Methodology & Activities

Designing and implementing monitoring for Data Quality requires the involvement and collaboration of the following stakeholders:

  • Data Owners, who are accountable for the level of quality of Data under their scope

  • Technical teams such as R&D Teams or Data Quality Teams within R&D teams who are responsible for implementing Dashboards and alerting mechanisms

  • BDOs, Data Owners, Data Stewards and Data Quality analysts, who are in charge of sharing the Data Quality reports with ADO and other stakeholders

The following diagram presents a high level view of the process:

Monitoring sequence diagram

Process for Data Quality Monitoring



The detailed steps with expected inputs and outputs are outlined in the following table:

Monitoring methodology

Data Quality Monitoring activities


(*)Monitoring template

Please refer to the Data Quality Framework documentation center.