Data Governance: Function and Activities

1. Define Data Governance for the Organization (Planning)

• Perform Readiness Assessment:

  • Assess data management maturity.
  • Evaluate capacity to change.
  • Measure collaboration readiness.
  • Ensure business alignment.

• Perform Discovery and Business Alignment:

  • Discovery:
    • Identify and assess the effectiveness of existing policies and guidelines.
    • Identify opportunities for Data Governance to improve data usefulness and content.
  • Business Alignment:
    • Attach business benefits to Data Governance program elements.

• Develop Organizational Touchpoints:

  • Support alignment and cohesiveness in data governance and management areas outside the direct authority of the Chief Data Officer.

2. Develop the Data Governance Strategy (Planning)

• Define the Data Governance Operating Framework:

  • Consider factors such as the value of data, business models, cultural factors, and regulatory impacts.

• Develop Goals, Principles, and Policies:

  • Establish goals, principles, and policies for Data Governance.

• Underwrite Data Management Projects:

  • Data Governance Council (DGC) defines the business case and oversees project status and progress on data management improvement projects.

• Engage Change Management:

  • Address organization resistance to the Data Governance program.
  • Create a team for planning, training, influencing system development, policy implementation, communication, and implementing new metrics and KPIs.

• Engage in Issue Management:

  • Identify, quantify, prioritize, and resolve data governance-related issues such as authority, change management escalation, compliance, conflicts, conformance, contracts, data security, and data quality.

• Assess Regulatory Compliance Requirements:

  • Evaluate compliance with both government and industry regulations (e.g., Basel II, Peraturan Bank Indonesia, UU ITE).

3. Implement Data Governance (Operational)

• Sponsor Data Standards and Procedures:

  • Define standards for enterprise data models, tool standards, system naming conventions, and other data management procedures.

• Develop a Business Glossary:

  • Provide clear definitions of data terms, including definitions, synonyms, metrics, lineage, business rules, and the steward responsible for each term.

• Coordinate with Architecture Groups:

  • The DGC sponsors and approves data architecture artifacts and may interact with an Enterprise Data Architecture Steering Committee or Architecture Review Board (ARB).

• Sponsor Data Asset Valuation:

  • Ensure proper valuation of data assets.

4. Embed Data Governance (Continuous/Operational)

• Ensure Sustainability:
  • Ensure that the organization accepts and manages data governance.
  • Monitor and measure the function’s results and overcome obstacles that could cause the Data Governance program to falter or fail.