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Banking industry is well adapting to the uses of Statistics and Analytics in their various business practices. One among them is credit risk and credit rating which they use to determine the potential customer who pay back the amount loaned. Cross selling is another important process bankers focus on using Statistics and Analytics. They analyze what all other banking products and services the customers are willing to buy and at what time and frequency. Customer Lifetime Value (CLV) is winning the customers, earning their loyalty and maintaining them over the lifetime. This is done in best and most efficient way by the applications of Statistics and Analytics. Fraud management and prevention, Transaction channel identification, Risk assessment, Compliance and Reporting, Customer feedback and analysis are some of the various applications. Karl Pearson Institute (KPI) offers a wide range of Statistics and Analytics based solutions to its clients in banking industry across the globe.