Resource Center
Learn how scientists, engineers and other data explorers are changing the world with JMP
Design of Experiments
-
RiffynResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
-
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
-
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
-
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)
-
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
-
DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
-
DuPontInvesting in an analytics-capable workforce helps DuPont extract maximum value from its state-of-the-art digital factories.
-
Lead strategic quality engineering initiativesQuality experts at GE Aviation, Deloitte and Schweitzer Engineering Laboratories highlight modern quality methods
-
PPG IndustriesThe democratization of statistical best practices compliments domain knowledge to speed innovation.
-
AdociaStatistical approaches boost reproducibility and knowledge continuity in process transfer.
Statistics, Predictive Modeling and Data Mining
-
Karlruher Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
-
25:2 SolutionsGeneticists bring innovations in agricultural technology to water-stressed farming communities.
-
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.
-
What scientists and engineers can (and should) do with text dataText analytics advice from experts at the FDA, P&G and 1440 Consulting
-
University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.
Data Visualization and Exploratory Data Analysis
-
Karlruher Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
-
How data visualization facilitates the analytic workflowAdvancing scientific discovery and innovation with leaders from Calico, Lundbeck and SAS
-
University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.
-
HeliatekAn automated dashboard helps establish statistical process control in a pilot production environment.
-
SeagateJMP and JMP Pro are an integral part of wide-ranging data analysis techniques, statistical process control, reliability analysis, experimental design and modeling.
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.
Dashboard Building
-
DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
-
VishayA customized analytics workflow in JMP reduces unutilized engineering talent and saves money.
-
HeliatekAn automated dashboard helps establish statistical process control in a pilot production environment.
-
North Dakota State UniversityBreeding pipeline database managers use a custom dashboard in JMP to accelerate query and analysis.
-
Make dashboards an essential part of the science and engineering workflowTips on getting from data to decision quickly from NXP, SAS and Practical Reporting
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.
Culture of Analytic Excellence
-
DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
-
Risks and rewards for organizations building a culture of analyticsFind inspiration in analytics success stories from ASM, BASF and Coloplast
-
DuPontInvesting in an analytics-capable workforce helps DuPont extract maximum value from its state-of-the-art digital factories.
-
PPG IndustriesThe democratization of statistical best practices compliments domain knowledge to speed innovation.
-
Developing a shared vision for analytic excellenceAnalytics champions from Dow, Unilever and Riffyn lead with a data-driven mindset