What is Data Governance?

Data governance refers to the policies, processes, and frameworks that ensure data quality, security, and compliance within an organization. It defines roles, responsibilities, and standards for data management, enabling regulatory compliance and risk mitigation in data-driven businesses.

Data governance sets the rules for who may use data and under what conditions. Whether an approved dataset is actually ready for a given AI run, and whether that run can be reproduced and traced afterward, is a separate question at the execution layer.

Frequently asked questions

What does data governance cover?

Access control, data quality standards, regulatory compliance, and clear ownership and accountability for an organization's data.

How is data governance different from data management?

Governance defines the policies and accountability, while management is the day-to-day work of carrying those policies out.

Does data governance make data ready for AI?

It sets who may use data and under what rules, but not whether a specific dataset is usable and reproducible in a given AI run. That readiness sits at the execution layer.