Process Mining Success Factors and Their Interrelationships

Business & Information Systems Engineering, vol. 67, pp. 389–408

Abstract

Abstract Process mining—a suite of techniques for extracting insights from event logs of Information Systems (IS)—is increasingly being used by a wide range of organisations to improve operational efficiency. Despite extensive studies of Critical Success Factors (CSFs) in related domains, CSF studies tailored to process mining are limited. Moreover, these studies merely identify factors and do not provide essential details such as a clear conceptual understanding of success factors and their interrelationships. Through a multi-phased approach (applying published process mining case studies, conducting two in-depth case studies and expert interviews), this paper presents an empirically validated process mining CSF model and CSF interrelationships. This validated CSF model identifies ten process mining CSFs, explains how these factors relate to the process mining context and analyses their interrelationships with regard to process mining success. The findings provide a guide for organisations to invest in the right mix of CSFs for value realisation in process mining practice.

Authors 4

1. Azumah Mamudu corresponding

   Queensland University of Technology

   Affiliation as printed

   Queensland University of Technology, 2 George Street, Brisbane, QLD, 4000, Australia

2. Wasana Bandara

   Queensland University of Technology

   Affiliation as printed

   Queensland University of Technology, 2 George Street, Brisbane, QLD, 4000, Australia

3. Moe Thandar Wynn

   Queensland University of Technology

   Affiliation as printed

   Queensland University of Technology, 2 George Street, Brisbane, QLD, 4000, Australia

4. Sander J. J. Leemans Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Ahornstrabe 55, 52074, Aachen, Germany