Standards
Root Cause Analysis Matrix
This table presents the analysis of the deep causes of data problems, detailing the types of errors, the analysis techniques used, the responsible teams, as well as the conclusions and the next steps for each dataset.
Disclaimer: Please note that the proposed combinations are based on industry best practices. When necessary, they can be customized to meet local specificities and requirements.
Long-term Action Planning
This table describes the corrective actions provided for data quality problems, detailing the stages, the responsible teams, the necessary resources, the milestones, and the monitoring plans for each dataset, as well as the expected results.
Disclaimer: Please note that the proposed combinations are based on industry best practices. When necessary, they can be customized to meet local specificities and requirements.
Implement sustainable corrective measures and preventive actions
This table presents guidelines to manage sustainable corrective measures and preventive actions for data quality problems.
Disclaimer: Please note that the proposed combinations are based on industry best practices. When necessary, they can be customized to meet local specificities and requirements.
Monitoring and Review
This table presents continuous monitoring activities for data quality problems, specifying surveillance tasks, responsible teams, tools used, the frequency of verification, revision criteria, necessary documentation and expected results.
Disclaimer: Please note that the proposed combinations are based on industry best practices. When necessary, they can be customized to meet local specificities and requirements.
Verification
This table details verification activities for data quality problems to test and validate that the remediated data meets the required data quality standards and that the implemented corrective and preventive actions are effective.
Disclaimer: Please note that the proposed combinations are based on industry best practices. When necessary, they can be customized to meet local specificities and requirements.
Policy and Procedure Updates
This table presents the updates of the policies and procedures necessary to remedy data quality problems to revise existing policies and procedures to incorporate long-term corrective actions and preventive measures, ensuring continuous data quality improvement.
Disclaimer: Please note that the proposed combinations are based on industry best practices. When necessary, they can be customized to meet local specificities and requirements.
Sustainability templates
Please refer to the Data Quality Framework documentation center.