Wil van der Aalst

Chief Scientist Celonis

Prof.dr.ir. Wil van der Aalst is a full professor at RWTH Aachen University leading the Process and Data Science (PADS) group. He is also part-time affiliated with the Fraunhofer-Institut für Angewandte Informationstechnik (FIT) where he leads FIT's Process Mining group and the Technische Universiteit Eindhoven (TU/e). Until December 2017, he was the scientific director of the Data Science Center Eindhoven (DSC/e) and led the Architecture of Information Systems group at TU/e. Since 2003, he holds a part-time position at Queensland University of Technology (QUT). Currently, he is also a distinguished fellow of Fondazione Bruno Kessler (FBK) in Trento and a member of the Board of Governors of Tilburg University. His research interests include process mining, Petri nets, business process management, workflow management, process modeling, and process analysis. Wil van der Aalst has published over 220 journal papers, 20 books (as author or editor), 500 refereed conference/workshop publications, and 75 book chapters. Many of his papers are highly cited (he one of the most cited computer scientists in the world; according to Google Scholar, he has an H-index of 142 and has been cited over 92,000 times) and his ideas have influenced researchers, software developers, and standardization committees working on process support. Next to serving on the editorial boards of over ten scientific journals, he is also playing an advisory role for several companies, including Fluxicon, Celonis, Processgold, and Bright Cape. Van der Aalst received honorary degrees from the Moscow Higher School of Economics (Prof. h.c.), Tsinghua University, and Hasselt University (Dr. h.c.). He is also an elected member of the Royal Netherlands Academy of Arts and Sciences, the Royal Holland Society of Sciences and Humanities, and the Academy of Europe. In 2018, he was awarded an Alexander-von-Humboldt Professorship.

 

Day One

10:00 AM Getting Your Enterprise Data Ready for Effective Process Mining

Unlocking the full potential of process mining starts with preparing your enterprise data. Process mining analyzes vast datasets to reveal inefficiencies and opportunities for optimization, helping organizations enhance operational efficiency, cut costs, and boost customer satisfaction.

In this session we will discuss how to get your data ready for process mining to be effective through quality, efficiency and standardisation to enable actionable insights.


In this session, we are joined by a panel of experts to:

  • Learn practical strategies to clean, structure, and standardize data, creating a solid foundation for process mining initiatives
  • Explore how well-prepared data can transform operations and drive success in today’s fast-paced economic environment.