Analysis of bank customers and prediction of bank marketing strategies

Abstract

Machine learning Visual Data Analysis is the method of using the computer graphics to explore and display data. The use of Machine learning algorithms has seen widespread use cases in the modern Data analysis field. The proposed system focuses on commercial banks' customer data, and focuses on the interaction techniques to predict the customer involvement and investment with the bank. We will be using EDA for the analysing part. Highlights of the findings suggest the strategies like Months of Marketing Activity, seasonality of the client’s deposit, the number of campaign calls and target clients with high duration with the bank. Finally By combining all these strategies and simplifying the market audience the next campaign should address, it is likely that the next marketing campaign of the bank will be more effective than the current one.