Optimization of the Payment Profile of a Bank Customer based on Data Analysis

Student: Rizvanov Aydar

Supervisor: Maxim Panov

Educational Programme: Mathematical Methods of Optimization and Stochastics (Master)

Year of Graduation: 2018

Customer value is an essential issue for analyzing customer interactions and cash flows for any commercial entity. In order to predict this value one needs to take into consideration a bunch of input parameters which would result in more explicit and exact customer targeting. Author suggest using the Customer Lifetime Value metric for this purposes. Incentives for using common linear models for forecasting the CLV as well as the interpretation of results are given. Historical data for these models were constructed by the author using the corporate client data of one the top Russian banks.

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