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Towards Data-Driven Business Process Redesign Through the Lens of Process Mining Case Studies

EasyChair Preprint no. 10676

12 pagesDate: August 7, 2023

Abstract

Process mining is widely used for business process analysis, but rarely informs Business Process Redesign (BPR) activities. We review process mining literature and BPR framework to create thematic maps of state-of-the-art process mining analyses, techniques, outcomes and BPR best practices. We collect 156 case studies where process mining is applied and use them to validate the proposed themes. We reveal connections between the themes to explore the synergy between process mining and process redesign. Our work contributes to the development of an approach for BPR practitioners to systematically leverage the process mining capabilities, providing a solid starting point for data-driven BPR.

Keyphrases: Business Process Redesign, Business Process Redesign Best Practice, case study, Process Mining

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:10676,
  author = {Zeping Wang and Rehan Syed and Chun Ouyang},
  title = {Towards Data-Driven Business Process Redesign Through the Lens of Process Mining Case Studies},
  howpublished = {EasyChair Preprint no. 10676},

  year = {EasyChair, 2023}}
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