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Market Data Analysis Using JMP

Book Description

With the powerful interactive and visual functionality of JMP, you can dynamically analyze market data to transform it into actionable and useful information with clear, concise, and insightful reports and displays. Market Data Analysis Using JMP is a unique example-driven book because it has a specific application focus: market data analysis. A working knowledge of JMP will help you turn your market data into vital knowledge that will help you succeed in a highly competitive, fast-moving, and dynamic business world.

This book can be used as a stand-alone resource for working professionals, or as a supplement to a business school course in market data research. Anyone who works with market data will benefit from reading and studying this book, then using JMP to apply the dynamic analytical concepts to their market data.

After reading this book, you will be able to quickly and effortlessly use JMP to:

  • prepare market data for analysis
  • use and interpret sophisticated statistical methods
  • build choice models
  • estimate regression models to turn data into useful and actionable information
Market Data Analysis Using JMP will teach you how to use dynamic graphics to illustrate your market data analysis and explore the vast possibilities that your data can offer!

Table of Contents

  1. Title Page
  2. Copyright
  3. About This Book
  4. About the Author
  5. Acknowledgments
  6. Chapter 1: The State of Market Research
    1. Introduction
    2. Market Research Role in Business
    3. Surveys for Data Collection
    4. Tabs as an Analysis Tool
    5. Pie and Bar Charts for Data Analysis
    6. Spreadsheets As Data Managers and Analysis Tools
    7. You Can Do Better
    8. Points to Remember
    9. Exercises
    10. Works Cited
    11. End Notes
  7. Chapter 2: Using JMP for Market Research
    1. Introduction
    2. Project Management Steps
    3. Documentation and Reproducibility
    4. Managing Data
    5. Statistical Capabilities
    6. Dynamic Graphs and Tables
    7. Scripting Capabilities
    8. Integrating with SAS and R
    9. Points to Remember
    10. Exercises
    11. Works Cited
    12. End Notes
  8. Chapter 3: A Very Short Introduction to JMP
    1. Introduction
    2. JMP Workspace
    3. Data Table
    4. JMP Reports
    5. Points to Remember
    6. Exercises
    7. Works Cited
    8. End Notes
  9. Chapter 4: Preparing For Data Analysis
    1. Introduction
    2. Conducting Market Research
    3. Quantitative Research Framework
    4. Points to Remember
    5. Exercises
    6. Works Cited
    7. End Notes
  10. Chapter 5: Survey Data Analysis: The Fundamentals
    1. Introduction
    2. Case Study
    3. Survey Questions and Analysis
    4. Survey Data
    5. Statistical Tests
    6. Finding Relationships
    7. Analyzing Text Data
    8. Points to Remember
    9. Exercises
    10. Works Cited
    11. End Notes
  11. Chapter 6: Extending Survey Data Analysis: Choice Studies
    1. Introduction
    2. A First Word on Terminology
    3. Conjoint Analysis
    4. Discrete Choice Analysis
    5. MaxDiff Analysis
    6. Points to Remember
    7. Exercises
    8. Works Cited
    9. End Notes
  12. Chapter 7: Extending Survey Data Analysis: Market Segmentation
    1. Introduction
    2. The Role and Importance of Segmentation
    3. Case Study
    4. Segmentation Approaches
    5. Analyzing and Profiling Segments
    6. Points to Remember
    7. Exercises
    8. Works Cited
    9. End Notes
  13. Chapter 8: Modeling Sales Data
    1. Introduction
    2. Case Study
    3. Model Specification
    4. Model Estimation
    5. Case Study Estimation and Analysis
    6. Points to Remember
    7. Exercises
    8. Works Cited
    9. End Notes
  14. Appendix 1: Chapter 5: JSL Code to Submit to R
  15. Index
  16. Additional Resources