{"id":30563,"date":"2025-02-03T07:52:42","date_gmt":"2025-02-03T07:52:42","guid":{"rendered":"https:\/\/zamstudios.com\/blogs\/7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025\/"},"modified":"2025-02-03T07:52:42","modified_gmt":"2025-02-03T07:52:42","slug":"7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025","status":"publish","type":"post","link":"https:\/\/zamstudios.com\/blogs\/7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025\/","title":{"rendered":"7 Enterprise Data Strategy Trends You Can\u2019t Afford To Ignore In 2025"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_89 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/zamstudios.com\/blogs\/7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025\/#7_Enterprise_Data_Strategy_Trends_You_Cant_Afford_To_Ignore_In_2025\" >7 Enterprise Data Strategy Trends You Can\u2019t Afford To Ignore In 2025<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/zamstudios.com\/blogs\/7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025\/#AI_Changes_The_Data_Value_Proposition\" >AI Changes The Data Value Proposition<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/zamstudios.com\/blogs\/7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025\/#Data_Democratization_Is_Real\" >Data Democratization Is Real<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/zamstudios.com\/blogs\/7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025\/#Data_Quality_Is_In_The_Limelight\" >Data Quality Is In The Limelight<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/zamstudios.com\/blogs\/7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025\/#Shift_In_Data_Strategies\" >Shift In Data Strategies<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/zamstudios.com\/blogs\/7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025\/#Data_On_The_Edge\" >Data On The Edge<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/zamstudios.com\/blogs\/7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025\/#Data_as_a_Service_Gains_Momentum\" >Data as a Service Gains Momentum<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/zamstudios.com\/blogs\/7-enterprise-data-strategy-trends-you-cant-afford-to-ignore-in-2025\/#Data_Strategy_Revamp\" >Data Strategy Revamp<\/a><\/li><\/ul><\/nav><\/div>\n<p><span style=\"font-weight: 400\">IT leaders\u00a0 recognize that high-quality data fuels actionable business intelligence, leading to superior decision-making and operational efficiency. However, data collection is dynamic and demands meticulous planning, access to pertinent sources and robust, adaptable management. To remain updated on the latest in information management, it is essential to explore current data strategy trends.<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">In this article, you will learn about seven enterprise data strategy trends that you should keep an eye on in 2025.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"7_Enterprise_Data_Strategy_Trends_You_Cant_Afford_To_Ignore_In_2025\"><\/span><span style=\"font-weight: 400\">7 Enterprise Data Strategy Trends You Can\u2019t Afford To Ignore In 2025<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400\">Here are seven enterprise data strategy trends that you can not afford to ignore in 2025.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"AI_Changes_The_Data_Value_Proposition\"><\/span><span style=\"font-weight: 400\">AI Changes The Data Value Proposition<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400\">Artificial intelligence can play a pivotal role in boosting your productivity and business efficiency. Moreover, it can help your business in streamlining operations and optimize resource utilization. Not only that, it is now completely changing the value proposition. How? By enabling businesses to extract actionable insights from large data sets.<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">This allows businesses to make informed decisions and develop a culture of innovation. In addition to this, enterprises can leverage artificial intelligence to identify patterns and make demand forecasts. They know exactly how much inventory they need to fulfill the demand in the future. This prevents wastage and ensures optimal allocation of resources.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Data_Democratization_Is_Real\"><\/span><span style=\"font-weight: 400\">Data Democratization Is Real<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400\">Data democratization is all about making data accessible and usable for all stakeholders. Forward looking enterprises are jumping on this trend. Portia Crowe, chief data strategist for defense and applied intelligence at Accenture said, \u201c<\/span><b>By allowing for different perspectives, it can help round-out conclusions and foster collaboration across the organization<\/b><span style=\"font-weight: 400\">.\u201d<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">Data democratization can break down data silos. Crowe highlights the benefits of data democratization, \u201c<\/span><b>It enables a data-driven culture by providing access to the data and tools that encourage usability.<\/b><span style=\"font-weight: 400\">\u201d The barrier to entry is also much lower thanks to intuitive self service tools.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Data_Quality_Is_In_The_Limelight\"><\/span><span style=\"font-weight: 400\">Data Quality Is In The Limelight<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400\">There is a lot of buzz around enhancing the data quality especially after the advent of large language models and artificial intelligence as their outputs are highly dependent on the data you train them on. Crowe also alluded to this fact by saying \u201c<\/span><b>Inaccurate or biased data can lead to flawed AI outputs<\/b><span style=\"font-weight: 400\">.\u201d How do you measure data quality?<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">There are five key characteristics that differentiate high quality data from low quality data.<\/span><\/p>\n<p>\u00a0<\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Accuracy<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Completeness<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Consistency<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Timeliness<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Validity<\/span><\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">If your data has all these five characteristics then it is high quality but if it is not you need to normalize it and improve it before using it. Shedding light on the downside of low quality data, Crowe said, \u201c<\/span><b>Dirty data leads to poor choices and can hinder your organziations ability to compete and prevents your orgaznaition from performing effectively.<\/b><span style=\"font-weight: 400\">\u201d<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Shift_In_Data_Strategies\"><\/span><span style=\"font-weight: 400\">Shift In Data Strategies<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400\">Jayaprakash Nair, head of analytics at Altimetrik, highlights a shift in enterprise data strategy from a traditional left-to-right approach, where data is funneled into a centralized location and cleaned to create a <\/span><b>single source of truth <\/b><span style=\"font-weight: 400\">(SSOT) to a right-to-left approach.<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">In this new model, business teams define priorities, and the IT team collects and cleans data to meet these immediate needs, thereby generating business value more quickly. Nair believes this method will build the single source of truth organically over time, ensuring continuous delivery of tangible business value.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Data_On_The_Edge\"><\/span><span style=\"font-weight: 400\">Data On The Edge<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400\">As enterprise reliance on data grows, they want instant access to data for analysis. This has forced them to store data at edge and embrace edge computing. Unlike cloud based or <\/span><a href=\"https:\/\/www.hostnoc.com\/vps-server\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Budget Vps server<\/span><\/a><span style=\"font-weight: 400\"> infrastructure, the latency is much lower when data is stored at the edge.<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">This shift towards edge computing will change the way data is stored, processed and managed. As mentioned before, real time data analysis capabilities unlocked by edge computing can prove to be vital for many industries as it can help them streamline workflows and enhance decision making.<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">IT leaders need to communicate how moving data closer to the source can help their business drive results and take right decisions quickly, giving them a competitive advantage in the process. Once stakeholders visualize the benefits edge can bring to the table, they will start supporting your edge implementation.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Data_as_a_Service_Gains_Momentum\"><\/span><span style=\"font-weight: 400\">Data as a Service Gains Momentum<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400\">A new trend that is slowly but surely gaining momentum is data as a service. It can save enterprises from buying and maintaining expensive on premise systems and reduces operational costs just like investing in <\/span><a href=\"https:\/\/hostnoc.com\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">dedicated hosting server<\/span><\/a><span style=\"font-weight: 400\">. Data as a service allows you to integrate new data sources according to your business needs. Moreover, it can help you monetize your data, creating a new revenue stream for your business.<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">Not only that, it can help enterprises streamline data sources across different business units and also assist with data visualization and automation. To make the most of data as a service, you will have to integrate it into your existing data ecosystem. Once integrated successfully, it can help organization with decision making, analytics and innovation.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Data_Strategy_Revamp\"><\/span><span style=\"font-weight: 400\">Data Strategy Revamp<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400\">If you are one of those enterprises who already have a data strategy, it is time to rethink it and create a new one. Why? In order to extract most value from growing data pools, it is important for businesses to create data strategies that are designed with that purpose in mind. A good data strategy covers all bases such as data governance and ownership and focuses on desired outcomes.<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">With artificial intelligence adoption high up on the enterprise agenda, your old data strategy is no longer relevant. You need a data strategy that is tailor made to maximize the benefits artificial intelligence has to offer. Companies who develop mechanisms to make the most of data will succeed in the future.<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400\">Which of these enterprise data strategy trends will create the biggest splash in 2025? Share it with us in the comments section below.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>IT leaders\u00a0 recognize that high-quality data fuels actionable business intelligence, leading to superior decision-making and operational efficiency. However, data collection is dynamic and demands meticulous planning, access to pertinent sources and robust, adaptable management. To remain updated on the latest in information management, it is essential to explore current data strategy trends. \u00a0 In this [&hellip;]<\/p>\n","protected":false},"author":3790,"featured_media":30562,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[543,145],"tags":[],"class_list":["post-30563","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-security","category-technology"],"_links":{"self":[{"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/posts\/30563","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/users\/3790"}],"replies":[{"embeddable":true,"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/comments?post=30563"}],"version-history":[{"count":1,"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/posts\/30563\/revisions"}],"predecessor-version":[{"id":30564,"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/posts\/30563\/revisions\/30564"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/media\/30562"}],"wp:attachment":[{"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/media?parent=30563"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/categories?post=30563"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/zamstudios.com\/blogs\/wp-json\/wp\/v2\/tags?post=30563"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}