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

Preview

PDF (Abstract) Download (719kB) | Preview

Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Data Integration, Data Virtualization, Data Warehouse, Business Intelligence
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	School of Computing
Depositing User:	Prof Dr. Norshuhada Shiratuddin
Date Deposited:	11 Aug 2015 03:35
Last Modified:	18 Apr 2016 03:33
URI:	https://repo.uum.edu.my/id/eprint/15117

Actions (login required)

View Item