The "Process Mining" seminar, led by Prof. Dr. Daniel Beverungen, Bernd Löhr and Alexander Skolik, once again gave Master's students at the faculty the opportunity to take a practical look at data-driven process analyses this year.
Process mining is a data-based method for analysing process data. The aim is to systematically analyse and evaluate business processes so that various processes can be improved. Process mining makes it possible to visualise the process in its entirety and thus make hidden process knowledge tangible.
The Enervie Group was the practical partner for this year's programme. Six students from Paderborn University worked in two groups with real company data and applied the process mining knowledge they had acquired in the seminar in practice. In terms of content, the focus was on analysing the billing and dunning processes, content components of sales value creation.
Interlocking theory and practice: final presentation to the Enervie Group
During the winter semester, the students learnt the theoretical basics and advanced methods of process mining in lectures and exercises. In the subsequent practical phase, they analysed real process data from the Enervie Group, identified deviations, bottlenecks and optimisation potential and derived data-based recommendations for action. Methods such as process discovery, conformance checking and enhancement were used.
The students presented their findings to company representatives at a final presentation at the Enervie Group headquarters. The presentations met with a very positive response and emphasised the added value of data-driven process analyses for operational practice.
The opportunity to work with real company data and present results directly to practice partners once again made the "Process Mining" module a valuable learning experience this year.
