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Using process mining and event log analysis for better business strategy decision-making

Midden, J.H. van (2021) Using process mining and event log analysis for better business strategy decision-making.

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Abstract:Process mining is often used for conformance checking and performance checking in businesses. However, after establishing the problems, seeking solutions and deploying them, that is often the end of the process, whilst event logs analysis can also be used to yield business performance. This paper proposes methods to utilise process mining and event logs analysis to aid business decision makers in narrowing down the considered business options, and yield business performance. After defining how event logs analysis can be used to execute performance checking and thus narrowing down business options, a case study is conducted wherein the methods are tested. Three experiments are conducted in which at the start of the event logs all possible scenarios are considered, and after a given interval the worst performing scenarios are eliminated. The experiments show that the proposed methods of narrowing down business scenarios all converge to similar best-performing scenarios, and that event logs analysis has great potential to aid business decision makers.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:50 technical science in general, 54 computer science, 58 process technology
Programme:Business & IT BSc (56066)
Link to this item:http://purl.utwente.nl/essays/87378
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