Data governance issues are grouped into several categories: data quality, data classification, data ownership, data access control, data privacy compliance, data retention and purging, data audit and monitoring, data documentation, data governance training, and overall data governance key performance and risk indicators. Common issues include inaccurate or missing data, unclassified or misclassified data, undefined data owners, unauthorized data access, non-compliance with privacy laws and policies, data retained past retention periods, infrequent audits, incomplete documentation, and lack of training and policy awareness.

1. Data Quality
1. Data Accuracy
2. Data Completeness
1. Inaccurate or inconsistent data
2. Missing or incomplete data
Data Classification
3. Data Classification Coverage
4. Sensitivity Label Accuracy
3. Unclassified or misclassified data
4. Incorrect sensitivity labels
Data Ownership
5. Data Ownership Assignment
6. Data Owner Accountability
5. Undefined or multiple data owners
6. Lack of data owner responsibility
Data Access Control
7. Access Authorization Effectiveness
8. Access Request Timeliness
7. Unauthorized data access incidents
8. Delays in granting or revoking access
Data Privacy
Compliance
9. GDPR/CCPA Compliance
10. Data Privacy Policy Adherence
9. Non-compliance with data privacy laws
10. Violations of data privacy policies
Data Retention
and Purging
11. Data Retention Policy Adherence
12. Data Purge Timeliness
11. Data retained beyond retention periods
12. Delays in data purging
Data Audit and
Monitoring
13. Data Audit Frequency
14. Data Audit Findings Resolution
13. Infrequent data audits
14. Unresolved audit findings
Data Documentation 15. Data Documentation Completeness
16. Data Lineage Accuracy
15. Incomplete or missing data
documentation
16. Incorrect or incomplete data lineage
Data Governance
Training
17. Data Governance Training
Completion
18. Policy Acknowledgment
17. Lack of awareness in data governance
18. Policy non-compliance by employees
Category KPIs KRIs
Data Governance KPIs and KRIs
Assess the effectiveness and risks in governing and managing organizational data to maintain
data quality and integrity.