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Process Mining

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Abstract

Process mining collects the digital traces of processes in order to analyze the different and sometimes excessive variants a process flow can take. Process improvements based on this new transparency level create significant added value. The authors illustrate how to successfully set up process mining and how to utilize the knowledge gained in this process. The important role of process mining as an up-front technology for Robotic Process Automation (RPA) and hyperautomation is pointed out.

Keywords

  • Process mining
  • Digital traces of processes
  • RPA

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  • DOI: 10.1007/978-3-030-78829-2_15
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Literature

  • Burattin, Andrea. 2015. Process Mining Techniques in Business Environments. Springer.

    CrossRef  Google Scholar 

  • Czwalina, Marie Kristin, Chiara Jakobs, Christopher Schmidt, Matthias Jacoby, and Sebastian Geisel. 2021. “Processes in a Digital Environment.” In The Digital Journey of Banking and Insurance, Volume II—Digitalization and Machine Learning, edited by Volker Liermann and Claus Stegmann. New York: Palgrave Macmillan.

    Google Scholar 

  • Gartner. 2020. Gartner Information Technology Glossary. Accessed September 21, 2020. https://www.gartner.com/en/information-technology/glossary/process-mining#:~:text=Process%20mining%20is%20a%20technique,models%20from%20an%20event%20log.

  • IEEE Task Force on Process Mining. 2012. “Process Mining Manifesto.” Accessed September 9, 2020. https://www.tf-pm.org/resources/manifesto.

  • Liermann, Volker, Sangmeng Li, and Johannes Waizner. 2021. “Hyperautomation (Automated Decision-Making as Part of RPA).” In The Digital Journey of Banking and Insurance, Volume II—Digitalization and Machine Learning, edited by Volker Liermann and Claus Stegmann. New York: Palgrave Macmillan.

    Google Scholar 

  • Soybir, Sefa, and Christopher Schmidt. 2021. “Project Management and RPA.” In The Digital Journey of Banking and Insurance, Volume I—Disruption and DNA, edited by Volker Liermann and Claus Stegmann. New York: Palgrave Macmillan.

    Google Scholar 

  • van der Aalst, Wil. 2016. Process Mining. Berlin Heidelberg: Springer.

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Correspondence to Lars Rautenburger .

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Rautenburger, L., Liebl, A. (2021). Process Mining. In: Liermann, V., Stegmann, C. (eds) The Digital Journey of Banking and Insurance, Volume II. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-78829-2_15

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  • DOI: https://doi.org/10.1007/978-3-030-78829-2_15

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  • Publisher Name: Palgrave Macmillan, Cham

  • Print ISBN: 978-3-030-78828-5

  • Online ISBN: 978-3-030-78829-2

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