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Business Process Analytics

In: Handbook on Business Process Management 2

Author

Listed:
  • Michael zur Muehlen

    (Stevens Institute of Technology)

  • Robert Shapiro

    (Process Analytica)

Abstract

Business Process Management systems (BPMS) are a rich source of events that document the execution of processes and activities within these systems. Business Process Management analytics is the family of methods and tools that can be applied to these event streams in order to support decision making in organizations. The analysis of process events can focus on the behavior of completed processes, evaluate currently running process instances, or focus on predicting the behavior of process instances in the future. This chapter provides an overview of the different methods and technologies that can be employed in each of these three areas of process analytics. We discuss the underlying format and types of process events as the common source of analytics information, present techniques for the aggregation and composition of these events, and outline methods that support backward- and forward-looking process analytics.

Suggested Citation

  • Michael zur Muehlen & Robert Shapiro, 2015. "Business Process Analytics," International Handbooks on Information Systems, in: Jan vom Brocke & Michael Rosemann (ed.), Handbook on Business Process Management 2, edition 2, pages 243-263, Springer.
    • Handle: RePEc:spr:ihichp:978-3-642-45103-4_10
    DOI: 10.1007/978-3-642-45103-4_10
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    Cited by:

    1. Edyta Brzychczy & Paulina Gackowiec & Mirko Liebetrau, 2020. "Data Analytic Approaches for Mining Process Improvement—Machinery Utilization Use Case," Resources, MDPI, vol. 9(2), pages 1-17, February.
    2. Karl R. Lang & Vojislav B. Misic & Leon J. Zhao, 2015. "Special section on business process analytics," Information Systems Frontiers, Springer, vol. 17(6), pages 1191-1194, December.
    3. Felix Oberdorf & Myriam Schaschek & Sven Weinzierl & Nikolai Stein & Martin Matzner & Christoph M. Flath, 2023. "Predictive End-to-End Enterprise Process Network Monitoring," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(1), pages 49-64, February.

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