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

Mohamad Hamed (), Tariq Mahmoud (), Jorge Marx Gómez () and Georges Kfouri ()
Additional contact information
Mohamad Hamed: Oldenburg University
Tariq Mahmoud: Oldenburg University
Jorge Marx Gómez: Oldenburg University
Georges Kfouri: Vilnius University

A chapter in Modernizing Academic Teaching and Research in Business and Economics, 2017, pp 71-84 from Springer

Abstract: 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.

Keywords: Data Warehouse (DW); Data Mining (DM); Business Intelligence (BI); Databases; Information; Knowledge; Decision Support Systems (DSS); Operational Systems (OS) (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-54419-9_4

Ordering information: This item can be ordered from
http://www.springer.com/9783319544199

DOI: 10.1007/978-3-319-54419-9_4

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().