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Business Process Intelligence Challenge 2020: Analysis and evaluation of a travel process

Sabine Klein; Johannes Lahann; Lea Götz; Dominic Neu; Peter Pfeiffer; Adrian Rebmann; Martin Scheid; Brian Willems; Peter Fettke
In: Proceedings of the 2nd International Conference on Process Mining. International Conference on Process Mining (ICPM-2020), located at 2nd, October 4-9, University of Padua, Italy, IEEE, 2020.


The 2020 Business Process Intelligence Challenge provides data from the travel management system of the Eindhoven University of Technology and encourages the participants to tackle several questions regarding qualitative and quantitative aspects of the process flow. In this report, we show our analysis of the log files beginning with a conceptual approach, which includes the manual creation of a baseline process using the given textual description and some basic data descriptions. Based on this, we define our understanding of the log files, and the process followed by some basic descriptive analysis, which allows to get a deeper understanding of the process based on the data. This allows us to answer some of the first questions, which mostly relate to the quantitative aspects of the travel process. Furthermore, we apply some more advanced process mining and data analytics techniques, such as process conformance checking, machine learning and techniques, which are provided by the newly implemented RMM4Py framework to deal with the other questions of the challenge. Using those methods, we also try to find further noticeable process behaviour, which is not covered by the provided questions. This is followed by an overview of our results and the discussion of limitations and further recommendations, wherever applicable.

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