- 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 (Preview)
- Simulating automation potential
- Starting a Task Mining project from Process Mining
- Triggering an automation from a process app
- Viewing Process data
- Process Insights (preview)
- Creating apps
- Loading data
- Transforming data
- Autopilot™ for SQL (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 dashboards
- Publishing process apps
- App templates
- Notifications
- Additional resources
Process Mining user guide
Main use cases
Optimize existing automated processes
In this scenario, a process is already implemented using in the organization using existing capabilities, such as long-running workflows or ReFramework workflows. Aside from that, there is an interest in gaining a deeper understanding of the current process, identifying inefficiencies, and optimizing it.
The end-to-end business process can be developed using Long Running Workflow processes or interconnected automations that utilize dispatcher-performer patterns, providing a clear path to improved performance and efficiency.
The following illustration shows an example end-to-end process with existing automations.
Model, automate, orchestrate, monitor, and optimize a new process
In this scenario, you want to build a new long running workflow leveraging a Business Process Model and Notation (BPMN)-style canvas available in UiPath Studio. This enables you to continuously monitor the process to improve it over time.
Key features
- Leverage the Long running workflow, a canvas in Studio Desktop where you can quickly design complex workflows by combining BPMN concepts with the power of RPA.
- Integrates Triggers, UI Automation, API Automation, Human In the Loop and AI Powered Automation.
- Long running activities from Action Center, Integration Service, Microsoft 365, Google Workspace.
- Built in resiliency capabilities through Error Boundary Events and Error End Events.
- Importing a BPMN file.
- Tracking the elements of a canvas in Process Mining to get a view of the process and further optimize it.
The following illustration shows an example Long Running Workflow.
Improve processes spanning systems, humans, and robots
In this scenario, there is a need for a holistic understanding of an end-to-end process with certain parts performed in specific source systems like SAP, Salesforce, ServiceNow, and Oracle, along with parts of the process implemented in UiPath that may also involve human-in-the-loop tasks.
Key features
- Bring in data from automations and Task Mining in the same application in Process Mining.
- Check out Adding automation data for more information on how to connect Process Mining to automations.
- Check out Starting a Task Mining project from Process Mining for more information on how to work with Task Mining data.
- Bring in data from source systems and automations in the same application in Process Mining
- Build richer business-centric dashboards and KPIs on top of the combined data.
- Perform root-cause analysis.
- Identify inefficiencies in the process, identify opportunities for process optimization and quantify the impact.
- Measure the return on investment (ROI) of process optimizations implemented into the process.
The following illustration shows an example of continuous improvement.
