Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations

Vinicius Stein Dani; Henrik Leopold; Jan Martijn van der Werf; Hajo Reijers

doi:10.1007/978-3-031-46587-1_9

Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations

Vinicius Stein Dani, Henrik Leopold, Jan Martijn van der Werf, Hajo Reijers

Sub Process Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Many organizations have adopted process mining to analyze their business processes, gain insights into their performance, and identify improvement opportunities. Several academic case studies and reports from practice leave no doubt that process mining tools can deliver substantial value to organizations and help them to realize improvements. However, both organizations and academics have also realized that the path from obtaining insights via process mining to realizing the desired improvements is far from trivial. Existing process mining methodologies pay little to no attention to this matter and mainly focus on how to obtain insights through process mining. In this paper, we address this research gap by conducting a qualitative study based on 17 semi-structured interviews. We identify seven challenges pertaining to translating process mining insights into process improvements. Furthermore, we provide five specific recommendations for practitioners and stakeholders that should be considered before starting a new process mining initiative. By doing so, we aim to close the gap between insights and action and help organizations to effectively use process mining to realize process improvements.

Original language	English
Title of host publication	Enterprise Design, Operations, and Computing - 27th International Conference, EDOC 2023, Proceedings
Subtitle of host publication	27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings
Editors	Henderik A. Proper, Luise Pufahl, Dimka Karastoyanova, Marten van Sinderen, João Moreira
Publisher	Springer
Pages	152-168
Number of pages	17
ISBN (Electronic)	978-3-031-46587-1
ISBN (Print)	978-3-031-46586-4
DOIs	https://doi.org/10.1007/978-3-031-46587-1_9
Publication status	Published - 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14367 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Funding

Part of this research was funded by NWO (Netherlands Organisation for Scientific Research) project number 16672.

Funders	Funder number
Nederlandse Organisatie voor Wetenschappelijk Onderzoek	16672

Keywords

Process mining
Insights to action
Process improvement
Challenges

Access to Document

10.1007/978-3-031-46587-1_9

978-3-031-46587-1_9Final published version, 296 KBLicence: Taverne

Cite this

Stein Dani, V., Leopold, H., van der Werf, J. M., & Reijers, H. (2024). Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations. In H. A. Proper, L. Pufahl, D. Karastoyanova, M. van Sinderen, & J. Moreira (Eds.), Enterprise Design, Operations, and Computing - 27th International Conference, EDOC 2023, Proceedings: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (pp. 152-168). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14367 LNCS). Springer. https://doi.org/10.1007/978-3-031-46587-1_9

Stein Dani, Vinicius ; Leopold, Henrik ; van der Werf, Jan Martijn et al. / Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations. Enterprise Design, Operations, and Computing - 27th International Conference, EDOC 2023, Proceedings: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings. editor / Henderik A. Proper ; Luise Pufahl ; Dimka Karastoyanova ; Marten van Sinderen ; João Moreira. Springer, 2024. pp. 152-168 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Many organizations have adopted process mining to analyze their business processes, gain insights into their performance, and identify improvement opportunities. Several academic case studies and reports from practice leave no doubt that process mining tools can deliver substantial value to organizations and help them to realize improvements. However, both organizations and academics have also realized that the path from obtaining insights via process mining to realizing the desired improvements is far from trivial. Existing process mining methodologies pay little to no attention to this matter and mainly focus on how to obtain insights through process mining. In this paper, we address this research gap by conducting a qualitative study based on 17 semi-structured interviews. We identify seven challenges pertaining to translating process mining insights into process improvements. Furthermore, we provide five specific recommendations for practitioners and stakeholders that should be considered before starting a new process mining initiative. By doing so, we aim to close the gap between insights and action and help organizations to effectively use process mining to realize process improvements.",

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Stein Dani, V, Leopold, H, van der Werf, JM & Reijers, H 2024, Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations. in HA Proper, L Pufahl, D Karastoyanova, M van Sinderen & J Moreira (eds), Enterprise Design, Operations, and Computing - 27th International Conference, EDOC 2023, Proceedings: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14367 LNCS, Springer, pp. 152-168. https://doi.org/10.1007/978-3-031-46587-1_9

Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations. / Stein Dani, Vinicius; Leopold, Henrik; van der Werf, Jan Martijn et al.
Enterprise Design, Operations, and Computing - 27th International Conference, EDOC 2023, Proceedings: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings. ed. / Henderik A. Proper; Luise Pufahl; Dimka Karastoyanova; Marten van Sinderen; João Moreira. Springer, 2024. p. 152-168 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14367 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - Many organizations have adopted process mining to analyze their business processes, gain insights into their performance, and identify improvement opportunities. Several academic case studies and reports from practice leave no doubt that process mining tools can deliver substantial value to organizations and help them to realize improvements. However, both organizations and academics have also realized that the path from obtaining insights via process mining to realizing the desired improvements is far from trivial. Existing process mining methodologies pay little to no attention to this matter and mainly focus on how to obtain insights through process mining. In this paper, we address this research gap by conducting a qualitative study based on 17 semi-structured interviews. We identify seven challenges pertaining to translating process mining insights into process improvements. Furthermore, we provide five specific recommendations for practitioners and stakeholders that should be considered before starting a new process mining initiative. By doing so, we aim to close the gap between insights and action and help organizations to effectively use process mining to realize process improvements.

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Stein Dani V, Leopold H, van der Werf JM , Reijers H. Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations. In Proper HA, Pufahl L, Karastoyanova D, van Sinderen M, Moreira J, editors, Enterprise Design, Operations, and Computing - 27th International Conference, EDOC 2023, Proceedings: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings. Springer. 2024. p. 152-168. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2023 Oct 20. doi: 10.1007/978-3-031-46587-1_9

Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations

Abstract

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