- 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
Main use cases for Process Mining in Automation Cloud, covering process discovery, analysis, and automation potential identification using existing UiPath platform capabilities.
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.