What Does It Mean?
DG.8.2 Data Management Issue Tracking Register requires an organization to maintain a documented register that records historical data management issues and their resolutions. This register serves as a log for tracking issues raised by both business and technical users, along with the steps taken to address and resolve these issues. It ensures that data management problems are systematically documented, monitored, and resolved, promoting transparency and continuous improvement. This detailed approach will help in ensuring that data management issues are effectively tracked and resolved, contributing to overall data management quality and compliance
Example
An organization might use a tool like JIRA or a custom-built application to maintain an issue tracking register. Suppose a technical user reports a data inconsistency issue. The issue is logged in the register with details such as the date reported, the nature of the problem, steps taken to investigate, and the final resolution. This information is then used to track the issue’s status and verify its resolution.
Activation Guidelines
Tool Selection: Choose a suitable tool or system for tracking issues, such as JIRA, ServiceNow, or a custom-built register.
Documentation Process: Establish a standardized process for logging issues, including fields for issue description, date, affected data, status, responsible person, and resolution details.
User Training: Train business and technical users on how to report issues effectively and use the register.
Regular Updates: Ensure that the register is updated regularly with new issues and resolutions.
Review and Maintenance: Periodically review the register to ensure accuracy and completeness, and update the process as needed.
Success Criteria & KPI
Success Criteria
- Complete and accurate documentation of all reported issues and resolutions.
- Timely resolution of issues, with clear records of the resolution process.
- Evidence of regular updates and maintenance of the issue tracking register.
KPI
- Issue Resolution Time: Average time taken to resolve issues after they are logged.
- Issue Recurrence Rate: Percentage of issues that recur after being resolved.
- User Satisfaction: User feedback on the effectiveness of the issue tracking and resolution process.
- Accuracy Rate: Percentage of issues accurately documented and resolved as per the register.
Some Potential Uses
Audit Trail: Provides a historical record of data management issues and resolutions, useful for audits and compliance checks.
Root Cause Analysis: Helps in identifying recurring problems and their underlying causes, leading to improvements in data management processes.
Performance Monitoring: Tracks the efficiency of the data management issue resolution process and identifies areas for improvement.
Knowledge Base: Serves as a reference for future issues, helping to avoid similar problems and streamline resolution processes.
Dependencies
Issue Reporting Mechanism: A system or tool for reporting and logging issues.
Training and Awareness: Adequate training for users on how to report and track issues effectively.
Change Management: Processes for updating and maintaining the issue tracking register and incorporating feedback from users.
Technical Support: Access to technical support for resolving issues and updating the register.
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