Question

Describe how does predictive analytics differ from data mining and business intelligence? How are they related? Use examples to reinforce your answer.

Answer 1

Answer: Predictive analvsis differ from business intelligence and data mining. Data mining and predictive analysis both always follows perfect analysis to data to solve the business problems. But in data mining they consists of toolset analytically following in huge data sets automatically. In predictive analytics uses data methods to make prediction otherwise it use data methods to analyses the hard process for the customer . data mining always searches what to be done it successful by clues, where in predictive analytics it always based on the prediction of what is going to next process to follow. In business intelligence comparing it with predictive analvsis, the business Intelligence alwaysconveys perception whereas predictive analytics convey the action. Business intelligence process data in the structured manner and always present the process in a format of report and dashboard format it always improve the quality in the business trends to make it more flexible among environment. but in the predictive analvtics it always predict and takes its own individual decisions for the process performing directly. For example: this can be done with the comparison of satisfying the customer needs in the product sales by predicting the items before buying it and the quality of item solved by business intelligence Thus the predictive analytics differ from data mining and business intelligence