- Release notes
- April 2025
- March 2025
- February 2025
- January 2025
- Before you begin
- Managing access
- Getting started
- Integrations
- Working with process apps
- Working with dashboards and charts
- Working with process graphs
- Working with Discover process models and Import BPMN models
- Showing or hiding the menu
- Context information
- Export
- Filters
- Sending automation ideas to UiPath® Automation Hub
- Tags
- Due dates
- Compare
- Conformance checking
- Root cause analysis
- Simulating automation potential
- Starting a Task Mining project from Process Mining
- Triggering an automation from a process app
- Viewing Process data
- Creating apps
- Loading data
- Transforming data
- Customizing process apps
- Publishing process apps
- App templates
- Notifications
- Additional resources
Process Mining
April 2025
Managing input data
Input data is now automatically mapped to the expected tables and fields when uploading data files. You can change the mappings and edit the settings of target tables and fields to your business needs. The following illustration shows an example field mapping.
Check out this video for a demo of the input data screen capability.
Refer to Managing input data for more information.
Incremental load
You can now easily configure incremental data load in the Tables section of the Manage input data screen.
When loading data using CData Sync, Theobald Xtract Universal, or DataUploader, you may need to configure additional settings in the extraction tool for incremental data load.
Refer to Mapping and configuring input tables for more information.
File storage manager
The file storage manager enables you to preview, download, and delete data files directly from the Azure Blob storage. This can be useful, for example, when you run into issues with data uploading and you need to correct mistakes in the data.
Refer to Managing file storage for more information.
Process graph heatmap
The heatmap capability animates the flow of events through your process graph, helping you identify areas of high activity and congestion. As events move through the process, edges and activities will grow thicker and appear in darker shades to represent higher volumes of events occurring over time.
Refer to Working with process graphs for more information.
Process apps
We organized the access for actions in the header bar in a more intuitive way to help you navigate faster.
Percentage and number of objects for filters
The percentage of objects is now displayed in the graphic for the applied filters. If you hover your mouse over the graphic, the number of objects in the selection out of the total number of objects, and the percentage of selected objects are displayed.
Refer to Data selections for more information.
Dashboard editor
We organized the access for enhanced editing in a more logical way. The Data transformations editor, Process manager, and Automation manager can now be accessed from the Dashboards drop-down menu by selecting the applicable option.
You can return to the dashboard editor by selecting the Dashboards option in the menu.
Export process graph as BPMN 2.0
You can export a process graph as a Business Process Model Notation (BPMN) 2.0 file. Export as BPMN 2.0 diagram generates a BPMN model based on the filtered dataset that you can download to your computer.
You can utilize the downloaded BPMN model in model-based apps using the Import BPMN model option in Process manager. Additionally, you have the option to import the file into a BPMN modeler, for example BPMN.iO or in the Maestro modeling canvas.
Check out Process manager for more information on importing BPMN models.
Data transformations
A warning or error message will be displayed when a table in the dbt project exceeds a certain number of records. This will help you protect against potential mistakes, such as incorrectly formed join operations that significantly inflate the table size.
dbt_project.yml file.
Managing input data
dbt tests may be displayed when running the transformations. Follow these steps to resolve the issue:
1. Go to Data tranformations.
dbt_project.yml file.
3. Delete the following lines.
# Overwrite default name of schema suffix to prevent long schema name.
data_tests:
+schema: ""# Overwrite default name of schema suffix to prevent long schema name.
data_tests:
+schema: ""4. Run the transformations.
You should no longer see the warning messages.
Process Mining AI Units consumption dashboard in Insights
The Process Mining AI Units consumption dashboard provides visibility into the usage of AI units for Process Mining apps. It offers detailed insights into how apps consume AI units, which apps consume the most AI units, and historical AI unit consumption trends.
For more information, refer to Process Mining AI Units consumption in the Insights guide.
Also refer to the Insights release notes April 2025.
Data transformations editor
You can now duplicate SQL files and copy and paste SQL files in the Data transformations editor. Dupicating a file creates a copy of the original file in the same folder directly underneath the duplicated file. When copying a SQL file you can paste it in a different location.
Refer to Editing data transformations for more information.
Conformance checking
Skip deviation type now indicates that a single activity was skipped. Refer to Conformance checking for more information on the deviation types.
Logic configuration editor
SUM of, COUNT of, MIN of, MAX of, AVERAGE of, can be used in metric calculations.
The following illustration shows an example expression in the Logic configuration editor.
Creating new fields
If you want to add business logic to your process app but the desired field is not available by default, you now have the ability to create new fields directly from the Data Manager. You can define a new field by creating an expression in the new Logic configuration editor. Once created, the field is added to your data and becomes available for use in your dashboards. It is no longer needed to add a new field using Data Transformations.
Refer to Creating fields and metrics for more information.
Process graph
The layout of the process graph has been significantly improved, which provides better visibility of the process graph, reduces edge crossings, and makes more efficient use of horizontal space.
