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Discovering causal factors explaining business process performance

Hompes, B.F.A. ; Maaradji, Abderrahmane ; La Rosa, M. ; Dumas, M. ; Buijs, J.C.A.M. ; van der Aalst, W.M.P.; Information Systems WSK&I

CAiSE 2017, 2017, Vol.10253, pp.177-191

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  • Nhan đề:
    Discovering causal factors explaining business process performance
  • Tác giả: Hompes, B.F.A. ; Maaradji, Abderrahmane ; La Rosa, M. ; Dumas, M. ; Buijs, J.C.A.M. ; van der Aalst, W.M.P.
  • Information Systems WSK&I
  • Chủ đề: Process Mining ; Causal Factor ; Time Series ; Business Process
  • Là 1 phần của: CAiSE 2017, 2017, Vol.10253, pp.177-191
  • Mô tả: 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.
  • Ngôn ngữ: English

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