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Titles
English : Enhancement Business Intelligence Applications by applying Multi-Criteria Decision Making
Arabic : تحسين تطبيقات الأعمال الذكية بتطبيق المعايير المتعددة لصنع القرار
Abstract Business Intelligence Applications (BIA) are used by international companies to serve customers, retails and merchants over the internet all the time. BIA based on Electronic Commerce (EC) techniques, management and intelligent information systems to make better decisions. There are urgent needs to optimize the search space for selecting the most appropriate decision; therefore, the objective of this study is to maximize the output results of the BIA though proposing a new approach named Multi–Criteria Business Intelligence (MCBI) for fulfilling this purpose. The MCBI approach is used to enhance the BIA by applying Multi-Criteria Decision Making (MCDM). The major contribution of the MCBI approach is to improve business decisions and Business Intelligence Decision Support System (BIDSS) for BIA. 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 produce recommended business decisions. 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. We have implemented the MBCI approach on a system named “national food security” as a case study to verify its improvement in the results. The recommended business decisions are the appropriate and optimal decisions to be implemented. The proposed model for MCBI approach consists of five major stages; the first stage determines business objectives, problem definition and main goals by business owners and BI system stakeholders. The second stage collects business data and treatments heterogeneous data. The third stage builds unified business databases to perform analytical and mining processing for business data through Business Intelligence Processing Unit (BIPU) in fourth stage. Finally, the fifth stage evaluates the business decisions to select the appropriate and optimal solutions to be implemented.
Publication year 2012
Availability location كلية الحاسبات و المعلومات - جامعة حلوان
Availability number
Organization Name
    Central Laboratory for Agricultural Expert System (CLAES)
Country Egypt
Publisher Name: كلية الحاسبات و المعلومات - جامعة حلوان
Place: مصر
Author(s) from ARC
External authors (outside ARC)
    Prof. Torky I. Sultan Helwan University - FCI
    Dr. Ayman E. Khedr - Helwan University - FCI
Publication Type Master Thesis

 
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