Abstract
Process mining aims to transform event data recorded in information systems into knowledge of an organisation’s business processes. The results of process mining analysis can be used to improve process performance or compliance to rules and regulations. However, applying process mining in practice is not trivial. In this paper we introduce PM\(^2\), a methodology to guide the execution of process mining projects. We successfully applied PM\(^2\) during a case study within IBM, a multinational technology corporation, where we identified potential process improvements for one of their purchasing processes.
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van Eck, M.L., Lu, X., Leemans, S.J.J., van der Aalst, W.M.P. (2015). PM\(^2\): A Process Mining Project Methodology. In: Zdravkovic, J., Kirikova, M., Johannesson, P. (eds) Advanced Information Systems Engineering. CAiSE 2015. Lecture Notes in Computer Science(), vol 9097. Springer, Cham. https://doi.org/10.1007/978-3-319-19069-3_19
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