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Power Automate for Process Mining - From Analysis to Automation

In this course Power Automate course, participants learn how to leverage Power Automate’s advanced capabilities with a focus on Process Mining. They explore how to uncover inefficiencies in...

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Course Code WA3690
Duration 1 day
Available Formats Classroom

In this course Power Automate course, participants learn how to leverage Power Automate’s advanced capabilities with a focus on Process Mining. They explore how to uncover inefficiencies in business processes by analyzing real-time data from various sources, creating process visualizations, and using process analytics to optimize workflows. The course covers how to use Power Automate to automate business processes effectively based on insights gained from process mining, helping organizations streamline operations and achieve improved efficiency.

Skills Gained

  • Understand the core concepts and features of Process Mining in Power Automate
  • Learn how to extract and analyze data from business systems to uncover process inefficiencies
  • Gain hands-on experience in visualizing processes using Power Automate’s process discovery tools
  • Explore the integration of Process Mining insights with automation workflows in Power Automate
  • Learn how to continuously optimize processes using process analytics and automation

Prerequisites

  • Basic understanding of business process management concepts
  • Familiarity with Power Automate and automation workflows
  • Prior experience in using Microsoft Power Platform tools is beneficial but not required

Course Details

Setup Requirements

  • A computer with an internet connection is required
  • A remote lab VM with all necessary software and a Power Platform account with be provided as part of the training

Introduction to Power Automate and Process Mining

  • Overview of Power Automate and its role in business automation
  • Introduction to Process Mining and its significance in optimizing business processes
  • The relationship between process mining, data analysis, and automation
  • Key features of Power Automate’s Process Mining tools
  • Benefits of integrating Process Mining into business operations

Setting Up Process Mining in Power Automate

  • How to set up and configure Power Automate’s Process Mining tools
  • Understanding the data sources and types of data that can be mined
  • Importing and connecting data sources for process mining
  • Configuring the system to track and visualize process events
  • Introduction to process templates and how to use them

Process Discovery and Visualization

  • Understanding process discovery and its role in uncovering inefficiencies
  • How to visualize business processes using Power Automate’s graphical interface.
  • Creating process flow diagrams to represent real-time operations
  • Exploring variations and exceptions within the process flow
  • Using filters and parameters to refine the process view

Process Analytics and Optimization

  • Using process analytics to identify bottlenecks and inefficiencies
  • Evaluating performance metrics like cycle time, waiting time, and throughput
  • Analyzing and comparing different process variants
  • Identifying areas for optimization and redesigning processes
  • Developing strategies for continuous process improvement

Integrating Process Mining with Automation

  • How to use insights from process mining to design automation workflows
  • Automating workflows to address inefficiencies and streamline processes
  • Using triggers and actions based on process mining data for automation
  • Examples of automating common business processes with Power Automate
  • Best practices for combining process mining with automation for improved results

Continuous Monitoring and Process Improvement

  • Setting up ongoing monitoring of processes in Power Automate
  • Using analytics dashboards to track the impact of process improvements
  • Identifying new process inefficiencies as they emerge
  • Refining automation workflows based on updated process mining insights
  • Strategies for scaling process mining and automation across the organization