Resource Center
Learn how scientists, engineers and other data explorers are changing the world with JMP
Statistics, Predictive Modeling and Data Mining
- How to Get the Most Out of Machine LearningHear from leaders in the machine learning realm from Brewer Science, Abt Associates and SAS
- Experiment Even More Efficiently Using JMP Definitive Screening DesignsJeff Upton discusses how to experiment even more efficiently using JMP Definitive Screening Designs
Data Visualization and Exploratory Data Analysis
- How data visualization facilitates the analytic workflowAdvancing scientific discovery and innovation with leaders from Calico, Lundbeck and SAS
- Thanks for the MemorySAS co-founder John Sall discusses how JMP 16 eases your burdens by remembering things for you.
- Empowering P&G employees to do text analysisScott Reese, from the Data & Modeling Science team at Procter & Gamble, explains how he uses text analytics to answer some of the company's most pressing data questions.
- Moving from Minitab to JMP: A Transition Guide, Version 2This guide explains how Minitab and JMP differ in the handling of descriptive statistics and visualizations. It is meant to ease the user’s transition from Minitab v19 to JMP 16 and JMP Pro 16. Focus is on the user interface, how tools are accessed, how analyses are performed, and the general workflow of the packages.
Consumer and Market Research
- Answer crucial market research questionsUnderstanding consumers with expert analysts from Avon, Maastricht University and SAS
- Conjoint AnalysisThis article explains how a local grocer seeks to increase beer revenue by better understanding customer preference, pricing strategy and packaging with conjoint analysis.
- Survey Data Analysis: The FundamentalsNew case study demonstrates best practices for survey analysis in JMP (including tips for dealing with missing data).
- Using Bayesian Methods in Business and MarketingTechnology, operations and marketing professor on improving marketing models and analyzing customer data.
- Accessible Analytics for MarketingProfessor from Drexel University on her career helping businesses and students understand marketing and consumer data.
Life Sciences
- Modernization Updates in JMP ClinicalChris Kirchberg demonstrates how you can use the new reports for safety signal identification, reporting to regulatory agencies, and/or sharing with colleagues, quickly, easily, and without programming.
- Cautionary Tales in Designed ExperimentsThe beauty of DOE is about learning—from mistakes, from trying new things, and from working with others.. In this free e-book legendary author Dr. David Salsburg looks at the history of DOE and shares what to do (and what not to do) to successfully execute designed experiments.
- Dark DataIn Dark Data, Dr. Hand explores the many ways we can be blind to missing or unseen data and how, in our rush to be a data-driven society, we might be missing things that matter, leading to dangerous decisions that can sometimes have disastrous consequences.
- Art of StatisticsIn this introduction from his book, Art of Statistics, Sir David Spiegelhalter outlines why it's critically important to use statistical science to answer the kind of questions that arise when we want to better understand the world.
- Working With and Interpreting COVID-19 DataIn this video, you will learn how to prepare and clean data and build interactive maps using COVID-19 data from Johns Hopkins University.