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. Scorecards help the organization to measure the value of data quality by tracking the cost of bad data at the metric and scorecard levels. To measure the cost of bad data for each metric, assign a cost unit to the metric and set a fixed or variable cost. When you run the scorecard, the scorecard results include the cost of bad data for each metric and total cost value for all 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 to columns in a record. You can set thresholds for good, acceptable, or unacceptable ranges of data.

When you run a scorecard, configure whether you want to drill down on the score metrics on live data or staged data. After you run a scorecard and view the scores, 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 score trend charts and cost trend charts. These charts monitor how the scores and cost of bad data 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.