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Modern Analysis of Customer Surveys: with Applications using R

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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.

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Getting Started with HTML5 WebSocket Programming
Getting Started with HTML5 WebSocket Programming

Develop and deploy your first secure and scalable real-time web application

Overview

  • Start real-time communication in your web applications
  • Create a feature-rich WebSocket chat application
  • Learn the step-by-step configuration of the server and clients
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C in Depth
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...

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An introduction to the theory and practice of financial simulation and optimization

In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty.

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