Metrics evaluate data and return an integer between 1 and 100. The returned integer, known as a 'metric score', can be used in the profiling of objects and is vital for generating data policies.
Several different metric types are available:
- Completeness Metrics (here)
- Value Metrics (here)
- Business Function Metrics (here)
- Aggregator Metrics (here)
- PDX Channel Metric (here)
- Attribute Comparison Metric (here)
- Attribute Value Analysis Metric (here)
- Conditional Attribute Value Metric (here)
- Number of Referenced Target Object Metrics (here)
In addition to information about the different metric types, this section also covers initial setup of metrics in STEP, creating and editing metrics, and information about viewing the metrics in Web UI and workbench.