Data Governance

Technical explanation

Governance defines ownership and stewardship, classification, quality expectations, access, metadata, lineage, retention, privacy, security, acceptable use, issue resolution, and lifecycle controls. It coordinates people and decisions; technology supports but does not replace it.

Business relevance

Effective governance improves trust, reuse, compliance, and accountability while reducing duplicated data, unclear ownership, and inconsistent definitions.

Implementation example

An organisation assigns owners to customer-data domains, defines shared terms and quality rules, approves access by purpose, tracks lineage, and records exceptions through a governance forum.

Limitations and common misconceptions

Governance can become bureaucratic if disconnected from delivery. A data catalogue alone is not governance, and central policies fail without domain participation, measurable controls, and enforcement.

Topics

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