Bringing Rigor to the Qualitative Evaluation of Process Mining Findings: An Analysis and a Proposal

Publication date

2021-10-31

Authors

Koorn, Jelmer JanISNI 0000000492899569
Beerepoot, IrisISNI 0000000492835880
Stein Dani, ViniciusISNI 0000000507443397
Lu, XixiISNI 0000000492910684
van de Weerd, I.ORCID 0000-0003-3420-6923ISNI 0000000387888163
Leopold, HenrikISNI 0000000410084674
Reijers, Hajo A.ORCID 0000-0001-9634-5852ISNI 0000000037238136

Editors

Di Ciccio, Claudio
Di Francescomarino, Chiara
Soffer, Pnina

Advisors

Supervisors

Document Type

Part of book

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Open Access logo

License

Abstract

Before the findings of a process mining project can be turned into actionable insights or recommendations, it is essential to make sure that the findings are actually valid. Therefore, the evaluation of the findings is a crucial part of a successful process mining project. Current process mining methodologies, however, fall short in providing actionable support to perform such an evaluation. This is especially true when domain experts are involved. To close this gap, we performed a literature study considering all process mining case studies published in the last two decades. In total, we identified 244 candidate papers of which we analyzed 80 in depth. Based on this literature study, we found a need for a more systematic approach for qualitative evaluations in process mining projects where domain experts are involved. Therefore, we build on these results to propose six validation strategies, which originate from qualitative research. We believe that this proposal for more rigor in the evaluation phase of process mining projects helps to move the discipline forward.

Keywords

Domain Expert, Evaluation, Methodology, Process Mining, Qualitative Research, Taverne, Artificial Intelligence, Information Systems, Information Systems and Management

Citation

Koorn, J J, Beerepoot, I, Dani, V S, Lu, X, Weerd, I V D, Leopold, H & Reijers, H A 2021, Bringing Rigor to the Qualitative Evaluation of Process Mining Findings : An Analysis and a Proposal. in C Di Ciccio, C Di Francescomarino & P Soffer (eds), Proceedings - 2021 3rd International Conference on Process Mining, ICPM 2021. IEEE, pp. 120-127, 3rd International Conference on Process Mining, ICPM 2021, Eindhoven, Netherlands, 31/10/21. https://doi.org/10.1109/icpm53251.2021.9576877, conference