Business intelligence modelling for graduate entrepreneur programme
Business Intelligence (BI), which is the process of collecting, analysing, and transforming data using Data Warehouse (DW) is seen as one of the growing approaches to provide meaningful information for the Malaysian Ministry of Higher Education (MOHE). MOHE is responsible for managing various activ...
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Universiti Utara Malaysia Press
2014
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my.uum.repo.138052016-04-27T04:13:10Z http://repo.uum.edu.my/13805/ Business intelligence modelling for graduate entrepreneur programme Abu Bakar, Muhamad Shahbani Ta'a, Azman QA76 Computer software Business Intelligence (BI), which is the process of collecting, analysing, and transforming data using Data Warehouse (DW) is seen as one of the growing approaches to provide meaningful information for the Malaysian Ministry of Higher Education (MOHE). MOHE is responsible for managing various activities to encourage graduate entrepreneurs to venture into businesses and ensure that the country has many successful entrepreneurs.Therefore, systematic and accurate information needs to be available for planning, implementing, and monitoring entrepreneurs’ performances.This paper proposes the modelling and designing of the graduate entrepreneur profile system – Intelligent Profile Analysis Graduate Entrepreneur (iPAGE) using the BI approach.Two main methodologies were used, namely the Requirements Centric Operational Data Store (ReCODS) and the Rapid Application Development (RAD) to model and design this system.The iPAGE was validated and evaluated by users, entrepreneurs’ personnel and DW experts. Indeed, the approach will be used to benchmark the development of an entrepreneurial information system in the future. Universiti Utara Malaysia Press 2014 Article PeerReviewed application/pdf en http://repo.uum.edu.my/13805/1/4jict2014.pdf Abu Bakar, Muhamad Shahbani and Ta'a, Azman (2014) Business intelligence modelling for graduate entrepreneur programme. Journal of Information and Communication Technology, 13. pp. 55-86. ISSN 2180-3862 http://jict.uum.edu.my/ |
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QA76 Computer software Abu Bakar, Muhamad Shahbani Ta'a, Azman Business intelligence modelling for graduate entrepreneur programme |
description |
Business Intelligence (BI), which is the process of collecting, analysing, and transforming data using Data Warehouse (DW) is seen as one of the growing approaches to provide meaningful
information for the Malaysian Ministry of Higher Education (MOHE). MOHE is responsible for managing various activities to encourage graduate entrepreneurs to venture into businesses
and ensure that the country has many successful entrepreneurs.Therefore, systematic and accurate information needs to be available for planning, implementing, and monitoring entrepreneurs’ performances.This paper proposes the modelling
and designing of the graduate entrepreneur profile system – Intelligent Profile Analysis Graduate Entrepreneur (iPAGE) using the BI approach.Two main methodologies were used, namely the Requirements Centric Operational Data Store (ReCODS) and the Rapid Application Development (RAD) to model and design this system.The iPAGE was validated and evaluated by users, entrepreneurs’ personnel and DW experts. Indeed, the approach will be used to benchmark the development of an entrepreneurial information system in the future. |
format |
Article |
author |
Abu Bakar, Muhamad Shahbani Ta'a, Azman |
author_facet |
Abu Bakar, Muhamad Shahbani Ta'a, Azman |
author_sort |
Abu Bakar, Muhamad Shahbani |
title |
Business intelligence modelling for graduate entrepreneur programme |
title_short |
Business intelligence modelling for graduate entrepreneur programme |
title_full |
Business intelligence modelling for graduate entrepreneur programme |
title_fullStr |
Business intelligence modelling for graduate entrepreneur programme |
title_full_unstemmed |
Business intelligence modelling for graduate entrepreneur programme |
title_sort |
business intelligence modelling for graduate entrepreneur programme |
publisher |
Universiti Utara Malaysia Press |
publishDate |
2014 |
url |
http://repo.uum.edu.my/13805/1/4jict2014.pdf http://repo.uum.edu.my/13805/ http://jict.uum.edu.my/ |
_version_ |
1644281286462799872 |
score |
13.149126 |