Abstract

In this century, business intelligence is too important for managing the data, so this work suggests insightful business analytics that can help in the decision-making process. Ongoing advance in software programming innovation has created various novel methods to show the human dynamic cycle (the human decision-making process). At present time the organizations used information examinations tools. Because the advancement of technology increased competition, the companies that can rapidly transform data into information and then the action would have a greater chance of out moving their competitors. The work can do, is focused on the impact of artificial intelligence in business intelligence, data analytics, market deployment, future forecasting. The decision support system is a very powerful and popular model for machine learning. Technology has considerably advanced in the area of information system. The use of Random Forest improves decision tree, classification and help to make a better decision it helps in data accuracy and data classification. The result of the study and design of a decision support system will be used in system deployment and taking a better decision in future, according to the customer interest, analysis data, market trends and solve the problems facing by the users.

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