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Case Study in Process Mining in a Multinational Enterprise

  • Conference paper

Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 116)

Abstract

Process mining has become an active area of research and while there are numerous papers on approaches to process mining there are fewer detailing its application to real industrial scenarios and its applicability in these spaces. In this paper we introduce the approach to process mining used in a number of multinational enterprises and then reflect upon the issues that have been encountered during our ongoing work. In our opinion these issues are a clear example of the challenges that need to be addressed during business process discovery from heterogeneous data.

Keywords

  • Process Mining
  • Data Driven Process Discovery
  • Industrial Application
  • Case Study
  • Process Improvement

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© 2012 IFIP International Federation for Information Processing

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Taylor, P., Leida, M., Majeed, B. (2012). Case Study in Process Mining in a Multinational Enterprise. In: Aberer, K., Damiani, E., Dillon, T. (eds) Data-Driven Process Discovery and Analysis. SIMPDA 2011. Lecture Notes in Business Information Processing, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34044-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-34044-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34043-7

  • Online ISBN: 978-3-642-34044-4

  • eBook Packages: Computer ScienceComputer Science (R0)