Maximum Resolution Dichotomy For Customer
Relations Management
Author(s)
J. K. Ho
Abstract
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.
Keywords: customer relations management, market research, cost-benefit focus,
multi-attribute dichotomy, data mining, visualization.
1 Introduction
In customer relations management (CRM), consumers are often surveyed for
their attitude toward various attributes of products and services for insight into
their perception of price, quality and value [1]. The results of analysis can be
used in market segmentation for more effective design and promotion of future
offerings. In this work, we focus on surveys that ask customers to rate the
importance of the attributes directly. As an additional tool for exploratory data
analysis in market research, a new methodology in data mining is presented to
Keywords
customer relations management, market research, cost-benefit focus,
multi-attribute dichotomy, data mining, visualization.
Related Book
Other papers in this volume
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