Enhancement of Business Intelligence Applications by Applying MCDM

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Multi Criteria Business Intelligence approach (MCBI) is used to enhance Business Intelligence Applications (BIA) by applying Multi-Criteria Decision Making (MCDM) techniques. MCBI approach presents a methodology to evaluate and select business decisions according to MCBI model. This methodology is based on the quantitative and qualitative methodologies to generate recommended business decisions to be implemented. MCBI approach consists of a set of models, descriptions and analysis methodologies that systematically exploit the available data to retrieve information, knowledge and advice useful in supporting complex decision making processes according to many criteria and alternatives. MCBI model consists of five major stages; the first stage determines business objectives, problem definition and main goals. The second stage collects data resources. The third stage builds unified databases to perform analytical and mining processes for business data through Business Intelligence Processing Unit (BIPU) in fourth stage. The fifth stage evaluates the business decisions to select the appropriate and optimal solutions to enhance national economy and food security as a case study.

Autorentext

Candidate degree of Doctor of Philosophy in Information Systems, FCI, Helwan University, Egypt. Ass. researcher in Central Lab of Agriculture Expert Systems, ARC, Egypt. Scientific member in Association of Computer Electronics and Electrical Engineers (ACEEE), Institute of Doctors Engineers and Scientists (IDES) and IACSIT.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659235535
    • Sprache Englisch
    • Größe H220mm x B150mm x T9mm
    • Jahr 2012
    • EAN 9783659235535
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-659-23553-5
    • Titel Enhancement of Business Intelligence Applications by Applying MCDM
    • Autor Mohamed M. Reda Ali
    • Untertitel A Case Study of Adaptive Business Intelligence System to Enhance National Economy
    • Gewicht 249g
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 156
    • Genre Informatik

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