Checking the conformance of KPIs

Key Performance Indicators (KPIs) in IBM Process Mining provide a quantifiable measure of process performance in a specified period. By default, Prescriptive Process Mining analyzes the process performance in terms of two KPIs, process duration and process cost. In addition to these default KPIs, you can also add custom KPIs to the process analysis and investigation. For more information about custom KPIs and how to create them, see Custom metrics.

You can set KPI targets for your custom KPIs, specifying whether the goal is to minimize or maximize the metric. The system adjusts the algorithm to highlight relevant influencers and suggest improvements. If a KPI benchmark is set, the initial target uses the lowest value for minimization or the highest for maximization.

When you generate an investigative report by using Prescriptive Process Mining, both the default KPIs and custom KPIs in the project are listed in the report with observed performance values and benchmark values.

You can set benchmark values based on your business requirements in the Data & Settings > KPIs > KPI Benchmarks tab. For more information, see KPI Benchmarks. You can also manually change an original benchmark value directly in the report by clicking the edit (pen) icon on the benchmark tile.

Prescriptive Process Mining also provides you with key comparison insights in which the current observed values are compared against the benchmarks and the previous observed values.

Prescriptive Process Mining identifies the three most nonconformant activities or other contextual factors that affect the KPIs and provides information about their nonconformance.

This information includes the root cause analysis of performance deviations, which also covers the major process factors that caused the deviation. On the Recommended actions tab in the investigative report, Prescriptive Process Mining provides you with a set of recommendations that can help you improve the process.