A novel decision rules approach for customer relationship management of the airline market
Expert Systems with Applications: An International Journal
Customer-Churn Research Based on Customer Segmentation
ECBI '09 Proceedings of the 2009 International Conference on Electronic Commerce and Business Intelligence
Using Data Mining to Accelerate Cross-Selling
ISBIM '08 Proceedings of the 2008 International Seminar on Business and Information Management - Volume 01
Data Mining Technology and Its Application in CRM of Commercial Banks
DBTA '09 Proceedings of the 2009 First International Workshop on Database Technology and Applications
Segmentation Study on Enterprise Customers Based on Data Mining Technology
DBTA '09 Proceedings of the 2009 First International Workshop on Database Technology and Applications
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
An Analysis of the Application of Data Mining in Airline Company CRM
FSKD '09 Proceedings of the 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 07
Application Research of Data Mining in Travel Agency's Customer Relationship Management
IWCSE '09 Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01
The Application of Data Mining for Direct Marketing
ICETET '09 Proceedings of the 2009 Second International Conference on Emerging Trends in Engineering & Technology
A Two Phase Clustering Method for Intelligent Customer Segmentation
ISMS '10 Proceedings of the 2010 International Conference on Intelligent Systems, Modelling and Simulation
Expert Systems with Applications: An International Journal
Fuzzy data mining: a literature survey and classification framework
International Journal of Networking and Virtual Organisations
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The insurance organisations have strong customer base with vast amount of data which is very difficult to manage in terms of finding unknown and hidden patterns from it. The growing demand of information which will provide assistance to decision makers in building a strong customer base and good image in customers mind is guiding a path towards extensive usage of analytical tools for revealing hidden information|s. The data mining (DM) has emerged as such tool that provide hidden information|s and patterns from customer data, and thus helps in organisation|s achieve an information|s which will provide customer satisfaction and increase customer base. The stiff competitions in insurance sector also demand that organisations should have cutting edge over their competitors. These requires the in depth analysis of the customer data using DM tools. We authors through this paper highlighted the importance and significance of DM techniques and tools in managing customer relationship management (CRM) by finding the hidden and unknown information from the real case data of insurance company. We had analysed through our research customer|s satisfaction level, churners and non-churners and much other information|s which will increase the profitability of the organisation and will provide customer satisfaction.