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Multi organization business intelligence on the cloud / Mai Mahmoud Salaheldin Mohamed Kasem ; Supervised Ehab E. Hassanein

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mai Mahmoud Salaheldin Mohamed Kasem , 2019Description: 99 Leaves : charts , facsimiles ; 30cmOther title:
  • ذكاء الأعمال فى الأنظمة المتعددة على السحابة [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Systems Summary: Organizations are always seeking to become more intelligent and achieve a greater competitive advantage by using Business Intelligence (BI) solutions. BI solutions help organizations make strategic, informed, and effective decisions via analyzing and reporting the organization{u2019}s data; the better the data quality, the more accurate and informative the reports are. However, in the real-world complex business landscape, the data from a single organization may not be enough to generate an informed and effective strategic decision. Furthermore, most of the traditional BI solutions are built to serve a single organization; they use the organization{u2019}s local data to generate decisions, which could lead to incomplete or non-holistic results leading to non-accurate decisions. Collaborative BI solutions (CBI) resolve this challenge by extending the decision-making process beyond the organization{u2019}s boundaries when there are cooperation and data sharing agreements between different organizations. One of the technologies that can make the CBI solutions more accessible is Cloud Computing. Binding two technologies, such as Business Intelligence and Cloud Computing, helps in extending the CBI solutions to reach more users via cloud accessible services. It could also simplify the way different organizations are connected, and the way the data sharing is governed
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.04.M.Sc.2019.Ma.M (Browse shelf(Opens below)) Not for loan 01010110079383000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.04.M.Sc.2019.Ma.M (Browse shelf(Opens below)) 79383.CD Not for loan 01020110079383000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Systems

Organizations are always seeking to become more intelligent and achieve a greater competitive advantage by using Business Intelligence (BI) solutions. BI solutions help organizations make strategic, informed, and effective decisions via analyzing and reporting the organization{u2019}s data; the better the data quality, the more accurate and informative the reports are. However, in the real-world complex business landscape, the data from a single organization may not be enough to generate an informed and effective strategic decision. Furthermore, most of the traditional BI solutions are built to serve a single organization; they use the organization{u2019}s local data to generate decisions, which could lead to incomplete or non-holistic results leading to non-accurate decisions. Collaborative BI solutions (CBI) resolve this challenge by extending the decision-making process beyond the organization{u2019}s boundaries when there are cooperation and data sharing agreements between different organizations. One of the technologies that can make the CBI solutions more accessible is Cloud Computing. Binding two technologies, such as Business Intelligence and Cloud Computing, helps in extending the CBI solutions to reach more users via cloud accessible services. It could also simplify the way different organizations are connected, and the way the data sharing is governed

Issued also as CD

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