Data Quality Exceptions

Sometimes there are legitimate exceptions to Data Quality Rules, when information is accurate but still meets the criteria to appear in the alert. In these cases, users can submit exceptions in order to remove these violations from their scorecards.

After logging in to the Data Quality Tool, users can find Exception Forms linked in the More Info… box on the Rule Report page. By filling out the exception form and explaining the situation, the violation will then be removed from the Data Quality scorecard.

An example of a valid exception is when a student is over age and getting caught by an age verification rule. Filling out the Exception Form will remove this student from the scorecard report.

Not all rules allow exceptions. If you have found an error where the Data Quality Tool does not appear to be working correctly or where you think there needs to be an exception but no Exception Form is available, please fill out the Data Quality Error Form.