The predictive aspect of business process intelligence: lessons learned on bridging IT and business

  • Authors:
  • Moisés Lima Pérez;Charles Møller

  • Affiliations:
  • -;Aalborg University, Aalborg O, Denmark

  • Venue:
  • BPM'07 Proceedings of the 2007 international conference on Business process management
  • Year:
  • 2007

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Abstract

This paper presents the arguments for a research proposal on predicting business events in a Business Process Intelligence (BPI) context. The paper argues that BPI holds a potential for leveraging enterprise benefits by supporting real-time processes. However, based on the experiences from past business intelligence projects the paper argues that it is necessary to establish a new methodology to mine and extract the intelligence on the business level which is different from that, which will improve a business process in an enterprise. In conclusion the paper proposes a new research project aimed at developing the new methodology in an Enterprise Information Systems context.