ISCAP Proceedings: Workshop Presentation
Workshop: Process Mining in Action with pm4py - From Data to Insights
Adrian Gardiner
Georgia Institute of Technology
Objectives
Process mining is an advanced analytical technique that enables organizations to gain deep insights into their business processes by extracting knowledge from event logs available in enterprise systems like SAP ERP. This technique can generate valuable insights, such as identifying process bottlenecks, conducting root cause analysis of deviations, delays, and errors, and ensuring that actual processes comply with predefined models reflecting internal policies.
This workshop offers Information Systems professors an opportunity to delve into the world of process mining using the powerful, open-source pm4py Python package, developed at the Fraunhofer Institute for Applied Information Technology. While some popular process mining tools, such as from Celonis, Signavio (SAP), or Appian, offer university academic alliance programs, these academic accounts are often restricted in terms of the type of analysis students can conduct and the sophistication of the datasets involved, due to the significant costs associated with hosting a process mining analytical platform. In contrast, using pm4py within a Google Colab environment has few restrictions regarding the type of analysis students can perform and the size and complexity of the datasets being analyzed.
Overall, workshop participants will gain practical experience in extracting, analyzing, and visualizing process data, uncovering inefficiencies, bottlenecks, and opportunities for process optimization.
Targeted Attendees
All Attendees