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Visual Representation of Resource Analysis Insights for Process Mining

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Enterprise, Business-Process and Information Systems Modeling (BPMDS 2024, EMMSAD 2024)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 511))

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Abstract

Resource analysis is an area of process mining concerned with the behavior and performance of resources within business processes. Recent contributions in this field have predominantly focused on gaining specific insights, less so on their visual representation. In this paper, we propose a resource analytics technique that focuses on effective visualization of the analysis. Our technique allows us to analyze the allocation and performance of single resource units and roles within a business process. We evaluate our technique using a prototypical implementation.

J. Mendling—The research of the authors was supported by the Einstein Foundation Berlin under grant EPP-2019-524, by the German Federal Ministry of Education and Research under grant 16DII133, and by Deutsche Forschungsgemeinschaft under grant ME 3711/2-1.

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Notes

  1. 1.

    https://github.com/MaxVidgof/resource-analytics.

  2. 2.

    https://plotly.com/python/.

  3. 3.

    https://fluxicon.com/disco/files/Disco-Demo-Logs.zip.

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Author information

Authors and Affiliations

  1. Wirtschaftsuniversität Wien, Vienna, Austria

    Alana Hoogmoed, Maxim Vidgof & Jan Mendling

  2. Humboldt-Universität zu Berlin, Berlin, Germany

    Christoffer Rubensson & Jan Mendling

  3. Weizenbaum Institute, Berlin, Germany

    Djordje Djurica, Christoffer Rubensson & Jan Mendling

  4. BOC Group, Vienna, Austria

    Djordje Djurica

Authors
  1. Alana Hoogmoed
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  2. Maxim Vidgof
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  3. Djordje Djurica
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  4. Christoffer Rubensson
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  5. Jan Mendling
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Corresponding author

Correspondence to Maxim Vidgof .

Editor information

Editors and Affiliations

  1. University of Vienna, Vienna, Austria

    Han van der Aa

  2. TU Wien, Vienna, Austria

    Dominik Bork

  3. Munich University of Applied Sciences, Munich, Germany

    Rainer Schmidt

  4. Ben-Gurion University of the Negev, Beer-Sheva, Israel

    Arnon Sturm

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Hoogmoed, A., Vidgof, M., Djurica, D., Rubensson, C., Mendling, J. (2024). Visual Representation of Resource Analysis Insights for Process Mining. In: van der Aa, H., Bork, D., Schmidt, R., Sturm, A. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2024 2024. Lecture Notes in Business Information Processing, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-031-61007-3_10

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  • DOI: https://doi.org/10.1007/978-3-031-61007-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-61006-6

  • Online ISBN: 978-3-031-61007-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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