Process mining for the data wrangler

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 the following concepts:

• Data elements that are important for the event log
• Common data sources and connectors
• Pre transformation cleanup that might be required
• How to handle data from multiple sources

This module explains how to:

• Identify data for normalizing.
• Load the event log data.
• Transform the event log data.

• Introduction
• Process mining concepts and its role in hyperautomation
• Use process mining
• Process mining in Power Automate
• Process mining in Power Automate web portal
• Power Automate Process Mining desktop app
• Check your knowledge
• Summary

• Introduction
• Create a process mining report
• Process report and data validation
• Analyze the process mining report in Power Automate
• Project sharing and data refresh
• Check your knowledge
• Summary

• Introduction
• Extract event log data
• Identify data sources
• Validate data
• Exercise - Inspect and prepare data
• Consolidate and clean up data
• Exercise - Consolidate data
• Check your knowledge
• Summary

• Introduction
• Normalize event log data
• Filter event log data
• Load event log data
• Exercise - Event log transformation
• Check your knowledge
• Summary