Tracking & Reporting

Tracking & Reporting

Data Reviewer provides a framework for managing the data quality process that ensures error results are properly managed through-out their lifecycle. Typically there are three stages to the data quality management process:

  • Review data for errors: Leveraging Data Reviewer's automated and manual QC tools errors are detected and recorded to the Reviewer workspace.
  • Correct errors: Whether it is you, another team member, or a contractor that is correcting the errors, Data Reviewer aids by recording details of who, when, and how these errors were resolved.
  • Verify: During verification data owners can verify if the corrections made are acceptable and that no new issues have been introduced into the data by re-running the same tools used in the review stage.

Data Reviewer enables the tracking and measurement of data quality across multiple reporting platforms. This includes out-of-the-box tabular reports that can be leveraged to gain insight into the scale and magnitude of errors detected during data validation and data quality reporting services which can be leveraged to create interactive dashboards to identify error trends across the enterprise.