Resource Center
Learn how scientists, engineers and other data explorers are changing the world with JMP
Design of Experiments
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RiffynResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
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Symrise: Mastering complex processes with Design of ExperimentsLearn how Symrise’s approach in Design of Experiments leads to understanding of complex processes and targeted formulation development
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Dr Reddy’s: How to make analytical methods fit-for-purposeLearn about advances in developing scientific analytical methods development and validation in the pharmaceutical industry
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Anatune: Data analytics for analytical method developmentLearn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
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GSK: Optimising your experimentation process using JMPLearn how GSK’s Design of Experiments approach has resulted in a more efficient development process and delivered greater understanding and control of their drug production processes
Quality Engineering, Reliability and Six Sigma
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DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
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Achieving Product ReliabilityIn this chapter from the book Achieving Product Reliability, Bill Meeker, Necip Doganaksoy and Gerald Hahn introduce us to the role of statistics plays in reliability assurance.
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STMicroelectronics ShenzhenA tiered Six Sigma program and standardization around JMP drive large-scale improvements.
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DuPontInvesting in an analytics-capable workforce helps DuPont extract maximum value from its state-of-the-art digital factories.
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Lead strategic quality engineering initiativesQuality experts at GE Aviation, Deloitte and Schweitzer Engineering Laboratories highlight modern quality methods
Statistics, Predictive Modeling and Data Mining
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Karlsruher Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
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Studying intangiblesJMP Sr Research Statistician Developer Laura Castro-Schilo explains why structural equations models (SEM) is a powerful statistical technique every analyst should have in their toolbox.
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25:2 SolutionsGeneticists bring innovations in agricultural technology to water-stressed farming communities.
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Thanks for the MemorySAS co-founder John Sall discusses how JMP 16 eases your burdens by remembering things for you.
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Sentiment Analysis: What Are People Feeling?Mike Anderson discusses how sentiment analysis and term selection in JMP can help you gain insights from your survey text, social media and other forms of text data.
Data Visualization and Exploratory Data Analysis
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Karlsruher Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
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How data visualization facilitates the analytic workflowAdvancing scientific discovery and innovation with leaders from Calico, Lundbeck and SAS
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Thanks for the MemorySAS co-founder John Sall discusses how JMP 16 eases your burdens by remembering things for you.
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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.
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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
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Answer crucial market research questionsUnderstanding consumers with expert analysts from Avon, Maastricht University and SAS
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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.
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Survey Data Analysis: The FundamentalsNew case study demonstrates best practices for survey analysis in JMP (including tips for dealing with missing data).
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Using Bayesian Methods in Business and MarketingTechnology, operations and marketing professor on improving marketing models and analyzing customer data.
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Accessible Analytics for MarketingProfessor from Drexel University on her career helping businesses and students understand marketing and consumer data.
Dashboard Building
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DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
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XaarSix Sigma champions accelerate an analytics transformation.
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VishayA customized analytics workflow in JMP reduces unutilized engineering talent and saves money.
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HeliatekAn automated dashboard helps establish statistical process control in a pilot production environment.
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North Dakota State UniversityBreeding pipeline database managers use a custom dashboard in JMP to accelerate query and analysis.
Life Sciences
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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.
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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.
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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.
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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.
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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.
Culture of Analytic Excellence
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DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
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Achieving Product ReliabilityIn this chapter from the book Achieving Product Reliability, Bill Meeker, Necip Doganaksoy and Gerald Hahn introduce us to the role of statistics plays in reliability assurance.
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STMicroelectronics ShenzhenA tiered Six Sigma program and standardization around JMP drive large-scale improvements.
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Data Science is a Team SportProfessor Alyson Wilson discusses how, as data grows in volume, velocity, variety and veracity, solving complex problems can no longer be done in a silo.
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Risks and rewards for organizations building a culture of analyticsFind inspiration in analytics success stories from ASM, BASF and Coloplast