Advance Architecture of Business Intelligence for Collaborative Competitive Environment : An IT Perspective

Abstract

There is a need for a new architecture that serves the needs of the enterprise in the 21st century – an updated architecture that provides a
foundation for business intelligence (BI) , customer data integration, predictive analytics, master data management and more. There are many
other aspects of this architecture that are intriguing as well, such as the support of online transaction processing, the linkage of structured and
unstructured data and selection/deselection of certain unstructured data as part of the infrastructure. The best infrastructure in the world will not deliver the desired results from an operational business intelligence application unless the very best planning and management of the project are in place and are practiced. Business intelligence will always have a key role to play in serving as a platform for decision making as we have to choose between several courses of action. Only if there is a rigorous and methodical analysis of the facts we have at hand, will we purposefully move in the
right direction. And, illicit trade makes it very clear that, at the very least, we have to try. When implementing business intelligence, cultural
considerations may equal technical considerations in importance. This research covers the rigorous study of practical implementation of Business Intelligence in the enterprise. It provides a novel framework for BI which can be benefiacil in ideal conditions .