Data governance (DG) is a component of data management that focuses on managing access, use, quality and security of enterprise data. Data management in a data governance program is based on internal ...

In the past few years, dozens of high-profile incidents involving data mismanagement have gained international attention. Caught off guard by these failures, the organizations impacted by them have ...

Chris Hayhurst is a freelance writer who covers education technology and healthcare, among other topics. He's a regular contributor to the CDW family of technology magazines Dealing with departmental ...

What is a data governance program? Your email has been sent Data governance programs are getting more and more attention in the corporate world, especially in industries that rely heavily on big data.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. An effective compliance program is comprised of many moving parts. Critical data is coming ...

Data governance is a tough topic, one Jonathan Reichental tackles in his new book in an extremely approachable manner. The new book, "Data Governance for Dummies," hit bookshelves on Dec. 8. In it, ...

After years of ambiguous expectations about data governance, organizations now have a better handle on how these programs can help them manage the exponential growth of the data they generate. More ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

The International Training Program on Policies and Applications of Government Data Governance in Belt and Road (B&R) Countries was successfully held from September 14 to 28, 2025. The program convened ...

The A-D-A-E framework is a governance model that injects ESG accountability, enterprise risk management, regulatory compliance and program discipline into AI.

CU Boulder collects, uses and maintains a significant amount of data. This includes, but is not limited to student, employee, research and finance data. Institutional data supports CU Boulder’s ...