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Data Governance

Who Really Owns Your Data?

Data ownership is one of the simplest questions in data management and one of the easiest to leave unanswered. When accountability is unclear, issues move between teams instead of being resolved.

Ownership is different from stewardship

Ownership concerns accountability for business meaning, policy, and decisions. Stewardship is often closer to day-to-day management and quality execution. Both roles need clear boundaries.

Why ownership becomes critical during transformation

Transformation programs expose decisions about definitions, mappings, retention, quality thresholds, and exceptions. If nobody has authority to make those decisions, technical teams can become the default decision makers for business questions.

Create practical decision rights

For critical data objects, define who approves definitions, who resolves quality exceptions, who authorizes changes, and who accepts residual risk. These decisions should be visible and repeatable.

Axiums perspective

Ownership should make decisions faster, not slower. Clear accountability reduces escalation loops and gives data work a business home.

Key takeaways
  • Name accountable owners for critical objects.
  • Separate decision rights from execution responsibilities.
  • Document escalation and exception paths.
  • Review ownership as business structures and processes change.