted to solve these issues, but there isn’t a standout solution. The industry needs a solution that addresses buy and sell challenges to create an ROI-positive experience for both data owners and data consumers. It’s the only way to stay competitive in the data economy.",{"type":20,"tag":21,"props":33569,"children":33570},{},[33571,33573,33576],{"type":25,"value":33572},"**By Nick Jordan",{"type":20,"tag":2006,"props":33574,"children":33575},{},[],{"type":25,"value":8168},{"title":8,"searchDepth":193,"depth":193,"links":33578},[33579],{"id":33235,"depth":380,"text":33238},"content:blog:the-state-of-the-data-economy.md","blog/the-state-of-the-data-economy.md","blog/the-state-of-the-data-economy",{"loc":33226},{"_path":33585,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":33586,"description":33587,"publishDate":33588,"author":12,"ogImage":33589,"image":33589,"tags":33590,"body":33591,"_type":195,"_id":33772,"_source":197,"_file":33773,"_stem":33774,"_extension":200,"sitemap":33775},"/blog/the-trade-desk-connector","Simplify audience onboarding and activation with Narrative's The Trade Desk Connector","With Narrative and The Trade Desk, you can easily and quickly create addressable audiences and deliver them directly to The Trade Desk for advertiser activation. ","2022-10-27 13:41:52","/img/blog/2022/10/04-11.png",[610],{"type":17,"children":33592,"toc":33764},[33593,33599,33604,33609,33614,33619,33625,33630,33636,33641,33647,33652,33658,33663,33667,33672,33677,33683,33701,33707,33723,33728,33734,33739,33745,33750],{"type":20,"tag":1495,"props":33594,"children":33596},{"id":33595},"quickly-and-easily-onboard-and-deliver-audiences-to-the-trade-desk-for-advertiser-activation",[33597],{"type":25,"value":33598},"Quickly and easily onboard and deliver audiences to The Trade Desk for advertiser activation",{"type":20,"tag":21,"props":33600,"children":33601},{},[33602],{"type":25,"value":33603},"The Trade Desk is the world’s largest independent demand-side platform. Advertisers use The Trade Desk’s platform to run targeted, data-driven digital advertising campaigns across media channels. Data providers can supply additional information and insights to advertisers using The Trade Desk to enable them to fine-tune their targeting of potential customers.",{"type":20,"tag":21,"props":33605,"children":33606},{},[33607],{"type":25,"value":33608},"As brands continue to put more of their advertising budgets into programmatic advertising, demand for valuable and unique audience insights grows stronger. In the past, however, organizations who wanted to capitalize on this growing demand for their customer data had to invest in expensive infrastructure or hire teams of data engineers and developers to transform their raw first-party data into addressable audience segments and deliver it to advertisers for activation.",{"type":20,"tag":21,"props":33610,"children":33611},{},[33612],{"type":25,"value":33613},"Narrative simplifies and streamlines the entire process. With Narrative’s data collaboration platform and our new The Trade Desk Connector, organizations can slice and dice their first-party data into audience segments and deliver them directly to advertisers on The Trade Desk or make them available for purchase in The Trade Desk’s marketplace. By using this integration, you’ll cut out unnecessary and expensive extra steps, saving time and resources while your data generates a new stream of revenue.",{"type":20,"tag":21,"props":33615,"children":33616},{},[33617],{"type":25,"value":33618},"Furthermore, with the partnership between Narrative and The Trade Desk, matching your audience to UID2 identifiers and delivering your data to advertisers is now easier, faster, and more cost-effective than ever. The Trade Desk connector will enable data providers to sidestep pricey intermediaries and match audience segments automatically before delivery. Just use Narrative’s no-code tools to create custom audience segments for your buyers and our integration will automatically take care of matching your first-party data to UID2 identifiers before directly delivering your appended data to your buyers at The Trade Desk.",{"type":20,"tag":1495,"props":33620,"children":33622},{"id":33621},"seamless-delivery-to-the-trade-desk",[33623],{"type":25,"value":33624},"Seamless delivery to The Trade Desk",{"type":20,"tag":21,"props":33626,"children":33627},{},[33628],{"type":25,"value":33629},"The Trade Desk integration through Narrative is the most direct and least expensive avenue to distribute your audiences directly to advertisers on The Trade Desk. You won’t have to go through expensive intermediaries or hire teams of data specialists in order to onboard, format, or deliver your data. Your data is delivered directly to The Trade Desk without any extra hassle or costs.",{"type":20,"tag":1495,"props":33631,"children":33633},{"id":33632},"expand-your-reach",[33634],{"type":25,"value":33635},"Expand your reach",{"type":20,"tag":21,"props":33637,"children":33638},{},[33639],{"type":25,"value":33640},"The Trade Desk marketplace is a thriving data ecosystem that is rich with advertisers seeking relevant and actionable data. Make your custom audience segments available to current and potential new customers in The Trade Desk marketplace to boost sales and maximize revenue.",{"type":20,"tag":1495,"props":33642,"children":33644},{"id":33643},"cost-effective-onboarding-to-uid2",[33645],{"type":25,"value":33646},"Cost-effective onboarding to UID2",{"type":20,"tag":21,"props":33648,"children":33649},{},[33650],{"type":25,"value":33651},"Easily enrich offline data with Unified ID 2.0 identifiers without going outside your organization or paying licensing fees. You’ll cut out unnecessary middlemen, save money, and maintain complete autonomy over your data while protecting consumers’ personally identifiable information.",{"type":20,"tag":1495,"props":33653,"children":33655},{"id":33654},"no-code-audience-creation",[33656],{"type":25,"value":33657},"No-code audience creation",{"type":20,"tag":21,"props":33659,"children":33660},{},[33661],{"type":25,"value":33662},"Create audience segments that specifically benefit your buyers in the simplest and most straightforward way possible with Narrative’s no-code tools. Business users with little to no technical experience are able to point-and-click their way through a self-service process of uploading data, processing data, slicing data, pricing data, and delivering data to third party endpoints and marketplaces.",{"type":20,"tag":1495,"props":33664,"children":33665},{"id":5003},[33666],{"type":25,"value":7621},{"type":20,"tag":21,"props":33668,"children":33669},{},[33670],{"type":25,"value":33671},"Check out this interactive walkthrough to see just how easy it is to create and deliver audience segments to The Trade Desk:",{"type":20,"tag":21,"props":33673,"children":33674},{},[33675],{"type":25,"value":33676},"Or review the steps below.",{"type":20,"tag":5193,"props":33678,"children":33680},{"id":33679},"_1-upload-your-data-into-narratives-platform-using-dataset-manager",[33681],{"type":25,"value":33682},"1. Upload your data into Narrative’s platform using Dataset Manager",{"type":20,"tag":21,"props":33684,"children":33685},{},[33686,33688,33692,33694,33700],{"type":25,"value":33687},"You can find detailed instructions on how to upload your data ",{"type":20,"tag":44,"props":33689,"children":33690},{"href":633},[33691],{"type":25,"value":15832},{"type":25,"value":33693}," or watch our demo video ",{"type":20,"tag":44,"props":33695,"children":33698},{"href":33696,"rel":33697},"https://www.youtube.com/watch?v=F2_mKd0UCtI",[538],[33699],{"type":25,"value":15832},{"type":25,"value":191},{"type":20,"tag":5193,"props":33702,"children":33704},{"id":33703},"_2-slice-and-dice-your-data-into-meaningful-segments-using-seller-studio",[33705],{"type":25,"value":33706},"2. Slice and dice your data into meaningful segments using Seller Studio",{"type":20,"tag":21,"props":33708,"children":33709},{},[33710,33712,33717,33718],{"type":25,"value":33711},"Create a New Data Stream with Seller Studio and select the dataset that contains your relevant identifiers. At least one of the delivered columns must contain an ",{"type":20,"tag":33,"props":33713,"children":33714},{},[33715],{"type":25,"value":33716},"email, hashed email, phone number",{"type":25,"value":13353},{"type":20,"tag":33,"props":33719,"children":33720},{},[33721],{"type":25,"value":33722},"hashed phone number.",{"type":20,"tag":21,"props":33724,"children":33725},{},[33726],{"type":25,"value":33727},"Then, apply custom filters to organize your data into the precise audience segments you want.",{"type":20,"tag":5193,"props":33729,"children":33731},{"id":33730},"_3-select-the-trade-desk-as-a-channel-that-your-data-will-be-purchasable",[33732],{"type":25,"value":33733},"3. Select The Trade Desk as a channel that your data will be purchasable",{"type":20,"tag":21,"props":33735,"children":33736},{},[33737],{"type":25,"value":33738},"Enter the Partner IDs shared with you by your advertiser partners at The Trade Desk. Set the Revenue Share and CPM Cap, which represent the price that will be charged to buyers when they utilize this audience to purchase media within The TradeDesk.",{"type":20,"tag":5193,"props":33740,"children":33742},{"id":33741},"_4-review-and-activate-your-audience-segment",[33743],{"type":25,"value":33744},"4. Review and activate your audience segment",{"type":20,"tag":21,"props":33746,"children":33747},{},[33748],{"type":25,"value":33749},"Once you’ve completed all of these steps and clicked “Activate,” your data will automatically be matched to UID2 identifiers and delivered to The Trade Desk in 15 minutes or less.",{"type":20,"tag":21,"props":33751,"children":33752},{},[33753],{"type":20,"tag":33,"props":33754,"children":33755},{},[33756,33758,33763],{"type":25,"value":33757},"To learn more about how to use Narrative and The Trade Desk to monetize and activate your first-party data, ",{"type":20,"tag":44,"props":33759,"children":33760},{"href":180},[33761],{"type":25,"value":33762},"speak with our experts",{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":33765},[33766,33767,33768,33769,33770,33771],{"id":33595,"depth":193,"text":33598},{"id":33621,"depth":193,"text":33624},{"id":33632,"depth":193,"text":33635},{"id":33643,"depth":193,"text":33646},{"id":33654,"depth":193,"text":33657},{"id":5003,"depth":193,"text":7621},"content:blog:the-trade-desk-connector.md","blog/the-trade-desk-connector.md","blog/the-trade-desk-connector",{"loc":33585},{"_path":33777,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":33778,"description":33779,"publishDate":33780,"author":3094,"ogImage":33781,"image":33781,"tags":33782,"authorSlug":3099,"body":33784,"_type":195,"_id":33966,"_source":197,"_file":33967,"_stem":33968,"_extension":200,"sitemap":33969},"/blog/third-party-data-will-evolve","Third Party Data Won't Die, It Will Evolve","There is much discussion about the demise of 3rd party data. All third party data starts off as first-party data and the ecosystem won't die it will evolve","2019-03-07 18:41:00","/img/blog/2019/03/BLOG-030719_evolution-of-3rd-party-data.jpg",[4365,610,33783],"partnerships",{"type":17,"children":33785,"toc":33963},[33786,33792,33797,33802,33815,33820,33825,33830,33835,33840,33845,33850,33855,33860,33865,33871,33876,33881,33886,33891,33896,33901,33906,33912,33917,33922,33927,33937,33943,33948,33953,33958],{"type":20,"tag":223,"props":33787,"children":33789},{"id":33788},"sustainable-data-enrichment-strategies-need-to-focus-on-data-quality-compliance-and-transparency",[33790],{"type":25,"value":33791},"Sustainable data enrichment strategies need to focus on data quality, compliance, and transparency",{"type":20,"tag":21,"props":33793,"children":33794},{},[33795],{"type":25,"value":33796},"Suddenly it’s become very popular to say you’re going on a data fast.",{"type":20,"tag":21,"props":33798,"children":33799},{},[33800],{"type":25,"value":33801},"Indeed, recently there’s been a lot of chatter in the marketing universe that, much like the low tech, sales people-intensive ad networks of yesterday, third-party data has outlived its usefulness and is on its way out.",{"type":20,"tag":21,"props":33803,"children":33804},{},[33805,33807,33813],{"type":25,"value":33806},"Take the recent AdExchanger post “",{"type":20,"tag":44,"props":33808,"children":33810},{"href":25803,"rel":33809},[538],[33811],{"type":25,"value":33812},"Third-Party Data Is A Bad Habit We Need To Kick.",{"type":25,"value":33814},"” There are lots of folks saying that we all need to pull back on data we don’t own.",{"type":20,"tag":21,"props":33816,"children":33817},{},[33818],{"type":25,"value":33819},"We must respectfully disagree with this sentiment.",{"type":20,"tag":21,"props":33821,"children":33822},{},[33823],{"type":25,"value":33824},"The thing is, this isn’t the first we’ve been hearing about this idea. In a post GDPR world, where everybody wants to be a direct-to-consumer brand and first-party data is seen as pure gold, third-party data has gained a reputation as being unreliable and not worth the trouble.",{"type":20,"tag":21,"props":33826,"children":33827},{},[33828],{"type":25,"value":33829},"While we agree that the way that third-party data has been transacted to date has been deeply flawed, we actually think the opposite is true.",{"type":20,"tag":21,"props":33831,"children":33832},{},[33833],{"type":25,"value":33834},"In reality, third-party data is an untapped and undervalued resource. And its usage is about to explode.",{"type":20,"tag":21,"props":33836,"children":33837},{},[33838],{"type":25,"value":33839},"In 2019 many companies complain publicly that it feels like they are swimming in data, yet most data scientists and marketing scientists inside these firms will tell you they don’t nearly have enough. They just don’t have a great way of getting access to what they really need.",{"type":20,"tag":21,"props":33841,"children":33842},{},[33843],{"type":25,"value":33844},"Meanwhile, companies that produce valuable consumer data, data that could command high prices and deliver powerful results among the right sets of customers, don’t have an easy or efficient way to package it and license.",{"type":20,"tag":21,"props":33846,"children":33847},{},[33848],{"type":25,"value":33849},"What we are left with are third-party data sets that aren’t tailored to buyers, and thus are ineffective. We are utterly convinced this is all about to radically change.",{"type":20,"tag":21,"props":33851,"children":33852},{},[33853],{"type":25,"value":33854},"In Timmers’ post, she talks about how data companies often get individuals’ basic information wrong (like which gender a person is). That’s very true.",{"type":20,"tag":21,"props":33856,"children":33857},{},[33858],{"type":25,"value":33859},"She writes about how existing data segments fail to yield useful insights, and the models built from them are therefore flimsy. What you have instead is an “accumulation of unreliably interpreted signals.”",{"type":20,"tag":21,"props":33861,"children":33862},{},[33863],{"type":25,"value":33864},"That part we completely agree with, actually.",{"type":20,"tag":5193,"props":33866,"children":33868},{"id":33867},"data-quality-isnt-determined-by-its-source-its-determined-by-its-quality",[33869],{"type":25,"value":33870},"Data quality isn’t determined by its source, it’s determined by its quality",{"type":20,"tag":21,"props":33872,"children":33873},{},[33874],{"type":25,"value":33875},"The problem is that too many folks in the industry are thinking about how third-party data has worked historically, not what is and can be. They are throwing the baby out with the bath water.",{"type":20,"tag":21,"props":33877,"children":33878},{},[33879],{"type":25,"value":33880},"Yes, pre-packaged data segments are frequently useless, and we wouldn’t suggest anyone use data that provides no signal. Our challenge with the thesis is that the fact that the data comes from an external data source is not, in itself, why it doesn’t work.",{"type":20,"tag":21,"props":33882,"children":33883},{},[33884],{"type":25,"value":33885},"If the value of data is inherent in its ability to provide precise information—to market to prospective customers, serve existing ones, and so on—it won’t have any value if the information it encodes isn’t precise, as in the case of many third-party segments.",{"type":20,"tag":21,"props":33887,"children":33888},{},[33889],{"type":25,"value":33890},"It would seem that, by definition, third-party data won’t work if the logic is as follows: “Data only has value if it is accurate and specific. Third party data is often inaccurate and generic. Therefore third party data doesn’t have value.”",{"type":20,"tag":21,"props":33892,"children":33893},{},[33894],{"type":25,"value":33895},"What that logic misses is that data need not be pre-packaged and thus generic. Clearly, it can also be accurate. We would argue that the challenge with third-party data is in how it has been packaged and sold up to this point: By middlemen creating well-named, but often useless sets of users with no insight or incentive structure to make sure those users match the name and/or create any value.",{"type":20,"tag":21,"props":33897,"children":33898},{},[33899],{"type":25,"value":33900},"That’s a lot like buying ads on random ad networks in 2019.",{"type":20,"tag":21,"props":33902,"children":33903},{},[33904],{"type":25,"value":33905},"Instead, we think the business of buying and selling data is about to undergo the same kind of transformation that digital advertising did when it shifted from RFP buying and selling to using automated software.",{"type":20,"tag":5193,"props":33907,"children":33909},{"id":33908},"transparency-breeds-confidence",[33910],{"type":25,"value":33911},"Transparency breeds confidence",{"type":20,"tag":21,"props":33913,"children":33914},{},[33915],{"type":25,"value":33916},"There’s another reason that data transactions have been dissatisfying for many until recently. Besides not exactly being able to get the data that you wanted, buyers often didn’t even really have visibility into what data they were acquiring or where it came from.",{"type":20,"tag":21,"props":33918,"children":33919},{},[33920],{"type":25,"value":33921},"The more that data acquisition becomes associated with mystery, the less desirable it became for marketers. It’s just too risky.",{"type":20,"tag":21,"props":33923,"children":33924},{},[33925],{"type":25,"value":33926},"Technology is changing those conditions quickly. Buyers are now able to see what data they are acquiring before they make a decision on whether to acquire it. As data play such a crucial role in so many of an organization’s decisions, the more they are able to know about where it comes from, the more confident buyers will become in data’s power overall.",{"type":20,"tag":21,"props":33928,"children":33929},{},[33930,33935],{"type":20,"tag":44,"props":33931,"children":33933},{"href":7980,"rel":33932},[538],[33934],{"type":25,"value":20030},{"type":25,"value":33936}," also has downstream benefits beyond data quality. In a world where the regulatory environment around data has become more rigorous, transparency allows organizations to ensure GDPR compliance by shining a light on the source of the data, their consent frameworks, collection methodologies, and privacy policies.",{"type":20,"tag":5193,"props":33938,"children":33940},{"id":33939},"raw-data-is-goingprogrammatic",[33941],{"type":25,"value":33942},"Raw data is going programmatic",{"type":20,"tag":21,"props":33944,"children":33945},{},[33946],{"type":25,"value":33947},"Like programmatic advertising, you’ll be able to get your hands on the specific data you want, from dozens, hundreds, if not thousands of sources, whenever you need out.",{"type":20,"tag":21,"props":33949,"children":33950},{},[33951],{"type":25,"value":33952},"We’re already seeing it on our platform, where a new data economy is thriving as sellers unlock new revenues streams while companies can automatically complement their own data with highly relevant and useful third-party data.",{"type":20,"tag":21,"props":33954,"children":33955},{},[33956],{"type":25,"value":33957},"We think this is only going to accelerate. Again, if you ask the people inside companies who live and breath and touch data on a daily basis, none of them have enough. In the future, to be competitive, everyone is going to be in the business of buying or selling data.",{"type":20,"tag":21,"props":33959,"children":33960},{},[33961],{"type":25,"value":33962},"And the death of third-party data will be nothing but a myth.",{"title":8,"searchDepth":193,"depth":193,"links":33964},[33965],{"id":33788,"depth":380,"text":33791},"content:blog:third-party-data-will-evolve.md","blog/third-party-data-will-evolve.md","blog/third-party-data-will-evolve",{"loc":33777},{"_path":33971,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":33972,"description":33973,"publishDate":33974,"author":1436,"ogImage":33975,"image":33975,"tags":33976,"authorSlug":1437,"body":33978,"_type":195,"_id":34105,"_source":197,"_file":34106,"_stem":34107,"_extension":200,"sitemap":34108},"/blog/tiktok-connector","Activate Your First-Party Audiences on TikTok","Narrative's TikTok Connector lets you deliver first-party audiences directly to TikTok Ad Accounts for precise advertising targeting across one of the world's largest social platforms.","2026-01-21T09:00:00.000Z","/img/blog/2026/01/tiktok-connector-blog.png",[1262,21129,33977,4182],"advertising activation",{"type":17,"children":33979,"toc":34099},[33980,33985,33990,33994,33999,34004,34008,34013,34054,34058,34063,34068,34072,34077,34088],{"type":20,"tag":21,"props":33981,"children":33982},{},[33983],{"type":25,"value":33984},"If you are running advertising campaigns in 2026, TikTok is likely on your radar. With over a billion monthly active users and an audience that skews younger and more engaged than almost any other platform, it has become essential territory for brands looking to expand their reach. The challenge has been getting your first-party data into TikTok efficiently, without the manual work and fragmented processes that slow teams down.",{"type":20,"tag":21,"props":33986,"children":33987},{},[33988],{"type":25,"value":33989},"That changes today. Narrative's TikTok Connector is now available, giving you a direct path to deliver your audiences to TikTok Ad Accounts for advertising activation.",{"type":20,"tag":1495,"props":33991,"children":33992},{"id":4212},[33993],{"type":25,"value":21155},{"type":20,"tag":21,"props":33995,"children":33996},{},[33997],{"type":25,"value":33998},"Privacy regulations and the deprecation of third-party cookies have made first-party data the foundation of effective advertising. But having valuable audience data is only half the equation. You need to activate it where your customers actually spend their time.",{"type":20,"tag":21,"props":34000,"children":34001},{},[34002],{"type":25,"value":34003},"TikTok represents one of the most significant opportunities in digital advertising right now, especially for reaching Gen Z and millennial audiences. The brands that can move quickly to activate their first-party data on TikTok gain a meaningful advantage over competitors still relying on outdated targeting approaches.",{"type":20,"tag":1495,"props":34005,"children":34006},{"id":21178},[34007],{"type":25,"value":21181},{"type":20,"tag":21,"props":34009,"children":34010},{},[34011],{"type":25,"value":34012},"The TikTok Connector enables you to take audiences you have built in Narrative and deliver them directly to your TikTok Ad Accounts within your Business Center. Here is what that unlocks:",{"type":20,"tag":903,"props":34014,"children":34015},{},[34016,34026,34036,34045],{"type":20,"tag":907,"props":34017,"children":34018},{},[34019,34024],{"type":20,"tag":33,"props":34020,"children":34021},{},[34022],{"type":25,"value":34023},"Reach new audiences at scale.",{"type":25,"value":34025}," Activate your first-party data on a platform with over a billion users, many of whom are difficult to reach through traditional channels.",{"type":20,"tag":907,"props":34027,"children":34028},{},[34029,34034],{"type":20,"tag":33,"props":34030,"children":34031},{},[34032],{"type":25,"value":34033},"Maintain control over your data.",{"type":25,"value":34035}," You choose which audiences go where. Create new Custom Audiences in TikTok or update existing ones. Distribute across multiple Ad Accounts simultaneously when needed.",{"type":20,"tag":907,"props":34037,"children":34038},{},[34039,34043],{"type":20,"tag":33,"props":34040,"children":34041},{},[34042],{"type":25,"value":25563},{"type":25,"value":34044}," No downloading files, reformatting data, or uploading to TikTok manually. The connector handles delivery automatically.",{"type":20,"tag":907,"props":34046,"children":34047},{},[34048,34052],{"type":20,"tag":33,"props":34049,"children":34050},{},[34051],{"type":25,"value":25573},{"type":25,"value":34053}," Rosetta Stone handles identifier mapping and normalization, so your emails, phone numbers, and mobile advertising IDs arrive in the format TikTok expects.",{"type":20,"tag":1495,"props":34055,"children":34056},{"id":11727},[34057],{"type":25,"value":11730},{"type":20,"tag":21,"props":34059,"children":34060},{},[34061],{"type":25,"value":34062},"This release is part of Narrative's broader mission to make your data work wherever you need it. The TikTok Connector joins our existing integrations with Meta, Yahoo DSP, The Trade Desk, and others, giving you a single platform to manage audience activation across the advertising ecosystem.",{"type":20,"tag":21,"props":34064,"children":34065},{},[34066],{"type":25,"value":34067},"As channels multiply and audience expectations rise, the organizations that win are the ones that can move their data quickly, cleanly, and securely to the platforms where it creates value. That is what we are building toward.",{"type":20,"tag":1495,"props":34069,"children":34070},{"id":21256},[34071],{"type":25,"value":21259},{"type":20,"tag":21,"props":34073,"children":34074},{},[34075],{"type":25,"value":34076},"The TikTok Connector is available now in Audience Studio and in the Connections tab under My Data. If you are already using Narrative, you can install the connector from the App Marketplace and start delivering audiences today.",{"type":20,"tag":21,"props":34078,"children":34079},{},[34080,34081,34087],{"type":25,"value":21269},{"type":20,"tag":44,"props":34082,"children":34084},{"href":34083},"/knowledge-base/how-to-guides/connectors/tiktok-connector/",[34085],{"type":25,"value":34086},"TikTok Connector documentation",{"type":25,"value":191},{"type":20,"tag":21,"props":34089,"children":34090},{},[34091,34093,34098],{"type":25,"value":34092},"Ready to put your first-party data to work on TikTok? ",{"type":20,"tag":44,"props":34094,"children":34096},{"href":34095},"/contact/book-a-demo",[34097],{"type":25,"value":21289},{"type":25,"value":25632},{"title":8,"searchDepth":193,"depth":193,"links":34100},[34101,34102,34103,34104],{"id":4212,"depth":193,"text":21155},{"id":21178,"depth":193,"text":21181},{"id":11727,"depth":193,"text":11730},{"id":21256,"depth":193,"text":21259},"content:blog:tiktok-connector.md","blog/tiktok-connector.md","blog/tiktok-connector",{"loc":33971},{"_path":34110,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":34111,"description":34112,"publishDate":34113,"author":34114,"ogImage":34115,"image":34115,"tags":34116,"authorSlug":3099,"body":34117,"_type":195,"_id":34313,"_source":197,"_file":34314,"_stem":34315,"_extension":200,"sitemap":34316},"/blog/touchless-pii-hasher","Convert email addresses into privacy-safe identifiers with Touchless PII Hasher","Narrative’s Touchless PII Hasher lets you quickly and securely transform email addresses into privacy-compliant, sharable identifiers.","2020-11-17 14:53:17","Seth Shapiro","/img/blog/2020/11/touchless-pii-hasher.png",[],{"type":17,"children":34118,"toc":34308},[34119,34125,34130,34135,34140,34145,34159,34164,34170,34175,34180,34185,34190,34196,34201,34206,34211,34216,34228,34233,34238,34256,34261,34273,34279,34289],{"type":20,"tag":5193,"props":34120,"children":34122},{"id":34121},"narratives-touchless-pii-hasher-lets-you-quickly-and-securely-transform-email-addresses-into-privacy-compliant-sharable-identifiers",[34123],{"type":25,"value":34124},"Narrative’s Touchless PII Hasher lets you quickly and securely transform email addresses into privacy-compliant, sharable identifiers",{"type":20,"tag":21,"props":34126,"children":34127},{},[34128],{"type":25,"value":34129},"Email addresses have become the gold standard for how organizations share customer data. They’re ubiquitous, persistent, and promise to be around for a long time. But they’re also considered personally identifiable information (PII), which means they need to stay private and secure.",{"type":20,"tag":21,"props":34131,"children":34132},{},[34133],{"type":25,"value":34134},"This seems to be a paradox for data-driven organizations, but it can be solved by email hashing.",{"type":20,"tag":21,"props":34136,"children":34137},{},[34138],{"type":25,"value":34139},"Hashing email addresses—converting emails into indecipherable but deterministic hexadecimal strings—lets marketers and analysts identify customers across channels without compromising privacy. It’s an essential first step in monetizing or acquiring data.",{"type":20,"tag":21,"props":34141,"children":34142},{},[34143],{"type":25,"value":34144},"But hashing email addresses isn’t easy. If you don’t know how to write code or process large datasets, your only option has been to find an engineer that does. 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This made it hard for some organizations to take advantage of opportunities on the ",{"type":20,"tag":44,"props":34222,"children":34225},{"href":34223,"rel":34224},"https://app.narrative.io/#/products",[538],[34226],{"type":25,"value":5989},{"type":25,"value":191},{"type":20,"tag":21,"props":34229,"children":34230},{},[34231],{"type":25,"value":34232},"But now, buyers and sellers can use the Touchless PII Hasher to process millions of emails in seconds, no matter the size. It can also “clean” and pre-format your list of emails prior to hashing in accordance with industry standards, to ensure that your hashed emails will be compatible with other data in the ecosystem. With just a few clicks, a CSV file of hashed emails is created and ready to use immediately.",{"type":20,"tag":21,"props":34234,"children":34235},{},[34236],{"type":25,"value":34237},"Here's how it works:",{"type":20,"tag":2051,"props":34239,"children":34240},{},[34241,34246,34251],{"type":20,"tag":907,"props":34242,"children":34243},{},[34244],{"type":25,"value":34245},"Select which hashing function(s) you'd like to use to hash your emails: MD5, SHA-1, and/or SHA-256.",{"type":20,"tag":907,"props":34247,"children":34248},{},[34249],{"type":25,"value":34250},"Upload your list of emails as a CSV or TXT file.",{"type":20,"tag":907,"props":34252,"children":34253},{},[34254],{"type":25,"value":34255},"Click “Generate Hash.”",{"type":20,"tag":21,"props":34257,"children":34258},{},[34259],{"type":25,"value":34260},"And voila! 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GDPR, CCPA, Apple ITP, Google ITP, etc, plus the list of incumbent aging ",{"type":20,"tag":44,"props":34337,"children":34338},{"href":19387},[34339],{"type":25,"value":34340},"identity solutions",{"type":25,"value":34342}," with less transparency & inability to assess data quality of providers are making it hard for businesses to efficiently create a successful data strategy.",{"type":20,"tag":5193,"props":34344,"children":34346},{"id":34345},"what-this-means-for-your-brand-the-tldr",[34347],{"type":25,"value":34348},"What this means for your brand, the TL;DR",{"type":20,"tag":21,"props":34350,"children":34351},{},[34352],{"type":25,"value":34353},"Harness better accuracy from sources that understand their linkages in a first party context and build data assets that allow your brand to enable the same capabilities as the walled gardens.",{"type":20,"tag":21,"props":34355,"children":34356},{},[34357],{"type":25,"value":34358},"Let data flow to your brand, not away from it as had been the industry shortcoming.",{"type":20,"tag":21,"props":34360,"children":34361},{},[34362],{"type":25,"value":34363},"Accelerate the speed with which you can activate your data in a controlled environment and engage with partners and the ecosystem.",{"type":20,"tag":21,"props":34365,"children":34366},{},[34367],{"type":25,"value":34368},"The LiveIntent platform business, made up of over 2,500 brand and publisher clients and reaching 250 million verified people monthly, constitutes one of the world’s largest identity graphs.",{"type":20,"tag":21,"props":34370,"children":34371},{},[34372],{"type":25,"value":34373},"LiveIntent’s onboarding service, which launched April 1, is a natural outgrowth of its platform business but is a separate entity. 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It also levels the playing field for publishers and brands while weaning the industry off of the one-size-fits-all solutions from the entrenched, dominant players in the space.",{"type":20,"tag":21,"props":34391,"children":34392},{},[34393],{"type":25,"value":34394},"“At Narrative, our mission has always been to help companies operationalize their data strategies as efficiently as possible, without giving up strategic control,” said Founder and CEO of Narrative Nick Jordan. “Few companies, if any, have LiveIntent’s ability to deliver an onboarding service of this magnitude. Their entry into onboarding immediately changes the market. Narrative will manage the data processing & permissioning and navigate a complex network of delivery endpoints so that LiveIntent can maximize its customers’ opportunities to leverage data for new forms of value creation. 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This mechanism is key for:",{"type":20,"tag":903,"props":35343,"children":35344},{},[35345,35355,35365],{"type":20,"tag":907,"props":35346,"children":35347},{},[35348,35353],{"type":20,"tag":33,"props":35349,"children":35350},{},[35351],{"type":25,"value":35352},"Navigating Data Changes Seamlessly:",{"type":25,"value":35354}," Snapshots capture the state of a dataset at a particular moment, offering a clear view of its evolution over time.",{"type":20,"tag":907,"props":35356,"children":35357},{},[35358,35363],{"type":20,"tag":33,"props":35359,"children":35360},{},[35361],{"type":25,"value":35362},"Optimizing Data Operations:",{"type":25,"value":35364}," Snapshots improve query efficiency by maintaining metadata on partition statistics and file counts, reducing access times.",{"type":20,"tag":907,"props":35366,"children":35367},{},[35368,35373],{"type":20,"tag":33,"props":35369,"children":35370},{},[35371],{"type":25,"value":35372},"Efficient Dataset Retention Policies:",{"type":25,"value":35374}," Snapshots enable precise data expiration and insights into data volume changes, helping control storage costs and eliminate outdated information.",{"type":20,"tag":1495,"props":35376,"children":35378},{"id":35377},"in-conclusion",[35379],{"type":20,"tag":33,"props":35380,"children":35381},{},[35382],{"type":25,"value":35383},"In Conclusion",{"type":20,"tag":21,"props":35385,"children":35386},{},[35387],{"type":25,"value":35388},"Narrative's Data Collaboration Platform, powered by the synergy between the Control Plane and Data Plane and enhanced by snapshot technology, offers businesses an unparalleled tool for data management. Whether streamlining governance, ensuring data security, or optimizing data operations, our platform is ready to propel your data collaboration efforts to new heights.",{"type":20,"tag":21,"props":35390,"children":35391},{},[35392],{"type":25,"value":35393},"Dive deeper into our platform's capabilities and discover how Narrative's commitment to innovation can help you navigate the complexities of today's data landscapes. With our advanced data collaboration solutions, you have the power to manage and leverage data effectively.",{"title":8,"searchDepth":193,"depth":193,"links":35395},[35396,35397,35398,35399],{"id":35197,"depth":193,"text":35203},{"id":35269,"depth":193,"text":35275},{"id":35330,"depth":193,"text":35336},{"id":35377,"depth":193,"text":35383},"content:blog:understanding-data-planes.md","blog/understanding-data-planes.md","blog/understanding-data-planes",{"loc":35181},{"_path":19487,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":35405,"description":35406,"publishDate":35407,"author":7560,"ogImage":35408,"image":35408,"tags":35409,"body":35410,"_type":195,"_id":35622,"_source":197,"_file":35623,"_stem":35624,"_extension":200,"sitemap":35625},"Match your CRM data to digital identifiers in minutes with Universal Onboarding","Universal Onboarding brings a simple, intuitive UI to data onboarding, enabling anyone to activate offline, first-party data in real time.","2021-01-21 13:45:00","/img/blog/2021/01/universal-onboarding.png",[],{"type":17,"children":35411,"toc":35614},[35412,35418,35423,35439,35460,35466,35471,35476,35484,35490,35495,35500,35506,35511,35516,35521,35526,35534,35540,35545,35550,35556,35561,35566,35571,35576,35604],{"type":20,"tag":223,"props":35413,"children":35415},{"id":35414},"universal-onboarding-brings-a-simple-intuitive-ui-to-data-onboarding-enabling-anyone-to-activate-offline-first-party-data-in-real-time",[35416],{"type":25,"value":35417},"Universal Onboarding brings a simple, intuitive UI to data onboarding, enabling anyone to activate offline, first-party data in real time",{"type":20,"tag":21,"props":35419,"children":35420},{},[35421],{"type":25,"value":35422},"Customers move fast, and marketers need an onboarding solution that allows them to keep up in real time. But the current process for onboarding data is arduous, opaque, and expensive. It’s highly manual and takes weeks to execute, often bottlenecked by the handful of large vendors that offer the service. What’s more, using these vendors traps you in their ecosystem: your data is tied to a proprietary identifier, requiring you to pay for each activation.",{"type":20,"tag":21,"props":35424,"children":35425},{},[35426,35427,35437],{"type":25,"value":12134},{"type":20,"tag":44,"props":35428,"children":35431},{"href":35429,"rel":35430},"https://app.narrative.io/app/universal-onboarding",[538],[35432],{"type":20,"tag":33,"props":35433,"children":35434},{},[35435],{"type":25,"value":35436},"Universal Onboarding",{"type":25,"value":35438},", we’ve created a fully self-service solution for data onboarding, allowing users to match offline customer data to digital identifiers in minutes, without the need for technical expertise or upfront commitments. The app provides an alternative to traditional onboarding services characterized by a lack of visibility or control over data sources, slow turnaround times, and inflexible pricing models.",{"type":20,"tag":7566,"props":35440,"children":35441},{},[35442],{"type":20,"tag":21,"props":35443,"children":35444},{},[35445,35447,35450,35455,35458],{"type":25,"value":35446},"Narrative’s new Universal Onboarding product is great news for the market. The simple and easy to use capability to take offline data assets, such as CRM data and emails, and generate addressable identifiers in a matter of minutes without needing to talk to anyone, is exactly what we were looking for.”",{"type":20,"tag":2006,"props":35448,"children":35449},{},[],{"type":20,"tag":33,"props":35451,"children":35452},{},[35453],{"type":25,"value":35454},"Senthil Govindan",{"type":20,"tag":2006,"props":35456,"children":35457},{},[],{"type":25,"value":35459},"\nCEO, Datawrkz",{"type":20,"tag":1495,"props":35461,"children":35463},{"id":35462},"onboard-data-without-engineers",[35464],{"type":25,"value":35465},"Onboard data without engineers",{"type":20,"tag":21,"props":35467,"children":35468},{},[35469],{"type":25,"value":35470},"We obsess over removing the bottlenecks and roadblocks that slow down data transactions. And the traditional onboarding process is chock full of them: You’ve got to download your CRM data, run it through a hashing algorithm to anonymize the information, set up an FTP between you and your onboarding provider, and then wait up to 2 weeks to receive the matches and activate your data.",{"type":20,"tag":21,"props":35472,"children":35473},{},[35474],{"type":25,"value":35475},"We built Universal Onboarding as a simple self-service workflow so that anyone in the company can onboard data in five simple steps, without needing to get an engineering team involved. Once you upload a list of email addresses, the app will automatically and securely anonymize your private customer data via a hashing process before the data leaves your computer, match the hashed data to online identifiers, and deliver your matches without the need for FTP or any coding at all.",{"type":20,"tag":21,"props":35477,"children":35478},{},[35479],{"type":20,"tag":1630,"props":35480,"children":35483},{"alt":35481,"src":35482},"Universal Onboarding workflow","https://solutions.narrative.io/hubfs/Blog/universal-onboarding-workflow.gif",[],{"type":20,"tag":1495,"props":35485,"children":35487},{"id":35486},"get-matches-in-minutes",[35488],{"type":25,"value":35489},"Get matches in minutes",{"type":20,"tag":21,"props":35491,"children":35492},{},[35493],{"type":25,"value":35494},"You can get physical products delivered to your door in days. Why should it take even longer than that to deliver data?",{"type":20,"tag":21,"props":35496,"children":35497},{},[35498],{"type":25,"value":35499},"Traditional data onboarding typically takes weeks to deliver results. We think that’s unacceptable. With Universal Onboarding, your data is matched to digital identifiers from our graph – a pool of 1.6 billion IDs – in a minute or less, with results delivered in one hour.",{"type":20,"tag":1495,"props":35501,"children":35503},{"id":35502},"set-a-budget-that-works-for-you",[35504],{"type":25,"value":35505},"Set a budget that works for you",{"type":20,"tag":21,"props":35507,"children":35508},{},[35509],{"type":25,"value":35510},"At Narrative, we’re committed to removing the barriers to entry that prevent people from getting started with data. And when it comes to data onboarding, cost has often been a huge barrier preventing smaller brands and companies from getting the most out of their first-party data.",{"type":20,"tag":21,"props":35512,"children":35513},{},[35514],{"type":25,"value":35515},"With Universal Onboarding, you can start onboarding with a budget that works for you. There are no long-term commitments or hefty minimum spend requirements.",{"type":20,"tag":21,"props":35517,"children":35518},{},[35519],{"type":25,"value":35520},"Other onboarding services charge you for the volume of data you upload, whether you get matches or not. We only charge you for the matched identifiers, and only as much as you want to pay.",{"type":20,"tag":21,"props":35522,"children":35523},{},[35524],{"type":25,"value":35525},"For as little as $100, you can get access to a list of matched identifiers to use as you see fit for the next 30 days. That means you can activate the matches in as many places as you’d like for no extra cost. Again: You pay only for the matches, not the activations.",{"type":20,"tag":21,"props":35527,"children":35528},{},[35529],{"type":20,"tag":1630,"props":35530,"children":35533},{"alt":35531,"src":35532},"universal-onboarding-budget","https://solutions.narrative.io/hubfs/Blog/universal-onboarding-budget.png",[],{"type":20,"tag":1495,"props":35535,"children":35537},{"id":35536},"build-a-custom-onboarding-solution",[35538],{"type":25,"value":35539},"Build a custom onboarding solution",{"type":20,"tag":21,"props":35541,"children":35542},{},[35543],{"type":25,"value":35544},"Universal Onboarding is also available as an API, allowing you to build, customize, and brand a data onboarding product for your customers directly onto your platform, powered by Narrative's data collaboration platform and supplier network.",{"type":20,"tag":21,"props":35546,"children":35547},{},[35548],{"type":25,"value":35549},"Using Narrative's Universal Onboarding APIs, a customer can implement an onboarding solution built on their hand-picked data providers, and with transparent pricing rates negotiated with each provider rather than imposed by a traditional onboarding service. As a truly automated solution, matched data is forecasted in minutes and delivered in as little as one hour, providing actionable insights to customers in hours instead of days.",{"type":20,"tag":1495,"props":35551,"children":35553},{"id":35552},"break-out-of-the-liveramp-box",[35554],{"type":25,"value":35555},"Break out of the LiveRamp box",{"type":20,"tag":21,"props":35557,"children":35558},{},[35559],{"type":25,"value":35560},"We won’t beat around the bush here: Data onboarding is a space that has long been dominated by LiveRamp, but we believe their long term position of strength has led to them squeezing their own customers while failing to innovate their product offering.",{"type":20,"tag":21,"props":35562,"children":35563},{},[35564],{"type":25,"value":35565},"We listened to our customers and noted what their biggest pain points were regarding the current solutions available in the market. We then set out to develop a product that solved for these pain points, creating a data onboarding solution that is fast, easy to use, and puts the customer back in control.",{"type":20,"tag":21,"props":35567,"children":35568},{},[35569],{"type":25,"value":35570},"\"We rejected existing onboarding offerings as they stand,\" says Tina Zhuo, Product Manager at Narrative. \"Instead we designed and built an entirely new way to onboard: a beautiful, intuitive app for anyone to do their own onboarding. And now that we've built it, we can't believe that anyone would go back to what the industry has had to put up with for so long.\"",{"type":20,"tag":21,"props":35572,"children":35573},{},[35574],{"type":25,"value":35575},"Narrative's philosophy is that what is good for our customers is good for us. 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If you’d like to learn more about how Universal Onboarding works, ",{"type":20,"tag":44,"props":35589,"children":35592},{"href":35590,"rel":35591},"https://kb.narrative.io/universal-onboarding",[538],[35593],{"type":25,"value":34300},{"type":25,"value":13353},{"type":20,"tag":44,"props":35596,"children":35597},{"href":180},[35598],{"type":25,"value":34306},{"type":25,"value":191},{"type":20,"tag":2006,"props":35601,"children":35602},{},[],{"type":25,"value":3510},{"type":20,"tag":21,"props":35605,"children":35606},{},[35607],{"type":20,"tag":33,"props":35608,"children":35609},{},[35610],{"type":20,"tag":20150,"props":35611,"children":35613},{"value":35612},"cta('a24e8ba5-deec-44ff-a3e2-73d480f5ec8f')",[],{"title":8,"searchDepth":193,"depth":193,"links":35615},[35616,35617,35618,35619,35620,35621],{"id":35414,"depth":380,"text":35417},{"id":35462,"depth":193,"text":35465},{"id":35486,"depth":193,"text":35489},{"id":35502,"depth":193,"text":35505},{"id":35536,"depth":193,"text":35539},{"id":35552,"depth":193,"text":35555},"content:blog:universal-onboarding.md","blog/universal-onboarding.md","blog/universal-onboarding",{"loc":19487},{"_path":35627,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":35628,"description":35629,"publishDate":35630,"author":1927,"ogImage":35631,"image":35631,"tags":35632,"authorSlug":1932,"body":35633,"_type":195,"_id":35749,"_source":197,"_file":35750,"_stem":35751,"_extension":200,"sitemap":35752},"/blog/unlocking-data-collaboration-with-narrative-anywhere","Unlocking Powerful, Secure Data Collaboration with Narrative Anywhere","No need to move your data. With 'Narrative Anywhere,' our powerful data collaboration technology can be used seamlessly and securely across any environment.","2024-06-11 09:31:10","/img/blog/2024/06/narrative-anywhere.png",[1262,3097,6614],{"type":17,"children":35634,"toc":35741},[35635,35640,35646,35651,35657,35662,35668,35673,35681,35703,35709,35714,35720,35725,35731,35736],{"type":20,"tag":21,"props":35636,"children":35637},{},[35638],{"type":25,"value":35639},"The need for strategic flexibility makes efficient collaboration across different data environments more critical than ever for organizations. Narrative has been a pioneer in AI-guided data collaboration, and today we're excited to announce the launch of 'Narrative Anywhere'—a groundbreaking technology designed to operate wherever your data resides. This innovative solution eliminates the need to move data, ensuring enhanced security and efficiency.",{"type":20,"tag":223,"props":35641,"children":35643},{"id":35642},"enhancing-data-security-and-efficiency",[35644],{"type":25,"value":35645},"Enhancing Data Security and Efficiency",{"type":20,"tag":21,"props":35647,"children":35648},{},[35649],{"type":25,"value":35650},"One of the standout features of 'Narrative Anywhere' is its ability to enhance data security and efficiency. By operating within existing data environments—like the Snowflake Data Cloud, our first supported data plane—'Narrative Anywhere' reduces the need for data movement, thereby minimizing potential security risks. This setup allows businesses to maintain the highest standards of data privacy and compliance while speeding up their data operations.",{"type":20,"tag":223,"props":35652,"children":35654},{"id":35653},"transforming-data-collaboration-with-ai",[35655],{"type":25,"value":35656},"Transforming Data Collaboration with AI",{"type":20,"tag":21,"props":35658,"children":35659},{},[35660],{"type":25,"value":35661},"At the heart of 'Narrative Anywhere' is Narrative's AI-powered 'Rosetta Stone' technology and NQL (Narrative Query Language). These tools revolutionize data collaboration by automatically translating disparate data schemas at runtime across multiple parties or within multiple datasets in a single company account. This process, which was traditionally manual and cumbersome, is now streamlined into an AI-guided experience. The result is a massive virtual table that spans numerous datasets without the need for physical data movement or joining.",{"type":20,"tag":223,"props":35663,"children":35665},{"id":35664},"launching-ai-models-in-any-data-plane",[35666],{"type":25,"value":35667},"Launching AI Models in Any Data Plane",{"type":20,"tag":21,"props":35669,"children":35670},{},[35671],{"type":25,"value":35672},"A significant enhancement of 'Narrative Anywhere' is the ability to launch AI models within different data planes. Customers can now host Narrative’s AI models within their own infrastructure, ensuring all data storage and processing occur within their self-hosted environment, whether it’s a Snowflake account, AWS account, or other supported platforms. Narrative delivers containers that bundle its models with API services for easy deployment and use. 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This no-code query engine, equipped with a built-in AI chatbot called Rosetta AI, simplifies the creation and iteration of complex queries at scale. Data Studio automates the ingestion and matching/joining to customer data, making it a powerful tool for users to interact with their data effortlessly. Importantly, Data Studio works regardless of the data plane you're using, allowing users to learn one UI for all data planes, thus simplifying the overall user experience.",{"type":20,"tag":223,"props":35715,"children":35717},{"id":35716},"seamless-integration-with-connector-framework",[35718],{"type":25,"value":35719},"Seamless Integration with Connector Framework",{"type":20,"tag":21,"props":35721,"children":35722},{},[35723],{"type":25,"value":35724},"Narrative's Connector Framework allows for seamless data delivery to various endpoints, including activation platforms such as The Trade Desk, Google, and Meta, as well as cloud providers. The Connector Framework can move data from specific data planes to endpoints like 1P or 3P activation endpoints or other data planes, facilitating a smooth and efficient data flow. Specifically for The Trade Desk connector, it offers AI-guided taxonomy creation and management tools, enabling businesses to leverage powerful, competitive, and custom audience identity and enrichment tools with minimal manual effort.",{"type":20,"tag":223,"props":35726,"children":35728},{"id":35727},"a-new-era-of-data-collaboration",[35729],{"type":25,"value":35730},"A New Era of Data Collaboration",{"type":20,"tag":21,"props":35732,"children":35733},{},[35734],{"type":25,"value":35735},"The introduction of 'Narrative Anywhere' marks a significant advancement in the field of data collaboration. It offers industries a comprehensive, secure, and effective set of tools to unlock the full potential of their data. Whether you are operating within the Snowflake Data Cloud or any other data environment, 'Narrative Anywhere' ensures that you can collaborate seamlessly and efficiently.",{"type":20,"tag":21,"props":35737,"children":35738},{},[35739],{"type":25,"value":35740},"As we move forward, the ability to utilize data smartly and securely becomes paramount. 'Narrative Anywhere' embodies this vision, providing businesses with the tools they need to thrive in a data-centric world. By enabling smarter data usage while respecting privacy and compliance, Narrative I/O is paving the way for a new era of data collaboration.",{"title":8,"searchDepth":193,"depth":193,"links":35742},[35743,35744,35745,35746,35747,35748],{"id":35642,"depth":380,"text":35645},{"id":35653,"depth":380,"text":35656},{"id":35664,"depth":380,"text":35667},{"id":35705,"depth":380,"text":35708},{"id":35716,"depth":380,"text":35719},{"id":35727,"depth":380,"text":35730},"content:blog:unlocking-data-collaboration-with-narrative-anywhere.md","blog/unlocking-data-collaboration-with-narrative-anywhere.md","blog/unlocking-data-collaboration-with-narrative-anywhere",{"loc":35627},{"_path":21785,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":35754,"description":35755,"publishDate":35756,"author":35757,"ogImage":35758,"image":35758,"tags":35759,"body":35760,"_type":195,"_id":36014,"_source":197,"_file":36015,"_stem":36016,"_extension":200,"sitemap":36017},"Gather Mobile App Competitive Intelligence Data with Narrative Acquire","Improve the efficacy of conquesting campaigns with competitive intelligence data from Narrative.","2019-04-04 17:52:00","Matthew Tornatore","/img/blog/2019/04/acquire-blog-image-%281%29.jpg",[4365],{"type":17,"children":35761,"toc":36006},[35762,35774,35779,35785,35790,35795,35803,35809,35814,35822,35827,35835,35840,35846,35851,35856,35864,35870,35875,35880,35903,35908,35913,35921,35926,35934,35939,35947,35953,35958,35963,35968,35974,35979,35984,35989],{"type":20,"tag":21,"props":35763,"children":35764},{},[35765,35767,35773],{"type":25,"value":35766},"The mobile app ecosystem is crowded and everyone is looking for an edge. Mobile marketing campaigns rely heavily on customer data, but that data all originates from within, meaning its insufficient to ",{"type":20,"tag":44,"props":35768,"children":35770},{"href":5487,"rel":35769},[538],[35771],{"type":25,"value":35772},"understand the competitive landscape",{"type":25,"value":191},{"type":20,"tag":21,"props":35775,"children":35776},{},[35777],{"type":25,"value":35778},"Below we will walk you through an example of how you could use Narrative to better understand the behavior of your users, specific to their engagement with your competitive set. We’ll walk you through how you would push your current users to us, define your competitors, understand the overlap between your users and your competitors, access the data to perform more robust analytics, and ultimately suggest some ways you might leverage the insight derived from the whole process.",{"type":20,"tag":223,"props":35780,"children":35782},{"id":35781},"defining-users-to-match",[35783],{"type":25,"value":35784},"Defining Users to Match",{"type":20,"tag":21,"props":35786,"children":35787},{},[35788],{"type":25,"value":35789},"The first step assumes that you want to understand the behavior of your existing customers vis-a-vis your competitors. There are a few ways you can send us your existing users – we’re integrated with CDPs, DMPs, and CRMs – including uploading them directly in our user interface.",{"type":20,"tag":21,"props":35791,"children":35792},{},[35793],{"type":25,"value":35794},"If you’ve ever uploaded a custom audience in Facebook (hint: you can reuse that same file) this process will look familiar. In its simplest form it is creating the name for the user segment you are sending over and then uploading a file that represents that list (keys that work include mobile ad identifiers like IDFAs and ADIDs as well as hashed e-mail addresses)",{"type":20,"tag":21,"props":35796,"children":35797},{},[35798],{"type":20,"tag":1630,"props":35799,"children":35802},{"alt":35800,"src":35801},"how to 1","https://images.ctfassets.net/kelnhsdbpwjk/43YhJusVqeSB65qx1NsWiE/4f329c38058253b7b14465700cf1c403/how_to_1.png",[],{"type":20,"tag":223,"props":35804,"children":35806},{"id":35805},"selecting-your-competitive-apps",[35807],{"type":25,"value":35808},"Selecting Your Competitive Apps",{"type":20,"tag":21,"props":35810,"children":35811},{},[35812],{"type":25,"value":35813},"Next, you need to define your competitive set. We’re going to assume, for the purposes of this walkthrough, that you know who your competitors are. You just need to log into Narrative and drop them into this handy form.",{"type":20,"tag":21,"props":35815,"children":35816},{},[35817],{"type":20,"tag":1630,"props":35818,"children":35821},{"alt":35819,"src":35820},"how to 2","https://images.ctfassets.net/kelnhsdbpwjk/8fYANdj3c3CcjyrcbgdEK/1bcf6ea7619c002f39c871e040dc0249/how_to_2.png",[],{"type":20,"tag":21,"props":35823,"children":35824},{},[35825],{"type":25,"value":35826},"As part of this process, you’re already starting to get some feedback and information that might be useful. As you add apps, the interface updates in real time with a forecast of how many of your users have each of those apps. While it is important to note that this number doesn’t represent the entire universe of users it will give you a directional data point as to the scale of your users using these other apps.",{"type":20,"tag":21,"props":35828,"children":35829},{},[35830],{"type":20,"tag":1630,"props":35831,"children":35834},{"alt":35832,"src":35833},"how to 3","https://images.ctfassets.net/kelnhsdbpwjk/4fB0uzQVFFbzL5i2ys7NzT/2ce552253009ef4fc0c70f4c245cb8cd/how_to_3.png",[],{"type":20,"tag":21,"props":35836,"children":35837},{},[35838],{"type":25,"value":35839},"We’ll now take this information and use it to filter down the nearly 250 billion records we see each month to match to both the users you have sent to us as well as those that are interacting with your competitors.",{"type":20,"tag":223,"props":35841,"children":35843},{"id":35842},"receive-the-data",[35844],{"type":25,"value":35845},"Receive the Data",{"type":20,"tag":21,"props":35847,"children":35848},{},[35849],{"type":25,"value":35850},"You’ve defined your users, your competitors, and we’ve found the data for you. From here, once the data has been purchased, we’ll push the data back to you so you can begin your analysis. The records you are getting back consist of raw data, which allows you to do precise analysis and not just high-level summaries.",{"type":20,"tag":21,"props":35852,"children":35853},{},[35854],{"type":25,"value":35855},"As with the first step, we are integrated with many customer platforms and often the easiest way to access the data is in one of those platforms. Think of this process as doing data enrichment or a data append, so you can use this information in the systems you’re already comfortable with.",{"type":20,"tag":21,"props":35857,"children":35858},{},[35859],{"type":20,"tag":1630,"props":35860,"children":35863},{"alt":35861,"src":35862},"how to 4","https://images.ctfassets.net/kelnhsdbpwjk/3ViMpiTufQ9CdyulPb2X5C/00bea858ccdc8a7beded7d14034fdf54/how_to_4.png",[],{"type":20,"tag":223,"props":35865,"children":35867},{"id":35866},"develop-market-intelligence",[35868],{"type":25,"value":35869},"Develop Market Intelligence",{"type":20,"tag":21,"props":35871,"children":35872},{},[35873],{"type":25,"value":35874},"Now comes the fun part. You’ve passed your users to Narrative. You’ve defined your competitors. You’ve gotten back precise data about which of your users are spending time with your competitors. Now it’s time to do some analysis.",{"type":20,"tag":21,"props":35876,"children":35877},{},[35878],{"type":25,"value":35879},"Let’s start with some basic analytics. We’ve mocked up what this might look like in an excel spreadsheet that you can download and play with. We’ll assume that your master record includes the following customer information:",{"type":20,"tag":903,"props":35881,"children":35882},{},[35883,35888,35893,35898],{"type":20,"tag":907,"props":35884,"children":35885},{},[35886],{"type":25,"value":35887},"a canonical identifier",{"type":20,"tag":907,"props":35889,"children":35890},{},[35891],{"type":25,"value":35892},"a couple of columns of meta-data",{"type":20,"tag":907,"props":35894,"children":35895},{},[35896],{"type":25,"value":35897},"signup date",{"type":20,"tag":907,"props":35899,"children":35900},{},[35901],{"type":25,"value":35902},"lifetime value",{"type":20,"tag":21,"props":35904,"children":35905},{},[35906],{"type":25,"value":35907},"To that, we’ve appended data on three competitors, but instead of just having the competitive information be binary (they have interacted with the competitor or they haven’t) instead the information will be the first date that we saw them interact with the competitor.",{"type":20,"tag":21,"props":35909,"children":35910},{},[35911],{"type":25,"value":35912},"We’ll start with some basic analysis and look at the overlap between our customers and the customers of our competitors.",{"type":20,"tag":21,"props":35914,"children":35915},{},[35916],{"type":20,"tag":1630,"props":35917,"children":35920},{"alt":35918,"src":35919},"table 1","https://images.ctfassets.net/kelnhsdbpwjk/LIsLv3cTDfVTN4ZT4sG0i/f6b2be57a2c8976b9c735e9f2cf23a77/table_1.png",[],{"type":20,"tag":21,"props":35922,"children":35923},{},[35924],{"type":25,"value":35925},"And the distribution of users by the number of apps they’ve used within the entire competitive set (your app and competitors)",{"type":20,"tag":21,"props":35927,"children":35928},{},[35929],{"type":20,"tag":1630,"props":35930,"children":35933},{"alt":35931,"src":35932},"table 2","https://images.ctfassets.net/kelnhsdbpwjk/1DrHNcZ550fGfiAGFxet4t/b00c0877c2bbe41296d0224f59d837ca/table_2.png",[],{"type":20,"tag":21,"props":35935,"children":35936},{},[35937],{"type":25,"value":35938},"And by first seen / signup date",{"type":20,"tag":21,"props":35940,"children":35941},{},[35942],{"type":20,"tag":1630,"props":35943,"children":35946},{"alt":35944,"src":35945},"table 3","https://images.ctfassets.net/kelnhsdbpwjk/7jA1H0fTLhon9tlmdAl0qw/28d634e97236eb93712f60319c61a83d/table_3.png",[],{"type":20,"tag":223,"props":35948,"children":35950},{"id":35949},"turn-intelligence-into-a-competitive-strategy",[35951],{"type":25,"value":35952},"Turn Intelligence Into a Competitive Strategy",{"type":20,"tag":21,"props":35954,"children":35955},{},[35956],{"type":25,"value":35957},"Now that we’ve taken a look at some high-level summary statistics we can begin to develop a thesis on what the competitive landscape looks like and how we can take that knowledge and create a strategy that gives us a competitive advantage.",{"type":20,"tag":21,"props":35959,"children":35960},{},[35961],{"type":25,"value":35962},"One of the first things that sticks out in our analysis is that your newer users seem to be more loyal and that they have higher lifetime value. This could be due to improvements made to your app over time.",{"type":20,"tag":21,"props":35964,"children":35965},{},[35966],{"type":25,"value":35967},"With this insight, one might want to formulate a strategy to re-engage with users who downloaded the app before the improvements were made that are now using a competitive app. With the data now living in your system, this win-back strategy will be easy to execute.",{"type":20,"tag":223,"props":35969,"children":35971},{"id":35970},"convert-potential-customers",[35972],{"type":25,"value":35973},"Convert Potential Customers",{"type":20,"tag":21,"props":35975,"children":35976},{},[35977],{"type":25,"value":35978},"There are a number of ways you could execute on the win-back strategy. Remember, you have this data now and you can use it across all of your programs. An easy strategy might be to create a custom audience in Facebook of users who first installed your app in the first half of 2018, haven’t opened your app at all in 2019, but who have been seen actively engaging with your competitors since then. Doing that is as easy as exporting those users from your system and then uploading them to Facebook Ads through their custom audience interface.",{"type":20,"tag":21,"props":35980,"children":35981},{},[35982],{"type":25,"value":35983},"To make that strategy even more relevant you could upload multiple lists of users, segmented by which of your competitors’ apps they use and pair it with creative meant to resonate based on that knowledge.",{"type":20,"tag":21,"props":35985,"children":35986},{},[35987],{"type":25,"value":35988},"As you do more analysis on the data you could come up with more sophisticated strategies and test them to determine which one gives you the best results all the while enriching your customer records with more information by leveraging the Narrative Marketplace.",{"type":20,"tag":21,"props":35990,"children":35991},{},[35992,35994,35999,36001],{"type":25,"value":35993},"Interested in learning more about how Narrative can help you improve your ",{"type":20,"tag":44,"props":35995,"children":35997},{"href":5487,"rel":35996},[538],[35998],{"type":25,"value":5468},{"type":25,"value":36000}," and better inform growth strategies? ",{"type":20,"tag":44,"props":36002,"children":36003},{"href":180},[36004],{"type":25,"value":36005},"Request a demo.",{"title":8,"searchDepth":193,"depth":193,"links":36007},[36008,36009,36010,36011,36012,36013],{"id":35781,"depth":380,"text":35784},{"id":35805,"depth":380,"text":35808},{"id":35842,"depth":380,"text":35845},{"id":35866,"depth":380,"text":35869},{"id":35949,"depth":380,"text":35952},{"id":35970,"depth":380,"text":35973},"content:blog:using-narrative-for-mobile-app-competitive-intelligence.md","blog/using-narrative-for-mobile-app-competitive-intelligence.md","blog/using-narrative-for-mobile-app-competitive-intelligence",{"loc":21785},{"_path":36019,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":36020,"description":36021,"publishDate":36022,"author":12,"ogImage":36023,"image":36023,"tags":36024,"body":36025,"_type":195,"_id":36210,"_source":197,"_file":36211,"_stem":36212,"_extension":200,"sitemap":36213},"/blog/weed-out-the-competition","Cannabis Data 101: How to Use Data to Weed Out Competition and Cultivate Growth","The cannabis industry is booming and data is playing a big role in its success. Here are a few ways that data is being used to grow the cannabis industry.","2022-04-20 19:16:34","/img/blog/2022/04/Screen-Shot-2022-04-20-at-3.31.44-PM.png",[],{"type":17,"children":36026,"toc":36203},[36027,36032,36037,36043,36048,36053,36058,36064,36069,36081,36087,36099,36104,36109,36115,36120,36125,36138,36144,36149,36175,36186],{"type":20,"tag":21,"props":36028,"children":36029},{},[36030],{"type":25,"value":36031},"It’s no secret that the cannabis industry has experienced booming growth in a short period of time due to recent legalization laws and peaking recreational sales. Currently, cannabis is legal for recreational use in 19 states and for medical use in 36 states, and further legalization advancements are being made every year. The legal cannabis industry generated $25 billion in sales just last year and is expected to hit a sky-high record of $65 billion in 2030.",{"type":20,"tag":21,"props":36033,"children":36034},{},[36035],{"type":25,"value":36036},"Big data is a huge component in the rising trajectory of the cannabis industry. Due to the regulatory status of cannabis, companies are required to collect and report data on everything from cultivation to customer sales. Cannabis industry leaders are also using a range of external data to create better products, marketing campaigns, and business plans. This means that data on cannabis cultivation and consumption is being generated on an unprecedented scale, and data available to cannabis companies is bringing a whole new level of insight and improvement to the market.",{"type":20,"tag":223,"props":36038,"children":36040},{"id":36039},"data-is-crucial-for-cannabis-regulation-and-safety",[36041],{"type":25,"value":36042},"Data is crucial for cannabis regulation and safety",{"type":20,"tag":21,"props":36044,"children":36045},{},[36046],{"type":25,"value":36047},"Data is an important factor when it comes to the safety and quality of cannabis products. Since cannabis is a newly regulated industry, concern has been raised around companies distributing counterfeit products, incorrectly dosing, or not following regulations consistent with other organic industries.",{"type":20,"tag":21,"props":36049,"children":36050},{},[36051],{"type":25,"value":36052},"As the cannabis industry expands, companies are generating an immense amount of data on the entire seed-to-sale process. In fact, regulatory officials strictly mandate that data be provided on cannabis cultivation, shipping, productization, and sales to ensure transparency and safety.",{"type":20,"tag":21,"props":36054,"children":36055},{},[36056],{"type":25,"value":36057},"As all of this data is generated, it contributes to the evolution of cannabis production and safety. The more data companies generate and analyze for internal and external use, the more inefficiencies are illuminated, and the more operations can be refined to a safer and more efficient process.",{"type":20,"tag":223,"props":36059,"children":36061},{"id":36060},"data-improves-cannabis-products",[36062],{"type":25,"value":36063},"Data improves cannabis products",{"type":20,"tag":21,"props":36065,"children":36066},{},[36067],{"type":25,"value":36068},"Data has been greatly improving production and cultivation in the cannabis industry by helping companies refine processes related to plant health, harvest, and processing. For instance, measuring factors like grow-room temperature, light exposure, and water and soil composition could help produce better quality plants and improve the speed and consistency of growth. It’s even possible to use data to control factors like CBD levels, potency, aroma, and appearance.",{"type":20,"tag":21,"props":36070,"children":36071},{},[36072,36074,36079],{"type":25,"value":36073},"Growers and distributors can change the genetic makeup of their plants to consistently produce the most popular strains and can also identify undesirable characteristics associated with unpopular strains to make amendments. By consistently collecting and evaluating data, cannabis companies can adopt ",{"type":20,"tag":44,"props":36075,"children":36076},{"href":5},[36077],{"type":25,"value":36078},"data-driven strategies",{"type":25,"value":36080}," that produce the best plants, lower energy consumption, reduce waste, and yield a higher ROI.",{"type":20,"tag":223,"props":36082,"children":36084},{"id":36083},"data-helps-cannabis-companies-understand-their-audience",[36085],{"type":25,"value":36086},"Data helps cannabis companies understand their audience",{"type":20,"tag":21,"props":36088,"children":36089},{},[36090,36092,36097],{"type":25,"value":36091},"Cannabis consumers as one collective group can be difficult to make assumptions about since they fit into many separate demographics. Luckily, data being generated by each cannabis consumer, from ",{"type":20,"tag":44,"props":36093,"children":36094},{"href":5530},[36095],{"type":25,"value":36096},"location",{"type":25,"value":36098}," to gender to age to purchase history, can help brands understand each demographic’s buying habits and preferences.",{"type":20,"tag":21,"props":36100,"children":36101},{},[36102],{"type":25,"value":36103},"Trends in customer preferences and consumption can help brands make better decisions when it comes to creating new products, amending existing products, and marketing and advertising their products. What brands and product designs are appealing to customers, which dispensaries are performing best, and what store layouts and store management techniques are most effective? Data can answer those questions to create more compelling branding and messaging.",{"type":20,"tag":21,"props":36105,"children":36106},{},[36107],{"type":25,"value":36108},"Cannabis companies can also use their demographic and sales data to determine which products will perform best, where they might perform best, and when buyers are more likely to purchase. Tracking trends and making good use of the right data will lead to targeting the right markets, increasing sales, and boosting brand recognition.",{"type":20,"tag":223,"props":36110,"children":36112},{"id":36111},"data-helps-other-industries-understand-the-cannabis-consumer",[36113],{"type":25,"value":36114},"Data helps other industries understand the cannabis consumer",{"type":20,"tag":21,"props":36116,"children":36117},{},[36118],{"type":25,"value":36119},"Cannabis industries aren’t the only industries that can make use of this kind of information. Several other industries can benefit from understanding a cannabis audience. Medical industries might make use of data generated from medical cannabis consumers to create better medicinal products.",{"type":20,"tag":21,"props":36121,"children":36122},{},[36123],{"type":25,"value":36124},"Entertainment and media industries might make use of cannabis user data in order to produce better content or experiences for a cannabis consumer demographic. Food and beverage companies might use cannabis consumer data in order to create and market their products and services to cannabis users.",{"type":20,"tag":21,"props":36126,"children":36127},{},[36128,36130,36136],{"type":25,"value":36129},"Understanding a cannabis audience’s needs and wants can help several industries create better products, customer experiences, and ",{"type":20,"tag":44,"props":36131,"children":36134},{"href":36132,"rel":36133},"https://www.narrative.io/roles/marketers",[538],[36135],{"type":25,"value":16268},{"type":25,"value":36137}," messaging. They are an audience segment that industries should be tapping into as they are contributing to a rapidly booming industry and more data is being generated than ever before on their preferences and habits.",{"type":20,"tag":223,"props":36139,"children":36141},{"id":36140},"buying-and-selling-data-related-to-the-cannabis-industry",[36142],{"type":25,"value":36143},"Buying and selling data related to the cannabis industry",{"type":20,"tag":21,"props":36145,"children":36146},{},[36147],{"type":25,"value":36148},"Buying and evaluating outside data sources is how cannabis industries are able to gain a full picture of their consumers and industry in order to remain competitive. Data, whether it is related to the cannabis industry or not, is meant to be used to make improvements and advancements. Acquiring new external data can help companies make important discoveries and better decisions.",{"type":20,"tag":21,"props":36150,"children":36151},{},[36152,36154,36158,36160,36167,36169,36173],{"type":25,"value":36153},"If your organization has valuable data that could contribute to the growing cannabis industry, you could be generating an entirely new stream of revenue for your company by selling that data to interested buyers. Narrative’s ",{"type":20,"tag":44,"props":36155,"children":36156},{"href":566},[36157],{"type":25,"value":340},{"type":25,"value":36159}," enables businesses to quickly and easily launch an ecommerce data business without spending significant time and resources. ",{"type":20,"tag":44,"props":36161,"children":36164},{"href":36162,"rel":36163},"https://data.cnna.io/products",[538],[36165],{"type":25,"value":36166},"MediaJel’s ecommerce data store",{"type":25,"value":36168},", created with ",{"type":20,"tag":44,"props":36170,"children":36171},{"href":566},[36172],{"type":25,"value":340},{"type":25,"value":36174},", is one example of a data shop that has extensive cannabis consumer data available for purchase.",{"type":20,"tag":21,"props":36176,"children":36177},{},[36178,36180,36184],{"type":25,"value":36179},"If you’re looking to acquire data to help grow your cannabis company or target cannabis consumers, Narrative’s ",{"type":20,"tag":44,"props":36181,"children":36182},{"href":572},[36183],{"type":25,"value":575},{"type":25,"value":36185}," gives you advanced filtering options that make it easy to find and purchase the exact data you’re looking for. You can start getting the precise data you need with just a few clicks.",{"type":20,"tag":21,"props":36187,"children":36188},{},[36189,36194,36195],{"type":20,"tag":33,"props":36190,"children":36191},{},[36192],{"type":25,"value":36193},"Need cannabis consumer data today? Have data that cannabis companies are looking to buy?",{"type":25,"value":177},{"type":20,"tag":44,"props":36196,"children":36197},{"href":180},[36198],{"type":20,"tag":33,"props":36199,"children":36200},{},[36201],{"type":25,"value":36202},"Our experts are here to help you buy or sell!",{"title":8,"searchDepth":193,"depth":193,"links":36204},[36205,36206,36207,36208,36209],{"id":36039,"depth":380,"text":36042},{"id":36060,"depth":380,"text":36063},{"id":36083,"depth":380,"text":36086},{"id":36111,"depth":380,"text":36114},{"id":36140,"depth":380,"text":36143},"content:blog:weed-out-the-competition.md","blog/weed-out-the-competition.md","blog/weed-out-the-competition",{"loc":36019},{"_path":311,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":36215,"description":36216,"publishDate":36217,"author":12,"ogImage":36218,"image":36218,"tags":36219,"body":36220,"_type":195,"_id":36552,"_source":197,"_file":36553,"_stem":36554,"_extension":200,"sitemap":36555},"What is a Data Exchange?","Data exchanges are marketplaces stocked with data assets where data providers and data consumers are able to connect and exchange data in a seamless and secure manner. ","2021-10-13 16:01:03","/img/blog/2021/10/Screen-Shot-2021-10-13-at-11.58.35-AM.png",[209,610],{"type":17,"children":36221,"toc":36539},[36222,36227,36236,36241,36250,36261,36280,36289,36298,36303,36312,36317,36326,36331,36340,36345,36354,36360,36365,36371,36376,36382,36387,36393,36422,36427,36433,36439,36451,36460,36465,36474,36486,36495,36500,36509],{"type":20,"tag":21,"props":36223,"children":36224},{},[36225],{"type":25,"value":36226},"The new data economy is a feast of information and organizations are not only hungry for data; they are serving it up too. Data exchanges are creating a data boom that is generating revenue streams for data providers and supplying a smorgasbord of accessible data to data consumers. These data marketplaces have become key players in the data game and it is indisputable that companies must understand how to take advantage of these networks in order to maximize their own success.",{"type":20,"tag":28,"props":36228,"children":36230},{"id":36229},"what-is-a-data-exchange",[36231],{"type":20,"tag":33,"props":36232,"children":36233},{},[36234],{"type":25,"value":36235},"What Is a Data Exchange?",{"type":20,"tag":21,"props":36237,"children":36238},{},[36239],{"type":25,"value":36240},"Data exchanges are marketplaces stocked with data assets where data providers and data consumers are able to connect and exchange data in a seamless and secure manner. These exchanges simplify the acquisition and integration of data by minimizing traditional barriers and creating a frictionless experience for their participants. A quality data exchange provides those in the data economy with transparency, trust, quality, security, and integration.",{"type":20,"tag":28,"props":36242,"children":36244},{"id":36243},"why-are-companies-using-data-exchanges",[36245],{"type":20,"tag":33,"props":36246,"children":36247},{},[36248],{"type":25,"value":36249},"Why are companies using data exchanges?",{"type":20,"tag":21,"props":36251,"children":36252},{},[36253,36255,36259],{"type":25,"value":36254},"A quality data exchange is useful because companies will always need more than just ",{"type":20,"tag":44,"props":36256,"children":36257},{"href":46},[36258],{"type":25,"value":49},{"type":25,"value":36260},". They must look for data outside of their own organization in order to maximize clarity and insight. Because of this, there will always be a steady supply of valuable data and an insatiable demand for it within data exchanges.",{"type":20,"tag":21,"props":36262,"children":36263},{},[36264,36266,36271,36273,36278],{"type":25,"value":36265},"For data consumers, data exchanges are a treasure trove that can’t be overlooked. With access to an endless supply of data points, companies can use data exchanges to ",{"type":20,"tag":44,"props":36267,"children":36268},{"href":12062},[36269],{"type":25,"value":36270},"acquire data",{"type":25,"value":36272}," that will fill in gaps of information that only ",{"type":20,"tag":44,"props":36274,"children":36275},{"href":46},[36276],{"type":25,"value":36277},"second-party and third-party data",{"type":25,"value":36279}," can. For data distributors, data exchanges are an untapped revenue source. Companies can take the data they’ve collected and spin it into gold. Organizations that properly utilize a data exchange have a huge advantage; they gain access to multiple sources of accurate and current information while simultaneously monetizing their own data assets.",{"type":20,"tag":28,"props":36281,"children":36283},{"id":36282},"what-are-the-benefits-of-using-a-data-exchange",[36284],{"type":20,"tag":33,"props":36285,"children":36286},{},[36287],{"type":25,"value":36288},"What are the benefits of using a data exchange?",{"type":20,"tag":1495,"props":36290,"children":36292},{"id":36291},"they-simplify-how-companies-buy-and-sell-data",[36293],{"type":20,"tag":33,"props":36294,"children":36295},{},[36296],{"type":25,"value":36297},"They simplify how companies buy and sell data",{"type":20,"tag":21,"props":36299,"children":36300},{},[36301],{"type":25,"value":36302},"Sharing data between organizations has been a traditionally difficult endeavor. Many companies have endured the painstaking process of finding a suitable source of data, evaluating that data, negotiating a price for that data, and integrating that data with their internal systems. It’s a time-consuming undertaking that generally does not go smoothly and is often not worth the effort. Data exchanges make it easy to purchase data directly from several suppliers at once without having to go through the old-fashioned steps.",{"type":20,"tag":1495,"props":36304,"children":36306},{"id":36305},"they-provide-more-accurate-insight",[36307],{"type":20,"tag":33,"props":36308,"children":36309},{},[36310],{"type":25,"value":36311},"They provide more accurate insight",{"type":20,"tag":21,"props":36313,"children":36314},{},[36315],{"type":25,"value":36316},"The wealth of data that is shared within data exchanges gives companies better clarity when it comes to making business decisions and strategizing. With the data available to them in data exchanges, organizations can enrich their statistical and machine learning models, enhance analyses and forecasts, create more in-depth profiles of their customers, and much more.",{"type":20,"tag":1495,"props":36318,"children":36320},{"id":36319},"they-give-companies-control",[36321],{"type":20,"tag":33,"props":36322,"children":36323},{},[36324],{"type":25,"value":36325},"They give companies control",{"type":20,"tag":21,"props":36327,"children":36328},{},[36329],{"type":25,"value":36330},"Data exchanges give companies the power to purchase and monetize data on their own terms. By using exciting new technology and providing an easily accessible platform, data exchanges eliminate the need to use middlemen which would drain valuable time and resources.",{"type":20,"tag":1495,"props":36332,"children":36334},{"id":36333},"they-facilitate-the-commercialization-of-data",[36335],{"type":20,"tag":33,"props":36336,"children":36337},{},[36338],{"type":25,"value":36339},"They facilitate the commercialization of data",{"type":20,"tag":21,"props":36341,"children":36342},{},[36343],{"type":25,"value":36344},"Data exchanges create a two-way data ecosystem that is highly valuable to both data originators and data acquirers. The data that saturates these exchanges provides value to a brand’s suppliers, clients, and partners. Enterprises have access to an entire network of data potential and at the same time are able to generate new streams of revenue through data monetization.",{"type":20,"tag":28,"props":36346,"children":36348},{"id":36347},"what-are-the-disadvantages-of-using-a-data-exchange",[36349],{"type":20,"tag":33,"props":36350,"children":36351},{},[36352],{"type":25,"value":36353},"What are the disadvantages of using a data exchange?",{"type":20,"tag":1495,"props":36355,"children":36357},{"id":36356},"theres-not-much-ability-to-differentiate-yourself-as-a-seller",[36358],{"type":25,"value":36359},"There's not much ability to differentiate yourself as a seller",{"type":20,"tag":21,"props":36361,"children":36362},{},[36363],{"type":25,"value":36364},"You may not have much traction on these platforms and might not generate a large amount of revenue since you don’t have much opportunity to differentiate your business and your data products from other data distributors within the exchange you are participating in. Every data seller looks and operates the same on these platforms, which can cause your data to be hard to find and, consequently, hard to sell.",{"type":20,"tag":1495,"props":36366,"children":36368},{"id":36367},"some-technical-expertise-is-required",[36369],{"type":25,"value":36370},"Some technical expertise is required",{"type":20,"tag":21,"props":36372,"children":36373},{},[36374],{"type":25,"value":36375},"These marketplaces can also be difficult to navigate and utilize properly without the technical expertise needed to package and productize your organization’s data. If you don't have some technical expertise, using these data exchanges might not be intuitive and could get frustrating quickly.",{"type":20,"tag":1495,"props":36377,"children":36379},{"id":36378},"limited-ability-to-filter-and-customize",[36380],{"type":25,"value":36381},"Limited ability to filter and customize",{"type":20,"tag":21,"props":36383,"children":36384},{},[36385],{"type":25,"value":36386},"Data exchanges also often don't offer the flexibility of picking and choosing exactly the data points you want to buy or sell. There are many limitations on your ability to create custom data products or buy precise data based on your company's particular priorities and preferences.",{"type":20,"tag":28,"props":36388,"children":36390},{"id":36389},"there-is-a-better-option-a-data-collaboration-platform",[36391],{"type":25,"value":36392},"There is a better option: a data collaboration platform",{"type":20,"tag":21,"props":36394,"children":36395},{},[36396,36397,36402,36404,36409,36410,36415,36417,36421],{"type":25,"value":769},{"type":20,"tag":44,"props":36398,"children":36400},{"href":7170,"rel":36399},[538],[36401],{"type":25,"value":776},{"type":25,"value":36403}," is software that makes ",{"type":20,"tag":44,"props":36405,"children":36406},{"href":12062},[36407],{"type":25,"value":36408},"buying",{"type":25,"value":160},{"type":20,"tag":44,"props":36411,"children":36412},{"href":620},[36413],{"type":25,"value":36414},"selling",{"type":25,"value":36416}," quality data assets faster and easier than ever. Data collaboration platforms like Narrative provide a marketplace in which to sell or buy data, but we also provide the tools you need in order to filter and buy the exact data you want and create a branded data business with custom ",{"type":20,"tag":44,"props":36418,"children":36419},{"href":823},[36420],{"type":25,"value":11067},{"type":25,"value":191},{"type":20,"tag":21,"props":36423,"children":36424},{},[36425],{"type":25,"value":36426},"Data providers can package, publish, and distribute their own data with just a few clicks and data consumers can buy and integrate only the relevant data sets they need (and none that they don't need). Data collaboration platforms offer the customization and differentiating power that data exchanges can't. They also simplify the process to point-and-click workflows that anybody, even someone without any technical expertise, could master. It’s Shopify for data!",{"type":20,"tag":28,"props":36428,"children":36430},{"id":36429},"why-is-narrative-the-1-data-collaboration-platform",[36431],{"type":25,"value":36432},"Why is Narrative the #1 data collaboration platform?",{"type":20,"tag":1495,"props":36434,"children":36436},{"id":36435},"guaranteed-quality-data",[36437],{"type":25,"value":36438},"Guaranteed quality data",{"type":20,"tag":21,"props":36440,"children":36441},{},[36442,36444,36449],{"type":25,"value":36443},"Narrative focuses on providing ",{"type":20,"tag":44,"props":36445,"children":36447},{"href":7980,"rel":36446},[538],[36448],{"type":25,"value":31999},{"type":25,"value":36450},", ensuring bots are eliminated and data buyers know exactly where their data is coming from. Because companies have access to fully transparent sources, they can be confident that the data they purchase is reliable and compliant.",{"type":20,"tag":1495,"props":36452,"children":36454},{"id":36453},"reduce-wasted-expenses",[36455],{"type":20,"tag":33,"props":36456,"children":36457},{},[36458],{"type":25,"value":36459},"Reduce wasted expenses",{"type":20,"tag":21,"props":36461,"children":36462},{},[36463],{"type":25,"value":36464},"Narrative offers highly customizable filtering options that enable you to buy only the exact observations you need, and none that you don’t. You won’t encounter vaguely defined segments of questionable quality; instead, Narrative allows you to run truth set analyses before you buy to ensure the data you’re purchasing meets your standards for accuracy and precision. Additionally, automatic deduplication ensures you never pay for the same observation twice.",{"type":20,"tag":1495,"props":36466,"children":36468},{"id":36467},"integrate-seamlessly",[36469],{"type":20,"tag":33,"props":36470,"children":36471},{},[36472],{"type":25,"value":36473},"Integrate seamlessly",{"type":20,"tag":21,"props":36475,"children":36476},{},[36477,36479,36484],{"type":25,"value":36478},"While every company collects data differently, making that data difficult to “translate” and share with another company that may interpret data very differently, Narrative makes it possible to share any and all data without having to hire a data engineer. Narrative’s data collaboration platform uses a technology called ",{"type":20,"tag":44,"props":36480,"children":36482},{"href":17626,"rel":36481},[538],[36483],{"type":25,"value":1908},{"type":25,"value":36485},", which effectively translates all of your data to be easily understood and usable to anyone that it is shared with. This makes it possible for any enterprise to simply upload their data onto the platform and have it available to the buyers seeking that data within hours.",{"type":20,"tag":1495,"props":36487,"children":36489},{"id":36488},"easily-monetize-your-data",[36490],{"type":20,"tag":33,"props":36491,"children":36492},{},[36493],{"type":25,"value":36494},"Easily monetize your data",{"type":20,"tag":21,"props":36496,"children":36497},{},[36498],{"type":25,"value":36499},"Anyone can create a fully functional data business in as little as a day by utilizing the tools Narrative provides, even if they don’t have coding or design experience. Instead of having to burn through resources by hiring data engineers, developers, salespeople, and legal and financial teams, you can take control and set up your own data business with our intuitive tools.",{"type":20,"tag":28,"props":36501,"children":36503},{"id":36502},"narrative-is-the-fastest-and-easiest-way-to-exchange-data",[36504],{"type":20,"tag":33,"props":36505,"children":36506},{},[36507],{"type":25,"value":36508},"Narrative is the fastest and easiest way to exchange data",{"type":20,"tag":21,"props":36510,"children":36511},{},[36512,36514,36518,36519,36524,36526,36531,36533,36538],{"type":25,"value":36513},"Narrative’s data collaboration platform makes it easy to ",{"type":20,"tag":44,"props":36515,"children":36516},{"href":324},[36517],{"type":25,"value":1226},{"type":25,"value":160},{"type":20,"tag":44,"props":36520,"children":36522},{"href":15333,"rel":36521},[538],[36523],{"type":25,"value":1232},{"type":25,"value":36525}," data. Data suppliers can ingest, package, and deliver their data, and data consumers can discover and acquire valuable data sets that can be delivered to any preferred endpoint. You have access to billions of data points and can also contribute your own to start generating new revenue! Speak to a member of our ",{"type":20,"tag":44,"props":36527,"children":36529},{"href":36528},"/contact?hsCtaTracking=3cc18a2d-34ee-48ae-8dc5-f0accaa8ada4%7C6b8edba4-0356-4ffa-8e48-de5ce3d8fb0e",[36530],{"type":25,"value":1244},{"type":25,"value":36532}," to learn more or access the ",{"type":20,"tag":44,"props":36534,"children":36536},{"href":4864,"rel":36535},[538],[36537],{"type":25,"value":6064},{"type":25,"value":1246},{"title":8,"searchDepth":193,"depth":193,"links":36540},[36541,36542,36543,36544,36545,36546,36547,36548,36549,36550,36551],{"id":36291,"depth":193,"text":36297},{"id":36305,"depth":193,"text":36311},{"id":36319,"depth":193,"text":36325},{"id":36333,"depth":193,"text":36339},{"id":36356,"depth":193,"text":36359},{"id":36367,"depth":193,"text":36370},{"id":36378,"depth":193,"text":36381},{"id":36435,"depth":193,"text":36438},{"id":36453,"depth":193,"text":36459},{"id":36467,"depth":193,"text":36473},{"id":36488,"depth":193,"text":36494},"content:blog:what-is-a-data-exchange.md","blog/what-is-a-data-exchange.md","blog/what-is-a-data-exchange",{"loc":311},{"_path":36557,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":36558,"description":36559,"publishDate":36560,"author":12,"ogImage":36561,"image":36561,"tags":36562,"body":36563,"_type":195,"_id":36920,"_source":197,"_file":36921,"_stem":36922,"_extension":200,"sitemap":36923},"/blog/what-is-a-retail-media-network","What is a Retail Media Network?","Learn what retail media networks are, how they work, and and how retailers can leverage them to drive revenue. ","2023-01-26 20:42:21","/img/blog/2023/01/04-19.png",[610],{"type":17,"children":36564,"toc":36911},[36565,36578,36583,36588,36593,36598,36604,36609,36618,36623,36632,36644,36653,36658,36667,36672,36677,36683,36694,36703,36708,36713,36731,36736,36745,36757,36762,36767,36776,36781,36786,36791,36796,36802,36814,36819,36824,36837,36842,36849,36854,36859,36864,36869,36874,36880,36885,36890],{"type":20,"tag":21,"props":36566,"children":36567},{},[36568,36570,36577],{"type":25,"value":36569},"Retail media is a rapidly growing industry, with ",{"type":20,"tag":44,"props":36571,"children":36574},{"href":36572,"rel":36573},"https://www.forrester.com/blogs/us-retail-media-ad-sales-will-hit-40-billion/",[538],[36575],{"type":25,"value":36576},"retail media ad sales in the US alone estimated to reach $40 billion this year and more than double over the next four years",{"type":25,"value":191},{"type":20,"tag":21,"props":36579,"children":36580},{},[36581],{"type":25,"value":36582},"The rise in ecommerce, fueled in large part by the pandemic, has led to retailers becoming some of the most important publishers in the world. In fact, retail media is now considered the new \"endcap\" for brands to reach prospective buyers.",{"type":20,"tag":21,"props":36584,"children":36585},{},[36586],{"type":25,"value":36587},"A retail media network refers to the channels that retailers give advertisers access to and collect first-party data from, such as a website or app. These networks allow advertisers to reach in-market consumers when they are in a purchasing mindset and also allow them to collect valuable insight into customer behavior.",{"type":20,"tag":21,"props":36589,"children":36590},{},[36591],{"type":25,"value":36592},"However, the potential for retail media extends beyond marketing on a retailer’s website or app. Brands are looking to reach customers earlier in their journey, and retail data and measurement can add tremendous value for brand teams, helping them reach the right consumers wherever they are. Retail media can help brands understand their customers better and create more personalized ad experiences that drive awareness and ultimately sales.",{"type":20,"tag":21,"props":36594,"children":36595},{},[36596],{"type":25,"value":36597},"Recent changes in the industry, such as new regulations, the rise of programmatic connected TV (CTV) advertising, and the impending demise of third-party cookies, have made it necessary for brands to find more durable and  privacy-safe data solutions, and have created an opportunity for retailers.",{"type":20,"tag":28,"props":36599,"children":36601},{"id":36600},"what-makes-retail-data-essential-to-brand-marketing",[36602],{"type":25,"value":36603},"What makes retail data essential to brand marketing?",{"type":20,"tag":21,"props":36605,"children":36606},{},[36607],{"type":25,"value":36608},"The data that retailers have to offer is uniquely positioned to add value to brand marketers because of four primary differentiators: retail data is deterministic, accurate, rich, and holds brands accountable.",{"type":20,"tag":1495,"props":36610,"children":36612},{"id":36611},"retail-data-is-deterministic",[36613],{"type":20,"tag":33,"props":36614,"children":36615},{},[36616],{"type":25,"value":36617},"Retail data is deterministic",{"type":20,"tag":21,"props":36619,"children":36620},{},[36621],{"type":25,"value":36622},"Retailers collect data primarily through loyalty programs or online transactions, where they collect not only emails and phone numbers, but also, importantly, they collect consent from consumers to receive marketing and advertising messaging. This makes it a more consent-driven, privacy-safe way to share data and market to customers.",{"type":20,"tag":1495,"props":36624,"children":36626},{"id":36625},"retail-data-is-durable",[36627],{"type":20,"tag":33,"props":36628,"children":36629},{},[36630],{"type":25,"value":36631},"Retail data is durable",{"type":20,"tag":21,"props":36633,"children":36634},{},[36635,36637,36643],{"type":25,"value":36636},"Since retailers collect data connected to emails and phone numbers, their data is durable. This makes it easy to take those identifiers and translate them to a cookie-free internet, whether that's CTV or opted-in or authenticated views on publisher sites. Inventory is becoming increasingly consent-driven, which allows brands to continue to make connections to their audience in a way that is ",{"type":20,"tag":44,"props":36638,"children":36640},{"href":536,"rel":36639},[538],[36641],{"type":25,"value":36642},"safe and compliant",{"type":25,"value":191},{"type":20,"tag":1495,"props":36645,"children":36647},{"id":36646},"retail-data-is-accurate",[36648],{"type":20,"tag":33,"props":36649,"children":36650},{},[36651],{"type":25,"value":36652},"Retail data is accurate",{"type":20,"tag":21,"props":36654,"children":36655},{},[36656],{"type":25,"value":36657},"Retail data is extremely accurate because it is true purchase data matched to email. The best predictor of future purchase behavior is often past purchase behavior. Retailers have seen years, if not sometimes dozens of years, of buying behavior. Often customers are loyal to a brand and that brand can watch their customers’ buying behavior evolve. Retailers are able to see what buyers have bought in the past, what they are currently buying, and most importantly, use those signals to predict what they are likely to buy tomorrow. These are extremely rich signals that other third-party data providers don't have access to.",{"type":20,"tag":1495,"props":36659,"children":36661},{"id":36660},"retail-data-adds-accountability-to-brand-marketers",[36662],{"type":20,"tag":33,"props":36663,"children":36664},{},[36665],{"type":25,"value":36666},"Retail data adds accountability to brand marketers",{"type":20,"tag":21,"props":36668,"children":36669},{},[36670],{"type":25,"value":36671},"Given the economic challenges that the world and country are facing, and given the fact that so much more programmatic ad spend is going to high-cost inventory like CTV, brand marketers are now holding their media to accountability standards that they'd never held it to before in order to optimize toward true sales. Brand marketers need hands-on access to data in order to effectively target their audience and drive sales, so it’s extremely important to have data that is deterministic, durable, and accurate…which is exactly what retail data is.",{"type":20,"tag":21,"props":36673,"children":36674},{},[36675],{"type":25,"value":36676},"Giving brand marketers the data they need is how retailers are going to unlock brand dollars on top of the shopper dollars they're already making a killing on. Ultimately, from both the supply and demand point of view, there is ample opportunity for growth and revenue. From a supply side, a very powerful new arsenal of data that retailers have been building up can now be unlocked and monetized. On the demand side, brands see abundant value in the data that retailers have to offer. Brands are eager to use this data on their own terms and with tools that they are familiar with so that they can link it to their existing models and processes.",{"type":20,"tag":28,"props":36678,"children":36680},{"id":36679},"how-retailers-can-turn-their-audience-data-into-revenue-with-narrative-and-the-trade-desk",[36681],{"type":25,"value":36682},"How retailers can turn their audience data into revenue with Narrative and The Trade Desk",{"type":20,"tag":21,"props":36684,"children":36685},{},[36686,36692],{"type":20,"tag":36687,"props":36688,"children":36689},"span",{},[36690],{"type":25,"value":36691},"The partnership between Narrative and The Trade Desk",{"type":25,"value":36693}," makes it easier for buyers and sellers in all industries to share, collaborate, and monetize data. The Trade Desk works with retailers across the globe to build data solutions for them to monetize their data with brand marketers. Narrative provides the technology and software that allows advertisers or third-party data providers to send their data quickly, safely, and easily into The Trade Desk and other endpoints.",{"type":20,"tag":1495,"props":36695,"children":36697},{"id":36696},"automate-the-standardization-of-your-data-without-extra-hassle-or-cost",[36698],{"type":20,"tag":33,"props":36699,"children":36700},{},[36701],{"type":25,"value":36702},"Automate the standardization of your data without extra hassle or cost",{"type":20,"tag":21,"props":36704,"children":36705},{},[36706],{"type":25,"value":36707},"One roadblock for retailers and marketers is that it can be expensive, tedious, and time-consuming to get data into a platform and normalize it so that it makes sense to those who want to use it. There are technical problems that many organizations face: How do we actually move the data? How do we do it in a way that's secure and privacy-safe? How do we make sure that it's repeatable and instant so people have the data as quickly as possible?",{"type":20,"tag":21,"props":36709,"children":36710},{},[36711],{"type":25,"value":36712},"Historically, consulting services were the middlemen that organizations called to transfer data. But in this current fast-paced advertising ecosystem, services like this are often expensive and provide little added value.",{"type":20,"tag":21,"props":36714,"children":36715},{},[36716,36718,36723,36725,36729],{"type":25,"value":36717},"With Narrative, organizations can take their data and put it in a place where it can be easily ingested and used without having to hire middleman services. Using the app ",{"type":20,"tag":44,"props":36719,"children":36721},{"href":10390,"rel":36720},[538],[36722],{"type":25,"value":13019},{"type":25,"value":36724}," and a new software called ",{"type":20,"tag":44,"props":36726,"children":36727},{"href":3646},[36728],{"type":25,"value":1908},{"type":25,"value":36730},", any data can be transformed into a format and stream that can be easily understood and accessed. This allows business users to be able to transfer data seamlessly to an advertiser on their own.",{"type":20,"tag":21,"props":36732,"children":36733},{},[36734],{"type":25,"value":36735},"Without Narrative’s software, a retailer’s technical team would be responsible for transforming data from one system to another. But with Narrative, this complex endeavor is made into a quick and easy self-service process that any business user can execute end-to-end.",{"type":20,"tag":1495,"props":36737,"children":36739},{"id":36738},"create-custom-data-segments-and-deliver-data-directly-advertisers",[36740],{"type":20,"tag":33,"props":36741,"children":36742},{},[36743],{"type":25,"value":36744},"Create custom data segments and deliver data directly advertisers",{"type":20,"tag":21,"props":36746,"children":36747},{},[36748,36750,36755],{"type":25,"value":36749},"Narrative enables data providers to upload their data into a system in its original format, where the data is cleaned, standardized, and organized. Data providers can then slice and dice their data to build bespoke segments and audiences using ",{"type":20,"tag":44,"props":36751,"children":36753},{"href":10418,"rel":36752},[538],[36754],{"type":25,"value":13709},{"type":25,"value":36756},". Once the data has been organized and packaged to a seller’s specifications, it is then delivered seamlessly to a platform where it can be leveraged, such as The Trade Desk.",{"type":20,"tag":21,"props":36758,"children":36759},{},[36760],{"type":25,"value":36761},"But in order to get data in The Trade Desk, it needs to be tied to an identity that The Trade Desk understands. Narrative takes retailers' data and maps it to UID2s, which are unencrypted universal identifiers that can be used to establish identity without third-party cookies.",{"type":20,"tag":21,"props":36763,"children":36764},{},[36765],{"type":25,"value":36766},"UID2s last longer than traditional cookies and are more privacy-safe by design. And since retailers are actually getting permission from their customers to use their data, these data points don’t have the weight around them that traditional identifiers have had. Once data has been turned into UID2s, Narrative can then deliver it seamlessly into The Trade Desk system so it can be leveraged by advertisers.",{"type":20,"tag":1495,"props":36768,"children":36770},{"id":36769},"dramatically-cut-down-the-time-it-takes-to-complete-a-data-transaction",[36771],{"type":20,"tag":33,"props":36772,"children":36773},{},[36774],{"type":25,"value":36775},"Dramatically cut down the time it takes to complete a data transaction",{"type":20,"tag":21,"props":36777,"children":36778},{},[36779],{"type":25,"value":36780},"Narrative and The Trade Desk make it easy for brands to use, access, and activate retailers’ data. Not only are the right platform and tools provided, but the process is dramatically simplified and accelerated.",{"type":20,"tag":21,"props":36782,"children":36783},{},[36784],{"type":25,"value":36785},"Digital advertising moves very quickly. If a brand wants to acquire a retailer’s data and that retailer takes two months to deliver, the brand in question may have already moved on to simpler and faster data acquisitions.",{"type":20,"tag":21,"props":36787,"children":36788},{},[36789],{"type":25,"value":36790},"For example, a brand may seek data from a sports merchandise retailer like Fanatics that can be used around the World Cup. The World Cup is an event with a set date so this data acquisition is time sensitive. Fanatics would have to take two to six weeks to get this brand their data if they used a services-oriented business.",{"type":20,"tag":21,"props":36792,"children":36793},{},[36794],{"type":25,"value":36795},"But by using Narrative, Fanatics can speed up the supply chain to as little as a couple hours and get this brand their data in the timeframe they need it. Within hours, data is ready to be used by the buyer. This process can then be repeated as often as it needs to be.",{"type":20,"tag":28,"props":36797,"children":36799},{"id":36798},"case-study-how-fanatics-monetizes-their-sports-consumers-audience-with-narrative-and-the-trade-desk",[36800],{"type":25,"value":36801},"Case study: How Fanatics monetizes their sports consumers audience with Narrative and The Trade Desk",{"type":20,"tag":21,"props":36803,"children":36804},{},[36805,36812],{"type":20,"tag":44,"props":36806,"children":36809},{"href":36807,"rel":36808},"https://www.fanatics.com/",[538],[36810],{"type":25,"value":36811},"Fanatics",{"type":25,"value":36813},", the global leader in licensed sports merchandise, is taking advantage of these capabilities and working with Narrative and The Trade Desk to capitalize on the value of their own data. As ecommerce exploded over the last few years, retailers like Fanatics became some of the most important publishers in the world, especially on the open Internet, and their data is extremely valuable to advertisers.",{"type":20,"tag":21,"props":36815,"children":36816},{},[36817],{"type":25,"value":36818},"Fanatics is the global ecommerce provider for all officially licensed sports gear. They sell email campaigns and display advertising on their owned and operated sites. But their brands began expressing interest in acquiring the valuable data of their sports' consumer base and using it in other platforms.",{"type":20,"tag":21,"props":36820,"children":36821},{},[36822],{"type":25,"value":36823},"The tech teams at Fanatics were great at standing up robust ecommerce platforms, but when it came to having a solution where they could push a data asset for the World Cup, for example, their production queue would be extremely long. Additionally, attempting to have a sync between the UID2s and the Fanatics tech teams seemed to be a near impossibility.",{"type":20,"tag":21,"props":36825,"children":36826},{},[36827,36829,36835],{"type":25,"value":36828},"Narrative was able to help Fanatics slice and dice their data and deliver it to endpoints like The Trade Desk. Together, all teams built a solution that is quick, timely, and also delivers the scale that Fanatics needed. Now, when brands come to ",{"type":20,"tag":44,"props":36830,"children":36833},{"href":36831,"rel":36832},"https://fanaticsdatashop.com/",[538],[36834],{"type":25,"value":36811},{"type":25,"value":36836}," for a custom data solution based upon the assets that they have, they can deliver that data to that endpoint for activation within a matter of hours or days.",{"type":20,"tag":21,"props":36838,"children":36839},{},[36840],{"type":25,"value":36841},"As the retailer and owner of the data, Fanatics has ultimate control over where their data goes into The Trade Desk. If they only want to approve 20 advertisers to access their data, they can control that their data is sent only to those seats on The Trade Desk and nobody else gets access to it. If they wanted to have their data be on the shelves of The Trade Desk marketplace, they could allow that as well.",{"type":20,"tag":21,"props":36843,"children":36844},{},[36845],{"type":20,"tag":20150,"props":36846,"children":36848},{"value":36847},"cta('9d49f4a5-3c74-4459-8c35-878cc1aed1bf')",[],{"type":20,"tag":21,"props":36850,"children":36851},{},[36852],{"type":25,"value":36853},"Fanatics is able to push their data to Narrative in whatever format they are most comfortable with and Narrative’s technology adapts and learns how to deal with that data. This is a huge shortcut compared to the amount of time and resources that many organizations have sunk into complicated data engineering and data integration.",{"type":20,"tag":21,"props":36855,"children":36856},{},[36857],{"type":25,"value":36858},"Fanatics also has the capability to create data segments outside of their core sports consumer. For instance, Fanatics is able to glean non-sports-centered data, such as the percentage of their consumer base that is mother or female, which customers are memorabilia purchasers, how many of their buyers have additional disposable income, and more. If a brand wanted to understand everybody who bought a double XL shirt, Fanatics is able to prove that asset. If a brand wanted to understand people that bought a Swarovski crystal football, they have data on that consumer.",{"type":20,"tag":21,"props":36860,"children":36861},{},[36862],{"type":25,"value":36863},"Within every retailer’s data is interesting information that brands can use to reach new audiences and help with brand awareness for these in-market consumers. If a family is buying multiple onesies, there is probably a good indicator that they may have a baby on the way. And so a diaper company, for example, might acquire that useful signal to help them target and reach those buyers across the open Internet.",{"type":20,"tag":21,"props":36865,"children":36866},{},[36867],{"type":25,"value":36868},"Narrative also allows Fanatics to overlap reports, so if one client wants to bring in some data that another client also has, Narrative can identify and highlight where the overlap is. Fanatics will also be able to launch measurement solutions, enabling advertisers to use their data to understand where within the sports landscape their converters or non-converters lie. The possibilities of these technologies continue to grow and improve.",{"type":20,"tag":21,"props":36870,"children":36871},{},[36872],{"type":25,"value":36873},"Using the capabilities that Narrative and The Trade Desk platforms provide, Fanatics is now tapping into even more revenue opportunities and growing their data monetization initiatives in an exciting way.",{"type":20,"tag":28,"props":36875,"children":36877},{"id":36876},"deliver-data-seamlessly-to-advertisers-with-narrative",[36878],{"type":25,"value":36879},"Deliver data seamlessly to advertisers with Narrative",{"type":20,"tag":21,"props":36881,"children":36882},{},[36883],{"type":25,"value":36884},"As a retailer, you are in the best position to begin generating new revenue streams from the data you already automatically collect. The demand for first-party retail data is soaring and the technology to package and deliver that data is the best it has ever been.",{"type":20,"tag":21,"props":36886,"children":36887},{},[36888],{"type":25,"value":36889},"Narrative provides the tools and support you need to get started with monetizing your valuable first-party data. Using an easy, point-and-click interface, you’ll be able to ingest your data in its original format, slice and dice your data into custom products, and deliver that data to your buyers seamlessly. It’s fast, easy, and secure.",{"type":20,"tag":21,"props":36891,"children":36892},{},[36893,36898,36899,36907],{"type":20,"tag":33,"props":36894,"children":36895},{},[36896],{"type":25,"value":36897},"Learn how you can start generating revenue from your first-party data.",{"type":25,"value":177},{"type":20,"tag":44,"props":36900,"children":36901},{"href":180},[36902],{"type":20,"tag":33,"props":36903,"children":36904},{},[36905],{"type":25,"value":36906},"Get in touch with our experts today",{"type":20,"tag":33,"props":36908,"children":36909},{},[36910],{"type":25,"value":191},{"title":8,"searchDepth":193,"depth":193,"links":36912},[36913,36914,36915,36916,36917,36918,36919],{"id":36611,"depth":193,"text":36617},{"id":36625,"depth":193,"text":36631},{"id":36646,"depth":193,"text":36652},{"id":36660,"depth":193,"text":36666},{"id":36696,"depth":193,"text":36702},{"id":36738,"depth":193,"text":36744},{"id":36769,"depth":193,"text":36775},"content:blog:what-is-a-retail-media-network.md","blog/what-is-a-retail-media-network.md","blog/what-is-a-retail-media-network",{"loc":36557},{"_path":6874,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":36925,"description":36926,"publishDate":36927,"author":12,"ogImage":36928,"image":36928,"tags":36929,"body":36930,"_type":195,"_id":37184,"_source":197,"_file":37185,"_stem":37186,"_extension":200,"sitemap":37187},"What is Data Sharing? A Guide to Improving Internal Data Accessibility","It is becoming a business necessity to share data seamlessly across internal departments. Learn how you can improve data sharing across your organization.","2022-05-11 18:58:28","/img/blog/2022/05/04-5.png",[],{"type":17,"children":36931,"toc":37182},[36932,36937,36947,36956,36961,36966,36971,36980,36992,36997,37002,37011,37016,37021,37026,37047,37084,37093,37103,37115,37126,37137,37142,37151,37160,37165],{"type":20,"tag":21,"props":36933,"children":36934},{},[36935],{"type":25,"value":36936},"Whether you need to distribute data across a large organization or need to augment your internal data with outside data sources to gain better insights, data sharing is an increasingly important component of a successful business.",{"type":20,"tag":21,"props":36938,"children":36939},{},[36940,36945],{"type":20,"tag":44,"props":36941,"children":36943},{"href":15570,"rel":36942},[538],[36944],{"type":25,"value":15574},{"type":25,"value":36946},", data sharing is a “business necessity to accelerate digital business” and companies that promote data sharing will outperform their peers on most business value metrics. In fact, a recent Gartner study found that data professionals who share data externally generate about three times more measurable economic benefit.",{"type":20,"tag":28,"props":36948,"children":36950},{"id":36949},"what-is-data-sharing",[36951],{"type":20,"tag":33,"props":36952,"children":36953},{},[36954],{"type":25,"value":36955},"What is data sharing?",{"type":20,"tag":21,"props":36957,"children":36958},{},[36959],{"type":25,"value":36960},"In a nutshell, data sharing is the act of making data available to other individuals or groups within an organization. Data sharing as a technology makes it possible for data to be easily distributed across an organization.",{"type":20,"tag":21,"props":36962,"children":36963},{},[36964],{"type":25,"value":36965},"Companies that share data make better informed business decisions, provide better clarity across their organizations, and unlock new revenue stream possibilities. However, many organizations discourage data sharing and place restrictions on access to data sources, which limits the capability of data to reach its full potential.",{"type":20,"tag":21,"props":36967,"children":36968},{},[36969],{"type":25,"value":36970},"Restricting access to data is like blocking important communication between departments of an organization. It’s forcing companies to operate in the dark, when instead they could be connected enough to see better strategies and solutions. Companies must adopt the mindset that data is meant to be shared in an organization and that it is a necessity that data is accessible at all times to those who need it.",{"type":20,"tag":28,"props":36972,"children":36974},{"id":36973},"why-is-data-sharing-important",[36975],{"type":20,"tag":33,"props":36976,"children":36977},{},[36978],{"type":25,"value":36979},"Why is data sharing important?",{"type":20,"tag":21,"props":36981,"children":36982},{},[36983,36985,36990],{"type":25,"value":36984},"Organizations require more and more data to solve problems, refine operations, and make the best informed decisions for growth and success. However, data can get complicated. An enormous amount of data is being generated all of the time—roughly 2.5 quintillion bytes of data every day. “Sharing is caring” when it comes to all of that data. Companies need a way to make sense of and access ",{"type":20,"tag":2347,"props":36986,"children":36987},{},[36988],{"type":25,"value":36989},"all",{"type":25,"value":36991}," of the data that is generating, or else the true potential of data will be lost.",{"type":20,"tag":21,"props":36993,"children":36994},{},[36995],{"type":25,"value":36996},"With so much information and so many new avenues to make use of that information, data is becoming a language that everyone in the organization must understand in order to operate as efficiently and effectively as possible. It is the guiding light that data science, marketing, operations, planning, and all other aspects of a business should be analyzing and following.",{"type":20,"tag":21,"props":36998,"children":36999},{},[37000],{"type":25,"value":37001},"In order for that to be a reality, that data must be accessible and understandable for everyone. Everyone within an organization needs to be fully aware and invested in not only their department’s data, but other departments as well, or else many important discoveries and insights might never be made.",{"type":20,"tag":28,"props":37003,"children":37005},{"id":37004},"the-challenges-of-data-sharing",[37006],{"type":20,"tag":33,"props":37007,"children":37008},{},[37009],{"type":25,"value":37010},"The challenges of data sharing",{"type":20,"tag":21,"props":37012,"children":37013},{},[37014],{"type":25,"value":37015},"If data sharing is so beneficial, why are some organizations not implementing the practice? It comes down to a few hurdles.",{"type":20,"tag":21,"props":37017,"children":37018},{},[37019],{"type":25,"value":37020},"The first big challenge is changing the culture around data sharing. Organizations have traditionally embodied a data “ownership” culture as opposed to a data “sharing” culture, which has made it difficult for some companies to shift mindsets. Fostering a data sharing mindset that promotes collaboration between teams and departments can be a slow burn if departments aren’t used to operating that way. They need an easy and seamless system of data sharing to get the ball rolling in the right direction.",{"type":20,"tag":21,"props":37022,"children":37023},{},[37024],{"type":25,"value":37025},"That brings us to the second big challenge: formatting data so that all departments can access and use it. Data is formatted differently across the various departments of an organization, with each department speaking its own data “language.” One department’s data might not be decipherable by another department’s programs and systems. It can be a tiresome and convoluted process to transfer data from one department or system to another. Data needs to be re-formatted by data engineers to be understandable and usable, which can often take days or even weeks.",{"type":20,"tag":21,"props":37027,"children":37028},{},[37029,37031,37037,37039,37045],{"type":25,"value":37030},"The last big challenge is findability. Even if organizations have all of their data accessible in one place, it can be a meticulous process sifting through all of that data to find the points that are relevant to your department. If a marketing department is trying to acquire data from a sales department, for example, they might only be interested in a certain product’s sales or in the ",{"type":20,"tag":44,"props":37032,"children":37034},{"href":15261,"rel":37033},[538],[37035],{"type":25,"value":37036},"purchasing behavior",{"type":25,"value":37038}," of a specific ",{"type":20,"tag":44,"props":37040,"children":37042},{"href":8394,"rel":37041},[538],[37043],{"type":25,"value":37044},"demographic",{"type":25,"value":37046},". It can be difficult to find that exact data in a labyrinth of other data if it isn’t organized or packaged in an easily findable way.",{"type":20,"tag":21,"props":37048,"children":37049},{},[37050,37052,37057,37059,37063,37064,37070,37071,37076,37078,37083],{"type":25,"value":37051},"However, as data technology improves and companies realize the importance of data sharing, these traditional barriers and challenges are crumbling. The latest technology and software available today enables organizations to store data in flexible ",{"type":20,"tag":44,"props":37053,"children":37054},{"href":350},[37055],{"type":25,"value":37056},"data lakes",{"type":25,"value":37058},", automate ",{"type":20,"tag":44,"props":37060,"children":37061},{"href":15347},[37062],{"type":25,"value":17725},{"type":25,"value":152},{"type":20,"tag":44,"props":37065,"children":37067},{"href":17626,"rel":37066},[538],[37068],{"type":25,"value":37069},"transform and transfer data seamlessly",{"type":25,"value":10130},{"type":20,"tag":44,"props":37072,"children":37073},{"href":823},[37074],{"type":25,"value":37075},"package data into usable products",{"type":25,"value":37077},". Much of this is made possible through a new solution: ",{"type":20,"tag":44,"props":37079,"children":37080},{"href":558},[37081],{"type":25,"value":37082},"data commerce platforms",{"type":25,"value":191},{"type":20,"tag":28,"props":37085,"children":37087},{"id":37086},"using-data-collaboration-platforms-for-internal-data-collaboration",[37088],{"type":20,"tag":33,"props":37089,"children":37090},{},[37091],{"type":25,"value":37092},"Using data collaboration platforms for internal data collaboration",{"type":20,"tag":21,"props":37094,"children":37095},{},[37096,37097,37101],{"type":25,"value":769},{"type":20,"tag":44,"props":37098,"children":37099},{"href":558},[37100],{"type":25,"value":776},{"type":25,"value":37102}," provides software that enables the cleaning, organization, and transference of data seamlessly. These platforms automate the most time- and labor-intensive aspects of data sharing, such as cleaning and standardizing the data. They also simplify the ins and outs of data sharing so that it is easy for anyone within an organization to master, even if they have no technical expertise or coding experience. Using a data collaboration platform, an organization can set up internal data collaboration between departments and create an easily usable and accessible data ecosystem for their company.",{"type":20,"tag":21,"props":37104,"children":37105},{},[37106,37108,37113],{"type":25,"value":37107},"New software like ",{"type":20,"tag":44,"props":37109,"children":37111},{"href":17626,"rel":37110},[538],[37112],{"type":25,"value":1908},{"type":25,"value":37114}," makes it possible for data collaboration platforms to take data as it is natively stored and “translate” that data to be understood by external systems. You won’t need to get data engineers on the job of reformatting data, since it will be automatically formatted for you right out of the box. Instead of waiting days or weeks for data to be reformatted and transferred, it can take mere hours to get the data you need in the exact format you need.",{"type":20,"tag":21,"props":37116,"children":37117},{},[37118,37120,37124],{"type":25,"value":37119},"Other technologies available through data collaboration platforms make it possible to organize data so that it is easily discoverable. Thanks to apps like ",{"type":20,"tag":44,"props":37121,"children":37122},{"href":566},[37123],{"type":25,"value":340},{"type":25,"value":37125},", departments can organize their data into “products” and put them into “shops,” making it easy to browse through and find datasets in a familiar ecommerce experience.",{"type":20,"tag":21,"props":37127,"children":37128},{},[37129,37131,37135],{"type":25,"value":37130},"Other apps, like ",{"type":20,"tag":44,"props":37132,"children":37133},{"href":572},[37134],{"type":25,"value":575},{"type":25,"value":37136},", use a simple step-by-step process to find and acquire only the precise data points that match your specific needs, based on your custom filters and parameters. These types of software make it simple and straightforward to share only relevant and actionable data, as opposed to having to comb through tons of unusable data.",{"type":20,"tag":21,"props":37138,"children":37139},{},[37140],{"type":25,"value":37141},"Data collaboration platforms are easy to use, highly flexible, and also safe and secure. Organizations can set their preferred access limits, allowing only members of their organization to be able to access and transfer data between each other, creating a safe and easily navigable data ecosystem. Once data sharing is made this simple and secure, it will become the norm and data will flow seamlessly across your organization.",{"type":20,"tag":28,"props":37143,"children":37145},{"id":37144},"use-narratives-data-collaboration-platform-for-easy-fast-and-seamless-data-sharing",[37146],{"type":20,"tag":33,"props":37147,"children":37148},{},[37149],{"type":25,"value":37150},"Use Narrative’s data collaboration platform for easy, fast, and seamless data sharing",{"type":20,"tag":21,"props":37152,"children":37153},{},[37154,37158],{"type":20,"tag":44,"props":37155,"children":37156},{"href":558},[37157],{"type":25,"value":561},{"type":25,"value":37159}," provides the tools and workflows that make transferring data easier and more efficient than ever before. Anyone within an organization (even your intern) will be able to use Narrative’s apps to find and acquire precise data or create actionable data products with no technical knowledge required.",{"type":20,"tag":21,"props":37161,"children":37162},{},[37163],{"type":25,"value":37164},"All cleaning and standardizing of data is taken care of on the backend, so that your data engineers don’t need to waste their time, and the latest technologies make it easy to simply point and click your way to the data you need. Narrative’s custom filters, automatic deduplication, and user-friendly interface make acquiring data as seamless and precise as possible, so that anyone within your organization can access the data they need at the drop of a hat.",{"type":20,"tag":21,"props":37166,"children":37167},{},[37168,37173,37174],{"type":20,"tag":33,"props":37169,"children":37170},{},[37171],{"type":25,"value":37172},"Want to set up a data collaboration ecosystem for your organization?",{"type":25,"value":177},{"type":20,"tag":44,"props":37175,"children":37176},{"href":180},[37177],{"type":20,"tag":33,"props":37178,"children":37179},{},[37180],{"type":25,"value":37181},"Contact our team of experts to get started!",{"title":8,"searchDepth":193,"depth":193,"links":37183},[],"content:blog:what-is-data-sharing.md","blog/what-is-data-sharing.md","blog/what-is-data-sharing",{"loc":6874},{"_path":37189,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":37190,"description":37191,"publishDate":37192,"author":12,"ogImage":37193,"image":37193,"tags":37194,"body":37195,"_type":195,"_id":37426,"_source":197,"_file":37427,"_stem":37428,"_extension":200,"sitemap":37429},"/blog/what-is-geofencing","What is Geofencing? How to Effectively Use Geofences","In this quick guide, we explain what geofencing is and how your organization can use it to improve marketing and sales, customer experience, and more.","2022-09-15 18:21:28","/img/blog/2022/09/howmuchdataworth-3.png",[15],{"type":17,"children":37196,"toc":37424},[37197,37209,37214,37223,37228,37240,37249,37263,37274,37283,37291,37296,37301,37313,37321,37331,37336,37344,37356,37363,37368,37376,37393,37407],{"type":20,"tag":21,"props":37198,"children":37199},{},[37200,37202,37207],{"type":25,"value":37201},"Where is your audience going and how often are they going there? Which stores or locations do your customers prefer and which ones do they avoid? What are peak times and seasons for areas of interest? Getting answers to these questions is just the tip of the iceberg when it comes to the wealth of information that ",{"type":20,"tag":44,"props":37203,"children":37204},{"href":12300},[37205],{"type":25,"value":37206},"geofence data",{"type":25,"value":37208}," can provide for organizations.",{"type":20,"tag":21,"props":37210,"children":37211},{},[37212],{"type":25,"value":37213},"Geofencing is an incredibly powerful strategy that can be used to improve marketing and sales, customer experience, security and safety, and the overall performance of any organization. Knowing the comings and goings of your audience can help you make better predictions, negotiations, and decisions. In this quick guide, we’ll explain what geofencing is, how your organization can use it to improve a variety of areas, and how you can obtain the geofence data you need to succeed.",{"type":20,"tag":28,"props":37215,"children":37217},{"id":37216},"what-is-geofencing",[37218],{"type":20,"tag":33,"props":37219,"children":37220},{},[37221],{"type":25,"value":37222},"What is geofencing?",{"type":20,"tag":21,"props":37224,"children":37225},{},[37226],{"type":25,"value":37227},"A geofence is a virtual parameter of a real-world geographical area. A geofence can be a predefined set of boundaries, such as a county, or it can be a radius around a particular location, such as the surrounding area of a store. For instance, you might choose to put a geofence around Los Angeles County to track who commutes in and out of that area. Or you might track the one-mile radius of a particular Starbucks location to see how long customers spend in that store and how often they visit the neighboring businesses.",{"type":20,"tag":21,"props":37229,"children":37230},{},[37231,37233,37238],{"type":25,"value":37232},"“Geofencing” usually refers to a location-based service that uses GPS or RFID technology to create a virtual barrier around a particular area. When a user crosses this barrier, they trigger an alert that can be sent to their device, email, or a third-party system. The ",{"type":20,"tag":44,"props":37234,"children":37236},{"href":30914,"rel":37235},[538],[37237],{"type":25,"value":15288},{"type":25,"value":37239}," generated from users entering and exiting a geofence area can be used to improve a variety of organizational functions, such as security, planning, marketing, customer experience, and more.",{"type":20,"tag":28,"props":37241,"children":37243},{"id":37242},"what-kind-of-data-does-geofencing-generate",[37244],{"type":20,"tag":33,"props":37245,"children":37246},{},[37247],{"type":25,"value":37248},"What kind of data does geofencing generate?",{"type":20,"tag":21,"props":37250,"children":37251},{},[37252,37254,37261],{"type":25,"value":37253},"Data generated from geofences is created from two location components - the location of the point of interest or the area that is fenced, and the location of the device that interacts with the fence. Generally, devices that move in and out of geofences are ",{"type":20,"tag":44,"props":37255,"children":37258},{"href":37256,"rel":37257},"https://www.narrative.io/data-types/device-characteristic-data",[538],[37259],{"type":25,"value":37260},"mobile devices that calculate their own locations",{"type":25,"value":37262}," using GPS, Wi-Fi, cell towers, or Beacons. The virtual barrier that surrounds the real-life location of interest is generated in a software-based geographical information system (GIS).",{"type":20,"tag":21,"props":37264,"children":37265},{},[37266,37268,37272],{"type":25,"value":37267},"By collecting the ",{"type":20,"tag":44,"props":37269,"children":37270},{"href":5530},[37271],{"type":25,"value":15288},{"type":25,"value":37273}," that is generated from those two components and analyzing it, companies can identify and target common behaviors for mobile devices that interact with a geofence and take corresponding actions. This can be useful for a wide range of initiatives.",{"type":20,"tag":28,"props":37275,"children":37277},{"id":37276},"how-companies-can-use-geofencing",[37278],{"type":20,"tag":33,"props":37279,"children":37280},{},[37281],{"type":25,"value":37282},"How companies can use geofencing",{"type":20,"tag":21,"props":37284,"children":37285},{},[37286],{"type":20,"tag":33,"props":37287,"children":37288},{},[37289],{"type":25,"value":37290},"Location-based marketing",{"type":20,"tag":21,"props":37292,"children":37293},{},[37294],{"type":25,"value":37295},"Businesses can more effectively reach their target audience when they know where their audience is, where they have been, and where they are going. With geofence data, companies can better understand customer behavior and how customers interact with their products or services. This deeper understanding of your audience’s day-to-day movement leads to more precise targeted notifications and messaging, allowing your customers to receive location-specific deals, promotions, and reminders.",{"type":20,"tag":21,"props":37297,"children":37298},{},[37299],{"type":25,"value":37300},"For instance, if you are a coffee bean supplier and you can see that your customers are passing the same coffee shop every day, you might partner with that coffee shop to carry your coffee beans, maximizing the chance that your customers will find their favorite coffee in a conveniently located shop. Additionally, you might send your customers a notification when they pass that coffee shop that lets them know they can buy two bags of their favorite coffee for the price of one if they patronize that coffee shop. In this scenario, the customer gets a great deal on coffee they already love, and your business and the coffee shop you’ve partnered with make successful sales.",{"type":20,"tag":21,"props":37302,"children":37303},{},[37304,37311],{"type":20,"tag":44,"props":37305,"children":37308},{"href":37306,"rel":37307},"https://www.marketingdive.com/news/burger-king-trolls-mcdonalds-with-geolocation-stunt/543658/",[538],[37309],{"type":25,"value":37310},"Burger King made clever use of mobile geofencing",{"type":25,"value":37312}," when they rolled out a \"Whopper Detour\" in 2018. Smartphone users who went within 600 feet of most McDonald’s locations were given a promotion that allowed them to order a Burger King Whopper sandwich for a penny from the Burger King app. After placing their one-cent burger order, customers were navigated away from McDonald's and toward the nearest Burger King to pick up their food. They were able to employ this genius marketing strategy because of location data and setting up geofences around McDonald's establishments.",{"type":20,"tag":21,"props":37314,"children":37315},{},[37316],{"type":20,"tag":33,"props":37317,"children":37318},{},[37319],{"type":25,"value":37320},"Location data-gathering",{"type":20,"tag":21,"props":37322,"children":37323},{},[37324,37329],{"type":20,"tag":44,"props":37325,"children":37326},{"href":12300},[37327],{"type":25,"value":37328},"Geofence data",{"type":25,"value":37330}," helps greatly when it comes to marketing attribution. “Attribution” is the practice of evaluating the marketing touchpoints a consumer encounters on their path to purchase. The goal of attribution is to determine which channels and messages had the greatest impact on a customer’s decision to convert or to take the steps toward conversion.",{"type":20,"tag":21,"props":37332,"children":37333},{},[37334],{"type":25,"value":37335},"Using this data, advertisers are able to correlate actions with ad-campaign exposure at scale. For instance, you might be able to determine that 50% of the devices who were exposed to your billboard advertisement on their work commute visited your brick-and-mortar location within a week. That helps you analyze the effectiveness of your advertisement and adjust your marketing efforts accordingly.",{"type":20,"tag":21,"props":37337,"children":37338},{},[37339],{"type":20,"tag":33,"props":37340,"children":37341},{},[37342],{"type":25,"value":37343},"App personalization",{"type":20,"tag":21,"props":37345,"children":37346},{},[37347,37349,37354],{"type":25,"value":37348},"The success of an app and the rate of an app’s engagement is heavily dependent on personalization. Most apps are tailored to an individual user in order to provide the best possible experience. Understanding device location, movements and surroundings is one of the most important components to providing a relevant user experience. Geofencing helps tailor app experience to the frequented ",{"type":20,"tag":44,"props":37350,"children":37351},{"href":5530},[37352],{"type":25,"value":37353},"locations of a device",{"type":25,"value":37355},", enabling users to receive the most relevant content and sort results based on where they are, where they have been, and where they are likely to go. This leads to more app engagement, a better customer experience, higher conversions, and increased customer loyalty.",{"type":20,"tag":21,"props":37357,"children":37358},{},[37359],{"type":20,"tag":33,"props":37360,"children":37361},{},[37362],{"type":25,"value":31122},{"type":20,"tag":21,"props":37364,"children":37365},{},[37366],{"type":25,"value":37367},"Geofencing data can also be used to plan for store locations, conference locations, and event locations. If you can see where most of your audience is traveling to and from every day, you can see which areas they are most likely to gather in, shop in, dine in, etc. You might notice that a large chunk of your customer base frequents a particular mall and decide to open a brick-and-mortar location in that mall. Or you might plan a pop-up shop or event for a time period when your customers are most likely to walk by, such as when they are usually on their lunch breaks or when they are usually leaving work. Analyzing this data can help plan more strategically, reduce wasted spend, and increase revenue.",{"type":20,"tag":21,"props":37369,"children":37370},{},[37371],{"type":20,"tag":33,"props":37372,"children":37373},{},[37374],{"type":25,"value":37375},"Get geofence data with Buyer Studio",{"type":20,"tag":21,"props":37377,"children":37378},{},[37379,37381,37385,37387,37391],{"type":25,"value":37380},"Using Narrative’s self-service app ",{"type":20,"tag":44,"props":37382,"children":37383},{"href":572},[37384],{"type":25,"value":575},{"type":25,"value":37386},", it’s fast and easy to buy the exact ",{"type":20,"tag":44,"props":37388,"children":37389},{"href":12300},[37390],{"type":25,"value":37206},{"type":25,"value":37392}," that you need. Simply determine the geographic regions that best serve your use case and set completely customized geofences in your data order. There is no limit to the amount of geofences that you can create for your data purchases, giving you the freedom to explore and analyze as many fine-tuned regions as you need to.",{"type":20,"tag":21,"props":37394,"children":37395},{},[37396,37398,37405],{"type":25,"value":37397},"Buyer Studio is cutting-edge software that makes it possible to filter and buy customized datasets in ",{"type":20,"tag":44,"props":37399,"children":37402},{"href":37400,"rel":37401},"https://www.youtube.com/watch?v=LH0AYeuqutI",[538],[37403],{"type":25,"value":37404},"as little as one minute",{"type":25,"value":37406},". You won’t need data engineers or legal teams because everything is automated and regulated for you. It’s as easy and pointing and clicking through an array of datasets from multiple data providers. You can ingest all of the data you need from multiple providers at once, with your custom data package delivered to your preferred endpoint within hours.",{"type":20,"tag":21,"props":37408,"children":37409},{},[37410,37415,37416],{"type":20,"tag":33,"props":37411,"children":37412},{},[37413],{"type":25,"value":37414},"Find the custom geofence data you need today.",{"type":25,"value":177},{"type":20,"tag":44,"props":37417,"children":37418},{"href":180},[37419],{"type":20,"tag":33,"props":37420,"children":37421},{},[37422],{"type":25,"value":37423},"Our team is here to help you get started.",{"title":8,"searchDepth":193,"depth":193,"links":37425},[],"content:blog:what-is-geofencing.md","blog/what-is-geofencing.md","blog/what-is-geofencing",{"loc":37189},{"_path":19431,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":37431,"description":37432,"publishDate":37433,"author":28578,"ogImage":37434,"image":37434,"tags":37435,"body":37436,"_type":195,"_id":37767,"_source":197,"_file":37768,"_stem":37769,"_extension":200,"sitemap":37770},"What to Do When Your Cookies Are Taken Away","As browsers move to block of third-party cookies, brands must shift strategy.","2019-05-01 16:34:00","/img/blog/2019/05/cookies_lo-1.jpg",[4365,3098],{"type":17,"children":37437,"toc":37757},[37438,37455,37461,37466,37471,37476,37481,37487,37492,37506,37511,37517,37522,37528,37533,37538,37543,37549,37554,37559,37564,37569,37574,37586,37592,37604,37609,37615,37620,37625,37712,37717,37741],{"type":20,"tag":7566,"props":37439,"children":37440},{},[37441],{"type":20,"tag":21,"props":37442,"children":37443},{},[37444,37448,37449,37454],{"type":20,"tag":33,"props":37445,"children":37446},{},[37447],{"type":25,"value":7576},{"type":25,"value":7578},{"type":20,"tag":44,"props":37450,"children":37452},{"href":772,"rel":37451},[538],[37453],{"type":25,"value":7584},{"type":25,"value":191},{"type":20,"tag":223,"props":37456,"children":37458},{"id":37457},"as-browsers-move-to-block-of-third-party-cookies-brands-must-shift-strategy",[37459],{"type":25,"value":37460},"As browsers move to block of third-party cookies, brands must shift strategy",{"type":20,"tag":21,"props":37462,"children":37463},{},[37464],{"type":25,"value":37465},"The end (of cookies) is near! Winter is coming (for everyone that uses cookies)! Are you prepared for the doom that will surely ensue when cookies go away?!",{"type":20,"tag":21,"props":37467,"children":37468},{},[37469],{"type":25,"value":37470},"Well, hold on a second, what does this really mean?",{"type":20,"tag":21,"props":37472,"children":37473},{},[37474],{"type":25,"value":37475},"The death of the cookie may have been slightly overplayed (no, cookies are not going away, per se) however the usability of third party cookies has been threatened for awhile.",{"type":20,"tag":21,"props":37477,"children":37478},{},[37479],{"type":25,"value":37480},"There are different schools of thought around the extent of future changes to third party cookies on Chrome, but we saw ITP on Safari become very real, and iterating as we speak, so why should we not assume the same for Chrome?",{"type":20,"tag":1495,"props":37482,"children":37484},{"id":37483},"why-you-should-care",[37485],{"type":25,"value":37486},"Why you should care",{"type":20,"tag":21,"props":37488,"children":37489},{},[37490],{"type":25,"value":37491},"So you survived the first rounds of Safari ITP, why should you be thinking about it differently this time around?",{"type":20,"tag":21,"props":37493,"children":37494},{},[37495,37497,37504],{"type":25,"value":37496},"Looking at ",{"type":20,"tag":44,"props":37498,"children":37501},{"href":37499,"rel":37500},"https://www.statista.com/statistics/544400/market-share-of-internet-browsers-desktop/",[538],[37502],{"type":25,"value":37503},"market share by browser",{"type":25,"value":37505},", the scale and subsequent impact of third party cookies on Chrome is potentially much higher as Chrome adoption grows.",{"type":20,"tag":21,"props":37507,"children":37508},{},[37509],{"type":25,"value":37510},"Your first party cookies may still be usable, but without the ability to tie to and maintain to third party cookies, the marketing and advertising application of that data is far less viable. Not to mention, many companies license other technology to represent and manage their cookie space, such as a DMP, DSP, SSP, or ad server. The hard reality is that those are third party party cookie domains and will be subject to the same limitations as other third party cookies, regardless of whether you’re treating them as if they were first party.",{"type":20,"tag":1495,"props":37512,"children":37514},{"id":37513},"what-are-the-options",[37515],{"type":25,"value":37516},"What are the options?",{"type":20,"tag":21,"props":37518,"children":37519},{},[37520],{"type":25,"value":37521},"While it’s difficult to completely future-proof your business in this respect, there are some immediate steps you can take to prepare and help alleviate the potential impact, as an insurance policy, if you will.",{"type":20,"tag":223,"props":37523,"children":37525},{"id":37524},"_1-you-do-nothing",[37526],{"type":25,"value":37527},"1. You do nothing",{"type":20,"tag":21,"props":37529,"children":37530},{},[37531],{"type":25,"value":37532},"If you do not take any action, you risk losing your digital customer base.",{"type":20,"tag":21,"props":37534,"children":37535},{},[37536],{"type":25,"value":37537},"If you are an e-commerce company, you can retain purchasers, but what about users who went to your site but didn’t purchase? Your high value prospects are gone. What if you have a high low or no authentication business? Your digital customers are gone.",{"type":20,"tag":21,"props":37539,"children":37540},{},[37541],{"type":25,"value":37542},"You can hope that Chrome ITP will not happen, the same way you can hope that driving without auto insurance means you won’t get into an accident.",{"type":20,"tag":223,"props":37544,"children":37546},{"id":37545},"_2-you-integrate-with-an-identity-provider",[37547],{"type":25,"value":37548},"2. You integrate with an identity provider",{"type":20,"tag":21,"props":37550,"children":37551},{},[37552],{"type":25,"value":37553},"This is better than doing nothing, as it will retain your digital customer data, but there are a few considerations.",{"type":20,"tag":21,"props":37555,"children":37556},{},[37557],{"type":25,"value":37558},"Integrating with a third party identity provider has historically been seen as an easier way to adopt an identity solution, but it can be risky to build such a strategic foundation against an ID that is not your own, with technology that you can’t control.",{"type":20,"tag":21,"props":37560,"children":37561},{},[37562],{"type":25,"value":37563},"What happens if that company goes out of business? What happens if that company gets acquired or goes through other M&A activity? This isn’t out of the realm of possibility, as we saw AppNexus pull out of the ID Consortium when their acquisition was announced, despite being one of the original domains that was to be perpetually licensed for the consortium.",{"type":20,"tag":21,"props":37565,"children":37566},{},[37567],{"type":25,"value":37568},"This isn’t an accessory technology adding some bells and whistles; this is the underpinning for many different corporate uses and strategies. You wouldn’t put a $10,000 sound system in a Hertz rental car, would you? So why would you put your dev resources around a solution that you don’t own and control?",{"type":20,"tag":21,"props":37570,"children":37571},{},[37572],{"type":25,"value":37573},"While it is the main purpose of many identity providers to provide this information, it can also be risky to rely on another party to determine the corresponding linkages of your customers, and few identity providers allow you to validate supply against your own verified truth set.",{"type":20,"tag":21,"props":37575,"children":37576},{},[37577,37579,37584],{"type":25,"value":37578},"Even with 100% deterministic providers, do you have ",{"type":20,"tag":44,"props":37580,"children":37582},{"href":7980,"rel":37581},[538],[37583],{"type":25,"value":7984},{"type":25,"value":37585}," into the individual suppliers of said linkages? Would you buy a car insurance plan if you didn’t know what it covered?",{"type":20,"tag":223,"props":37587,"children":37589},{"id":37588},"_3-you-implement-your-own-native-stable-id",[37590],{"type":25,"value":37591},"3. You implement your own native stable ID",{"type":20,"tag":21,"props":37593,"children":37594},{},[37595,37597,37602],{"type":25,"value":37596},"While recognized as the ",{"type":20,"tag":44,"props":37598,"children":37599},{"href":19387},[37600],{"type":25,"value":37601},"gold standard of identity management",{"type":25,"value":37603},", standing up your own solution has historically been difficult to both build and maintain. This can be an intimidating task, with the question of where to even start. The good news is, it just got easier.",{"type":20,"tag":21,"props":37605,"children":37606},{},[37607],{"type":25,"value":37608},"The first thing you should do is ensure your less stable data is “backed up” to a more stable ID. In the context of cookies, this means taking your current cookie data and mapping it to a MAID or a hashed email, ideally both.",{"type":20,"tag":1495,"props":37610,"children":37612},{"id":37611},"narrative-can-help",[37613],{"type":25,"value":37614},"Narrative can help",{"type":20,"tag":21,"props":37616,"children":37617},{},[37618],{"type":25,"value":37619},"Narrative does not provide the stable ID—that should be your own—but we do provide the ability to automate the collection of identity data, making a task that previously required outsourcing easily doable in-house.",{"type":20,"tag":21,"props":37621,"children":37622},{},[37623],{"type":25,"value":37624},"Narrative enables you to:",{"type":20,"tag":2051,"props":37626,"children":37627},{},[37628,37672,37682,37692,37702],{"type":20,"tag":907,"props":37629,"children":37630},{},[37631,37636,37638,37641,37642,37645,37647,37650,37655,37657,37660,37665,37667,37670],{"type":20,"tag":33,"props":37632,"children":37633},{},[37634],{"type":25,"value":37635},"Back up your less stable cookie data to a more stable, but universally applicable, ID.",{"type":25,"value":37637}," With a more stable but universal ID, such as a MAID or a hashed email, the data is bi-directional, meaning you can map it to other pieces of information, or even back to a cookie if you need to.",{"type":20,"tag":2006,"props":37639,"children":37640},{},[],{"type":25,"value":3510},{"type":20,"tag":2006,"props":37643,"children":37644},{},[],{"type":25,"value":37646},"\nGood:** Back up your cookies to MAIDs",{"type":20,"tag":2006,"props":37648,"children":37649},{},[],{"type":20,"tag":33,"props":37651,"children":37652},{},[37653],{"type":25,"value":37654},"Better:",{"type":25,"value":37656}," Back up your cookies to hashed emails",{"type":20,"tag":2006,"props":37658,"children":37659},{},[],{"type":20,"tag":33,"props":37661,"children":37662},{},[37663],{"type":25,"value":37664},"Best:",{"type":25,"value":37666}," Back up your cookies to both MAIDs and hashed emails",{"type":20,"tag":2006,"props":37668,"children":37669},{},[],{"type":25,"value":37671},"This serves as a simple way to preserve your data, as well as a foundation for building your own stable ID. It’s irrefutable that first party data is the most valuable, so don’t let it slip away, including your cookies.",{"type":20,"tag":907,"props":37673,"children":37674},{},[37675,37680],{"type":20,"tag":33,"props":37676,"children":37677},{},[37678],{"type":25,"value":37679},"Validate individual identity suppliers based on your own truth set.",{"type":25,"value":37681}," Bring your own standards of accuracy and quality based on what you already know about your customer.",{"type":20,"tag":907,"props":37683,"children":37684},{},[37685,37690],{"type":20,"tag":33,"props":37686,"children":37687},{},[37688],{"type":25,"value":37689},"Have transparency down to the individual supplier level.",{"type":25,"value":37691}," Don’t get forced into buying from all suppliers in aggregate. Optimize your delivery by supplier instead.",{"type":20,"tag":907,"props":37693,"children":37694},{},[37695,37700],{"type":20,"tag":33,"props":37696,"children":37697},{},[37698],{"type":25,"value":37699},"Only pay for what you need.",{"type":25,"value":37701}," Using Narrative, you can buy from multiple suppliers, but receive de-duplicated data so you only pay once for exactly what you need. It’s great working with multiple identity data sources to maximize reach, however buying from each individually subjects you to buying provider overlap and overpaying for what you actually need.",{"type":20,"tag":907,"props":37703,"children":37704},{},[37705,37710],{"type":20,"tag":33,"props":37706,"children":37707},{},[37708],{"type":25,"value":37709},"Start organizing your own identity strategy.",{"type":25,"value":37711}," Now that your insurance policy is in place and your cookie data is preserved to a universally recognized format, you can take your time implementing a strategy that makes the most sense for your business.",{"type":20,"tag":21,"props":37713,"children":37714},{},[37715],{"type":25,"value":37716},"Once you back up your less-stable cookie data to a more stable ID, your data is retained, buying you valuable time to both figure out the ideal internal identity strategy and roll with the ever-changing speculation of what third party cookie usability will actually look like in practice.",{"type":20,"tag":21,"props":37718,"children":37719},{},[37720,37722,37726,37728,37732,37734,37739],{"type":25,"value":37721},"This is ",{"type":20,"tag":2347,"props":37723,"children":37724},{},[37725],{"type":25,"value":29270},{"type":25,"value":37727}," building a cross-device mapping which will only organize you the relationship of one ID to another. This is ",{"type":20,"tag":2347,"props":37729,"children":37730},{},[37731],{"type":25,"value":29270},{"type":25,"value":37733}," a cross-device graph which is simply a structure in which to make the data more retrievable. This ",{"type":20,"tag":2347,"props":37735,"children":37736},{},[37737],{"type":25,"value":37738},"is",{"type":25,"value":37740}," providing you the ability to retain your valuable first party data, no matter where it lives and in what form.",{"type":20,"tag":21,"props":37742,"children":37743},{},[37744],{"type":20,"tag":33,"props":37745,"children":37746},{},[37747,37749,37755],{"type":25,"value":37748},"Learn how ",{"type":20,"tag":44,"props":37750,"children":37752},{"href":772,"rel":37751},[538],[37753],{"type":25,"value":37754},"Narrative's Acquire platform",{"type":25,"value":37756}," can help you build your own native identity solution.",{"title":8,"searchDepth":193,"depth":193,"links":37758},[37759,37760,37761,37766],{"id":37457,"depth":380,"text":37460},{"id":37483,"depth":193,"text":37486},{"id":37513,"depth":193,"text":37516,"children":37762},[37763,37764,37765],{"id":37524,"depth":380,"text":37527},{"id":37545,"depth":380,"text":37548},{"id":37588,"depth":380,"text":37591},{"id":37611,"depth":193,"text":37614},"content:blog:what-to-do-when-your-cookies-are-taken-away.md","blog/what-to-do-when-your-cookies-are-taken-away.md","blog/what-to-do-when-your-cookies-are-taken-away",{"loc":19431},{"_path":37772,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":37773,"description":37774,"publishDate":37775,"author":1927,"ogImage":37776,"image":37776,"tags":37777,"authorSlug":1932,"body":37779,"_type":195,"_id":38198,"_source":197,"_file":38199,"_stem":38200,"_extension":200,"sitemap":38201},"/blog/why-cdps-need-composable-identity","Can Your CDP Alone Manage Identity? Why Retail Media Needs Composable Identity to Scale","Customer data platforms are great at managing owned data—but retail media networks need more. This post breaks down why identity collaboration is essential for scaling RMNs, and how Composable Identity extends your CDP, not replaces it.","2025-06-12T11:13:30.000Z","/img/blog/2025/06/cdp-and-identity-blog.png",[1262,1263,1264,37778,5680,27645],"CDP",{"type":17,"children":37780,"toc":38188},[37781,37786,37791,37799,37804,37813,37818,37836,37841,37859,37871,37880,37885,37896,37901,37910,37915,37933,37938,37947,37952,37961,37973,37982,37987,37992,38004,38009,38039,38044,38067,38076,38081,38086,38104,38109,38127,38132,38150,38159,38171,38176],{"type":20,"tag":21,"props":37782,"children":37783},{},[37784],{"type":25,"value":37785},"Retail media networks (RMNs) have quickly established themselves as one of the most powerful channels in digital advertising. With access to high-intent shopper data, the promise of closed-loop measurement, and direct relationships with consumers, RMNs offer advertisers the kind of performance marketing once only found on search and social platforms.",{"type":20,"tag":21,"props":37787,"children":37788},{},[37789],{"type":25,"value":37790},"As retailers look to unlock this value, many start by investing in a customer data platform (CDP). And that makes sense: CDPs are purpose-built to unify first-party data and make it available for targeting, personalization, and analytics. But here’s the catch:",{"type":20,"tag":21,"props":37792,"children":37793},{},[37794],{"type":20,"tag":33,"props":37795,"children":37796},{},[37797],{"type":25,"value":37798},"CDPs are designed to organize owned data. Retail media networks run on shared data.",{"type":20,"tag":21,"props":37800,"children":37801},{},[37802],{"type":25,"value":37803},"This difference is subtle, but foundational. The RMNs that succeed over the next five years will be the ones that can collaborate—fluidly, securely, and at scale—with brand partners, data providers, and measurement platforms. To do that, they need more than just a CDP. They need Composable Identity.",{"type":20,"tag":223,"props":37805,"children":37807},{"id":37806},"what-cdps-do-well-and-where-they-fall-short",[37808],{"type":20,"tag":33,"props":37809,"children":37810},{},[37811],{"type":25,"value":37812},"What CDPs Do Well (and Where They Fall Short)",{"type":20,"tag":21,"props":37814,"children":37815},{},[37816],{"type":25,"value":37817},"CDPs excel at creating unified profiles within a single enterprise. They help you:",{"type":20,"tag":903,"props":37819,"children":37820},{},[37821,37826,37831],{"type":20,"tag":907,"props":37822,"children":37823},{},[37824],{"type":25,"value":37825},"Stitch together on-site and transactional behaviors.",{"type":20,"tag":907,"props":37827,"children":37828},{},[37829],{"type":25,"value":37830},"Resolve known and anonymous identities within your own ecosystem.",{"type":20,"tag":907,"props":37832,"children":37833},{},[37834],{"type":25,"value":37835},"Create audience segments for activation in ad platforms or email tools.",{"type":20,"tag":21,"props":37837,"children":37838},{},[37839],{"type":25,"value":37840},"But CDPs weren’t built to handle:",{"type":20,"tag":903,"props":37842,"children":37843},{},[37844,37849,37854],{"type":20,"tag":907,"props":37845,"children":37846},{},[37847],{"type":25,"value":37848},"Identity resolution across multiple, external identity spaces.",{"type":20,"tag":907,"props":37850,"children":37851},{},[37852],{"type":25,"value":37853},"Governed collaboration with third-party data owners.",{"type":20,"tag":907,"props":37855,"children":37856},{},[37857],{"type":25,"value":37858},"Dynamic permissioning and usage controls on externally sourced data.",{"type":20,"tag":21,"props":37860,"children":37861},{},[37862,37864,37869],{"type":25,"value":37863},"In short, CDPs were not designed to manage identity in a multi-party environment—which is ",{"type":20,"tag":2347,"props":37865,"children":37866},{},[37867],{"type":25,"value":37868},"exactly",{"type":25,"value":37870}," the environment RMNs operate in.",{"type":20,"tag":223,"props":37872,"children":37874},{"id":37873},"composable-identity-the-missing-layer-for-collaboration",[37875],{"type":20,"tag":33,"props":37876,"children":37877},{},[37878],{"type":25,"value":37879},"Composable Identity: The Missing Layer for Collaboration",{"type":20,"tag":21,"props":37881,"children":37882},{},[37883],{"type":25,"value":37884},"Composable Identity is an architectural approach to identity resolution that emphasizes interoperability, modularity, and control. Instead of locking identity inside a single system, it treats identity as an extensible, flexible layer—one that can be configured and adapted to work across internal and external datasets.",{"type":20,"tag":21,"props":37886,"children":37887},{},[37888,37890,37894],{"type":25,"value":37889},"At Narrative, we’ve built Composable Identity around ",{"type":20,"tag":33,"props":37891,"children":37892},{},[37893],{"type":25,"value":1908},{"type":25,"value":37895},"—our flexible, customizable translation layer that allows any party to bring their own identifiers to the table and still match, resolve, and enrich data across environments.",{"type":20,"tag":21,"props":37897,"children":37898},{},[37899],{"type":25,"value":37900},"This approach is ideal for RMNs because it solves several core challenges CDPs alone can’t address:",{"type":20,"tag":223,"props":37902,"children":37904},{"id":37903},"_1-multi-party-identity-resolution",[37905],{"type":20,"tag":33,"props":37906,"children":37907},{},[37908],{"type":25,"value":37909},"1. 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In fact, many RMNs already have CDPs—or are actively considering implementing one. 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They’ll win by enabling ",{"type":20,"tag":2347,"props":38165,"children":38166},{},[38167],{"type":25,"value":38168},"more partners",{"type":25,"value":38170}," to collaborate more easily, with more precision, and less risk.",{"type":20,"tag":21,"props":38172,"children":38173},{},[38174],{"type":25,"value":38175},"That requires an identity layer that goes beyond the boundaries of a single enterprise. It requires something modular. Flexible. Transparent. 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When data is scattered across incompatible systems, platforms, or formats, it becomes nearly impossible to connect the dots. This lack of cohesion results in inefficiencies like redundant efforts, delayed decision-making, and missed opportunities to act on valuable insights. For example, without unified data, identity resolution can falter, leading to incomplete customer profiles and ineffective personalization. Similarly, geolocation trends may remain hidden, and audience targeting becomes a guessing game. The result? Increased costs, slower time-to-market, and diminished ROI.",{"type":20,"tag":21,"props":38231,"children":38232},{},[38233,38235,38245],{"type":25,"value":38234},"As we’ve explored in our ",{"type":20,"tag":44,"props":38236,"children":38239},{"href":38237,"rel":38238},"https://www.narrative.io/blog",[538],[38240],{"type":20,"tag":33,"props":38241,"children":38242},{},[38243],{"type":25,"value":38244},"previous blog posts",{"type":25,"value":38246},", Narrative’s Rosetta Stone technology serves as the crucial bridge, seamlessly unifying disparate datasets and unlocking their full potential. Powered by AI-driven schema harmonization, Rosetta Stone enables organizations to effortlessly work with diverse data sources, eliminating the need for costly and time-consuming manual integration. 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By facilitating seamless data integration and collaboration, businesses can unlock the full potential of their data, driving informed decision-making and strategic growth.",{"title":8,"searchDepth":193,"depth":193,"links":38379},[38380,38381],{"id":38218,"depth":193,"text":38221},{"id":8,"depth":193,"text":8},"content:blog:why-framented-data-is-holding-you-back.md","blog/why-framented-data-is-holding-you-back.md","blog/why-framented-data-is-holding-you-back",{"loc":38203},{"_path":38387,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":38388,"description":38389,"publishDate":38390,"author":3094,"ogImage":38391,"image":38391,"tags":38392,"authorSlug":3099,"body":38394,"_type":195,"_id":38940,"_source":197,"_file":38941,"_stem":38942,"_extension":200,"sitemap":38943},"/blog/without-identity-your-analytics-are-fiction","Your Analytics Are Lying to You (And It's Your Own Fault)","Most analytics problems start with broken identity. If you can’t connect people across devices, channels, and behaviors, your insights aren’t just incomplete—they’re wrong. Composable identity gives you the power to build smarter, clearer, and truly actionable data foundations.","2025-04-30T12:33:30.000Z","/img/blog/2025/04/identity-and-analytics-blog.png",[1262,1263,1264,5680,38393],"data analytics",{"type":17,"children":38395,"toc":38932},[38396,38401,38420,38430,38435,38441,38446,38451,38461,38500,38505,38511,38516,38521,38526,38531,38554,38559,38564,38569,38574,38579,38584,38589,38594,38599,38611,38616,38621,38626,38631,38636,38641,38655,38660,38670,38679,38688,38697,38702,38707,38730,38735,38741,38753,38758,38763,38768,38773,38778,38783,38801,38809,38814,38819,38837,38842,38847,38852,38864,38870,38875,38880,38885,38908,38913,38918],{"type":20,"tag":21,"props":38397,"children":38398},{},[38399],{"type":25,"value":38400},"If you’re running analytics without a strong identity layer, I’ve got bad news: your data isn’t just incomplete—it’s straight-up lying to you.",{"type":20,"tag":21,"props":38402,"children":38403},{},[38404,38406,38411,38413,38418],{"type":25,"value":38405},"You’re not seeing ",{"type":20,"tag":2347,"props":38407,"children":38408},{},[38409],{"type":25,"value":38410},"less",{"type":25,"value":38412}," of the picture. You’re seeing the ",{"type":20,"tag":2347,"props":38414,"children":38415},{},[38416],{"type":25,"value":38417},"wrong",{"type":25,"value":38419}," picture. It’s like squinting at a Monet from two inches away and confidently declaring it’s a picture of a toaster.",{"type":20,"tag":21,"props":38421,"children":38422},{},[38423,38428],{"type":20,"tag":33,"props":38424,"children":38425},{},[38426],{"type":25,"value":38427},"Composable identity",{"type":25,"value":38429}," is how you fix that.",{"type":20,"tag":21,"props":38431,"children":38432},{},[38433],{"type":25,"value":38434},"It’s not a nice-to-have anymore. It’s the difference between making high-impact decisions and lighting your marketing budget on fire in the parking lot.",{"type":20,"tag":1495,"props":38436,"children":38438},{"id":38437},"what-makes-identity-composable",[38439],{"type":25,"value":38440},"What makes identity… composable?",{"type":20,"tag":21,"props":38442,"children":38443},{},[38444],{"type":25,"value":38445},"Composable identity means you don't buy some mystery-box identity graph from a vendor and pray it fits your business. You build your own.",{"type":20,"tag":21,"props":38447,"children":38448},{},[38449],{"type":25,"value":38450},"You choose the data you trust. You combine it how you want. You tailor it to your use cases—whether you’re mapping individuals, households, devices, or, hell, all of the above.",{"type":20,"tag":21,"props":38452,"children":38453},{},[38454,38455,38459],{"type":25,"value":9406},{"type":20,"tag":33,"props":38456,"children":38457},{},[38458],{"type":25,"value":5697},{"type":25,"value":38460}," offering gives you:",{"type":20,"tag":903,"props":38462,"children":38463},{},[38464,38474,38484],{"type":20,"tag":907,"props":38465,"children":38466},{},[38467,38472],{"type":20,"tag":33,"props":38468,"children":38469},{},[38470],{"type":25,"value":38471},"Control.",{"type":25,"value":38473}," Bring your own data, buy what you’re missing, and keep everything transparent.",{"type":20,"tag":907,"props":38475,"children":38476},{},[38477,38482],{"type":20,"tag":33,"props":38478,"children":38479},{},[38480],{"type":25,"value":38481},"Customization.",{"type":25,"value":38483}," Stitch identities your way—not the way some vendor thinks you should.",{"type":20,"tag":907,"props":38485,"children":38486},{},[38487,38492,38494,38498],{"type":20,"tag":33,"props":38488,"children":38489},{},[38490],{"type":25,"value":38491},"Automation.",{"type":25,"value":38493}," Build, maintain, and refresh your identity graph automatically (thanks to tools like ",{"type":20,"tag":33,"props":38495,"children":38496},{},[38497],{"type":25,"value":1908},{"type":25,"value":38499},", our data standardization engine).",{"type":20,"tag":21,"props":38501,"children":38502},{},[38503],{"type":25,"value":38504},"In short: You stop renting identity. You start owning it.",{"type":20,"tag":1495,"props":38506,"children":38508},{"id":38507},"without-identity-your-analytics-are-a-dumpster-fire",[38509],{"type":25,"value":38510},"Without Identity, Your Analytics Are a Dumpster Fire",{"type":20,"tag":21,"props":38512,"children":38513},{},[38514],{"type":25,"value":38515},"Let’s walk through what actually happens without proper identity stitching.",{"type":20,"tag":21,"props":38517,"children":38518},{},[38519],{"type":25,"value":38520},"Meet Sarah.",{"type":20,"tag":21,"props":38522,"children":38523},{},[38524],{"type":25,"value":38525},"Sarah is a loyal customer. She first browses your site on her laptop at work. Later, she clicks a retargeting ad on her phone while commuting home. That evening, she signs up for your loyalty program on her iPad. The next day, she buys in-store using the same credit card she uses for online orders... but a different email address.",{"type":20,"tag":21,"props":38527,"children":38528},{},[38529],{"type":25,"value":38530},"To you, without federated identity, Sarah looks like:",{"type":20,"tag":903,"props":38532,"children":38533},{},[38534,38539,38544,38549],{"type":20,"tag":907,"props":38535,"children":38536},{},[38537],{"type":25,"value":38538},"A random anonymous visitor.",{"type":20,"tag":907,"props":38540,"children":38541},{},[38542],{"type":25,"value":38543},"A \"new\" mobile prospect.",{"type":20,"tag":907,"props":38545,"children":38546},{},[38547],{"type":25,"value":38548},"A \"fresh\" loyalty signup.",{"type":20,"tag":907,"props":38550,"children":38551},{},[38552],{"type":25,"value":38553},"A separate in-store buyer.",{"type":20,"tag":21,"props":38555,"children":38556},{},[38557],{"type":25,"value":38558},"Four different profiles. Four different journeys. No connection.",{"type":20,"tag":21,"props":38560,"children":38561},{},[38562],{"type":25,"value":38563},"So when you pull analytics, it looks like you’re crushing acquisition. Your new visitor numbers are through the roof! Your loyalty program is \"taking off!\" Your store traffic is booming!",{"type":20,"tag":21,"props":38565,"children":38566},{},[38567],{"type":25,"value":38568},"Except none of that’s true.",{"type":20,"tag":21,"props":38570,"children":38571},{},[38572],{"type":25,"value":38573},"It’s just Sarah.",{"type":20,"tag":21,"props":38575,"children":38576},{},[38577],{"type":25,"value":38578},"One customer. Living four different fragmented lives in your data.",{"type":20,"tag":21,"props":38580,"children":38581},{},[38582],{"type":25,"value":38583},"Now try building audiences on that mess.",{"type":20,"tag":21,"props":38585,"children":38586},{},[38587],{"type":25,"value":38588},"You’re retargeting Sarah as if she’s a stranger.",{"type":20,"tag":21,"props":38590,"children":38591},{},[38592],{"type":25,"value":38593},"You’re sending loyalty emails to someone already opted in (maybe even under the wrong profile).",{"type":20,"tag":21,"props":38595,"children":38596},{},[38597],{"type":25,"value":38598},"You’re trying to measure campaign lift on a group of \"new\" buyers... but your campaign had nothing to do with them.",{"type":20,"tag":21,"props":38600,"children":38601},{},[38602,38604,38609],{"type":25,"value":38603},"You can’t build smart audiences because you can’t even ",{"type":20,"tag":2347,"props":38605,"children":38606},{},[38607],{"type":25,"value":38608},"see",{"type":25,"value":38610}," them correctly.",{"type":20,"tag":21,"props":38612,"children":38613},{},[38614],{"type":25,"value":38615},"And if you can't build the right audiences, what’s the point of measuring at all? Garbage in, garbage out.",{"type":20,"tag":21,"props":38617,"children":38618},{},[38619],{"type":25,"value":38620},"Analytics without strong identity resolution doesn't just screw up your reports—it wrecks your ability to act.",{"type":20,"tag":21,"props":38622,"children":38623},{},[38624],{"type":25,"value":38625},"Audience building? Useless.",{"type":20,"tag":21,"props":38627,"children":38628},{},[38629],{"type":25,"value":38630},"Attribution? Fantasy.",{"type":20,"tag":21,"props":38632,"children":38633},{},[38634],{"type":25,"value":38635},"Growth strategies? 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You’re seeing.",{"type":20,"tag":1495,"props":38736,"children":38738},{"id":38737},"example-retail-media-networks-a-60-billion-reality-check",[38739],{"type":25,"value":38740},"Example: Retail Media Networks (a $60 Billion Reality Check)",{"type":20,"tag":21,"props":38742,"children":38743},{},[38744,38746,38751],{"type":25,"value":38745},"Retail media networks are blowing up, but behind the scenes, everything hinges on ",{"type":20,"tag":33,"props":38747,"children":38748},{},[38749],{"type":25,"value":38750},"identity stitching",{"type":25,"value":38752},"—especially when it comes to connecting the messy world of offline and online behavior.",{"type":20,"tag":21,"props":38754,"children":38755},{},[38756],{"type":25,"value":38757},"Here’s the reality:",{"type":20,"tag":21,"props":38759,"children":38760},{},[38761],{"type":25,"value":38762},"Someone walks into a big-box store.",{"type":20,"tag":21,"props":38764,"children":38765},{},[38766],{"type":25,"value":38767},"They buy a product using a credit card tied to their loyalty account.",{"type":20,"tag":21,"props":38769,"children":38770},{},[38771],{"type":25,"value":38772},"Later, they see an ad from that retailer while browsing online.",{"type":20,"tag":21,"props":38774,"children":38775},{},[38776],{"type":25,"value":38777},"Then, they order a different product through the retailer’s mobile app.",{"type":20,"tag":21,"props":38779,"children":38780},{},[38781],{"type":25,"value":38782},"Without strong identity resolution, the retailer sees this as three separate people:",{"type":20,"tag":903,"props":38784,"children":38785},{},[38786,38791,38796],{"type":20,"tag":907,"props":38787,"children":38788},{},[38789],{"type":25,"value":38790},"A loyalty member who made an in-store purchase.",{"type":20,"tag":907,"props":38792,"children":38793},{},[38794],{"type":25,"value":38795},"A random website visitor who got served an ad.",{"type":20,"tag":907,"props":38797,"children":38798},{},[38799],{"type":25,"value":38800},"A mobile app user who made an online order.",{"type":20,"tag":21,"props":38802,"children":38803},{},[38804],{"type":20,"tag":33,"props":38805,"children":38806},{},[38807],{"type":25,"value":38808},"Three customers. Three \"audiences.\" Three different marketing campaigns.",{"type":20,"tag":21,"props":38810,"children":38811},{},[38812],{"type":25,"value":38813},"Except it’s all the same person.",{"type":20,"tag":21,"props":38815,"children":38816},{},[38817],{"type":25,"value":38818},"If you can’t stitch that offline-to-online journey together, your retail media reporting becomes a fantasy novel:",{"type":20,"tag":903,"props":38820,"children":38821},{},[38822,38827,38832],{"type":20,"tag":907,"props":38823,"children":38824},{},[38825],{"type":25,"value":38826},"You \"prove\" that your app ads are driving new buyers (they’re not).",{"type":20,"tag":907,"props":38828,"children":38829},{},[38830],{"type":25,"value":38831},"You \"build\" lookalike audiences based on junk signals.",{"type":20,"tag":907,"props":38833,"children":38834},{},[38835],{"type":25,"value":38836},"You \"attribute\" in-store purchases to campaigns that had nothing to do with them.",{"type":20,"tag":21,"props":38838,"children":38839},{},[38840],{"type":25,"value":38841},"Advertisers aren’t stupid. When your metrics don’t match real-world results, they pull their budgets faster than you can say \"omnichannel.\"",{"type":20,"tag":21,"props":38843,"children":38844},{},[38845],{"type":25,"value":38846},"Composable identity solves this by federating offline and online identifiers into a unified customer view—tying credit card data, loyalty programs, web behavior, and app activity into one living identity graph.",{"type":20,"tag":21,"props":38848,"children":38849},{},[38850],{"type":25,"value":38851},"Better stitching = better audiences = better measurement = bigger dollars.",{"type":20,"tag":21,"props":38853,"children":38854},{},[38855,38857,38862],{"type":25,"value":38856},"Retailers who get this right are commanding premium CPMs because they can ",{"type":20,"tag":2347,"props":38858,"children":38859},{},[38860],{"type":25,"value":38861},"prove",{"type":25,"value":38863}," the value of their audiences—not just guess.",{"type":20,"tag":1495,"props":38865,"children":38867},{"id":38866},"bottom-line-identity-is-the-new-analytics",[38868],{"type":25,"value":38869},"Bottom Line: Identity Is the New Analytics",{"type":20,"tag":21,"props":38871,"children":38872},{},[38873],{"type":25,"value":38874},"If you think you’re doing \"analytics\" without getting identity right first, you’re not doing analytics. You’re writing fiction.",{"type":20,"tag":21,"props":38876,"children":38877},{},[38878],{"type":25,"value":38879},"Composable identity doesn’t just clean things up—it makes it possible to see the world as it actually is, and act accordingly.",{"type":20,"tag":21,"props":38881,"children":38882},{},[38883],{"type":25,"value":38884},"Narrative can help you:",{"type":20,"tag":903,"props":38886,"children":38887},{},[38888,38893,38903],{"type":20,"tag":907,"props":38889,"children":38890},{},[38891],{"type":25,"value":38892},"Build your own identity graph.",{"type":20,"tag":907,"props":38894,"children":38895},{},[38896,38898,38902],{"type":25,"value":38897},"Make your data interoperable with ",{"type":20,"tag":33,"props":38899,"children":38900},{},[38901],{"type":25,"value":1908},{"type":25,"value":191},{"type":20,"tag":907,"props":38904,"children":38905},{},[38906],{"type":25,"value":38907},"Pipe clean, reliable data into everything you do—from dashboards to AI models to marketing engines.",{"type":20,"tag":21,"props":38909,"children":38910},{},[38911],{"type":25,"value":38912},"If you're serious about data-driven decision-making, composable identity isn’t optional. It’s survival.",{"type":20,"tag":21,"props":38914,"children":38915},{},[38916],{"type":25,"value":38917},"Otherwise? 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Their backgrounds and experience in the world of data, marketplaces, and digital media will be invaluable to Narrative as we build the platform that powers the data economy.",{"type":20,"tag":21,"props":38965,"children":38966},{},[38967,38972,38977],{"type":20,"tag":1630,"props":38968,"children":38971},{"alt":38969,"src":38970},"portrait of David Yaffe","https://solutions.narrative.io/hubfs/yaffe.jpeg",[],{"type":20,"tag":33,"props":38973,"children":38974},{},[38975],{"type":25,"value":38976},"David Yaffe",{"type":25,"value":38978}," knows a thing or two about helping companies extract value from data. As the founder and CEO of Arbor, he built a platform that enabled publishers and app developers to understand and monetize their data assets, and gave marketers to the tools needed to learn about their customers and reach them more precisely. In 2016, Arbor was acquired by LiveRamp, where David served as chief operating officer and general manager. Prior to Arbor, David led product for Invite Media, which was acquired by Google and became DoubleClick Bid Manager, Google’s demand-side platform (DSP).",{"type":20,"tag":21,"props":38980,"children":38981},{},[38982],{"type":25,"value":38983},"While radically simplifying the distribution and acquisition of data isn’t rocket science, it doesn’t hurt to have a rocket scientist on board: Before entering the world of data and adtech, David was an aeronautical engineer at Boeing.",{"type":20,"tag":21,"props":38985,"children":38986},{},[38987,38997],{"type":20,"tag":33,"props":38988,"children":38989},{},[38990,38995],{"type":20,"tag":1630,"props":38991,"children":38994},{"alt":38992,"src":38993},"portrait of Ryan Christensen","https://solutions.narrative.io/hubfs/christensen.jpg",[],{"type":25,"value":38996},"Ryan Christensen",{"type":25,"value":38998}," is an ad tech guru, having played numerous key roles throughout his career in the industry. As chief operating officer at AppNexus, Ryan was a core member of the executive team responsible for the company’s development and evolution leading up to its acquisition by AT&T in 2018. He now serves as SVP of platform product at Xandr, AT&T’s advertising business unit.",{"type":20,"tag":21,"props":39000,"children":39001},{},[39002],{"type":25,"value":39003},"Prior to AppNexus, he served as General Manager of Ad Product at Zynga, leading advertising product management and engineering through the successful development of the company's innovative ad delivery and monetization platform. In addition to his time at Zynga, Ryan has held senior positions Brand.net, Yahoo!, Rocket Network, and other leading technology and advertising companies.",{"type":20,"tag":21,"props":39005,"children":39006},{},[39007],{"type":25,"value":39008},"As members of Narrative’s Board of Directors, David and Ryan will use their experience and expertise to help guide Narrative’s growth, helping us build the platform that fuels companies’ data strategy in an efficient, transparent, and secure environment.",{"title":8,"searchDepth":193,"depth":193,"links":39010},[39011],{"id":38955,"depth":380,"text":38958},"content:blog:yaffe-christensen-board-of-directors.md","blog/yaffe-christensen-board-of-directors.md","blog/yaffe-christensen-board-of-directors",{"loc":38945},{"_path":11138,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":39017,"description":39018,"publishDate":39019,"author":3778,"ogImage":39020,"image":39020,"tags":39021,"body":39022,"_type":195,"_id":39084,"_source":197,"_file":39085,"_stem":39086,"_extension":200,"sitemap":39087},"Send sample data to prospective buyers with zero cost data streams","Narrative's data commerce platform now supports zero cost data streams in its Data Marketplace and third-party Data Shops. ","2022-05-24 16:51:41","/img/blog/2022/05/6.png",[],{"type":17,"children":39023,"toc":39082},[39024,39040,39045,39050,39070],{"type":20,"tag":21,"props":39025,"children":39026},{},[39027,39029,39033,39034,39038],{"type":25,"value":39028},"Narrative now supports free data streams in its ",{"type":20,"tag":44,"props":39030,"children":39031},{"href":324},[39032],{"type":25,"value":5989},{"type":25,"value":160},{"type":20,"tag":44,"props":39035,"children":39036},{"href":566},[39037],{"type":25,"value":340},{"type":25,"value":39039},". This will make it significantly easier and faster for sellers to send sample data to prospective buyers.",{"type":20,"tag":21,"props":39041,"children":39042},{},[39043],{"type":25,"value":39044},"Sample data can significantly slow down the data acquisition lifecycle as buyers need to verify the quality of the data and whether their system can intake the predetermined schema before they complete a full purchase. This process has historically taken days or even weeks due to extra master service agreements, custom engineering work, and desperate input and output schemas. Even after all of this work, there is no guarantee that the data will be compatible, which means most buyers have to repeat this process multiple times before finding the right data.",{"type":20,"tag":21,"props":39046,"children":39047},{},[39048],{"type":25,"value":39049},"Zero cost data streams solve these problems by allowing providers to publish any subsection of their data for free. Buyers simply find and select their chosen data stream, add it to their cart, and then receive a data delivery within a couple of hours. Each provider's data can be purchased all at once, allowing the data evaluation process to be completed in less than a day. And the best part is neither the buyer or seller are charged for this data exchange.",{"type":20,"tag":21,"props":39051,"children":39052},{},[39053,39055,39062,39064,39069],{"type":25,"value":39054},"Zero cost data streams also allow Narrative to pull in free data from external data sources. For example, buyers may want to combine their location data with U.S. Census data. Instead of pulling data off of ",{"type":20,"tag":44,"props":39056,"children":39059},{"href":39057,"rel":39058},"http://data.census.gov/",[538],[39060],{"type":25,"value":39061},"data.census.gov",{"type":25,"value":39063},", buyers can download one of Narrative's many Census data streams for free and use it as an input list to match against when creating a ",{"type":20,"tag":44,"props":39065,"children":39066},{"href":572},[39067],{"type":25,"value":39068},"query",{"type":25,"value":191},{"type":20,"tag":21,"props":39071,"children":39072},{},[39073,39075,39080],{"type":25,"value":39074},"Want some free data? Check out the zero cost data streams available in the ",{"type":20,"tag":44,"props":39076,"children":39078},{"href":781,"rel":39077},[538],[39079],{"type":25,"value":6064},{"type":25,"value":39081}," right now. We’ll be adding more data over the coming months!",{"title":8,"searchDepth":193,"depth":193,"links":39083},[],"content:blog:zero-cost-data-streams.md","blog/zero-cost-data-streams.md","blog/zero-cost-data-streams",{"loc":11138},{"body":39089},[],[39091,39109,39137,39154,39171,39193,39215,39310],{"_path":39092,"_dir":39093,"_draft":7,"_partial":7,"_locale":8,"title":39094,"description":39095,"prompt":39096,"body":39097,"_type":195,"_id":39105,"_source":197,"_file":39106,"_stem":39107,"_extension":200,"sitemap":39108},"/faq/cleanroom-capabilities","faq","Is Narrative a data cleanroom?","Yes, Narrative offers Clean Room capabilities within its Data Collaboration Platform. The platform includes a Data Studio UI that is equipped with a Narrative Query Language (NQL) editor. This editor is designed for various data operations and supports features suitable for creating a clean room environment, where users can collaborate on data without exposing sensitive information.","Does Narrative offer clean room capabilities?",{"type":17,"children":39098,"toc":39103},[39099],{"type":20,"tag":21,"props":39100,"children":39101},{},[39102],{"type":25,"value":39095},{"title":8,"searchDepth":193,"depth":193,"links":39104},[],"content:faq:cleanroom-capabilities.md","faq/cleanroom-capabilities.md","faq/cleanroom-capabilities",{"loc":39092},{"_path":39110,"_dir":39093,"_draft":7,"_partial":7,"_locale":8,"title":39111,"description":39112,"prompt":39113,"sitemap":39114,"body":39116,"_type":195,"_id":39134,"_source":197,"_file":39135,"_stem":39136,"_extension":200},"/faq/how-does-ai-help","How does AI help?","From the start Narrative has been focused on making data collaboration easier.  In order to do that we took a technology driven approach -- everything can be done programatically -- but layered easy to use interfaces on top of it like our UI.","Tell me about Narrative's Rosetta digital assistant.",{"loc":39110,"lastmod":39115},"2024-01-20T00:00:00.000Z",{"type":17,"children":39117,"toc":39132},[39118,39122,39127],{"type":20,"tag":21,"props":39119,"children":39120},{},[39121],{"type":25,"value":39112},{"type":20,"tag":21,"props":39123,"children":39124},{},[39125],{"type":25,"value":39126},"With the emergence of AI and its ability to 'reason', Narrative has leveraged the technology to act as an assistant in using our platform.  Instead of having to understand all of the capabilities as a user you can just ask our digital assistant Rosetta to perform a task and she'll handle all of the complexity for you.",{"type":20,"tag":21,"props":39128,"children":39129},{},[39130],{"type":25,"value":39131},"In addition to Rosetta we use various non-LLM based AI to help classify data and make the whole platform easy to use and a seemless experience for advanced data users and novices alike.",{"title":8,"searchDepth":193,"depth":193,"links":39133},[],"content:faq:how-does-ai-help.md","faq/how-does-ai-help.md","faq/how-does-ai-help",{"_path":39138,"_dir":39093,"_draft":7,"_partial":7,"_locale":8,"title":39139,"description":39140,"prompt":39141,"body":39142,"_type":195,"_id":39150,"_source":197,"_file":39151,"_stem":39152,"_extension":200,"sitemap":39153},"/faq/how-much-data","How much data is available in the Narrative platform?","As of January 2, 2024 there is approximately 7 petabytes of data from 63 providers available in the Narrative platform.","Can you give me more information about how much data is available on the Narrative Platform?",{"type":17,"children":39143,"toc":39148},[39144],{"type":20,"tag":21,"props":39145,"children":39146},{},[39147],{"type":25,"value":39140},{"title":8,"searchDepth":193,"depth":193,"links":39149},[],"content:faq:how-much-data.md","faq/how-much-data.md","faq/how-much-data",{"loc":39138},{"_path":39155,"_dir":39093,"_draft":7,"_partial":7,"_locale":8,"title":39156,"description":39157,"prompt":39158,"body":39159,"_type":195,"_id":39167,"_source":197,"_file":39168,"_stem":39169,"_extension":200,"sitemap":39170},"/faq/is-narrative-a-data-broker","Is Narrative a data broker?","No. Narrative neither buys nor sells data. We provide software that powers data collaboration between companies.","What is a data broker and is Narrative one?",{"type":17,"children":39160,"toc":39165},[39161],{"type":20,"tag":21,"props":39162,"children":39163},{},[39164],{"type":25,"value":39157},{"title":8,"searchDepth":193,"depth":193,"links":39166},[],"content:faq:is-narrative-a-data-broker.md","faq/is-narrative-a-data-broker.md","faq/is-narrative-a-data-broker",{"loc":39155},{"_path":39172,"_dir":39093,"_draft":7,"_partial":7,"_locale":8,"title":39173,"description":39174,"prompt":39175,"body":39176,"_type":195,"_id":39189,"_source":197,"_file":39190,"_stem":39191,"_extension":200,"sitemap":39192},"/faq/pricing","How much does Narrative cost","Narrative's pricing model is based on the amount of data that you store, process, and use.  As a core functionality Narrative let's you store and process data as a data collaborator.  If you work with other collaborators there may be an additional price to access their data which they can set within the platform.","Describe Narrative's pricing model",{"type":17,"children":39177,"toc":39187},[39178,39182],{"type":20,"tag":21,"props":39179,"children":39180},{},[39181],{"type":25,"value":39174},{"type":20,"tag":21,"props":39183,"children":39184},{},[39185],{"type":25,"value":39186},"Narrative's pay-as-you-go pricing makes it easy to start using the platform with no up-front costs or commitments. We also offer deeply discounted usage rates when you commit to a set amount of usage over time.",{"title":8,"searchDepth":193,"depth":193,"links":39188},[],"content:faq:pricing.md","faq/pricing.md","faq/pricing",{"loc":39172},{"_path":39194,"_dir":39093,"_draft":7,"_partial":7,"_locale":8,"title":39195,"description":39196,"prompt":39197,"body":39198,"_type":195,"_id":39211,"_source":197,"_file":39212,"_stem":39213,"_extension":200,"sitemap":39214},"/faq/rosetta-vs-rosetta-stone","How are Rosetta and Rosetta Stone different?","Rosetta is Narrative's digital assistant, designed to help users navigate the platform and perform tasks.","What is the difference between Rosetta and Rosetta Stone?",{"type":17,"children":39199,"toc":39209},[39200,39204],{"type":20,"tag":21,"props":39201,"children":39202},{},[39203],{"type":25,"value":39196},{"type":20,"tag":21,"props":39205,"children":39206},{},[39207],{"type":25,"value":39208},"Rosetta Stone is a patent pending technology Narrative created to act as a bridge between different data sources. It is a data transformation and normalization layer that allows users to work with data from different sources as if it were all from the same source. This is a key part of the Narrative platform and is used to make data collaboration easier.",{"title":8,"searchDepth":193,"depth":193,"links":39210},[],"content:faq:rosetta-vs-rosetta-stone.md","faq/rosetta-vs-rosetta-stone.md","faq/rosetta-vs-rosetta-stone",{"loc":39194},{"_path":558,"_dir":39093,"_draft":7,"_partial":7,"_locale":8,"title":6385,"description":39216,"prompt":415,"body":39217,"_type":195,"_id":39306,"_source":197,"_file":39307,"_stem":39308,"_extension":200,"sitemap":39309},"Data collaboration is the process of sharing data between organizations to achieve a common goal. Data collaboration platforms are the tools that enable this process through the secure exchange of data.  Common features of data collaboration platforms include:",{"type":17,"children":39218,"toc":39304},[39219,39223],{"type":20,"tag":21,"props":39220,"children":39221},{},[39222],{"type":25,"value":39216},{"type":20,"tag":903,"props":39224,"children":39225},{},[39226,39236,39246,39256,39266,39276,39285,39295],{"type":20,"tag":907,"props":39227,"children":39228},{},[39229,39234],{"type":20,"tag":33,"props":39230,"children":39231},{},[39232],{"type":25,"value":39233},"Data access controls",{"type":25,"value":39235}," that allow data owners to control who can access their data and how it can be used.",{"type":20,"tag":907,"props":39237,"children":39238},{},[39239,39244],{"type":20,"tag":33,"props":39240,"children":39241},{},[39242],{"type":25,"value":39243},"Data usage controls",{"type":25,"value":39245}," that allow data owners to control how their data can be used.",{"type":20,"tag":907,"props":39247,"children":39248},{},[39249,39254],{"type":20,"tag":33,"props":39250,"children":39251},{},[39252],{"type":25,"value":39253},"Data governance",{"type":25,"value":39255}," that allows data owners to monitor and audit how their data is being used.",{"type":20,"tag":907,"props":39257,"children":39258},{},[39259,39264],{"type":20,"tag":33,"props":39260,"children":39261},{},[39262],{"type":25,"value":39263},"Data privacy",{"type":25,"value":39265}," that allows data owners to ensure that their data is not being misused.",{"type":20,"tag":907,"props":39267,"children":39268},{},[39269,39274],{"type":20,"tag":33,"props":39270,"children":39271},{},[39272],{"type":25,"value":39273},"Data security",{"type":25,"value":39275}," that allows data owners to ensure that their data is not being stolen or leaked.",{"type":20,"tag":907,"props":39277,"children":39278},{},[39279,39283],{"type":20,"tag":33,"props":39280,"children":39281},{},[39282],{"type":25,"value":10159},{"type":25,"value":39284}," that allows data owners to ensure that their data is accurate and up-to-date.",{"type":20,"tag":907,"props":39286,"children":39287},{},[39288,39293],{"type":20,"tag":33,"props":39289,"children":39290},{},[39291],{"type":25,"value":39292},"Data provenance",{"type":25,"value":39294}," that allows data owners to ensure that their data is not being tampered with.",{"type":20,"tag":907,"props":39296,"children":39297},{},[39298,39303],{"type":20,"tag":33,"props":39299,"children":39300},{},[39301],{"type":25,"value":39302},"Data lineage",{"type":25,"value":39294},{"title":8,"searchDepth":193,"depth":193,"links":39305},[],"content:faq:what-is-data-collaboration.md","faq/what-is-data-collaboration.md","faq/what-is-data-collaboration",{"loc":558},{"_path":39311,"_dir":39093,"_draft":7,"_partial":7,"_locale":8,"title":39312,"description":39313,"prompt":39314,"body":39315,"_type":195,"_id":39323,"_source":197,"_file":39324,"_stem":39325,"_extension":200,"sitemap":39326},"/faq/what-kind-of-data","What kinds of data does the platform support?","Narrative's software can support any data type whatsoever, regardless of schema. Our Rosetta Stone technology applies a standardized ontology of attributes and mappings that gives users the ability virtually interact with multiple datasets without requiring the transformation or commingling of data.","Tell me about the types of data available in Narrative.",{"type":17,"children":39316,"toc":39321},[39317],{"type":20,"tag":21,"props":39318,"children":39319},{},[39320],{"type":25,"value":39313},{"title":8,"searchDepth":193,"depth":193,"links":39322},[],"content:faq:what-kind-of-data.md","faq/what-kind-of-data.md","faq/what-kind-of-data",{"loc":39311},[39328,39372,39413,39458,39500,39539,39579,39620,39661,39703],{"_path":39329,"_dir":15,"_draft":7,"_partial":7,"_locale":8,"title":39330,"description":39331,"short_title":39332,"layout":39333,"body":39334,"_type":195,"_id":39368,"_source":197,"_file":39369,"_stem":39370,"_extension":200,"sitemap":39371},"/solutions/audience-activation","Activate your audiences in 15 minutes","Easily onboard and deliver your data to activation platforms in minutes, so you can launch your campaign by EOD, not EOW.","Audience Activation","purple-prodigy",{"type":17,"children":39335,"toc":39366},[39336],{"type":20,"tag":39337,"props":39338,"children":39339},"item-grid",{},[39340,39347,39353,39359],{"type":20,"tag":39341,"props":39342,"children":39346},"feature-callout",{"description":39343,"prompt":39344,"title":39345},"No-code software and AI assistants simplify the process, so anyone can onboard and activate data, even without technical know-how.","Brainstorm ideas about how my software engineers could better spend their time than cleaning data to build marking audiences.","Give your engineers their time back",[],{"type":20,"tag":39341,"props":39348,"children":39352},{"description":39349,"prompt":39350,"title":39351},"Don’t blow your budget on data brokers. Narrative’s flexible, usage-based pricing means you'll spend less on onboarding, so you can spend more on results.","Why is Narrative better as onboarding data than LiveRamp?","Onboard data on a dime",[],{"type":20,"tag":39341,"props":39354,"children":39358},{"description":39355,"prompt":39356,"title":39357},"Execute custom campaigns with ease. Slice and dice your data to create custom segments without SQL. Or tell our AI assistant to do it for you!","Show me how easy it is to create an audience.","Create new audiences with just a few clicks",[],{"type":20,"tag":39360,"props":39361,"children":39365},"mega-feature-callout",{"description":39362,"link-text":11751,"link-url":7029,"subtitle":39363,"title":39364},"Activate your audiences on the world's largest independent DSP. Narrative seamlessly integrates with The Trade Desk so you can reach customers across every digital channel and device.","Instantly deliver your data to The Trade Desk","NEW ACTIVATION PLATFORM",[],{"title":8,"searchDepth":193,"depth":193,"links":39367},[],"content:solutions:audience-activation.md","solutions/audience-activation.md","solutions/audience-activation",{"loc":39329},{"_path":39373,"_dir":15,"_draft":7,"_partial":7,"_locale":8,"title":39374,"description":39375,"short_title":39374,"layout":39376,"body":39377,"_type":195,"_id":39409,"_source":197,"_file":39410,"_stem":39411,"_extension":200,"sitemap":39412},"/solutions/chat-data","Talk to Your Data","Engage directly with your data through Narrative's intuitive chat interface, streamline the data query process, and enhance collaboration.","innovative-horizons",{"type":17,"children":39378,"toc":39407},[39379],{"type":20,"tag":39337,"props":39380,"children":39381},{},[39382,39388,39394,39400],{"type":20,"tag":39341,"props":39383,"children":39387},{"description":39384,"prompt":39385,"title":39386},"Grant Rosetta AI access to your datasets for an interactive, conversational experience that simplifies data management and enhances insights.","How can Rosetta AI improve my interaction with data?","Empower data dialogue",[],{"type":20,"tag":39341,"props":39389,"children":39393},{"description":39390,"prompt":39391,"title":39392},"Map your datasets to Narrative’s Rosetta Stone ontology to ‘speak the same language’ across varied data sources, fostering seamless collaboration.","What is the benefit of mapping datasets to a common ontology?","Unify disparate datasets",[],{"type":20,"tag":39341,"props":39395,"children":39399},{"description":39396,"prompt":39397,"title":39398},"Say goodbye to tedious tasks. Automate query building, debugging, and data summarization with our AI assistant, focusing on innovation, not repetition.","Can the Narrative AI assistant create a complex query for me?","Automate the mundane",[],{"type":20,"tag":39360,"props":39401,"children":39406},{"description":39402,"prompt":39403,"subtitle":39404,"title":39405},"Use our conversational platform as your starting point to query your data, compare datasets, or explore our marketplace. Optimize your data practices with ease and agility.","How does access to a data marketplace enhance my analytics capabilities?","Engage with a marketplace of data","CHAT-DRIVEN ANALYTICS",[],{"title":8,"searchDepth":193,"depth":193,"links":39408},[],"content:solutions:chat-data.md","solutions/chat-data.md","solutions/chat-data",{"loc":39373},{"_path":39414,"_dir":15,"_draft":7,"_partial":7,"_locale":8,"title":39415,"description":39416,"short_title":39417,"layout":39418,"ogTextColor":39419,"ogBackgroundColor":39420,"ogBorderColor":39421,"body":39422,"_type":195,"_id":39454,"_source":197,"_file":39455,"_stem":39456,"_extension":200,"sitemap":39457},"/solutions/clean-room","World Class Cleanroom","Use our advanced data cleanroom solutions to collaborate confidently, normalize disparate data, and maintain data privacy across multiple clouds.","Data Cleanroom","nebula","#F1C05C","#110E16","#966322",{"type":17,"children":39423,"toc":39452},[39424],{"type":20,"tag":39337,"props":39425,"children":39426},{},[39427,39433,39439,39445],{"type":20,"tag":39341,"props":39428,"children":39432},{"description":39429,"prompt":39430,"title":39431},"Narrative AI’s Data Collaboration Platform provides a data cleanroom environment, enabling secure collaboration without compromising on data privacy. Share insights, not data, with partners across the ecosystem.","Understand the secure collaboration capabilities within our data cleanroom.","Secure Data Collaboration",[],{"type":20,"tag":39341,"props":39434,"children":39438},{"description":39435,"prompt":39436,"title":39437},"Benefit from our robust data normalization processes that turn disparate data from various sources into a cohesive, standardized format ready for analysis and collaboration within the cleanroom environment.","Discover the advantages of data normalization with Narrative AI.","Data Normalization Expertise",[],{"type":20,"tag":39341,"props":39440,"children":39444},{"description":39441,"prompt":39442,"title":39443},"Narrative AI offers a multi-cloud tenancy approach, granting you the freedom to store and process your data in the cloud environment of your choice. Achieve unparalleled flexibility and optimize your data strategy.","Learn more about how multi-cloud tenancy with Narrative AI can enhance your data management.","Multi-Cloud Tenancy Flexibility",[],{"type":20,"tag":39360,"props":39446,"children":39451},{"description":39447,"prompt":39448,"subtitle":39449,"title":39450},"Embrace the full potential of Narrative AI’s Data Collaboration Platform to protect data privacy, normalize data, and collaborate across various clouds.","How can I get started with a secure data cleanroom environment?","Collaboration without compromise","Harness the Power of a Data Cleanroom",[],{"title":8,"searchDepth":193,"depth":193,"links":39453},[],"content:solutions:clean-room.md","solutions/clean-room.md","solutions/clean-room",{"loc":39414},{"_path":39459,"_dir":15,"_draft":7,"_partial":7,"_locale":8,"title":39460,"description":39461,"short_title":39462,"layout":39463,"body":39464,"_type":195,"_id":39496,"_source":197,"_file":39497,"_stem":39498,"_extension":200,"sitemap":39499},"/solutions/competitive-intelligence","Gain the Edge with Actionable Competitive Intelligence","Dive into market dynamics and competitor activities to anticipate shifts, refine your strategy, and stay ahead of the curve.","Competitive Intelligence","urban-dawn",{"type":17,"children":39465,"toc":39494},[39466],{"type":20,"tag":39337,"props":39467,"children":39468},{},[39469,39475,39481,39487],{"type":20,"tag":39341,"props":39470,"children":39474},{"description":39471,"prompt":39472,"title":39473},"Narrative's platform unlocks actionable insights, helping you to align your strategies with customer expectations.","What kind of insights can I unlock with Narrative?","Insightful Data at Your Fingertips",[],{"type":20,"tag":39341,"props":39476,"children":39480},{"description":39477,"prompt":39478,"title":39479},"Identify trends, predict churn, and spot opportunities with ease, powered by comprehensive analytics.","Illustrate how data can guide my business decisions.","Data-Driven Strategic Positioning",[],{"type":20,"tag":39341,"props":39482,"children":39486},{"description":39483,"prompt":39484,"title":39485},"Easily integrate Narrative’s platform with your existing CRM data. Continuous data enrichment ensures your customer profiles are always up to date.","Discover how Narrative can integrate with popular CRM systems like Salesforce and HubSpot.","Seamless Integration with Your CRM",[],{"type":20,"tag":39360,"props":39488,"children":39493},{"description":39489,"prompt":39490,"subtitle":39491,"title":39492},"Craft strategic initiatives by analyzing an array of customer data points, including lesser-known behavioral indicators.","Can you help me understand the customer behavior that isn't directly observable?","Holistic Customer Analysis","CUSTOMER INTELLIGENCE REIMAGINED",[],{"title":8,"searchDepth":193,"depth":193,"links":39495},[],"content:solutions:competitive-intelligence.md","solutions/competitive-intelligence.md","solutions/competitive-intelligence",{"loc":39459},{"_path":155,"_dir":15,"_draft":7,"_partial":7,"_locale":8,"title":39501,"description":39502,"short_title":39503,"layout":39376,"body":39504,"_type":195,"_id":39535,"_source":197,"_file":39536,"_stem":39537,"_extension":200,"sitemap":39538},"Deepen your customer understanding effortlessly","Enrich customer profiles with targeted information to drive measurable outcomes.","Data Enrichment",{"type":17,"children":39505,"toc":39533},[39506],{"type":20,"tag":39337,"props":39507,"children":39508},{},[39509,39515,39521,39526],{"type":20,"tag":39341,"props":39510,"children":39514},{"description":39511,"title":39512,"prompt":39513},"Augment customer data with additional attributes for refined segmentation and highly personalized messaging.","Precisely target with enriched profiles","Tell me how I can better segment my customers with Narrative.",[],{"type":20,"tag":39341,"props":39516,"children":39520},{"description":39517,"title":39518,"prompt":39519},"Narrative makes it easy to get the data you're looking for without having to be a nerd.","Know Your Customer, Not Computer Science","How does Narrative make it easy for a non tehnical person to get the data they need?",[],{"type":20,"tag":39341,"props":39522,"children":39525},{"description":39523,"title":39524,"link-path":324,"link-text":11751},"Narrative's data marketplace makes billions of data points available at your fingertips. All joinable to your existing data","Huge Selection",[],{"type":20,"tag":39360,"props":39527,"children":39532},{"description":39528,"prompt":39529,"subtitle":39530,"title":39531},"Push your data and let Narrative enrich it with precision, then distribute it instantly to your preferred platforms — all without technical heavy-lifting.","Walk me through how I can enrich my customer data with Narrative.","Seamless integration for comprehensive profiles","STREAMLINED DATA ENRICHMENT",[],{"title":8,"searchDepth":193,"depth":193,"links":39534},[],"content:solutions:data-enrichment.md","solutions/data-enrichment.md","solutions/data-enrichment",{"loc":155},{"_path":566,"_dir":15,"_draft":7,"_partial":7,"_locale":8,"title":39540,"description":39541,"short_title":39542,"layout":39376,"body":39543,"_type":195,"_id":39575,"_source":197,"_file":39576,"_stem":39577,"_extension":200,"sitemap":39578},"Turn data into a high margin revenue stream","Narrative offers the tools to make it easy to get your data business off the ground in days.  Already selling data?  We can help super charge your existing data business.","Data Monetization",{"type":17,"children":39544,"toc":39573},[39545],{"type":20,"tag":39337,"props":39546,"children":39547},{},[39548,39554,39560,39566],{"type":20,"tag":39341,"props":39549,"children":39553},{"description":39550,"prompt":39551,"title":39552},"Narrative's platform makes it so easy to sell data you'll be up and running within a week.","How long does it take to start selling data?","Spend Days not Years",[],{"type":20,"tag":39341,"props":39555,"children":39559},{"description":39556,"prompt":39557,"title":39558},"Our platform supports both public marketplaces as well as selling data in private deals that only the participants know about.","What if I don't want people to know I'm selling data?","Public and Private Markets",[],{"type":20,"tag":39341,"props":39561,"children":39565},{"description":39562,"prompt":39563,"title":39564},"Your data buisness needs to be where your customers are.  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