Methodology

This sequence diagram illustrates the process of identifying root causes of data issues, developing corrective actions, implementing preventive measures, continuously monitoring, testing and validating remediated data, and updating policies and procedures to ensure data quality sustainability.

The sequence diagram demonstrates the steps for addressing root causes and implementing preventive measures in data quality management. The process begins with the Data Quality Analyst identifying the root causes of data issues. The Data Quality Team and Data Stewards then develop long-term corrective actions. Data Stewards and Data Engineers implement preventive measures, followed by continuous monitoring and review by the Data Quality Team.

This table presents a sustainability methodology, ranging from the identification of the causes of data problems to update policies and procedures. He describes the roles, the necessary actions, the prerequisites and the expected results at each stage, offering a clear roadmap to improve and maintain the quality of the data. |

Sustainability activities