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Event-Driven Business Process Management

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Synonyms

Business process monitoring; Workflow management

Definition

The term Event-Driven Business Process Management is a combination of actually two different disciplines: Business Process Management (BPM) and Complex Event Processing (CEP). The common understanding behind BPM is that each company’s unique way of doing business is captured in its business processes. For this reason, business processes are today seen as the most valuable corporate asset. In the context of this entry, BPM means a software platform which provides companies the ability to model, manage, and optimize these processes for significant gain. As an independent system, Complex Event Processing (CEP) is a parallel running platform that analyses and processes events. The BPM- and the CEP-platform correspond via events which are produced by the BPM-workflow engine and by the IT services which are associated with the business process steps.

Historical Background

The term “Event Driven Business Process Management”...

Keywords

  • Business Process
  • Business Process Management
  • Event Pattern
  • Business Process Model
  • Process Instance

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Fig. 1

Recommended Reading

  1. Ammon RV, Silberbauer C, Wolff C. Domain specific reference models for event patterns – for faster developing of business activity monitoring applications. In: Proceedings of VIP Symposium on Internet Related Research; 2007.

    Google Scholar 

  2. Brandl H-M, Guschakowski D. Complex event processing in the context of business activity monitoring. An evaluation of different approaches and tools taking the example of the next generation easycredit. Diploma thesis. 2007. http://www.citt-online.de/downloads/Diplomarbeit_BaGu_Final.pdf

  3. Bruce Silver Associates. FileNet P8 – event-driven business process management. Industry trend reports, June 2003. Available at: http://www.ecm-unverzichtbar.de/Repository/48/files/69_EvBPM.pdf; http://www.complexevents.com/

  4. Danielsson K, Trotta G. Key requirements for event-driven BPM and SOA. Available at: http://www.ebizq.net/topics/bpm/features/8700.html

  5. Emmersberger C, Springer F. Event driven business process management. An evaluation of the approach of Oracle and the Sopera open source framework. Diploma thesis. 2008. http://www.citt-online.de/downloads/EmmSpr_Diplomarbeit_Final.pdf

  6. Hayes-Roth F. Value information at the right time (VIRT): why less volume is more value in hastily formed networks. Available at: www.nps.edu/cebrowski/Docs/VIRTforHFNs.pdf. 2007.

  7. Luckham D. The power of events: an introduction to complex event processing in distributed enterprise systems. Reading: Addison-Wesley; 2002.

    Google Scholar 

  8. OMG/BPMI. Business process modeling notation (BPMN) information. Available at: http://www.bpmn.org/

  9. Ranadive V. The power to predict: how real time businesses anticipate customer needs, create opportunities and beat the competition. New York: McGraw-Hill; 2006.

    Google Scholar 

  10. Use cases of CEP applications. Available at: http://complexevents.com/?cat=16

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Correspondence to Rainer von Ammon .

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© 2016 Springer Science+Business Media New York

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von Ammon, R. (2016). Event-Driven Business Process Management. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_577-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_577-2

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

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