Scaling Process Mining to Turn Insights into Actions

Lecture notes in business information processing, pp. 495–502

Abstract

Abstract This final chapter reflects on the current status of the process mining discipline and provides an outlook on upcoming developments and challenges. The broader adoption of process mining will be a gradual process. Process mining is already used for high-volume processes in large organizations, but over time process mining will also become the “new normal” for smaller organizations and processes with fewer cases. To get the highest return on investment, organizations need to “scale” their process mining activities. Also, from a research point-of-view, there are many exciting challenges. On the one hand, many of the original problems (e.g., discovering high-quality process models and scaling conformance checking) remain (partly) unsolved, still allowing for significant improvements. On the other hand, the large-scale use of process mining provides many research opportunities and generates novel scientific questions.

Authors 2

1. Wil M. P. van der Aalst corresponding Aachen Process and Data Science (PADS)

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science (PADS), RWTH Aachen University, Aachen, Germany

   RWTH Aachen, Aachen, Germany

2. Josep Carmona

   Universitat Politècnica de Catalunya

   Affiliation as printed

   Universitat Politècnica de Catalunya, Barcelona, Spain