Creating Process Mining Model

This page describes how a process mining model can be created where data is stored to datatables. Note that models can also load the eventlog data using a loading script or an ODBC query.

As an overview, following objects need to be set to create a model that uses datatables:

1. Create datatable for events (eventlog)
2. Create datatable for case attributes. (Case attributes are not mandatory, so this step is optional.)
3. Create a model that use the datatables.

Here are step-by-step instructions how to create a model using datatables:

1. Go to the Workspace (by clicking in navigation menu or in the Home screen).
2. Create a new project for the model by clicking the parent project and clicking NEW -> Project. (Alternatively you can use an existing project.)
3. Make sure the target project is selected, click NEW -> Datatable.
4. Select the created datatable and Import.
5. Select a CSV file, adjust settings for the file and click Start import. (If you don't have any data available, you can try out the sample files).
6. For the case attributes data, create also a new datatable and import data to it. (This is optional, as case attributes are not mandatory to create a model.)
7. Open the models list in the header, and find the target project. Hover the project and from the menu (dots icon) select Create model.
8. Model Properties dialog opens. Define a name for the model.
9. Open the Cases datasource tab, select the cases datatable, and to the Case ID field define the column that contains the case id's.
10. Open the Events datasource tab, select the events datatable, and define the columns that contains the case id's, event type and event time.
11. Click the Save button to close the dialog.
12. The model has now been created! You can start analysis by going to the Process Discovery and select the created model from in models list in the header.