Business Knowledge Series course
Presented by Walter R. Paczkowski, PhD, founder of Data Analytics Corp. and adjunct professor of economics at Rutgers University
Most market research studies and their subsequent reports rely on simple cross-tabulations, or "the tabs," and overworked pie and bar charts. What you need for making powerful marketing decisions is actually buried in your data, not in the tabs. This hands-on course uses a customer satisfaction case study to illustrate the analytical framework for how to use intelligent, logical, and sophisticated analyses and visualizations to extract marketing information.
Learn how to
- use JMP to document a market research analysis project
- organize and manage marketing data with data tables in JMP
- analyze survey data with dynamic graphs and tables
- use JMP to design and estimate choice models
- estimate regression models with JMP software's statistical platforms
- reduce the risk of making incorrect conclusions when comparing items or products.
Who should attend
Corporate market research managers and analysts at all levels; analysts at market research providers who want to go beyond tabs and pie/bar charts; corporate pricing specialists with responsibility for developing pricing models, conducting discrete choice studies, and analyzing survey pricing data
| Classroom:|| 3.0 days |
Before attending this course, you should be familiar with
- the principles of using JMP, primarily maneuvering around the menu and platforms, at the level presented in the JMP Software: Data Exploration course. Knowledge of JMP scripting language (JSL) is not required.
- market research data
- basic statistics up to and including multiple regression analysis and including basic probabilities. You can gain this knowledge by attending the eLearning course Introduction to Statistical Concepts
- simple algebra.
To gain the most from this course, it is recommended that you first attend the JMP Software: ANOVA and Regression
course, or have equivalent experience.
This course addresses JMP software.
Introduction and Motivation
Quantitative Market Research Applications
Analyzing Survey Data
Extending Survey Data: Choice Studies
A Framework for Data Analysis