The exception management stage often occurs toward the end of the data quality cycle. Earlier stages might use profiles and mappings to measure the quality of the organization data and to enhance the quality of the data. Exception management defines the manual operations that users can perform on the records that fall short of the data quality targets in the current cycle.

You might work in a team of data stewards that implements the data quality process. Or, you might be a business user who defines the data quality standards that the data must meet. In both cases, you can own exception management tasks in the Analyst tool.