Discovering causal factors explaining business process performance

B.F.A. Hompes, Abderrahmane Maaradji, M. La Rosa, M. Dumas, J.C.A.M. Buijs, W.M.P. van der Aalst

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

4 Citaties (Scopus)

Uittreksel

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.

Congres

Congres29th International Conference on Advanced Information Systems Engineering (CAiSE 2017)
Verkorte titelCAiSE'17
LandDuitsland
StadEssen
Periode12/06/1716/06/17
Internet adres

Vingerafdruk

Industry
Time series analysis
Insurance
Scalability
Information systems
Availability

Trefwoorden

    Citeer dit

    Hompes, B. F. A., Maaradji, A., La Rosa, M., Dumas, M., Buijs, J. C. A. M., & van der Aalst, W. M. P. (2017). Discovering causal factors explaining business process performance. In CAiSE 2017 (Vol. 10253, blz. 177-191). Essen: Springer. DOI: 10.1007/978-3-319-59536-8_12
    Hompes, B.F.A. ; Maaradji, Abderrahmane ; La Rosa, M. ; Dumas, M. ; Buijs, J.C.A.M. ; van der Aalst, W.M.P./ Discovering causal factors explaining business process performance. CAiSE 2017. Vol. 10253 Essen : Springer, 2017. blz. 177-191
    @inproceedings{17707619bcb84ee2bb9562d9a208b8bd,
    title = "Discovering causal factors explaining business process performance",
    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.",
    keywords = "process mining, causal factor, time series, business process",
    author = "B.F.A. Hompes and Abderrahmane Maaradji and {La Rosa}, M. and M. Dumas and J.C.A.M. Buijs and {van der Aalst}, W.M.P.",
    year = "2017",
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    Hompes, BFA, Maaradji, A, La Rosa, M, Dumas, M, Buijs, JCAM & van der Aalst, WMP 2017, Discovering causal factors explaining business process performance. in CAiSE 2017. vol. 10253, Springer, Essen, blz. 177-191, Essen, Duitsland, 12/06/17. DOI: 10.1007/978-3-319-59536-8_12

    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.

    CAiSE 2017. Vol. 10253 Essen : Springer, 2017. blz. 177-191.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    TY - GEN

    T1 - Discovering causal factors explaining business process performance

    AU - Hompes,B.F.A.

    AU - Maaradji,Abderrahmane

    AU - La Rosa,M.

    AU - Dumas,M.

    AU - Buijs,J.C.A.M.

    AU - van der Aalst,W.M.P.

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    N2 - 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.

    AB - 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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    KW - causal factor

    KW - time series

    KW - business process

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    DO - 10.1007/978-3-319-59536-8_12

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    Hompes BFA, Maaradji A, La Rosa M, Dumas M, Buijs JCAM, van der Aalst WMP. Discovering causal factors explaining business process performance. In CAiSE 2017. Vol. 10253. Essen: Springer. 2017. blz. 177-191. Beschikbaar vanaf, DOI: 10.1007/978-3-319-59536-8_12