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The Role of Business Intelligence and Analytics in Higher Education Quality: A Proposed Architecture

Sorour, Ali, ATKINS, Anthony, STANIER, Clare and Alharbi, Fawaz D. (2020) The Role of Business Intelligence and Analytics in Higher Education Quality: A Proposed Architecture. In: 2019 International Conference on Advances in the Emerging Computing Technologies (AECT). IEEE, pp. 1-6. ISBN 978-1-7281-4452-8

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Abstract or description

This paper aims to show how Business Intelligence is utilized in Higher Education Institutions for the purpose of monitoring Quality Assurance activities. This paper discusses Quality Assurance in Higher Education and investigates the challenging issues that institutions are facing. In addition, the paper discusses the role of Business Intelligence and Analytics in supporting decision making in the context of Higher Education. The paper outlines the link between Quality Assurance core elements and Business Intelligence systems. The paper outlines a proposed Business Intelligence solution for application to Higher Education in Saudi Arabia to address the main concerns for performance evaluation and monitoring in relation to Quality

Item Type: Book Chapter, Section or Conference Proceeding
Additional Information: “© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
Uncontrolled Keywords: Business intelligence, Education, Monitoring, Quality assurance, Data warehouses, Decision making, Stakeholders
Faculty: School of Digital, Technologies and Arts > Engineering
Event Title: International Conference on Advances in the Emerging Computing Technologies (ACET)
Event Location: Al Madinah Al Munawwarah, Saudi Arabia
Event Dates: 10/02/2020
Depositing User: Anthony ATKINS
Date Deposited: 21 Dec 2021 15:50
Last Modified: 10 Sep 2022 01:38
URI: https://eprints.staffs.ac.uk/id/eprint/7079

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