{"id":775,"date":"2025-11-05T02:17:45","date_gmt":"2025-11-05T07:17:45","guid":{"rendered":"http:\/\/34.133.94.6\/?p=775"},"modified":"2025-12-22T18:50:06","modified_gmt":"2025-12-22T23:50:06","slug":"data-governance-and-data-stewardship-keys-to-successful-enterprise-data-initiatives","status":"publish","type":"post","link":"https:\/\/blog.data-principles.com\/index.php\/2025\/11\/05\/data-governance-and-data-stewardship-keys-to-successful-enterprise-data-initiatives\/","title":{"rendered":"Data Governance and Data Stewardship – keys to successful enterprise data initiatives"},"content":{"rendered":"\n

By Pete Stiglich<\/em><\/p>\n\n\n\n

Explains that enterprise data initiatives succeed when business involvement is strong, and it distinguishes three kinds of involvement: stakeholders, data governance, and data stewardship. Governance is described as the strategic, enterprise-level practice of treating data as a business asset and making cross-functional decisions (often via a governance board). Stewardship is framed as more tactical and subject-area focused (e.g., Patient, Claim), with business data stewards facilitating definition consensus, quality measurement, and policy compliance. The article also contrasts governance with \u2018data management\u2019 as an operational discipline.<\/p>\n\n\n\n

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Links to third-party articles and resources are provided for informational purposes only. Data Principles, LLC does not claim ownership of, nor imply endorsement by, the referenced organizations.<\/em><\/p>\n\n\n\n

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Pete Stiglich: Trusted Expert in Data Architecture & Modeling<\/strong><\/p>\n\n\n\n

Pete has over 30 years of data architecture, data management, and analytics experience, most of that time as a consultant in industries such as government, finance, healthcare, insurance, and more. He is an industry thought leader in data architecture and data modeling and has developed and taught many courses on these topics. Pete enjoys helping clients solve complex data problems, leveraging proven approaches such as \u201cModeling the business before modeling the solution\u201d which provides a benefit to clients that many IT professionals miss.<\/p>\n<\/div><\/div>\n\n\n\n