What does issue management involve in the context of DG?

What does issue management involve in the context of DG?

• A. Overlooking minor issues
• B. Identifying, quantifying, prioritizing, and resolving issues
• C. Setting goals without tracking progress
• D. Ignoring stakeholder feedback

Answer: (B)

Issue management in the context of data governance (DG) involves a systematic approach to handle challenges that may arise during the management of data within an organization. The correct choice emphasizes the importance of identifying issues as they arise, quantifying their impact, prioritizing them based on severity or potential disruption, and resolving them in a timely manner. This process ensures that data governance efforts remain effective and aligned with organizational goals. By actively managing issues, organizations can maintain data integrity, ensure compliance, and foster trust among stakeholders. Effective issue management allows for proactive measures rather than reactive fixes, ultimately contributing to the overall success of data governance initiatives. The other responses do not reflect the comprehensive and proactive nature of effective issue management. Overlooking minor issues could lead to larger problems in the future. Setting goals without tracking progress would undermine accountability and improvement efforts. Ignoring stakeholder feedback would hinder the ability to identify and address genuine concerns that could impact data governance strategies.

Issue management in the context of data governance (DG) involves a systematic approach to handle challenges that may arise during the management of data within an organization. The correct choice emphasizes the importance of identifying issues as they arise, quantifying their impact, prioritizing them based on severity or potential disruption, and resolving them in a timely manner. This process ensures that data governance efforts remain effective and aligned with organizational goals.

By actively managing issues, organizations can maintain data integrity, ensure compliance, and foster trust among stakeholders. Effective issue management allows for proactive measures rather than reactive fixes, ultimately contributing to the overall success of data governance initiatives.

The other responses do not reflect the comprehensive and proactive nature of effective issue management. Overlooking minor issues could lead to larger problems in the future. Setting goals without tracking progress would undermine accountability and improvement efforts. Ignoring stakeholder feedback would hinder the ability to identify and address genuine concerns that could impact data governance strategies.