Abstract
A major problem facing a Nation is the inability of business to last for a long period of time with good returns on investment and profit. This inefficient nature of businesses is rapidly affecting the growth of its economy. In an attempt to solve this problem this research provides a business success diagnosis system. The aim of the paper is to presents a design and implementation of a system for the diagnosis, prediction, and provision of recommendation for the success of a Business. The methodology used to develop the prediction model is based on correlation analysis for the data pre-processing and the combination of Naïve Bayes and J48 classification algorithm. Necessary heuristics for the diagnosis were collated from the review of existing business consulting systems, expert systems and human experts in the field of business consulting in Nigeria. In conclusion, the developed system will improve the rate of business success in Nigeria and provide a platform for entrepreneurial improvement in the Nigerian Economy. Finally the result of the evaluation revealed a great acceptance and necessity of the developed business diagnosis system.
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