Data governance is a data management discipline. It ensures that the data managed by an organization is available, usable, consistent, trusted and secure. In a majority of companies, IT is the ...

Data governance must ensure users can trust data enough to move faster, make smarter decisions and build better products, ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Enhance your data strategy with effective data quality and data governance practices. Learn their differences and how to integrate the strategies successfully. Image: Dmitry/Adobe Stock Data quality ...

As artificial intelligence tools spread across enterprise operations, CIOs face a practical question that no amount of vendor ...

made reliable, accurate, and available to those with authorized access interpreted consistently across the university reported appropriately and reliably to external agencies and constituents ...

The healthcare and enterprise sectors in the U.S. are experiencing major changes because businesses now prioritize dat ...

Informatica's Cloud Data Governance and Catalog is the latest addition to the company's data management as-a-service portfolio. It's a relaunch of an older set of services that have been rebuilt from ...

The State University of New York College of Environmental Science and Forestry (SUNY ESF) strives to establish an essential framework for the necessary control and enforcement mechanisms of ...

Data and analytics governance is a comprehensive framework that outlines a strategy to implement the university data governance policy with the processes and guidelines necessary to manage the ...

Ensure the ethical and responsible use of Purdue University data. Ensure data does not enter 3rd party AI tools without appropriate legal agreements. Ensure any AI tool going to production follows ...

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 ...