Apply data quality rules on data quality assessment

You can run a data quality assessment to examine the quality of existing data. To run a data quality assessment, you use data quality assessment projects.

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.

You review the data quality assessment results:

1. By table by company.
2. For each table-company combination, by record.
3. For each record, by error or warning.

For each:

• Record with errors or warnings, you can open the source record to make the desired changes.
• Error or warning, you can set the review status.

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.

You can review the full unfiltered list of data quality assessment results.

Using this list, you can:

• For each error or warning, open the source record to make the desired changes.
• Set the review status for one or several errors and warnings at once.