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 ...
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 ...
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 ...
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 ...
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, ...
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 ...
As data is truly a valued asset for an organization, it needs to be guarded closely – part of the reason we’re seeing regulations involving data. Establishing a data governance program can help with ...
Imagine receiving an email from an unknown actor claiming to have taken approximately 2 terabytes of data from your organization’s network. The threat actor provides a file tree and sample files to ...
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 ...
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 ...
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