Scorecards
A scorecard is the graphical representation of the valid values for a column or output of a rule in profile results. Use scorecards to measure data quality progress. You can create a scorecard from a profile and monitor the progress of data quality over time.
A scorecard has multiple components, such as metrics, metric groups, and thresholds. After you run a profile, you can add source columns as metrics to a scorecard and configure the valid values for the metrics. Use a metric group to categorize related metrics in a scorecard into a set. A threshold identifies the range, in percentage, of bad data that is acceptable for columns in a record. You can set thresholds for good, acceptable, or unacceptable ranges of data.
When you run a scorecard, you can configure whether you want to drill down on the metrics for a score on the live data or staged data. After you run a scorecard and view the scores, you can drill down on each metric to identify valid data records and records that are not valid. You can also view scorecard lineage for each metric or metric group in a scorecard. To track data quality effectively, you can use trend charts and monitor how the scores change over a period of time.
The profiling warehouse stores the scorecard statistics and configuration information. You can configure a third-party application to get the scorecard results and run reports. You can also display the scorecard results in a web application, portal, or report such as a business intelligence report.