Suggested Model for Business Intelligence in Higher Education

Suggested Model for Business Intelligence in Higher Education

Zaidoun Alzoabi, Faek Diko, Saiid Hanna
ISBN13: 9781613500507|ISBN10: 1613500505|EISBN13: 9781613500514
DOI: 10.4018/978-1-61350-050-7.ch011
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MLA

Alzoabi, Zaidoun, et al. "Suggested Model for Business Intelligence in Higher Education." Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications, edited by Asim Abdel Rahman El Sheikh and Mouhib Alnoukari, IGI Global, 2012, pp. 223-239. https://doi.org/10.4018/978-1-61350-050-7.ch011

APA

Alzoabi, Z., Diko, F., & Hanna, S. (2012). Suggested Model for Business Intelligence in Higher Education. In A. Rahman El Sheikh & M. Alnoukari (Eds.), Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications (pp. 223-239). IGI Global. https://doi.org/10.4018/978-1-61350-050-7.ch011

Chicago

Alzoabi, Zaidoun, Faek Diko, and Saiid Hanna. "Suggested Model for Business Intelligence in Higher Education." In Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications, edited by Asim Abdel Rahman El Sheikh and Mouhib Alnoukari, 223-239. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-050-7.ch011

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Abstract

BI is playing a major role in achieving competitive advantage in almost every sector of the market, and the higher education sector is no exception. Universities, in general, maintain huge databases comprising data of students, human resources, researches, facilities, and others. Data in these databases may contain decisive information for decision making. In this chapter we will describe a data mining approach as one of the business intelligence methodologies for possible use in higher education. The importance of the model arises from the reality that it starts from a system approach to university management, looking at the university as input, processing, output, and feedback, and then applies different business intelligence tools and methods to every part of the system in order to enhance the business decision making process. The chapter also shows an application of the suggested model on a real case study at the Arab International University.

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