Career & Success

Process Mining as the Bridge between Process Science and Data Science

Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. Process mining seeks the confrontation between event data and process models, and should be in the toolbox of any data scientist, consultant, manager, or auditor. This technology has become available only recently, but can be applied to all operational processes in healthcare, logistics, production, customer care, banking, insurance, etc. This course explains what process mining is and how to get started.

Image Description
Created by Wil van der Aalst
11 lessons
|
1h 17m
|
94%
Image Description

Free for 7 days. Then $7.5/mo.
Cancel anytime.

Share

About the author

1 course

Wil van der Aalst is a full professor at RWTH Aachen University leading the Process and Data Science (PADS) group. He is better known as the "Godfather of Process Mining" and one of the most cited computer scientists in the world (top-15 worldwide according to Guide2Research). He is also part-time affiliated with the Fraunhofer-Institut für Angewandte Informationstechnik (FIT), Technische Universiteit Eindhoven, and Tilburg University. Wil van der Aalst has published over 250 journal papers, 20 books, 550 refereed conference/workshop publications, and 80 book chapters. He is seen as one of the leading experts in process mining, business process management, workflow management, simulation, concurrency, and process modeling.