Conformance Checking focuses on the comparison of existing process models with event logs of these processes by calculating deviation metrics. Thus, the conformation of reality from event logs with an assumed process model becomes accessible and valuable insights into process deviations can be gathered.

 

A core element of Conformance Checking is the concept of happy paths. In combination with specific Conformance Metrics these happy paths provide an easily understandable comparison methodology.

 

The Conformance sheet page shows how conformance checking results are presented while the chapter Perform Conformance Checking on Your Process Mining Data shows how to use the mpmX Conformance Checking algorithms on an event log.

 

Conformance Checking can be expected to deliver different insights into processes:

 

1.An highly aggregated conformance KPI depicting the process quality.

2.Indication of the most common deviations.

3.Indication of deviation-causing root causes.