DocumentCode
3583932
Title
Online Insurance Consumer Lifetime Value Evaluation: A Mathematics and Data Mining Approach
Author
Li, Yuanya ; Cook, Gail ; Wrefor, O.
Author_Institution
River & Harbor Dept., Nanjing Hydraulic Res. Inst., Nanjing, China
Volume
1
fYear
2009
Firstpage
401
Lastpage
407
Abstract
This paper focus on data mining application in customer value analysis, business potential and service improve direction. First a formula for online insurance customer lifetime value is derived. Some parameters and function for the formula are given out by data mining. Finally the business revenue potential is predicted for recent ten years and comparison is taken out. A sensitivity analysis shows the business revenue increasing direction. The real business revenue data match the prediction data well.
Keywords
customer satisfaction; data mining; insurance data processing; sensitivity analysis; business revenue potential; customer value analysis; data mining; online insurance consumer lifetime value evaluation; sensitivity analysis; Business; Companies; Data mining; Insurance; Laboratories; Mathematics; Rivers; Sediments; Sensitivity analysis; Software engineering; Data mining; customer lifetime evaluation; decision tree; online insurance; sensitivity analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, 2009. WCSE '09. WRI World Congress on
Print_ISBN
978-0-7695-3570-8
Type
conf
DOI
10.1109/WCSE.2009.383
Filename
5319139
Link To Document