Lessons Learned from a Case Study: a Diamond Model for Implementing and Scaling Process Mining

EasyChair Preprint no. 11041, version 2

Abstract

Companies should ensure that they constantly improve their business processes. Digital technologies stand out in doing so. Latest process mining technologies are key enablers for process improvement as they endorse the identification, (re-)design, implementation, and scaling of leanest processes. However, since there is no operating model covering this endeavor, many organizations are struggling especially how to implement and scale process mining initiatives. Accordingly, the objective of this article is to develop an operating model for process mining. We refer to it as the diamond model and group it into (1) drivers of the model, and (2) enablers for process mining. We derive seven lessons learned on how to best leverage process mining in companies. Underpinned by the results from our literature review, these lessons learned should help other companies willing to implement and scale process mining for its value creation. For research purposes, we present future research opportunities.

Keyphrases: Business Value, case study, Design Science Research in Information Systems, Operating Model, Process Mining

@Booklet{EasyChair:11041,
  author = {Mathias Münch and Jörg H. Mayer and Reiner Quick and Verena Schwobe},
  title = {Lessons Learned from a Case Study: a Diamond Model for Implementing and Scaling Process Mining},
  howpublished = {EasyChair Preprint no. 11041},

  year = {EasyChair, 2023}}