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 ...

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Hospital systems, provider groups, and other healthcare organizations are uniquely situated to drive technological innovation in the provision of healthcare services in large part because of the ...

An effective compliance program is comprised of many moving parts. Critical data is coming in from the variety of tools, documents, systems and technologies needed to run operations. As such, ...

Shinji Kim is the CEO & Founder of Select Star, a fully-automated data discovery platform that helps find, understand and use your data. Today’s data governance challenges aren’t just about how ...

With a data governance program, you can track and trace data while ensuring that data remains compliant with industry standards. Data governance programs are getting more and more attention in the ...

While leaders express confidence in their own data to fuel their AI initiatives, they have also experienced material ...

Starting this month, the NYC Office of Technology and Innovation’s Office of Data Analytics (ODA) will start to convene working groups to establish a citywide data governance program and create ...

As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...

Aside from data, “governance” is the most used term in data governance. Duh! It’s in the name, right? But not only is it the most used, it is also the most misused and misinterpreted. The general ...

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 ...