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BukuThe Predictive Aspect of Business Process Intelligence: Lessons Learned on Bridging IT and Business
Bibliografi
Author: Perez, Moises Lima ; Moller, Charles
Topik: Business Process Intelligence; Data Mining; Enterprise Information System; Customer Relationship Management
Bahasa: (EN )    
Penerbit: Springer-Verlag Berlin Heidelberg     Tempat Terbit: Heidelberg    Tahun Terbit: 2008    
Jenis: Papers/Makalah
Fulltext: The Predictive Aspect of Business Process Intelligence.pdf (108.2KB; 2 download)
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.
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