Chart Basics

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There are four ways to use Charts in QPR ProcessAnalyzer Process Discovery and Dashboards:

  • Using default analysis elements in Process Discovery
  • Using presets
  • Creating your own ChartView analysis elements
  • Creating custom KPIs with ExpressionLanguage

Default analysis elements in Process Discovery

In Process Discovery you can use the default analysis elements by browsing the header tabs on top of the ChartView. You can see more options by clicking on the left and right arrows. Each type of analysis is explained below.

ProcessDiscoveryAnalysisView1.png

Cases

Tabs 1cases.png

  • Case ID: The individual identifier assigned to a case.
  • Case start: Time stamp of the first event of the case.
  • Case end: Time stamp of the last event of the case.
  • Case duration: End-to-end duration from the first event of the case to the last event of the case.
  • Latest event: Last event in the chain of events of the case.
  • Events: Count of event occurrences in the case.
  • Event types: Count of event types in the case.


Events

Tabs 2events.png

  • Case ID: The individual identifier assigned to a case.
  • Event type: Name of the event.
  • Event time: Time stamp of the event.
  • Duration from case start: Duration between the event and the first event of the case.
  • Duration from previous event: Duration between the event and the event preceeding it.
  • Event order number: Sequence/index number of the event within the case.

Event Types

Tabs 3eventtypes.png

  • Event type: Name of the event.
  • Cases: Count of cases containing the event type.
  • Events occured: Event count of the event type in all (filtered) cases.
  • Incoming flows: Number of event types directly preceeding the event type within the selected cases.
  • Outgoing flows: Number of event types directly following the event type within the selected cases.
  • Events per case: Calculation rule: Events occurred / Cases.

Case Attribute profiling

Tabs 4caseattributes.png

Case Attribute profiling visualizes the break down of the case count according to Case Attribute values. You can choose different Case Attributes to analyze by toggling the drop down menu. The Visualization defaults to bar chart which you can change from the "General" tab of the Chart Settings.

Event Attribute Profiling

Tabs 5eventattributes.png

Event Attribute profiling visualizes the break down of the event count according to Event Attribute values. You can choose different Event Attributes to analyze by toggling the drop down menu. The Visualization defaults to bar chart which you can change from the "General" tab of the Chart Settings.

Case duration analysis

Tabs 6caseduration.png

Case duration analysis breaks down the case count according to the duration of the cases within the (filtered) dataset. You can choose the granularity of the case durations from the dropdown menu. The Visualization defaults to column chart which you can change from the "General" tab of the Chart Settings.

Event duration analysis

Tabs 7eventduration.png

Event duration analysis breaks down the flow duration between two selected events. You can choose the analysis target by either:

  • Selecting a flow from the flowchart.
  • Toggling the "Start" and "End" drop down menus and selecting the desired events.

You can choose the granularity of the event durations from the "Time unit" dropdown menu. The Visualization defaults to column chart which you can change from the "General" tab of the Chart Settings.

Case counts

Tabs 8casecounts.png

Case Counts analysis breaks down the Case Count based on the starting time of the (filtered) Cases in the data. You can choose the granularity of the time periods from the "Period" drop down menu. The Visualization defaults to column chart which you can change from the "General" tab of the Chart Settings.

Event counts

Tabs 9eventcounts.png

Event Counts analysis breaks down the Event Count based on the starting time of the (filtered) Events in the data. You can choose the granularity of the time periods from the "Period" drop down menu. The Visualization defaults to column chart which you can change from the "General" tab of the Chart Settings.

Variations

Tabs 10variations.png

Variations analysis aggregates Case Counts of identical process flows and sorts them in a descending order of Case Count. When Events in case > Event types in case, there is rework and/or looping in the process.

  • Cases: Count of cases containing the specific process flow variation
  • Average duration: Average duration of the specific process flow variation
  • Events in case: Count of occurred events in the process flow variation
  • Event types in case: Count of event types in the process flow variation

Flows

Tabs 11flows.png

Flows analysis aggregates all start event to end event flows and sorts them in a descending order of Average duration of the flows.

  • Start: Name of the start event of the flow.
  • End: Name of the end event of the flow.
  • Average duration: Average duration of the flow.
  • Median duration: Median duration of the flow.
  • Cases: Count of cases which contain the flow.
  • Occurrences: Count of flow occurrences.
  • Looping: Looping percentage (repetition per case count). Calculation rule: (Occurrences / Cases - 1) * 100.
  • St.dev.: Duration standard deviation of the flow.

Root causes

Tabs 12rootcauses.png

To be updated

Clustering

Tabs 13clustering.png

  • Feature and Value: These two columns list the case attribute and other values that are common to the cases in the cluster.
  • Cluster Density %: Share of cases having this feature value within the cluster (i.e. the number of cases having the value shown on the row in this particular cluster divided by the number of cases in the cluster * 100).
  • Total Density %: Share of cases having this feature value in the whole data set (i.e. the total number of cases having the value shown on the row divided by the total number of cases * 100).
  • Contribution %: Amount of cases that can be explained to belong to this cluster because of this feature value. The scale is such that 0% means that the feature value isn't specific to this cluster and 100% means that all cases belonging to this cluster can be explained by this feature value.

Using presets

ProcessDiscoveryAnalysisView2.png

You can expand your selection of analyses to 50+ pre-made presets. To open the presets you need to:

  • Click on the ChartView area
  • Click on the cog on the top-right corner to open the Chart Settings
  • Select you preferred analysis from the use cases in the "Presets" tab





Creating your own ChartView analysis elements

To create your own customized analysis views you can toggle the values directly in Chart Settings. Most of the time you can understand "Dimensions" as the X-axis of the chart and "Measures" as the Y-axis of the chart. To get started please see QPR ProcessAnalyzer Chart or reach out to QPR staff for advice. In order to avoid any unexpected errors it is adviced to start from a blank ChartView by clicking "Create New" under the "Presets" tab.

Creating custom KPIs with ExpressionLanguage

For more complicated calculations which cannot be done with standard configuration options you need to use ExpressionLanguage code. ExpressionLanguage is a JSON based QPR language that is used for building KPIs in QPR ProcessAnalyzer. To get started please see QPR ProcessAnalyzer Expressions or reach out to QPR staff for advice.

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