Quotation Groß, Steven, Yeshchenko, Anton, Djurica, Djordje, Mendling, Jan. 2020. Process Mining Supported Process Redesign: Matching Problems with Solutions. In Process Mining Supported Process Redesign: Matching Problems with Solutions, Hrsg. Estefanía Serral Asensio, Janis Stirna, 24-33. Riga: None.




Process mining is a widely used technique to understand and analyze business process executions through event data. It offers insights into process problems but leaves analysts barehanded to translate these problems into concrete solutions. Research on business process management discusses both process mining and improvement patterns in isolation. In this paper, we address this research gap. More specifically, we identify six categories of process problems that can be identified with process mining and map them to applicable best practices of business processes. We analyze the relevance of our approach using a thematic analysis of reports that were handed in to the Business Process Intelligence Challenges over recent years, and observe the dire need for better guidance to translate process problems identified by process mining into suitable process designs. Conceptually, we position process mining into the problem and solution space of process redesign and thereby offer a language to describe potentials and limitations of the technique.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Process Mining Supported Process Redesign: Matching Problems with Solutions
Title of whole publication Process Mining Supported Process Redesign: Matching Problems with Solutions
Editor Estefanía Serral Asensio, Janis Stirna
Page from 24
Page to 33
Location Riga
Year 2020
URL https://www.researchgate.net/publication/346987726_Process_Mining_Supported_Process_Redesign_Matching_Problems_with_Solutions
Open Access Y
Open Access Link http://ceur-ws.org/Vol-2793/paper3.pdf


EU Funding 2018-1-LI01-KA203-000114, “Reference Module Design for Explorative Business Process Management"
Groß, Steven (Former researcher)
Yeshchenko, Anton (Details)
Djurica, Djordje (Details)
Mendling, Jan (Details)
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1138 Information systems (Details)
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