A data model represents the definition of the process you are trying to analyze.  For example, the status workflow of service requests or incidents, or the assignment group changes for tasks.   Once a data model is defined, Workflow Analytics can be accessed which will extract all the worflow events related to the Data Model, and enable the analytical, visualization and optimization experience

The easiest way to create a Data Model is to use the ‘Model Wizard’.  This will walk you through each step.  

To create a Data Model manually, follow the steps below;

  1. Select the Data Models option in the app menu and click ‘Create’.  
  2. Enter the name and a description of the Data Model e.g. ‘Incidents – Status’ and ‘Analyse the performance of incident workflows’
  3. Select one or more Projects you want to extract the event data from
  4. Select one or more Issue types you want to extract event data for
  5. Select one or more Activities (defined in Activities)
  6. Enter the from and to date for the issues to be extracted into Workflow Analytics
  7. Select one or more issue attributes that you want to include in the data model.  These attributes will allow you to slice and filter the workflow data within the model.  As a rule of thumb, the more attributes the better as these improve the automated discovery of workflow problems
  8. If the 'External Save' option is enabled within the Workflow Analytics - Settings page in Manage Apps, then the 'Save event log' option will be available.  This will enable saving of the workflow data after the extraction, thus removing the need for the data to be extracted each time Workflow Analytics is opened.
  9. Selecting the 'Anonymize person data' option will remove references to resource names and replace with 'Person 1', 'Person 2', etc