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Generic framework for better choosing between data integration types (GFCBDIT) during build business intelligence applications

Organizations design their own business intelligent (BI) systems to fundamentally support and improve their decision support systems. Decision-making process is indispensable in a world of constant changes; two important changes are the rapid response of organizations and companies in such process,...

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Main Authors: Mousa, Ayad Hameed, Shiratuddin, Norshuhada, Abu Bakar, Muhamad Shahbani
Format: Article
Language:English
Published: Advanced Institutes of Convergence Information Technology 2014
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/15117/1/f105d6e.pdf
http://repo.uum.edu.my/15117/
http://search.proquest.com/openview/f105d6ebf24b9672f0fb5b2cab483e53/1?pq-origsite=gscholar
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spelling my.uum.repo.151172016-04-18T03:33:29Z http://repo.uum.edu.my/15117/ Generic framework for better choosing between data integration types (GFCBDIT) during build business intelligence applications Mousa, Ayad Hameed Shiratuddin, Norshuhada Abu Bakar, Muhamad Shahbani QA76 Computer software Organizations design their own business intelligent (BI) systems to fundamentally support and improve their decision support systems. Decision-making process is indispensable in a world of constant changes; two important changes are the rapid response of organizations and companies in such process, and recognition of data integration as the backbone of most BI systems. For designers, the existence of two main types of data integration causes difficulty in selecting the best one during the process of designing their own BI applications.In this paper, the design and implementation of Generic Framework for Better Choosing Between Data Integration Types, a general framework that can be used by developers of any BI application, is proposed to help in the selection of the most suitable type of data integration. Comparative analysis between two techniques related with data integration is performed, and a prototype of the proposed framework is constructed to enable its use. Advanced Institutes of Convergence Information Technology 2014 Article PeerReviewed application/pdf en http://repo.uum.edu.my/15117/1/f105d6e.pdf Mousa, Ayad Hameed and Shiratuddin, Norshuhada and Abu Bakar, Muhamad Shahbani (2014) Generic framework for better choosing between data integration types (GFCBDIT) during build business intelligence applications. International Journal of Digital Content Technology and its Applications, 8 (5). pp. 27-35. ISSN 1975-9339 http://search.proquest.com/openview/f105d6ebf24b9672f0fb5b2cab483e53/1?pq-origsite=gscholar
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Mousa, Ayad Hameed
Shiratuddin, Norshuhada
Abu Bakar, Muhamad Shahbani
Generic framework for better choosing between data integration types (GFCBDIT) during build business intelligence applications
description Organizations design their own business intelligent (BI) systems to fundamentally support and improve their decision support systems. Decision-making process is indispensable in a world of constant changes; two important changes are the rapid response of organizations and companies in such process, and recognition of data integration as the backbone of most BI systems. For designers, the existence of two main types of data integration causes difficulty in selecting the best one during the process of designing their own BI applications.In this paper, the design and implementation of Generic Framework for Better Choosing Between Data Integration Types, a general framework that can be used by developers of any BI application, is proposed to help in the selection of the most suitable type of data integration. Comparative analysis between two techniques related with data integration is performed, and a prototype of the proposed framework is constructed to enable its use.
format Article
author Mousa, Ayad Hameed
Shiratuddin, Norshuhada
Abu Bakar, Muhamad Shahbani
author_facet Mousa, Ayad Hameed
Shiratuddin, Norshuhada
Abu Bakar, Muhamad Shahbani
author_sort Mousa, Ayad Hameed
title Generic framework for better choosing between data integration types (GFCBDIT) during build business intelligence applications
title_short Generic framework for better choosing between data integration types (GFCBDIT) during build business intelligence applications
title_full Generic framework for better choosing between data integration types (GFCBDIT) during build business intelligence applications
title_fullStr Generic framework for better choosing between data integration types (GFCBDIT) during build business intelligence applications
title_full_unstemmed Generic framework for better choosing between data integration types (GFCBDIT) during build business intelligence applications
title_sort generic framework for better choosing between data integration types (gfcbdit) during build business intelligence applications
publisher Advanced Institutes of Convergence Information Technology
publishDate 2014
url http://repo.uum.edu.my/15117/1/f105d6e.pdf
http://repo.uum.edu.my/15117/
http://search.proquest.com/openview/f105d6ebf24b9672f0fb5b2cab483e53/1?pq-origsite=gscholar
_version_ 1644281634335227904
score 13.211869

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