Discovering causal factors explaining business process performance

Hompes, Bart F.A., Maaradji, Abderrahmane, La Rosa, Marcello, Dumas, Marlon, Buijs, Joos C.A.M., & van der Aalst, Wil M.P. (2017) Discovering causal factors explaining business process performance. In 29th International Conference on Advanced Information Systems Engineering (CAiSE2017), 12-16 June 2017, Essen, Germany. (In Press)

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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ID Code: 102265
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: process mining, causal factor, time series, business process
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Decision Support and Group Support Systems (080605)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Engineering and Theory (080607)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Past > Schools > School of Information Systems
Copyright Owner: Copyright 2017 [please consult the author]
Deposited On: 07 Dec 2016 23:18
Last Modified: 06 Mar 2017 15:30

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