Data Governance: Managing Data as a Business Asset

Data Governance: Managing Data as a Business Asset

Data governance is the framework of policies, processes, standards, and responsibilities that ensure data is managed as a valuable, trusted, and compliant asset. As organisations accumulate more data across more systems, governance becomes essential to maintaining data quality, security, and regulatory compliance.

Core Data Governance Components

• Data catalogue: An inventory of data assets — what data exists, where it lives, what it means, who owns it, and how it is used
• Data dictionary: Definitions of data terms and fields — ensuring consistent understanding across the organisation
• Data ownership: Named individuals responsible for the accuracy, completeness, and appropriate use of specific data domains
• Data policies: Documented rules governing data access, retention, sharing, and quality standards
• Data lineage: Tracking how data flows from source to consumption — enabling impact analysis and audit

Data Governance and GDPR

Many data governance activities directly support GDPR compliance: maintaining a Record of Processing Activities (ROPA) requires knowing what personal data you hold and why; data retention policies require automated enforcement; data subject rights require the ability to locate and delete personal data across systems.

Starting a Data Governance Programme

Data governance does not require a large team or complex tooling to start. Begin with: defining your most important data domains, assigning ownership, documenting key definitions, and establishing a simple review process. Governance tools (Collibra, Alation, DataHub) become valuable at scale — but documentation in Confluence or Notion is sufficient initially.