What is Data Governance?
Data Governance — The overall management of data availability, usability, integrity, and security in enterprise environments.
Data governance defines who can access what data, how it should be stored, how long it is retained, and how it flows between systems. Without strong governance, AI projects fail because models trained on inconsistent, inaccurate, or non-compliant data produce unreliable outputs.
Frequently Asked Questions
Why does data governance matter for AI specifically?
AI amplifies data quality issues. A model trained on poorly governed data will make systematically wrong predictions. Governance ensures the data feeding your AI is accurate, consistent, and compliant.
What does a data governance framework include?
Data ownership policies, access controls, quality standards, retention schedules, lineage tracking, and compliance mappings to regulations like GDPR, HIPAA, or CCPA.
Who owns data governance in an organization?
Typically a Chief Data Officer or data governance committee. Successful programs require executive sponsorship and cross-functional participation from IT, legal, and business units.