process-mining
latest
false
- Release notes
 - 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
 - Process simulation
 - 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
- Autopilot™ for SQL (Public Preview)
 - Structure of transformations
 - Tips for writing SQL
 - Exporting and importing transformations
 - Viewing the data run logs
 - Merging event logs
 - Configuring Tags
 - Configuring Due dates
 - Configuring fields for Automation potential
 - Activity Configuration: Defining activity order
 - Making the transformations available in dashboards
 
- Data models
 - Adding and editing processes
 
 - Customizing process apps
 - Publishing process apps
 - App templates
 - Notifications
 - Additional resources
 

Process Mining
Last updated Oct 29, 2025
The input data panel shows the input tables that have been loaded into the process app as raw data. Select a table to see the fields and the data contents in the data preview. The data preview enables you to check if the input data looks as expected.
Note: 
               
               
            
            
            The preview shows 1000 records of data. If you want to filter for specific data, create a temporary debug query, refer to Data transformations.
Note: 
               
               
            
            
         The Preview panel shows the data of the last data run in which this table was recalculated. If you have made recent changes, then start a new data run to view its results, refer to Editing data transformations.