{"id":4406,"date":"2022-10-07T17:43:20","date_gmt":"2022-10-07T21:43:20","guid":{"rendered":"https:\/\/solutionsreview.com\/data-management\/?p=4406"},"modified":"2022-10-10T10:20:06","modified_gmt":"2022-10-10T14:20:06","slug":"data-integrity-framework-trends-and-best-practices-for-success","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-management\/data-integrity-framework-trends-and-best-practices-for-success\/","title":{"rendered":"Data Integrity Framework: Trends and Best Practices for Success"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-4407 size-full\" src=\"https:\/\/solutionsreview.com\/data-management\/files\/2022\/10\/Data-Integrity-Framework.jpg\" alt=\"Data Integrity Framework\" width=\"800\" height=\"400\" srcset=\"https:\/\/solutionsreview.com\/data-management\/files\/2022\/10\/Data-Integrity-Framework.jpg 800w, https:\/\/solutionsreview.com\/data-management\/files\/2022\/10\/Data-Integrity-Framework-300x150.jpg 300w, https:\/\/solutionsreview.com\/data-management\/files\/2022\/10\/Data-Integrity-Framework-768x384.jpg 768w, https:\/\/solutionsreview.com\/data-management\/files\/2022\/10\/Data-Integrity-Framework-600x300.jpg 600w, https:\/\/solutionsreview.com\/data-management\/files\/2022\/10\/Data-Integrity-Framework-162x81.jpg 162w, https:\/\/solutionsreview.com\/data-management\/files\/2022\/10\/Data-Integrity-Framework-360x180.jpg 360w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p style=\"text-align: justify;\"><strong><em>This is part of Solutions Review\u2019s Premium Content Series, a collection of contributed columns written by industry experts in maturing software categories. In this submission, <a href=\"https:\/\/www.precisely.com\/\" target=\"_blank\" rel=\"noopener\">Precisely<\/a> COO Eric Yau offers a data integrity framework, along with trends to be aware of and best practices to consider.<\/em><\/strong><\/p>\n<p style=\"text-align: justify;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-3560 alignleft\" src=\"https:\/\/solutionsreview.com\/data-management\/files\/2021\/12\/SR-Premium-Content.gif\" alt=\"SR Premium Content\" width=\"105\" height=\"110\" srcset=\"https:\/\/solutionsreview.com\/data-management\/files\/2021\/12\/SR-Premium-Content.gif 105w, https:\/\/solutionsreview.com\/data-management\/files\/2021\/12\/SR-Premium-Content-77x81.gif 77w\" sizes=\"(max-width: 105px) 100vw, 105px\" \/>Organizations are increasingly viewing data as a strategic asset as they seek to compete in a digital-first world \u2013 and are also aware that true <span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/solutionsreview.com\/business-intelligence\/get-a-free-business-intelligence-software-buyers-guide\/\" target=\"_blank\" rel=\"noopener\">business intelligence<\/a><\/strong><\/span> can only come from a foundation of trusted data. Unfortunately, research suggests that there is growing gap between the drive for more data-driven decision-making and the levels of confidence that businesses have in the data available to them.<\/p>\n<p style=\"text-align: justify;\">A recent IDC Spotlight paper on <a href=\"https:\/\/www.precisely.com\/resource-center\/analystreports\/improving-data-integrity-and-trust-through-transparency-and-enrichment\" target=\"_blank\" rel=\"noopener\"><em>Improving Data Integrity and Trust through Transparency and Enrichment<\/em><\/a> showed that while 63 percent of data practitioners believe they are expected to make data-driven decisions, only 27 percent completely trust the data they are working with. This illustrates an urgent need for businesses to bridge a data trust gap between the expectations placed on the use of data and the ability to trust that data to make confident decisions.<\/p>\n<p style=\"text-align: justify;\">As data moves from its source it degrades \u2013 which contributes to the data trust gap. As data moves, its context, meaning, and shape become distorted. Siloed systems and an inability to effectively enrich data can widen that gap.<\/p>\n<p style=\"text-align: justify;\"><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/solutionsreview.com\/data-management\/the-best-data-integrity-tools\/\" target=\"_blank\" rel=\"noopener\">Data integrity<\/a><\/strong><\/span> holds the key to ensuring data trust, combining <span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/solutionsreview.com\/data-integration\/data-integration-buyers-guide\/\" target=\"_blank\" rel=\"noopener\">data integration<\/a><\/strong><\/span>, <span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/solutionsreview.com\/data-management\/the-best-data-governance-tools-and-software\/\" target=\"_blank\" rel=\"noopener\">data governance<\/a><\/strong><\/span> and <span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/solutionsreview.com\/data-management\/the-best-data-quality-tools-and-software\/\" target=\"_blank\" rel=\"noopener\">quality<\/a><\/strong><\/span>, location intelligence, and data enrichment to ensure a foundation of data that has accuracy, consistency, and context. Below, I\u2019ll outline trends that exist in the market today that are driving the need for data integrity, as well as the four main steps that businesses should consider when implementing their own data integrity strategy.<\/p>\n<div class=\"widget\"><div class=\"aside-card\">\t\t\t<div class=\"textwidget\"><a class=\"speedbump\" href=\"https:\/\/solutionsreview.com\/data-management\/data-management-data-warehouse-buyers-guide\/\" title=\"Download link to Data Management Buyers Guide\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-1682\" src=\"https:\/\/solutionsreview.com\/data-management\/files\/2019\/01\/data-management-speedbump-cta.jpg\" alt=\"Download Link to Data Management Buyers Guide\" width=\"800\" height=\"225\" \/><\/a><\/div>\n\t\t<\/div><\/div>\n<h2><strong>Data Integrity Framework<\/strong><\/h2>\n<hr \/>\n<h3><strong>Top Trends Driving Demand for Data Integrity<\/strong><\/h3>\n<p style=\"text-align: justify;\">The IDC Spotlight also outlined several key trends in the market that are increasingly driving the push toward greater data integrity:<\/p>\n<ul>\n<li style=\"text-align: justify;\"><strong>Artificial intelligence:<\/strong> Machines are learning from data. If the data is incorrect, invalid or incomplete, it won\u2019t have integrity, and those machines will get a bad education. Without data that can be trusted, algorithms won\u2019t be able to detect anomalies, infer relationships between entities, and automate processes and decision-making.<\/li>\n<li style=\"text-align: justify;\"><strong>DataOps:<\/strong> Organizations that have implemented DataOps have seen significant improvements in their ability to deliver data projects on time. These initiatives require data integrity technologies and methods to support continuous improvement, testing, and deployment of data to the business.<\/li>\n<li style=\"text-align: justify;\"><strong>Cloud Migration:<\/strong> Organizations desiring to take advantage of cloud scalability and elasticity continue to migrate workloads to the cloud. To address the challenges of integrating siloed and complex data to the cloud, ensure that clean data is fed to the cloud, and make decisions about what to move based on regional regulations, data integrity must play a key role. In addition, centralized intelligence about what data is where, across hybrid and multi-cloud environments, offers organizations the ability to exercise greater control over data assets.<\/li>\n<li style=\"text-align: justify;\"><strong>ESG:<\/strong> Data, and transparency into data are at the core of ESG initiatives. In addition, needing accurate and complete data to report on environmental and social metrics, an organization must be transparent about how it collects data to ensure it is ethically sourced, and it must ensure that no biases are built into its analytics. Accurate, complete, and contextualized data is a must to meet the ESG requirements of customers, the market, and investors.<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">Prioritizing a data integrity strategy will be crucial for organizations looking to respond to these trending topics.<\/p>\n<h3><strong>The Four Key Steps to Data Integrity Success<\/strong><\/h3>\n<p style=\"text-align: justify;\">But where should businesses even start when it comes to building their own strategy for data integrity? Below is an overview of the key steps that organizations should consider when establishing a framework for building trusted data:<\/p>\n<ul>\n<li style=\"text-align: justify;\"><strong>Data Integration:<\/strong>\u00a0Building a holistic view of an organization\u2019s data requires tying multiple systems together through mapping and translation. Integration of data across the enterprise, whether in mainframes, relational databases, or enterprise data warehouses, requires a carefully considered approach to bringing the data together under one roof, and in a way that is most aligned to the organization\u2019s strategic goals.<\/li>\n<li style=\"text-align: justify;\"><strong>Data Governance and Quality:<\/strong>\u00a0A sound data integrity strategy must help the organization understand the lineage of its data, how it is used by the business, and the controls in place around it. And it must be capable of managing and validating data across multiple systems, proactively identifying anomalies or discrepancies, and triggering workflows and processes to correct those errors.<\/li>\n<li style=\"text-align: justify;\"><strong>Location Intelligence:<\/strong> Virtually every data point in the world can be associated with location in one way or another. Location intelligence involves the use of geospatial analysis and visualization to better understand the relationships in your data and use that insight to reduce risk, better understand customer behavior, and increase efficiencies.<\/li>\n<li style=\"text-align: justify;\"><strong>Data Enrichment:<\/strong> Data enrichment adds necessary context to your data to enable data-driven strategies. Whether you\u2019re interested in standard data or dynamic data (like demographic movement and weather changes over time), you can enrich your enterprise data with relevant context.<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">Ultimately, different organizations will be at different stages on their journey to data integrity, driven by their own unique mix of business needs and priorities. Some might start by integrating data from siloed systems into a <span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/solutionsreview.com\/data-management\/the-best-cloud-data-warehouse-solutions-2\/\" target=\"_blank\" rel=\"noopener\">cloud data warehouse<\/a><\/strong><\/span>. Others may need to first adopt <span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/solutionsreview.com\/data-management\/the-best-data-governance-courses-and-online-training\/\" target=\"_blank\" rel=\"noopener\">data governance<\/a><\/strong><\/span> to find and understand their critical data. Or they may first enrich their data to fill gaps and add more context.<\/p>\n<p style=\"text-align: justify;\">No matter what the driver may be, it\u2019s important to ensure that robust data foundations are being put in place to support the success of business initiatives. By building a meaningful data integrity strategy around data integration, data governance and quality, location intelligence, and data enrichment, organizations can be confident that they are making smarter business decisions based on data they can trust.<\/p>\n<div class=\"hr hr\"><\/div>\n<div class=\"widget\"><div class=\"aside-card\">\t\t\t<div class=\"textwidget\"><p><a class=\"speedbump\" href=\"https:\/\/solutionsreview.com\/data-management\/data-management-vendor-map-a-guide-to-the-best-data-management-tools\/\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-1682\" src=\"https:\/\/solutionsreview.com\/data-management\/files\/2019\/01\/data-management-vendor-map-sb-cta.jpg\" alt=\"Download Link to Data Management Vendor Map\" width=\"800\" height=\"225\" \/><\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>This is part of Solutions Review\u2019s Premium Content Series, a collection of contributed columns written by industry experts in maturing software categories. In this submission, Precisely COO Eric Yau offers a data integrity framework, along with trends to be aware of and best practices to consider. Organizations are increasingly viewing data as a strategic asset [&hellip;]<\/p>\n","protected":false},"author":355,"featured_media":4407,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3],"tags":[1309,746],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Integrity Framework: Trends and Best Practices for Success<\/title>\n<meta name=\"description\" content=\"Precisely COO Eric Yau offers a data framework, along with trends to be aware of and best practices to consider.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/data-management\/data-integrity-framework-trends-and-best-practices-for-success\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Integrity Framework: Trends and Best Practices for Success\" \/>\n<meta property=\"og:description\" content=\"Precisely COO Eric Yau offers a data framework, along with trends to be aware of and best practices to consider.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/solutionsreview.com\/data-management\/data-integrity-framework-trends-and-best-practices-for-success\/\" \/>\n<meta property=\"og:site_name\" content=\"Data Management Software &amp; 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