- Release notes
- Before you begin
- 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
- Additional resources
Process Mining
Main use cases
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.
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.
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.
