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International Conference on Business Process Management

BPM 2014: Business Process Management Workshops pp 317–329Cite as

Experimenting with an OLAP Approach for Interactive Discovery in Process Mining

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 202))

Abstract

Business process analysts must face the task of analyzing, monitoring and promoting improvements to different business processes. Process mining has emerged as a useful tool for analyzing event logs that are registered by information systems. It allows the discovering of process models considering different perspectives (control-flow, organizational, time). However, currently they lack the ability to explore jointly and interactively the different perspectives, which hinder the understanding of what is happening in the organization. This article proposes a novel approach for interactive discovery aimed at providing process analysts with a tool that allow them to explore multiple perspectives at different levels of detail, which is inspired on OLAP interactive concepts. This approach was implemented as a ProM plug-in and tested in an experiment with real users. Its main advantages are the productivity and operability when performing process discovery.

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Author information

Authors and Affiliations

  1. Computer Science Department, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

    Gustavo Pizarro & Marcos Sepúlveda

Authors
  1. Gustavo Pizarro
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  2. Marcos Sepúlveda
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Corresponding author

Correspondence to Marcos Sepúlveda .

Editor information

Editors and Affiliations

  1. IBM Research – Haifa, Haifa, Israel

    Fabiana Fournier

  2. Vienna University of Economics and Business, Vienna, Austria

    Jan Mendling

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Pizarro, G., Sepúlveda, M. (2015). Experimenting with an OLAP Approach for Interactive Discovery in Process Mining. In: Fournier, F., Mendling, J. (eds) Business Process Management Workshops. BPM 2014. Lecture Notes in Business Information Processing, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-15895-2_27

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  • DOI: https://doi.org/10.1007/978-3-319-15895-2_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15894-5

  • Online ISBN: 978-3-319-15895-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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