A highly dynamic market, changing client demands, fierce competition, the necessity of strict control and risk management are only some of the characteristics of the business environment where modern banks conduct their operations. Better management and better decision-making process make the difference between the successful and the unsuccessful on the market with these characteristics. Business intelligence solutions for banks should provide the decision makers from all business segments of a bank with the ability to manage and exploit information resources, in order to solve the problems and make timely and high-quality decisions. Business intelligence systems in banks must be comprehensive and yet simple for the end user. Based on an extensive literature survey, it was deciphered that there are issues that are left unaddressed concerning business intelligence system in Indian banking sector where the impact of data analytics technology on banking performance is very high. The existing literature also paved the way to understand that application of business intelligence system in making banking operations successful, to identify those dimensions constituting business intelligence system and its impact on banking and employee performance as a whole. The main objectives of the study are, identify the factors constituting the Business Intelligence System of Banks, evaluate the Role of Business Intelligence System Capabilities in Making Banking System Successful, analyse the Relationship between Components of Business Intelligence System and Decisions and between Components of Business Intelligence System and Employee and Bank Performance, assess the Influence of Business Intelligence System on Quality of Decision Making in Banks, examine and establish the Relationship between Business Intelligence System and Bank Employees Performance, analyse the impact of Business Intelligence System on the Bank Performance. In addition, to investigate the differences in various aspects of Business Intelligence System, Quality of Decision Making, Bank and Employees Performance across the selected Demographic Characteristics of Respondents and analyse the Association among the selected Demographic Characteristics of Business Intelligence System Analysts in Banks. Finally, to model the relationship between the Business Intelligence System and Employee Performance and Bank Performance using Structural Equation Modeling.