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2017 | OriginalPaper | Chapter

Discovering Causal Factors Explaining Business Process Performance Variation

Authors : Bart F. A. Hompes, Abderrahmane Maaradji, Marcello La Rosa, Marlon Dumas, Joos C. A. M. Buijs, Wil M. P. van der Aalst

Published in: Advanced Information Systems Engineering

Publisher: Springer International Publishing

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Abstract

Business process performance may be affected by a range of factors, such as the volume and characteristics of ongoing cases or the performance and availability of individual resources. Event logs collected by modern information systems provide a wealth of data about the execution of business processes. However, extracting root causes for performance issues from these event logs is a major challenge. Processes may change continuously due to internal and external factors. Moreover, there may be many resources and case attributes influencing performance. This paper introduces a novel approach based on time series analysis to detect cause-effect relations between a range of business process characteristics and process performance indicators. The scalability and practical relevance of the approach has been validated by a case study involving a real-life insurance claims handling process.

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previous chapter Analysis of Online Discussions in Support of Requirements Discovery

next chapter Enriching Decision Making with Data-Based Thresholds of Process-Related KPIs

\(\mathcal {P}(Y)\) denotes the powerset of a set Y, i.e. \(X \in \mathcal {P}(Y) \iff X \subseteq Y\).

See http://promtools.org and the RootCauseAnalysis package for more information.

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Title: Discovering Causal Factors Explaining Business Process Performance Variation
Authors: Bart F. A. Hompes
Abderrahmane Maaradji
Marcello La Rosa
Marlon Dumas
Joos C. A. M. Buijs
Wil M. P. van der Aalst
Publisher: Springer International Publishing
Book: Advanced Information Systems Engineering
Print ISBN: 978-3-319-59535-1

Electronic ISBN: 978-3-319-59536-8

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-59536-8_12

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