Process Mining Supported Process Redesign: Matching Problems with Solutions

Steven Groß, Anton Yeshchenko, Djordje Djurica, Jan Mendling

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

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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.
Original languageEnglish
Title of host publicationProcess Mining Supported Process Redesign: Matching Problems with Solutions
Editors Estefanía Serral Asensio, Janis Stirna
Place of PublicationRiga
Pages24 - 33
Publication statusPublished - 2020

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102015 Information systems

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