From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events

Weinzierl S, Zilker S, Stierle M, Park G, Matzner M (2020)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Pages Range: 1-5

Conference Proceedings Title: Proceedings of the 15th International Conference on Wirtschaftsinformatik

Event location: Potsdam DE

URI: https://library.gito.de/open-access-pdf/C12_Prescriptive_process_monitoring_-_a_technique_for_determining_next_best_actions_resub.pdf

DOI: 10.30844/wi_2020_c12-weinzierl

Open Access Link: https://library.gito.de/open-access-pdf/C12_Prescriptive_process_monitoring_-_a_technique_for_determining_next_best_actions_resub.pdf

Abstract

Predictive business process monitoring (PBPM) deals with predicting a process’s future behavior based on historical event logs to support a process’s execution. Many of the recent techniques utilize a machine-learned model to predict which event type is the next most likely. Beyond PBPM, prescriptive BPM aims at finding optimal actions based on considering relevant key performance indicators. Existing techniques are geared towards the outcome prediction and deal with alarms for interventions or interventions that do not represent process events. In this paper, we argue that the next event prediction is insufficient for practitioners. Accordingly, this research-in-progress paper proposes a technique for determining next best actions that represent process events. We conducted an intermediate evaluation to test the usefulness and the quality of our technique compared to the most frequently cited technique for predicting next events. The results show a higher usefulness for process participants than a next most likely event.

Authors with CRIS profile

Sven Weinzierl Lehrstuhl für Digital Industrial Service Systems Sandra Zilker Lehrstuhl für Digital Industrial Service Systems Matthias Stierle Lehrstuhl für Digital Industrial Service Systems Martin Matzner Lehrstuhl für Digital Industrial Service Systems

How to cite

APA:

Weinzierl, S., Zilker, S., Stierle, M., Park, G., & Matzner, M. (2020). From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events. In Proceedings of the 15th International Conference on Wirtschaftsinformatik (pp. 1-5). Potsdam, DE.

MLA:

Weinzierl, Sven, et al. "From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events." Proceedings of the Internationale Tagung Wirtschaftsinformatik, Potsdam 2020. 1-5.

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