Process mining provides organizations with methods and techniques to extract knowledge from event logs. In their work, process analysts can draw from the wealth of techniques developed over the years by researchers and professionals. Still, there is limited understanding of how process mining is used in practice and, in particular, how individual analysts approach the analysis stage. Towards filling this gap, we conducted semi-structured interviews with 37 practitioners and academics working with process mining. Based on the results of the interviews, we characterize common analysis strategies and examine related challenges and factors affecting their use in practice. Our findings contribute to an improved understanding of process mining practices and provide a solid empirical basis for future research developing guidance and support addressing the practical needs of process analysts.
|Title of host publication||Business Process Management - 20th International Conference, BPM 2022, Proceedings|
|Editors||Claudio Di Ciccio, Remco Dijkman, Adela del Río Ortega, Stefanie Rinderle-Ma|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||18|
|State||Published - 2022|
|Event||20th International Conference on Business Process Management, BPM 2022 - Virtual, Online|
Duration: 11 Sep 2022 → 16 Sep 2022
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||20th International Conference on Business Process Management, BPM 2022|
|Period||11/09/22 → 16/09/22|
Bibliographical noteFunding Information:
Information. This work is part of the ProMiSE project, funded by the Swiss National Science Foundation under Grant No.: 200021 197032. P. Soffer was partly funded by the Israel Science Foundation as part of the Eco4PPM project, grant agreement 2005/21.
© 2022, Springer Nature Switzerland AG.
- Analysis strategies
- Interview study
- Mining and analysis stage
- Process mining
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science (all)