Managing data quality exceptions and workflows

You can manage data quality problems that are discovered within the information landscape of your enterprise.

When quality issues are found in your data, exceptions are generated and stored. For example, a data rule that is run in IBM® InfoSphere® Information Analyzer generates an exception set for all records that do not meet the conditions of the data rule. The generated exception set also creates a new exception event and triggers an application to send exception sets to Data Quality Exception Console. Data Quality Exception Console then displays the exception sets and their associated exception detail records. You can use Data Quality Exception Console to monitor and manage the priority of these data quality issues.

All InfoSphere Information Analyzer rules and IBM InfoSphere DataStage® and QualityStage® jobs that generate exceptions send exception sets to Data Quality Exception Console. Within Data Quality Exception Console, you can specify which exception sets are to be managed. IBM BPM workflows are addressed and resolved by a data steward team according to your specific business requirements by using IBM Stewardship Center.

The status of exception sets that are managed with IBM Stewardship Center is updated and displayed in Data Quality Exception Console, which you use to monitor the progress in resolving data quality issues.