Modified and improved conceptual framework to organize large volume of data

A Modified improved conceptual framework is proposed in this paper for organizing the enormous volume of data having business information using data mining techniques to retrieve information and knowledge useful in supporting complex decision-making processes. In this article Using JSON because faster than XML. A heuristic approach for organizing business data is adopted, which allows us to create, confirm, or contradict a hypothesis. This is accomplished through the use of intelligent agents that act as conceptual “Data Crowed-Puller” (DCP). These DCPs attract fundamental pieces of business information. The essential part of the design fully support queries, both ad-hoc and long standing, which also act as DCP attracting the relevant information that a human analyst needs to estimate the validity of the hypothesis.