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THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE

PRACTICE
DATA ENGINEERING

Data Governance

The system of decision rights, accountability, policies, standards, and controls used to manage data as an organisational asset.


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

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.


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.


Secondary Topics

AI Governance, Cybersecurity

Sources

DAMA International — DAMA-DMBOK — https://www.dama.org/cpages/body-of-knowledge; IBM — Data Governance — https://www.ibm.com/think/topics/data-governance