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Using Data Mining and Business Intelligence to Develop Decision Support Systems in Arabic Higher Education Institutions

In: Modernizing Academic Teaching and Research in Business and Economics

Author

Listed:
  • Mohamad Hamed

    (Oldenburg University)

  • Tariq Mahmoud

    (Oldenburg University)

  • Jorge Marx Gómez

    (Oldenburg University)

  • Georges Kfouri

    (Vilnius University)

Abstract

The most academic institutions in Arabic countries depend on the centralized or decentralized information systems, operating independently from each other, the decision-makers rely on these systems in generation of the periodic and routine reports, that assist them in building the right decisions and proper responses to the changes in a timely manner. The data volume in these institutions have become enormous, after applying these systems for several years, the lack of interconnection between different systems caused difficulties to decision-makers in processing such large amounts of data and get an integrated and useful information that reflects the current situation of the institution. This paper aims at applying data mining and business intelligence concepts in order to address academic problems, specially the problems that related to students and academic advisors in the Arabic academic institutions. Thus this paper truly contributes to the development of academic quality.

Suggested Citation

  • Mohamad Hamed & Tariq Mahmoud & Jorge Marx Gómez & Georges Kfouri, 2017. "Using Data Mining and Business Intelligence to Develop Decision Support Systems in Arabic Higher Education Institutions," Springer Proceedings in Business and Economics, in: Jorge Marx Gómez & Marie K. Aboujaoude & Khalil Feghali & Tariq Mahmoud (ed.), Modernizing Academic Teaching and Research in Business and Economics, pages 71-84, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-54419-9_4
    DOI: 10.1007/978-3-319-54419-9_4
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    Cited by:

    1. William Villegas-Ch & Xavier Palacios-Pacheco & Sergio Luján-Mora, 2020. "A Business Intelligence Framework for Analyzing Educational Data," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    2. William Villegas-Ch & Adrián Arias-Navarrete & Xavier Palacios-Pacheco, 2020. "Proposal of an Architecture for the Integration of a Chatbot with Artificial Intelligence in a Smart Campus for the Improvement of Learning," Sustainability, MDPI, vol. 12(4), pages 1-20, February.

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