March 2025

March 19, 2025

Improvements

Creating filters from data selections

If you make a data selection on a chart, a filter is created automatically when you click on any of the other charts in the dashboard.

If you do not want to create a filter from the data selection, you can select the Clear selection icon on the chart to clear the data selection.

You can now also select a chunk in a pie chart to create a filter based on the values of the chunk.

Refer to Filters for more information.

Additional search options for list box filters

Additional search options for filter options allow you to search for filter values that you want to select from within a larger list of values. If the field in the list box contains more than 20 values, the following search options appear:

• Contains;

• Starts with;

• Ends with.

The following illustration shows an example.

With the Select all results option, you can select all the result values from the search at once, without having to individually select each value.

Refer to Filters for more information.

Process graphs

You can use the Show metric values as percentages icon on the process graph to toggle between numeric values and percentages for metrics that represent a count of values, such as Number of events or Total case value.

Refer to Working with process graphs for more information.

Process data dashboard

You can now select display columns from other objects rather than just the main object in the process app in the Visible columns list.

Bug fixes

SAP-Accounts Payable app template

There was an issue with the SAP-Accounts Payable app template, where accounting documents did not filter correctly on the other objects. This is now fixed.

If you have an existing process app created with the SAP-Accounts Payable app template, you can fix this issue using Data transformations.

Follow these steps to fix the issue for a SAP-Accounts Payable process app.

1. Open the process app in development mode and go to Data transformations.

2. Add Accounting_documents_base."Invoice_ID", in the Accounting_documents.sql model, in the Accounting_documents Common Table Expression (CTE).
   Note:

   If you customized the process app, make sure the Invoice_ID is part of the output of the data model.

3. Select Run all to run the data transformations.

4. In Data transformations, select Data model to open the data model for your process app.

5. Locate the Invoices table, and remove the relation with Accounting Document ID.
6. Locate the Accounting_documents table, and add a relation with Invoices table based on Invoice_ID. The following illustration shows the updated data model for SAP-Accounts Payable.

   
   

   

   
   

7. Make sure the data model changes are saved.

8. Select Apply to dashboards to make the new data model available for use in dashboards.

9. If desired, publish the app.

March 5, 2025

Improvements

Event log, Custom process, SAP Purchase-to-Pay, and SAP Order-to-Cash app templates

We simplified the SQL for in Event log, Custom process, SAP Purchase-to-Pay, and SAP Order-to-Cash app templates. This makes it easier to customize the data transformations for process apps created with these app templates.

• Simpler SQL queries.

• Improved structure with less SQL files.

• Configuration (seeds) files are no longer needed.

Note:

You need to create a new process app to benefit from these improvements.

App templates

The KPIs on the card of published apps are now calculated automatically, instead of calculated from the Metadata_PrecomputedValues query in the data transformations.

The Metadata_PrecomputedValues.SQL file is no longer available in the Data transformations for newly created apps.

Data transformations

The Preview panel has been enhanced with an updated style. More records are viewable and the preview loading speed increased. We also implemented some small bug fixes.

Data manager

The field type is now indicated by an icon in front of the field name.

Other

Data transformations

In rare cases, for existing process apps for which you have used sample data as a data source, you may regard input tables in Data transformations that were not visible before. If desired, you can safely delete these tables.