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, 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.