On the Origin of Questions in Process Mining Projects

Francesca Zerbato; Jelmer J. Koorn; Iris Beerepoot; Barbara Weber; Hajo A. Reijers

doi:10.1007/978-3-031-17604-3_10

On the Origin of Questions in Process Mining Projects

Francesca Zerbato^*, Jelmer J. Koorn, Iris Beerepoot, Barbara Weber, Hajo A. Reijers

^*Corresponding author for this work

University of St. Gallen

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

Abstract

In line with the growing popularity of process mining, several methodologies have been proposed to guide the conduct of process mining projects. Such methodologies reason that process mining projects start with a concrete question. However, in practice we observe projects with a different starting point, often aimed at exploring the data. Existing methodologies provide limited aid in such situations, and as a result, we wonder: how are questions developed within process mining projects? In this paper, we present the results of an interview study that sheds light on question development in process mining. We provide insights from expert interviewees, resulting in six recommendations that enhance existing methodologies. In doing so, we present concrete examples of how process mining analyses can support question formulation and refinement.

Original language	English
Title of host publication	Enterprise Design, Operations, and Computing
Subtitle of host publication	26th International Conference, EDOC 2022, Bozen-Bolzano, Italy, October 3–7, 2022, Proceedings
Editors	João Paulo A. Almeida, Dimka Karastoyanova, Giancarlo Guizzardi, Marco Montali, Fabrizio Maria Maggi, Claudenir M. Fonseca
Publisher	Springer
Pages	165-181
Number of pages	17
Edition	1
ISBN (Electronic)	978-3-031-17604-3
ISBN (Print)	978-3-031-17603-6
DOIs	https://doi.org/10.1007/978-3-031-17604-3_10
Publication status	Published - 28 Sept 2022
Event	26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022 - Bozen-Bolzano, Italy Duration: 3 Oct 2022 → 7 Oct 2022

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	13585
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022
Country/Territory	Italy
City	Bozen-Bolzano
Period	3/10/22 → 7/10/22

Bibliographical note

Funding Information:
Future Work. In the future, we will refine and extend the list of recommendations considering (i) factors that affect question development in specific settings and application domains and (ii) insights from literature on question development in the broader context of data analysis. We will also conduct a user evaluation to assess the generalizability and practical relevance of our findings.

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Funding

Future Work. In the future, we will refine and extend the list of recommendations considering (i) factors that affect question development in specific settings and application domains and (ii) insights from literature on question development in the broader context of data analysis. We will also conduct a user evaluation to assess the generalizability and practical relevance of our findings.

Keywords

Interview study
Process mining
Process mining methodology
Question development

Access to Document

10.1007/978-3-031-17604-3_10

978-3-031-17604-3_10Final published version, 0.98 MBLicence: Taverne

Cite this

Zerbato, F., Koorn, J. J., Beerepoot, I., Weber, B., & Reijers, H. A. (2022). On the Origin of Questions in Process Mining Projects. In J. P. A. Almeida, D. Karastoyanova, G. Guizzardi, M. Montali, F. M. Maggi, & C. M. Fonseca (Eds.), Enterprise Design, Operations, and Computing : 26th International Conference, EDOC 2022, Bozen-Bolzano, Italy, October 3–7, 2022, Proceedings (1 ed., pp. 165-181). (Lecture Notes in Computer Science ; Vol. 13585 ). Springer. https://doi.org/10.1007/978-3-031-17604-3_10

Zerbato, Francesca ; Koorn, Jelmer J. ; Beerepoot, Iris et al. / On the Origin of Questions in Process Mining Projects. Enterprise Design, Operations, and Computing : 26th International Conference, EDOC 2022, Bozen-Bolzano, Italy, October 3–7, 2022, Proceedings. editor / João Paulo A. Almeida ; Dimka Karastoyanova ; Giancarlo Guizzardi ; Marco Montali ; Fabrizio Maria Maggi ; Claudenir M. Fonseca. 1. ed. Springer, 2022. pp. 165-181 (Lecture Notes in Computer Science ).

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Zerbato, F, Koorn, JJ, Beerepoot, I, Weber, B & Reijers, HA 2022, On the Origin of Questions in Process Mining Projects. in JPA Almeida, D Karastoyanova, G Guizzardi, M Montali, FM Maggi & CM Fonseca (eds), Enterprise Design, Operations, and Computing : 26th International Conference, EDOC 2022, Bozen-Bolzano, Italy, October 3–7, 2022, Proceedings. 1 edn, Lecture Notes in Computer Science , vol. 13585 , Springer, pp. 165-181, 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022, Bozen-Bolzano, Italy, 3/10/22. https://doi.org/10.1007/978-3-031-17604-3_10

On the Origin of Questions in Process Mining Projects. / Zerbato, Francesca; Koorn, Jelmer J.; Beerepoot, Iris et al.
Enterprise Design, Operations, and Computing : 26th International Conference, EDOC 2022, Bozen-Bolzano, Italy, October 3–7, 2022, Proceedings. ed. / João Paulo A. Almeida; Dimka Karastoyanova; Giancarlo Guizzardi; Marco Montali; Fabrizio Maria Maggi; Claudenir M. Fonseca. 1. ed. Springer, 2022. p. 165-181 (Lecture Notes in Computer Science ; Vol. 13585 ).

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

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Zerbato F, Koorn JJ, Beerepoot I, Weber B, Reijers HA. On the Origin of Questions in Process Mining Projects. In Almeida JPA, Karastoyanova D, Guizzardi G, Montali M, Maggi FM, Fonseca CM, editors, Enterprise Design, Operations, and Computing : 26th International Conference, EDOC 2022, Bozen-Bolzano, Italy, October 3–7, 2022, Proceedings. 1 ed. Springer. 2022. p. 165-181. (Lecture Notes in Computer Science ). doi: 10.1007/978-3-031-17604-3_10