Market Data Analysis Using JMP

Walter R. Paczkowski

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!

Sujets

• COMPUTERS
• Customer intelligence
• Data mart
• Market research
• General officer
• General

Informations

• Publié par: SAS Institute
• Date de parution: 05 février 2018
• Nombre de lectures: 1
• EAN13: 9781629604855
• Langue: English
• Poids de l'ouvrage: 7 Mo

Extrait

The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2016 . Market Data Analysis Using JMP® Cary , NC: SAS Institute Inc.
Market Data Analysis Using JMP®
Copyright © 2016, SAS Institute Inc., Cary, NC, USA
ISBN 978-1-62960-408-4 (Hard copy)
ISBN 978-1-62960-485-5 (Epub)
ISBN 978-1-62960-486-2 (Mobi)
ISBN 978-1-62960-487-9 (PDF)
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February 2018

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Last updated: January 4, 2018
About This Book

Purpose
Businesses are drowning in data. Market data, whether from surveys or a data warehouse or data mart, must be analyzed dynamically to reveal patterns and relationships. Simple static tables and pie and bar charts don’t suffice. To convert market data into actionable, data-driven decisions, you need software that offers three key features: powerful data handling and scripting tools; and dynamic graphing and tabulation capabilities to drill down and link data; market-oriented statistical methods, such as choice models.
JMP ® gives you access to the right data-handling tools, a rich array of analytical methods, and dynamic views of your data so that you can drill-down and link the data across several displays for comprehensive views. Regardless of your level of experience, it offers tools and analysis reports that are accessible to novices and sophisticates alike.
The goal of this book is to introduce JMP to the market research community and to explain how to use JMP to implement some statistical techniques that can increase the power and sophistication of the data analysis process.

Is This Book for You?
This book is for data analysts, who, like me, are charged with analyzing market data. These economists, statisticians, and market researchers must estimate models, look for relationships, and produce insight from data to help business leaders make data-driven decisions.
It’s also for students and professors in quantitative methods courses that deal with market data. Students who focus on quantitative methods can learn about the high-powered statistical methods in JMP and can discover how the graphing and tabulation capabilities in JMP can help them easily and dynamically gain insight into their data.
This book is slightly technical at times, but not greatly so. An undergraduate background in statistics (through regression analysis) and perhaps an econometrics course are helpful. The focus is on showing how to use JMP with market data. Therefore, it's assumed that basic statistics, probability theory, and regression analysis are understood.
Scope of This Book
Here’s the general outline of the book:


Chapters 1–3 set the stage. They cover the state of market research, describe how JMP can help, and introduce JMP, for those unfamiliar with it.

Chapters 4 and 5 describe the JMP features that are useful for preparing data for analysis. They discuss analyzing survey data with JMP.

Chapters 6 and 7 apply JMP to specific business and marketing problems. They cover using choice models to study consumer behavior and using survey data to segment a market.

Chapter 8 shifts the focus from survey data to sales data from a data warehouse or data mart. Emphasis is placed on data visualization using the JMP Graph Builder .

Exercises are included at the end of each chapter. Solutions are available at the author page at http://support.sas.com/paczkowski . The exercises are divided into three groups:


Research concepts covering the technicalities introduced in the chapter.

JMP concepts covering the main tools of JMP that can be used for analyzing market data.

JMP problems that use the research concepts and JMP concepts to address data problems.

Some of the examples in this book come from my work with market data related to consumer products, but the material and methods described can be used with other types of market data. With one exception, the data used in this book is simulated. In Chapter 3, I use the Big Class data set that comes with JMP.
Throughout, JMP commands are capitalized and italicized. Menu commands, also capitalized and italicized, are run together and separated by a forward slash. For example, File/Preferences refers to the File menu on the main menu bar and the Preferences submenu. Data table column names are also italicized.
In this book, as in any human endeavor, you might find a mistake. Please let me know about anything I missed by contacting me at [e-mail] .

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About the Author


Walter R. Paczkowski is a market research consultant focused on helping companies turn their market data into actionable market information in a wide range of industries, such as telecommunications, pharmaceuticals, jewelry, food and beverage, and automotive. With nearly 40 years of extensive quantitative experience as an analyst in AT&T’s Analytical Support Center, a member of the technical staff at AT&T Bell Labs, head of pricing research at AT&T’s Computer Systems Division, and founder of his consulting company Data Analytics Corporation, he brings a wealth of knowledge to share about data analysis. He is currently an adjunct professor in the Department of Economics at Rutgers University, and is also an adjunct professor in the Department of Mathematics and Statistics at The College of New Jersey. He received his PhD in Economics from Texas A&M University.
Learn more about this author by visiting his author page at http://support.sas.com/paczkowski . There you can download free book excerpts, access example code and data, read the latest reviews, get updates, and more.
Acknowledgments
Many people have contributed to this book either through their direct input or through their encouragement. For the former, I received invaluable help from members of the JMP development team and JMP Press. Among those deserving special mention are Melinda Thielbar who provided technical assistance, Brenna Leath who guided me through the process and was very patient with me, Robert Harris who designed the cover, and Cindy Puryear, Monica McClain, Robin Langford, and Stacey Hamilton who all helped with the editing. My daughters, Kristin and Melissa, provided encouragement and an extra set of eyes when I need proofreading. This got me through with minimal headaches. And then there’s my wonderful wife and life partner, Gail. What can I say about how she read many pages of the manuscript, provided a large number of helpful suggestions, and, most of all, made sure I kept on track? She definitely deserves a very special thanks.
Chapter 1: The State of Market Research


Introduction
Market Research Role in Business
Surveys for Data Collection