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Requirements for application

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Custom metrics can be applied in Process map, Statistics, and Filtering. You can see where your metrics are applicable directly on the editor screen.

The sections in this article list the specific requirements for their application.

Process map

Following are the requirements for the process map metric type:

  • Node: Requires aggregation. Uses event context functions. For example, standard total count metric can be implemented via custom metric expression COUNT(EventsPerAttribute)

  • Edge: Requires aggregation and functions valid for edges. It's not possible to access the values of event-level attributes. The standard calculation for total count per edges with custom metric is Count(EdgesPerAttribute)

Statistics

Following are the requirements for the statistics metric type:

  • Event Level Attribute: Requires aggregation. Uses event context functions. For example, AVG(AllInView,DURATION()) returns the average duration of all activities/edges.

  • Case Level Attribute: Requires aggregation. Uses case context functions. It's not possible to access the values of event-level attributes. For example, AVG(CaseEvents, PriceUSD) returns the average value of the attribute PriceUSD.

  • Case Duration Influence: Requires aggregation. Uses case context functions. It's not possible to access the values of event-level attributes. For example, AVG(CasesPerAttribute,DURATION()) returns the average duration of cases for selected case level attribute value.

  • Case Overview: Aggregation isn't needed since Case Overview displays results per individual cases. Uses functions valid for cases. If you want to calculate statistics of all cases and use them in a metric, you need to define the scope of aggregation. For example, DURATION()/AVG(ViewCases,DURATION()) returns the ratio between the specific case duration to the average case duration.

  • Edges: Requires aggregation and functions valid for edges. It's not possible to access the values of event-level attributes. For example, AVG(AllInView,START()) returns the average start date for a given edge.

Filter

Following are the requirements for the filter metric type:

  • Attribute Conditional (event-level attribute): The requirements are the same as for Statistics - Event Level Attribute.

  • Attribute Conditional (case-level attribute): The requirements are the same as for Statistics - Case Level Attribute.

  • Edge Conditional: The requirements are the same as for Statistics - Edges.

  • Metric: The requirements are the same as for Statistics - Case Overview.

Root Cause Analysis

Following are the requirements for the process root cause analysis metric type:

RCA: The requirements are the same as for Statistics - Case Overview in the Statistics section in this article.