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Integration of Event Data from Heterogeneous Systems to Support Business Process Analysis

  • Conference paper
Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 415))

Abstract

Business Intelligence (BI) systems have traditionally been warehouse based, and have not been sufficiently process-aware to support the needs of process improvement type activities. It has been a challenge to leverage BI (and increasingly Analytics) functionality within the context of an overall process model. The ability to drill down into process data, track specific chains of process events, perform what-if type analysis, as well as monitoring overall aggregate performance is where process-aware Business Activity Monitoring (BAM) systems can play a significant role in improving performance. This paper presents a system prototype with the capabilities of integrating event data flowing through different heterogeneous systems such as business process execution language (BPEL) engines, enterprises resource planning (ERP) systems, workflows, legacy systems, etc., as well as storing this data into a global process execution repository. A new language for querying the stored event information is presented.

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Author information

Authors and Affiliations

  1. National University of Ireland, Galway, Ireland

    Alejandro Vera Baquero & Owen Molloy

Authors
  1. Alejandro Vera Baquero
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  2. Owen Molloy
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Editor information

Editors and Affiliations

  1. IST - Technical University of Lisbon, Av.Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

  2. Delft University of Technology, Mekelweg 4, 2628, Delft, CD, The Netherlands

    Jan L. G. Dietz

  3. Informatics Research Centre, Henley Business School, University of Reading, RG6 6UD, UK

    Kecheng Liu

  4. INSTICC and IPS, Estefanilha, Setúbal, Portugal

    Joaquim Filipe

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Baquero, A.V., Molloy, O. (2013). Integration of Event Data from Heterogeneous Systems to Support Business Process Analysis. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2012. Communications in Computer and Information Science, vol 415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54105-6_29

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  • DOI: https://doi.org/10.1007/978-3-642-54105-6_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54104-9

  • Online ISBN: 978-3-642-54105-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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