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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Pérez, M. L., & Møller, C. (2008). The predictive aspect of business process intelligence: Lessons learned on bridging IT and business. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4928 LNCS, pp. 11–16). https://doi.org/10.1007/978-3-540-78238-4_3
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