Data Governance — Enterprise Technology
Data Governance Policy (Enterprise Technology)
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1. Purpose
This policy establishes the data governance framework for enterprise technology systems at [Company Name], ensuring data is managed as a strategic asset across its lifecycle.
2. Scope
Applies to all structured and unstructured data held in [Company Name]'s enterprise systems, including [Key Systems — e.g. ERP, CRM, HRIS, finance, collaboration platforms].
3. Governance roles
4. Principles
[Company Name] adopts the following data governance principles:
5. Data classification
All enterprise data is classified into one of four tiers: Public, Internal, Confidential, Restricted. Handling rules per tier are defined in the Data Classification Standard.
6. Master and reference data
Each master data domain has a designated golden source. Changes to master data follow a documented change-control process owned by the Data Steward.
7. Data quality
Data quality is measured against the six DAMA dimensions (completeness, uniqueness, validity, accuracy, consistency, timeliness). Domain-level KPIs are reviewed quarterly at the Data Governance Forum.
8. Metadata
Business and technical metadata are maintained in [Metadata Tool / Catalogue]. Critical data elements are tagged with owner, steward, classification and retention.
9. Compliance with related policies
This policy operates alongside, and does not override, the [Company Name] Information Security Policy, Data Protection Policy and Records Retention Schedule.
10. Review
Reviewed at least annually by the Data Governance Forum.
Approved by: [Company Owner] Effective date: [Effective Date] Next review: [Review Date]