Overview

This course introduces you to IBM Process Mining. You learn the differences between process mining and task mining, the different phases of process mining, use cases, and how process mining is performed. You learn how to use IBM Process Mining to import a data source, map data, and visualize a process. You are also introduced to the major features of IBM Process Mining. 

The lab environment for this course uses a trial environment that is based on IBM Process Mining version 1.12.0.3I. Access to the trial environment is strictly limited to 30 days with no possibility of an extension. Before you enroll, make sure that you can complete the lab within the 30-day period. 

Audience

This course is intended for business process analysts, data analysts, or technical analysts that use the IBM Process Mining product.

Prerequisites

Objective

• Define process mining and task mining and how they are performed
• Describe use cases and benefits for process mining
• Understand IBM Process Mining capabilities
• Define the Digital Twin of an Organization (DTO)
• Describe the difference between flat and multilevel processes
• Describe how to navigate the main features of IBM Process Mining
• Describe how to map data and visualize a process
• Describe backups and reference models
• Explain how to apply filters to a process
• Explain how to drill down to specific activities
• Describe the performance views including rework, duration, and cost
• Define dashboards and widgets
• Describe the Project overview dashboard
• Explain how to use the Activity Map to understand resource usage
• Explain how to use the Social Net feature to understand data relationships

Course Outline

• Course introduction
• Unit 1. Overview of IBM Process Mining
• Unit 2. Getting started with IBM Process Mining
• Exercise 1. Overview of IBM Process Mining
• Course summary and other resources