Data Governance: How Organizations Make Data Trustworthy

Data governance is dismissed as bureaucracy and misunderstood as an IT chore, yet it is what separates organizations that can trust their data from those drowning in conflicting numbers. This cursus explains it clearly and practically: what governance actually is and why most programs fail, who owns data through roles and operating models, the machinery of quality, metadata, lineage, and master data, and the control layer of classification, access, and policy that keeps data safe while still usable.