scholarly journals ICT Application in the Insurance Industry: Its Impact in Customer Relationship Management

Author(s):  
Evelina Bazini ◽  
Filloreta Madani
Author(s):  
Vikas Gautam

Customer relationship management in the insurance industry is in the nascent stage. Firms are framing new strategies to combat stiff competition. Public and private insurance companies are implementing customer relationship programs to attract more customers and retain existing customers. The objectives of this study are (1) to study the customer relationship management program of the Life Insurance Corporation of India, and (2) to assess the effectiveness of this customer relationship management program. The study is based on the opinion scores of 182 policyholders of Life Insurance Corporation of India, who have been with the company for more than the last five years. Based on the average opinion scores before and after the implementation of the Customer Relationship Management program, it was concluded that the program is effective, which was evidenced by the results obtained from statistical analysis (Paired sample t-test).


Author(s):  
Vikas Gautam

Customer relationship management in the insurance industry is in the nascent stage. Firms are framing new strategies to combat stiff competition. Public and private insurance companies are implementing customer relationship programs to attract more customers and retain existing customers. The objectives of this study are (1) to study the customer relationship management program of the Life Insurance Corporation of India, and (2) to assess the effectiveness of this customer relationship management program. The study is based on the opinion scores of 182 policyholders of Life Insurance Corporation of India, who have been with the company for more than the last five years. Based on the average opinion scores before and after the implementation of the Customer Relationship Management program, it was concluded that the program is effective, which was evidenced by the results obtained from statistical analysis (Paired sample t-test).


Author(s):  
LEELA RANI KOMMA REDDY ◽  
G LOSHMA

Customer Relationship Management provides a customer classification and prediction which is used for the optimization of business process. The classification and prediction which is used for the optimization of business process. This classification and prediction in CRM will help the company to study, analyze and forecast customers pattern of consumption, business transaction and purchasing CRM has become major activity in the enterprise based business organization using the CRM. CRM is an important activity in the enterprise business organization like banking industry, insurance industry, retail industry and manufacture industry. In the system we are using data mining techniques to implement customer classification in CRM as we need to analyze mass volume of data we are implementing an efficient and effective Neural Network based technique. Based on the existing system like Naïve Bayesian System, our proposed system implements Back propagation Neural Network techniques which would generate accurate results with less time complexity.


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