This article expands upon my previous article outlining the basic inputs when creating a data governance team. (I’d encourage reading Part 1 here before diving into Part 2 so you can get the ...

In today’s global supply chains, where delays in procurement, stockouts, and compliance gaps can disrupt entire operations, ...

developing an effective data governance framework is not something that happens overnight. It takes time to assemble the team, identify critical gaps, define objectives, and implement solutions.

Data governance tools enable an organization to ... the primary users of a particular tool might be a business team hoping to put data to use in decision making, an IT taskforce seeking to improve ...

3. The tools by which data governance operates are important. Data governance relies heavily on automation, “so to execute a successful program, the team needs to ensure it has the right tools,” Rowan ...

The tool fosters collaboration among data scientists, analysts and the data governance team by providing open metadata management and governance capabilities for organizations to build a catalog ...

If you are on a data governance or security team, consider the metrics that CIOs, chief information security officers (CISOs), and chief data officers (CDOs) will consider when prioritizing ...

Finally, organizations must develop data governance policies. These policies are standards created to communicate the key processes and team responsibilities required to govern data. Some examples ...

data governance must be seamlessly plugged into the program. This means ensuring inclusiveness. In other words, doing the right thing and doing it well. This includes making it possible for team ...