Modern analysis of customer surveys : with applications using R

Resource Information

The work Modern analysis of customer surveys : with applications using R represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.

Label

Modern analysis of customer surveys : with applications using R

Title remainder

with applications using R

Statement of responsibility

edited by Ron S. Kenett, Silvia Salini

Creator

• Kenett, Ron

Contributor

• Salini, Silvia

Editor

• Kenett, Ron
• Salini, Silvia

Subject

• Consumer satisfaction -- Research | Statistical methods
• Consumers -- Research | Data processing
• Consumers -- Research | Statistical methods
• Sampling (Statistics) -- Evaluation
• Surveys -- Data processing
• Surveys -- Statistical methods
• Consumer satisfaction -- Evaluation

Language

eng

Summary

"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."--

Member of

• Statistics in practice

Assigning source

Provided by Publisher

Cataloging source

DLC

Index

index present

Literary form

non fiction

Nature of contents

bibliography

Series statement

Statistics in practice