Maximum resolution dichotomy for customer relations management

被引:1
|
作者
Ho, J. K. [1 ]
机构
[1] Univ Illinois, Dept Informat & Decis Sci, Chicago, IL 60680 USA
关键词
customer relations management; market research; cost-benefit locus; multi-attribute dichotomy; data mining; visualization;
D O I
10.2495/DATA060281
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A topological model for a survey of customer attitude is a simultaneous graphical display of all the dimensions of its relevant data base, which provides a geometrical shape as a descriptive, visual statistics of the customer base at any particular instance of its development. In particular, various dimensions were identified from available data for constructing a multi-attribute dichotomy that can help discern customers' orientation toward costs and benefits. Such a model provides a visual cue for the preference structure of the market. Using a reference subset of prejudged cases, the configuration of the dimensions and the angles among them can be optimized for a topology that maximizes the resolution of such dichotomies. The approach is illustrated in a survey of fans of a major league sports team. It can be a useful tool for data mining and visualization in market research, product/service design, and strategic planning for customer relations management.
引用
收藏
页码:279 / 288
页数:10
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