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Mining Process Mining Practices: An Exploratory Characterization of Information Needs in Process Analytics

  • Christopher KlinkmüllerEmail author
  • Richard Müller
  • Ingo Weber
Conference paper
  • 1.3k Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11675)

Abstract

Many business process management activities benefit from the investigation of event data. Thus, research, foremost in the field of process mining, has focused on developing appropriate analysis techniques, visual idioms, methodologies, and tools. Despite the enormous effort, the analysis process itself can still be fragmented and inconvenient: analysts often apply various tools and ad-hoc scripts to satisfy information needs. Therefore, our goal is to better understand the specific information needs of process analysts. To this end, we characterize and examine domain problems, data, analysis methods, and visualization techniques associated with visual representations in 71 analysis reports. We focus on the representations, as they are of central importance for understanding and conveying information derived from event data. Our contribution lies in the explication of the current state of practice, enabling the evaluation of existing as well as the creation of new approaches and tools against the background of actual, practical needs.

Keywords

Process mining Visual analytics Qualitative content analysis 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Christopher Klinkmüller
    • 1
    Email author
  • Richard Müller
    • 2
  • Ingo Weber
    • 1
  1. 1.Data61, CSIROEveleighAustralia
  2. 2.Leipzig UniversityLeipzigGermany

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