Discovering causal factors explaining business process performance

Conference Contribution

Hompes, B.F.A., Maaradji, Abderrahmane, La Rosa, M., Dumas, M., Buijs, J.C.A.M. & van der Aalst, W.M.P. (2017). Discovering causal factors explaining business process performance. CAiSE 2017 (pp. 177-191). Essen: Springer International Publishing AG. In Scopus Cited 0 times.

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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.