Data governance frameworks are structured approaches to managing and utilizing data in an organization. They include policies, procedures, and standards that guide how data is collected, stored ...

I believe that the new data-as-a-service economy needs a horizontal governance framework built on the principles of trust encompassing all four stakeholders. The framework should include: An MSP.

Data governance is a huge but important undertaking, so if you're looking to build your privacy framework on a pre-existing model, consider adopting one of these frameworks: ...

Creating a strong data governance framework can help your organization improve its data quality, integrity, and security — and, in turn, simplify compliance and eDiscovery while also making it ...

Data Governance (DG) is the systematic approach to managing, organizing, and securing an organization’s data assets. For a long time, large organizations were the ones mainly concerned with this topic ...

At a recent conference, I witnessed something that’s become far too common in data leadership circles: genuine surprise that ...

Strong governance ensures state agencies can get maximum value from the information on hand. “We have so many disparate systems collecting data, sometimes redundantly across departments, across ...

Think of this framework not as a scaffold but as an enduring architectural support system, one in which the rules governing the development, integration and management of data are clear.

1. A Progressive Data Governance Framework "Using this framework, organizations can implement data governance incrementally at their own pace and based on specific needs, requirements, and use ...

Data privacy is a necessity for K–12 schools, especially when managing student records around academic performance, attendance and health information. But data governance is also an essential ...