Purpose

This framework establishes the policies, processes, roles, and controls required to manage organizational data as a strategic asset.

Governance Objectives

  • Improve Data Quality
  • Enhance Compliance
  • Strengthen Security
  • Enable Analytics
  • Support Decision-Making

Governance Structure

Executive Data Council

Responsibilities:

  • Strategic Oversight
  • Policy Approval
  • Investment Decisions

Data Governance Committee

Responsibilities:

  • Standards Management
  • Issue Resolution
  • Compliance Monitoring

Data Owners

Responsibilities:

  • Data Accountability
  • Data Quality Management
  • Access Approvals

Data Stewards

Responsibilities:

  • Data Maintenance
  • Quality Monitoring
  • Metadata Management

Governance Domains

Data Quality

  • Accuracy
  • Completeness
  • Consistency
  • Timeliness

Data Security

  • Access Controls
  • Encryption
  • Monitoring
  • Incident Management

Data Lifecycle

  • Creation
  • Usage
  • Retention
  • Disposal

Compliance

  • Regulatory Requirements
  • Privacy Standards
  • Audit Readiness

KPIs

  • Data Quality Score
  • Data Incident Count
  • Compliance Rate
  • User Adoption Rate

Conclusion

Effective data governance enables organizations to maximize business value while minimizing risk.