Data governance may best be thought of as a function that supports an organization’s overarching data management strategy. Such a framework provides your organization with a holistic approach to ...

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 ...

These frameworks act as guidelines to support organizations in developing effective data governance strategies. Some examples of common frameworks include the Eckerson framework and the DGI Data ...

most notably the adoption of the European GDPR framework for data protection laws. Regulations went into effect in the spring of 2018 and the ISACA updated the governance principles of COBIT to ...

Using the following best practices, you can build a robust data governance framework that will help your organization improve the quality of its data and, in turn, give you access to the insights ...

AMH is an independent media house free from political ties or outside influence. We have four newspapers: The Zimbabwe ...

and move data around, computational governance is an approach that imposes a consistent, automated governance framework throughout the enterprise. It’s a revolutionary approach that enables ...

Data governance metrics are thematic and focus ... measuring effectiveness comes down to what framework and level you select, and then monitoring what percentage of your organization is in compliance.

To balance these issues, a Data Governance Roadmap has been released by Maynooth University and the Innovation Value Institute (IVI), presenting a strategy to use data and AI responsibly and ...

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 ...