Business process mining success

Mans Ronny, Reijers Hajo, Berends Hans, Bandara Wasana, Prince Rogier

Research output: Contribution to ConferencePaperAcademic


Process mining has developed into a popular research discipline and nowadays its associated techniques are widely applied in practice. What is currently ill-understood is how the success of a process mining project can be measured and what the antecedent factors of process mining success are. We consider an improved, grounded understanding of these aspects of value to better manage the effectiveness and efficiency of process mining projects in practice. As such, we advance a model, tailored to the characteristics of process mining projects, which identifies and relates success factors and measures. We draw inspiration from the literature from related fields for the construction of a theoretical, a priori model. That model has been validated and re-specified on the basis of a multiple case study, which involved four industrial process mining projects. The unique contribution of this paper is that it presents the first set of success factors and measures on the basis of an analysis of real process mining projects. The presented model can also serve as a basis for further extension and refinement using insights from additional analyses.

Original languageEnglish
Publication statusPublished - 1 Jan 2013
Event21st European Conference on Information Systems, ECIS 2013 - Utrecht, Netherlands
Duration: 5 Jun 20138 Jun 2013


Conference21st European Conference on Information Systems, ECIS 2013


  • Case study
  • Process mining
  • Success factors
  • Success measures


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