A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies
Business Intelligence (BI) is the process of getting the right information to the right decision makers at the right time and in the right format. It is a platform that supports analysis, reporting and decision making. Educational Business Intelligence (EduBI) architecture utilizes BI technolo...
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2014
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my-unisza-ir.55682022-09-13T05:49:27Z http://eprints.unisza.edu.my/5568/ A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies Azwa, Abdul Aziz Hasni, Hassan Julaily Aida, Jusoh QA75 Electronic computers. Computer science Business Intelligence (BI) is the process of getting the right information to the right decision makers at the right time and in the right format. It is a platform that supports analysis, reporting and decision making. Educational Business Intelligence (EduBI) architecture utilizes BI technologies to integrate various sources of academic data into a single repository (Educational Data Warehouse – EDW). BI is a useful tool since it reinforces the process of performance and analysis evaluation that is required within all levels of educational environment. Nowadays, there are various BI products ranging from simple reporting technologies to sophisticated BI platforms. Selection of a BI tool deemed appropriate for a particular task may turn out to be difficult; hence careful considerations must be made in the selection process. This paper proposed an EDW architecture that employs the integration of proprietary and open source BI tools. Little Lion Scientific 2014-11 Article PeerReviewed image en http://eprints.unisza.edu.my/5568/1/FH02-FIK-14-01877.jpg Azwa, Abdul Aziz and Hasni, Hassan and Julaily Aida, Jusoh (2014) A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies. Journal of Theoretical and Applied Information Technology, 69 (1). pp. 50-58. ISSN 1992-8645 |
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QA75 Electronic computers. Computer science Azwa, Abdul Aziz Hasni, Hassan Julaily Aida, Jusoh A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
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Business Intelligence (BI) is the process of getting the right information to the right decision makers at the right time and in the right format. It is a platform that supports analysis, reporting and decision making. Educational Business Intelligence (EduBI) architecture utilizes BI technologies to integrate various sources of academic data into a single repository (Educational Data Warehouse – EDW). BI is a useful tool since it reinforces the process of performance and analysis evaluation that is required within all levels of educational environment. Nowadays, there are various BI products ranging from simple reporting technologies to sophisticated BI platforms. Selection of a BI tool deemed appropriate for a particular task may turn out to be difficult; hence careful considerations must be made in the selection process. This paper proposed an EDW architecture that employs the integration of proprietary and open source BI tools. |
format |
Article |
author |
Azwa, Abdul Aziz Hasni, Hassan Julaily Aida, Jusoh |
author_facet |
Azwa, Abdul Aziz Hasni, Hassan Julaily Aida, Jusoh |
author_sort |
Azwa, Abdul Aziz |
title |
A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
title_short |
A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
title_full |
A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
title_fullStr |
A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
title_full_unstemmed |
A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
title_sort |
framework for educational data warehouse (edw) architecture using business intelligence (bi) technologies |
publisher |
Little Lion Scientific |
publishDate |
2014 |
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http://eprints.unisza.edu.my/5568/1/FH02-FIK-14-01877.jpg http://eprints.unisza.edu.my/5568/ |
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