Data Issue Management

Issues

How data governance assists in identifying, managing, and resolving data-related issues:

• Data Quality Issues: Managing and resolving data quality problems.

• Naming and Definition Conflicts: Addressing conflicts in data naming and definitions.

• Business Rule Conflicts: Clarifying and resolving business rule conflicts.

• Data Security and Privacy: Handling issues related to data security, privacy, and confidentiality.

• Regulatory Non-Compliance: Addressing regulatory non-compliance issues.

• Non-Conformance Issues: Managing non-conformance with policies, standards, architecture, and procedures.

• Conflicting Policies: Resolving conflicts among policies, standards, architecture, and procedures.

• Stakeholder Conflicts: Addressing conflicting stakeholder interests in data and information.

• Change Management: Managing organizational and cultural change management issues.

• Governance Procedures and Decision Rights: Resolving issues related to data governance procedures and decision rights.

• Data Sharing Agreements: Negotiating and reviewing data sharing agreements.

Management, Control, Escalation

Data Governance implements issue controls and procedures:

• Issue Management:

  • Identifying, capturing, logging, and updating issues.

• Tracking:

  • Tracking the status of issues.

• Documentation:

  • Documenting stakeholder viewpoints and resolution alternatives.

• Discussion:

  • Facilitating objective, neutral discussions where all viewpoints are heard.

• Escalation:

  • Escalating issues to higher levels of authority when necessary.

• Resolution:

  • Determining, documenting, and communicating issue resolutions.