As a data quality officer, you can review and process data quality assessment results. A data quality officer can be a:

• General data quality officer who can review and process quality assessment results for all companies.
• Company-specific data quality officer 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 to the record.
• If a Data entry workflow integration is set up for the quality assessment project, for each record with errors or warnings, you can start a data entry workflow to make the desired changes to the record.
  Note: You can start only one data entry workflow for each record with errors or warnings. A record can fail several validations or duplicate checks. For each failed validation or duplicate check, a separate entry is created in the Quality assessment exceptions log. So, if you have started a data entry workflow for an entry, you cannot start another data entry workflow for another entry of the same record.
• If possible duplicate records are found, review the possible duplicate records.
• If possible duplicate records are found, mark which record is the master record and merge field values from the other duplicate records to the master record.
• Set the review status for one or several errors and warnings at once.

Standard procedure

1.	Go to Data quality studio > Inquiries > Quality assessment exceptions log.
2.	Sub-task: Review and edit source record.
2.1	For each error or warning, you can open the source record to review the error or warning and, if desired, make changes.
	In the list, find and select the desired error or warning.
2.2	Click Open source record.
	Note: If a Data entry workflow integration exists for the data quality assessment project, you can start a data entry workflow to make the desired changes. To do so, select an entry, and click Run workflow.
2.3	If desired, click Edit, and make changes to solve the errors or warnings.
2.4	Close the page.
3.	Sub-task: Change review status to 'Accept deviation'.
3.1	With regards to setting the review status, usually, you use the log only to set the review status to 'Accept deviation'. For example, you want to accept the found deviations from the data quality policy rules for now.
	In the list, find and select the desired errors and warnings.
3.2	Click Change status to open the drop dialog.
3.3	In the Review status field, select 'Accept deviation'.
	Note: If desired, you can also select one of the other review statuses.
3.4	Define a reason code to explain why you accept the deviation.
	In the Reason code field, you can enter or select the desired reason code.
3.5	In the Reason notes field, type a value.
3.6	Click OK.
3.7	Click Yes.

See also

• Data entry workflow integration