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Multi-Criteria Business Intelligence Approach

  • Conference paper
Signal Processing and Information Technology (SPIT 2011)

Abstract

Multi Criteria Business Intelligence approach (MCBI) aims to enhancement Business Intelligence Applications (BIA) by applying Multi-Criteria Decision Making (MCDM). MCBI approach contributes to improve Business Intelligence Decision Support System (BIDSS) for BIA. Also MCBI approach presents a standard method to evaluate and select business decisions. The recommended business decision is the suitable and optimal choice to implement. The proposed model for MCBI approach that consists of five major components. The first component is business objectives, problem definition and main goals. The second component is a business heterogeneous data treatment which gathering from different resources and related with different areas. The third component is a unified business intelligence databases. The fourth component is a business intelligence processing. The fifth component is a evaluating the business decisions to select the suitable and optimal solution.

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Author information

Authors and Affiliations

  1. Faculty of Computers and Information, Helwan University, Helwan, Egypt

    Torky Sultan & Ayman E. Khedr

  2. Central Lab of Agriculture Expert Systems (CLAES), ARC, Giza, Egypt

    Mohamed M. R. Ali

Authors
  1. Torky Sultan
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  2. Ayman E. Khedr
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  3. Mohamed M. R. Ali
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Editor information

Editors and Affiliations

  1. Institute of Doctors Engineering and Scientists, Ouderkerk aan de Amstel, 1191 GT, Amsterdam,, The Netherlands

    Vinu V. Das

  2. London Metropolitan University, Tower Building 166-220 Holloway Road, N7 8DB, London, UK

    Ezendu Ariwa

  3. Block F, FTSM, Faculty of Information Scienceand Technology, Universiti Kebangsaan Malaysia UKM, 43600, Bangi, Selangor, Malaysia

    Syarifah Bahiyah Rahayu

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Sultan, T., Khedr, A.E., Ali, M.M.R. (2012). Multi-Criteria Business Intelligence Approach. In: Das, V.V., Ariwa, E., Rahayu, S.B. (eds) Signal Processing and Information Technology. SPIT 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32573-1_4

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  • DOI: https://doi.org/10.1007/978-3-642-32573-1_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32572-4

  • Online ISBN: 978-3-642-32573-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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