Customer survey studies deals with customers, consumers and user
satisfaction from a product or service. In practice, many of the
customer surveys conducted by business and industry are analyzed in
a very simple way, without using models or statistical methods.
Typical reports include descriptive statistics and basic graphical
displays. As demonstrated in this book, integrating such basic
analysis with more advanced tools, provides insights on non-obvious
patterns and important relationships between the survey variables.
This knowledge can significantly affect the conclusions derived
from a survey.
Key features: Provides an integrated, case-studies based
approach to analysing customer survey data.Presents a general
introduction to customer surveys, within an organization's business
cycle.Contains classical techniques with modern and non standard
tools.Focuses on probabilistic techniques from the area of
statistics/data analysis and covers all major recent
developments.Accompanied by a supporting website containing
datasets and R scripts.
Customer survey specialists, quality managers and market
researchers will benefit from this book as well as specialists in
marketing, data mining and business intelligence fields.
General
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