If you are looking to build some custom reports on the results of your data quality assessment - beyond what is available with the Information Steward's Data Quality Dashboards - you can leverage the Failed Data Repository as the database to meet your custom reporting needs.
The Failed Data Repository provides you information about failed data from your validation rules within a supported relational database system. Information includes:
For detailed information about the above referenced tables, see the section on "Accessing additional failed data information" in the Information Steward User Guide. The diagram below shows the relationships between the failed data tables.
As an example, the total rows that were validated during the run is available in the IS_FD_RUN_HISTORY table (TOTAL_ROWS column) for each IS task. And, you can join the *_FD tables to get at the failed data counts per rule/task.
To leverage a Failed Data Repository for custom reporting, you must first establish a connection to the database within the Central Management Console (CMC). Ensure that the connection type is "For data that failed rules." The image below shows an example of the connection parameters, many of which will change depending on the Database Type selected. For the most current listing of supported databases, please check out the SAP Information Steward PAM.
When executing a rule or set of rules (per task), you can select to save the failed data to one of the Failed Data Repositories that you have previously configured.
This is the Data Quality Scorecard Detailed View, from here you can view the failed data:
This gives you the Failed Data screen. Once you have set up the Failed Data Repository, this will give you access to "View More Failed Data" to get beyond the 500 record sample data size.
Although the Information Steward Repository is not a supported means to exact data from custom reporting, here are a few Information Steward Repository Views that may contain some additional information to meet your needs:
How to Create Detailed Failed Data Reports as Part of your Data Quality Analysis
SAP Information Steward Failed Data ReportingInformation Steward Failed Data Reporting
SAP Information Steward: DQ Reporting of the SAP HANA Live Layer with Lumira Demo
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