You can run a data quality assessment project to examine the quality of existing data.
You can do a data quality assessment, for example, if you:
Have implemented a change in the Data Quality Studio configuration and want to make sure existing data is in line with this change.
Have imported data without applying data quality policies.
Want to periodically check the quality level of your data.
As a data owner, you can review and process data quality assessment results. A data owner can be a:
General data owner who can review and process quality assessment results for all companies.
Company-specific data owner who can review and process quality assessment results only for an assigned company.
For each failed validation rule or duplicate check rule, a separate entry is created in the Quality assessment exceptions log.
The options you must review and solve quality assessment results depend on the origin of the found issues:
Validation rule not met.
Duplicate check finds possible duplicate records.