Data Migration failures are rarely just data problems. They're often governance problems.
Who owns the data?
Who approves mapping rules?
Who resolves quality issues?
Who signs off reconciliation?
Who decides whether the data is ready for production?
Without clear answers, migration teams can spend valuable time resolving ownership gaps instead of conversion issues.
A strong Data Migration Governance Model connects business ownership with technical execution through clear decision rights, quality gates, escalation paths, and measurable acceptance criteria.
The goal isn't more governance meetings.
It's creating enough control to move data confidently from Source → Transformation→ Validation→ Target.
In this article, we explore a practical governance model for enterprise data conversion—and why governance should begin long before cutover.
Read full article here -> Linkedin
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