A PROPOSED MINING APPROACH BASED ON BUSINESS INTELLIGENCE BY USING DATA SCIENCES TECHNIQUES

The progression of the web has caused digitalization of data which opens up colossal data openings. Online data in colossal numbers leaves traces of what customers see, what they read, their affiliation and lead, judgment, about their tendencies and tendencies to give a great deal of data that can be burrowed for learning The estimation of enormous data lies in the results of examination and figures or exercises taken from the eventual outcomes of the assessment and desire from Jumia Website. Prescient examination is information use, measurable calculations, and AI methods to recognize potential patterns, occasions, and practices later on dependent on authentic This paper attempts to propose prescient investigation to foresee Consumer Behavior conduct on Jumia Website in Egypt by utilizing conduct information, informatics and investigation approach by utilizing Data Sciences Techniques through grouping Classification Technique by choice tree Algorithm in particular Random Tree the Results show that this the Random Tree Algorithm is reasonable for Jumia Datasets for anticipating Consumer conduct with the goal that more profound knowledge into Consumer conduct can be gotten to help prescient examination so as to improve business choice