Get started with process mining in Power Automate

This module explains the following concepts:

• Process mining and its role in hyperautomation
• How to use process mining
• Process mining in Power Automate and the web portal
• Power Automate Process Mining desktop application

This module explains the following concepts:

• Different metrics and mining attributes
• How to create clusters
• How to identify reworks and the activities that cause them
• Statistics and case influencers

This module explains how to:

• Work with the desktop application so that you can work with your process data.
• Use filters to create meaningful subsets of cases to evaluate how to use the tools in the desktop app.
• Use Copilot and natural language queries to gain insights into your process.
• Find a statistical overview of the process properties through summary charts and reports.
• Use advanced analysis techniques, such as clusters, hierarchies, and variants, to provide different views into how your process works.

This module explains how to:

• Use the process compare feature to identify differences in the flow and frequency or time metrics of the process.
• Use the root cause analysis feature to determine why some cases take longer to complete than others.
• Define your own metric by using custom metrics to combine different operations, functions, and constants in a formula editor.
• Define and evaluate KPIs based on your own thresholds and limits by using the business rule feature.

This module explains how to:

• Use embedded Power BI reports to visualize process mining analysis.
• Use a Power BI premium workspace to connect to a process to customize reports.
• Create custom reports to present process mining data in a way that your users can understand.