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A business intelligence framework for Higher Education Institutions


Article Information

Title: A business intelligence framework for Higher Education Institutions

Authors: Nur Ain Zulkefli, Suraya Miskon, Haslina Hashim, Rose Alinda Alias, Norris Syed Abdullah, Norasnita Ahmad, Nazmona Mat Ali, Mohd Aizaini Maarof

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 23

Language: English

Categories

Abstract

Stakeholders are progressively measuring the success of Higher Education Institutions (HEIs) in terms of graduation rates. Today, HEIs are under intense pressure to not only recruit students who have the potential to graduate on time, but also to detect and provide at-risk students with necessary remedial measures. However, most top management has difficulty in accessing data in their organization as the number of data increases continuously. Business Intelligence (BI) is one of the tools used widely to help organizations such as HEI to access and manage huge volumes of data. The features provided in BI tools enable managers to make accurate and effective decisions at the appropriate time and in the right format. Through systematic literature review (SLR), this paper discusses formulation of Business Intelligence framework for deploying solutions in HEIs that guides current practice and for the future research.


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