Configure extreme repetition finding definition

Configure an extreme repetitions finding definition to view a pattern where a transition repeats more than the usual repetition range between the steps.

Before you begin

Role required: sn_process_mining_analyst, sn_process_mining_power_user, or sn_process_mining_admin

Extreme repetitions finding definition surfaces transitions that are repeated significantly more than the median repetition. This helps uncover potential repetition anomalies.

Procedure

1. Navigate to Improvement opportunity definition page.
   For information about the Improvement opportunity definition page, see Set improvement opportunities.
2. Select Create on the Extreme repetitions card.
   For a particular type of automated finding, you can create a maximum of two automated findings.
3. Provide details in the Define section.

   Table 1. Project Definition form

   Field	Description
   Name	Specify a name for your automated finding definition.
   Pattern type	This field is auto-populated. The automated finding definition that you chose to create is displayed here. You can change it if necessary.
   Field to detect the pattern on	Select any field from the table on which you want to detect this pattern. The entire finding definition works on this field.
   Category	Specify a category to which the automated finding definition belongs. The available options are: Quality Automation Conformance Performance
   Active	Select the field if you want this finding definition to be active. By default, it’s selected.
   Table	Displays the table name that you have selected. This field is non-editable.
   Apply to process/project	Displays the table name that you have selected. This field is non-editable.
   Impacted KPIs	Select the KPIs most likely impacted by the findings. Choosing the affected KPIs enables you to assess the business impact. You can view the KPI-related findings in the insights panel of the Process Mining workspace.

4. Select Configure.
   The Configure tab is displayed.
5. Fill the details on the form.
   Default values are provided. You can edit them if needed.

   

   According to the example, records that meet the following conditions are available as improvement opportunities in the Summary and insights page:

   • The minimum repetition is calculated as multiplier x median repetition for transition. In this example, records must meet or exceed 20 times the median repetition.
   • A transition must contain at least 20 records.
   • The top percentage of records in the extreme high repetition category that can qualify. Prevents too many records from being included and focuses on true outliers. In this case it is 2%.
   • A maximum of 5 improvement opportunities will be generated in the Summary and insights page.
6. Select Save and exit.