Focusing business improvements using process mining based influence analysis

Teemu Lehto*, Markku Hinkka, Jaakko Hollmén

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

6 Citations (Scopus)


Business processes are traditionally regarded as generalized abstractions describing the activities and common behaviour of a large group of process instances. However, the recent developments in process mining and data analysis show that individual process instances may behave very different from each other. In this paper we present a generic methodology called influence analysis for finding business improvement areas related to business processes. Influence analysis is based on process mining, root cause analysis and classification rule mining. We present three generic target levels for business improvements and define corresponding probability-based interestingness measures. We then define measures for reporting the contribution results to business people and show how these measures can be used to focus improvements. Real-life case study is also included to show the methodology in action.

Original languageEnglish
Title of host publicationBusiness Process Management Forum - BPM Forum, 2016, Proceedings
Number of pages16
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Business Process Management - Rio de Janeiro, Brazil
Duration: 18 Sep 201622 Sep 2016

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)18651348


ConferenceInternational Conference on Business Process Management
Abbreviated titleBPM
CityRio de Janeiro


  • Classification rule mining
  • Contribution
  • Data mining
  • Influence analysis
  • Process analysis
  • Process improvement
  • Process mining
  • Root cause analysis

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