Practical Process Mining Course and Workshop on Disco, ProM, and Celonis Tools

Description

Introduction:

 

In our daily lives, events are constantly being recorded, from personal activities to organizational interactions. This results in a rich repository of valuable data that, through process mining, can be transformed into deep insights about these events. Process mining allows for the understanding and visualization of what happens within organizations and by individuals, providing a foundation for improvements in business processes and information systems. This emerging and expanding field leverages machine learning algorithms, enabling applications such as predicting the next steps during process execution. It is no surprise that process mining is often referred to as a dream come true. Gaining knowledge in this area is essential for anyone who values competitive advantage in today’s world and seeks a deeper understanding of their business data.

Process mining is, in fact, a method for gathering organizational data (event logs) and processing it into a visual workflow for monitoring and analysis. It serves as an innovative tool for tracking both the actions your company performs well and those that can be improved.

This course is delivered entirely in a practical format. After each topic is introduced, its implementation in tools such as Disco, ProM, and Celonis is demonstrated in workshop sessions.

 

Objectives:

Understanding process mining and its role in business process management.

Familiarizing with methodologies, tools, modeling languages, and process mining algorithms.

Exploring where process mining fits in.

Determining whether process mining is necessary for your organization.

Understanding how analytical tools can help your business grow.

Identifying available tools for process mining.

Introducing the best process mining tools according to Gartner.

Learning how to create event logs from recorded data.

Gaining proficiency in using powerful tools such as Disco, ProM, and Celonis for analyzing and extracting knowledge from event data logs, automatic process discovery, conformance checking, identifying bottlenecks and areas for process improvement, social network analysis, and understanding the role of individuals in processes.

 

By the end of this course, you will be equipped with the knowledge of process mining capabilities and able to extract event logs and utilize software tools for automatic discovery and analysis of your business processes and organizational information systems.

 

Course Content:

 

Module 1: Concepts

• Data Science & Big Data
• Process Mining vs Data Mining (Relationships and Differences)
• History of Process Mining and its Role in Business Process Management and Data Science
• Types of interactions between models and data (play out, play in, replay) and process mining methodologies
• Overview of the algorithms and modeling languages used in process mining (BPMN, Fuzzy model, Petri Nets)
• Workshop Introduction: Introduction to Disco, ProM, and Celonis software, installation guide, and providing download links for software and event log files

 

Module 2: Event Data Logs Extraction and Analysis

• Explanation of event logs sources, acceptable formats, and other characteristics as inputs for process mining
• Gaining deeper insights into extracted data in event logs
• Workshop:
  • Import and analysis of event logs in Disco (cases, variants, statistics, etc.)
  • Import and analysis of event logs using Dotted Chart in ProM
  • Import and analysis of event logs in Celonis

 

Module 3: Automated Process Discovery

• Automated process discovery from data extracted in event logs
• Explanation of various process discovery algorithms and their comparison
• Explanation of different process models and notations, and comparison of Lasagna and Spaghetti models
• Examination of the four quality criteria in process discovery

 

• Workshop:
  • Process discovery in Disco and Celonis
  • Filtering, copying, and exporting process models in Disco and Celonis
  • Process discovery in ProM, related plugins, and model conversions
  • Process animation in Disco and ProM

 

Module 4: Conformance Checking and Deviation Detection

• Explanation of conformance checking and deviation detection through comparison of the ideal process model and actual occurrences
• Workshop:
  • Conformance checking in ProM and Celonis

 

Module 5: Bottleneck Identification and Performance Analysis (Enhancement)

• Explanation of performance analysis approach through bottleneck identification and gaining deeper insights into the process for understanding areas for improvement
• Workshop:
  • Bottleneck identification and performance analysis in Disco, ProM, and Celonis

 

Module 6: Social Network Analysis

• Explanation and application of social network analysis in process mining

 

• Workshop:
  • Social Network Analysis in ProM

 

Module 7: Workshop

In this module, a prepared log file will be provided to you. You will start mining the process and identifying bottlenecks. At the end of this workshop, you will answer some questions designed by the process owner, leading to process improvement. You can use any of the taught software for this section, and your smart choice will be considered an advantage.

 

Module 8: Introduction to Tools, Experiences, and Future Trends