Data Governance

The framework of policies, processes, and standards that ensure data is managed as a strategic asset, trustworthy, secure, compliant, and fit for its intended uses.

Core Functions

Data Quality: Ensuring accuracy, completeness, consistency, timeliness Data Security: Protecting data from unauthorized access or breach Data Privacy: Managing personal information per regulations and ethics Data Lineage: Tracking where data comes from and how it transforms Data Cataloging: Making data discoverable and understandable Access Control: Managing who can see and use what data

Why It’s Essential for AI

Every AI conversation eventually becomes a data conversation. You cannot build reliable AI on unreliable data. Governance answers the prerequisite questions:

• What data do we have?
• Can we trust it?
• Are we allowed to use it?
• What happens when it changes?

The OODA Loop Application

OBSERVE: What data exists? ORIENT: Can I trust it? DECIDE: What should I prioritize? ACT: How do I improve it?

Governance is not a one-time project but a continuous cycle.

Related: 04-molecule—ooda-data-governance, 04-atom—data-provenance, 04-molecule—data-cascades