What is data governance?

Data governance is the system of decision rights, accountabilities, policies, and processes that an organization uses to manage data as an asset. It defines who can take which actions on which data, under what circumstances, and using what methods. It covers data quality, metadata, lineage, access control, classification, retention, and regulatory compliance.

What is the difference between data governance and data management?

Data governance defines the rules — who decides, who is accountable, what the policies are. Data management executes against those rules — pipelines, storage, quality monitoring, cataloging, integration. Governance is the policy layer; management is the operational layer. The two are interdependent but distinct disciplines.

Who should own data governance in an organization?

Ownership is typically split: a Chief Data Officer or equivalent executive owns the program, a data governance council sets policy, data stewards in business domains own the rules for their data, and data engineering executes the technical controls. The exact structure depends on company size and regulatory exposure, but governance is never just an IT or just a business function — it has to span both.

Is The Data Governor written by practitioners?

Yes. The Data Governor is a practitioner-authored editorial site. Articles are written from real implementation experience, not by AI or by content marketers. There is no paywall, no sign-up, and no sponsored content.

Data Governance for Practitioners

Data governance, from the trenches.

The Data Governor is a practitioner-authored resource for data governance — covering frameworks, master data management, metadata, data quality, and compliance (GDPR, CCPA, HIPAA). 107+ in-depth articles and free, ready-to-use templates drawn from real enterprise programs. No vendor marketing, no fluff.

Browse the archive Free templates

Data Governance Latest

Data Governance Glossary: 80 Terms (2026)

The definitive practitioner's glossary of data governance terms — from access control to zero-trust data — with practical context, not vendor marketing.

Apr 25, 2026 Read article →

Data Catalog Metadata: Capture, Inherit, and Maintain at

Metadata management in data catalogs: what to capture, inheritance patterns, how to reduce manual effort, and keep metadata fresh without burnout.

Jun 25, 2026

Data Governance Tools

Collibra vs Microsoft Purview: 2026 Buyer's Guide

Collibra vs Microsoft Purview compared for 2026: catalog depth, lineage, pricing, Azure lock-in, and which data governance platform fits your stack.

Jun 19, 2026

Data Management

What Is Data Observability? A Practitioner's Guide

Data observability explained: the five pillars, how it differs from data quality, tooling, and how to catch pipeline issues before they reach the business.

Jun 19, 2026

Quick reads

01
Data Subject Access Requests (DSARs): A Practical Guide Compliance · Jun 18, 2026
02
Data Profiling: Techniques, Tools, and Best Practices Data Management · Jun 15, 2026
03
What Is Microsoft Purview? A Practitioner's Guide Data Governance Tools · Jun 14, 2026
04
MDM Implementation Styles: Registry to Centralized Data Management · Jun 13, 2026
05
Data Retention Policy: How to Build One That Holds Up Compliance · Jun 12, 2026

From the archive

Data Governance Tools

Data governance, from the trenches.

Data Governance Glossary: 80 Terms (2026)

Data Catalog Metadata: Capture, Inherit, and Maintain at

Collibra vs Microsoft Purview: 2026 Buyer's Guide

What Is Data Observability? A Practitioner's Guide

Open Source Data Catalogs: DataHub vs OpenMetadata

Data Governance Council: Structure, Roles, and How to Run One

Data Quality Metrics & Monitoring: A Practitioner's Framework (2026)

Data Compliance & Regulations: The Complete Guide

Data Governance Business Case: The Numbers CFOs Care About

Data Lineage for Compliance: Practical Impact Analysis

Data Mesh and Data Governance: Three Ways They Collide (And How to Resolve Them)

How to Build a Data Stewardship Program That Lasts

Data Governance Metrics That Drive Budget (Past Vanity KPIs)

Data Mesh Governance: 5 Stewardship Patterns That Work