AI Governance

Data Governance

The framework of policies, processes, and standards that ensure data is managed as a valuable asset, maintaining its quality, security, privacy, and compliance.

Also known as:Information GovernanceData Management

What is Data Governance?

Data governance is the overall management of data availability, usability, integrity, and security in an organization. It establishes policies, procedures, and standards for handling data throughout its lifecycle.

Core Components

Data Quality

  • Accuracy and completeness
  • Consistency and validity
  • Timeliness and relevance

Data Security

  • Access controls
  • Encryption
  • Audit trails

Data Privacy

  • Consent management
  • Data subject rights
  • Privacy compliance

Data Lifecycle

  • Creation and collection
  • Storage and processing
  • Retention and disposal

Key Roles

Data Steward

  • Day-to-day data management
  • Quality monitoring
  • Policy enforcement

Data Owner

  • Business accountability
  • Access decisions
  • Policy approval

Data Custodian

  • Technical management
  • Security implementation
  • System administration

Data Governance Council

  • Strategy and oversight
  • Policy development
  • Issue resolution

Implementation Framework

  1. Strategy

    • Goals and objectives
    • Scope definition

  2. Organization

    • Roles and responsibilities
    • Governance structure

  3. Policies

    • Standards and guidelines
    • Procedures

  4. Technology

    • Data catalogs
    • Quality tools
    • Metadata management

  5. Metrics

    • KPIs
    • Monitoring
    • Reporting
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