Methodological and practical aspects of data mining
Information and Management
Emerging standards for data mining
Computer Standards & Interfaces
Building Data Mining Applications for CRM
Building Data Mining Applications for CRM
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Applying Data Mining Techniques to a Health Insurance Information System
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Data Mining for the Enterprise
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Applications of Data Mining in Retail Business
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Study on data mining application in CRM system based on insurance trade
ICEC '05 Proceedings of the 7th international conference on Electronic commerce
Introduction to Data Mining and its Applications (Studies in Computational Intelligence)
Introduction to Data Mining and its Applications (Studies in Computational Intelligence)
Knowledge management in mobile environment
International Journal of Networking and Virtual Organisations
International Journal of Networking and Virtual Organisations
Management requirements for knowledge management systems in the virtual organisation
International Journal of Networking and Virtual Organisations
International Journal of Networking and Virtual Organisations
Research on the Application of Data Mining Technology in Insurance Informatization
HIS '09 Proceedings of the 2009 Ninth International Conference on Hybrid Intelligent Systems - Volume 03
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Organisations that are having a strong customer base are often facing the difficulties of managing customer's data. The insurance sector firms are primarily dependent on customer's base they had created. The growing demand of security of life in current worldly atmosphere is increasing. This is due to increased stress in every common man life. This has resulted in growing demand of insurance in every common man life. The stiff competition in insurance sector needs better focus on customers and their demands which is possible through improved products and better service to customers. The effective management of customer's data to gain insight of it and retrieving useful information from it is the need of any insurance organisation in today's scenario. We authors through this paper highlighted the importance and significance of data mining techniques and tools in managing customer relationship management (CRM) and CRM analytics in insurance organisation.