Data & Analytics

Data Governance Framework Diagram

Map governance roles, policies and controls from council down to data assets.

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What's in this template

11 connected components you can rename, recolor, and extend with AI.

Policies & StandardsData ClassificationRetention RulesRoles & AccountabilityData OwnersData StewardsControl DomainsData QualitySecurity & PrivacyMetadata & LineageCompliance & Audit

A data governance framework diagram lays out the hierarchy that keeps organizational data trustworthy and compliant. At the top sits a governance council, branching into policies and standards, roles such as data owners and stewards, and control domains covering data quality, security and privacy, metadata and lineage. Each branch breaks down into concrete responsibilities and controls applied to data assets.

Chief data officers, governance leads and compliance teams use this diagram to formalize accountability and meet regulations like GDPR. It is the clearest way to present a governance operating model, show how stewardship roles and policies cascade, and map which controls protect sensitive data across the organization.

Great for

  • Governance program kickoff
  • Compliance and audit reviews
  • Stewardship role definition
  • Executive data strategy decks
  • GDPR readiness documentation

Frequently asked questions

What is a data governance framework?+

It is a structured set of policies, roles and controls that defines how an organization manages the availability, quality, security and compliance of its data assets.

What are the key roles in data governance?+

Typical roles include a governance council that sets direction, data owners accountable for domains, and data stewards who manage day-to-day quality, definitions and access for specific datasets.

What are the components of data governance?+

Core components are policies and standards, clear roles and accountability, and control domains covering data quality, security and privacy, metadata and lineage, and compliance and audit.

Why is data governance important?+

It ensures data is accurate, secure and compliant with regulations like GDPR, building trust in analytics and reducing risk from misuse or breaches.

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