Resource Center
Learn how scientists, engineers and other data explorers are changing the world with JMP
Design of Experiments
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Getting Started with Design of Experiments: When Many Factors MatterIn this webinar you will learn how this innovative statistical method can help scientists and engineers in process industries optimize processes and save time and money.
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How to Design for Robust Production ProcessesIn this webinar you will learn how to adapt a process to account for changes in material or process input.
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How to Be a Data DatectiveIn this webinar you will see how interactive, no-code analytics enable any scientist or engineer to be a Data Detective, and to be more effective and efficient at every stage of the process.
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Improving Existing ProcessesIn this webinar you will attain a deeper understanding of products and processes when some of the variables are measured at higher frequencies than others.
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Generating Insights from DataIn this webinar you will learn the importance of using your domain knowledge, experience and intuition alongside statistical and machine learning methods.
Quality Engineering, Reliability and Six Sigma
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Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
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Jeju Semiconductor CorporationAn all-in-one statistical workflow is key to optimizing the impact of an R&D-focused business model.
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Thermo Fisher ScientificScientists and engineers working at the forefront of technology transfer integrate sophisticated statistical approaches in JMP.
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DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
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STMicroelectronics ShenzhenA tiered Six Sigma program and standardization around JMP drive large-scale improvements.
Statistics, Predictive Modeling and Data Mining
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The Art of Effective Statistical CollaborationDr. Julia Sharp and Dr. Emily Griffith discuss the art of effective statistical collaboration.
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Session 4: Basic Analysis and Modeling | Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsDuring this session, Jordan Hiller demonstrates simple techniques for building models and the enriching insight gained from those models.
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Revolutionizing Sustainability Through Green ChemistryJoin us for a virtual discussion with Grace Lasker and Rick Morgan on sustainability through green chemistry.
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Machine learning applications for chemical and process industriesIn this article, we explain industrial data science fundamentals and link them with commonly-known examples in process engineering. Then, we review industrial applications using state-of-art machine learning techniques.
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The Significance of Data Science EthicsHear from top researchers in the world of Astrophysics.
Data Visualization and Exploratory Data Analysis
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Beyond Spreadsheets Part 2: Graph Builder: The Two Laws of AnalyticsJoin us as we discuss the fantastic capabilities of Graph Builder: an easy-to-use, world-class data visualization tool.
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The Top 7 Myths That Lead to Really Bad GraphsIn this brief, we review seven of the most common misconceptions when visualizing data. When these myths are dispelled, your charts will be more effective and easier to design.
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Session 5: Sharing Results | Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsDuring this webinar, Jeff Upton discusses how easy it is to share your results with others, JMP user or not.
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Session 4: Basic Analysis and Modeling | Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsDuring this session, Jordan Hiller demonstrates simple techniques for building models and the enriching insight gained from those models.
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Session 3: Data Visualization | Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsDuring this session, Clovis Weisbart will show you the importance of using appropriate visualizations to share your results.
Consumer and Market Research
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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.
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Exploring Customer Perceptions with Maximum Difference ScalingSee how MaxDiff analysis helps answer crucial market research questions.
Dashboard Building
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Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
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Jeju Semiconductor CorporationAn all-in-one statistical workflow is key to optimizing the impact of an R&D-focused business model.
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Thermo Fisher ScientificScientists and engineers working at the forefront of technology transfer integrate sophisticated statistical approaches in JMP.
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DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
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VishayA customized analytics workflow in JMP reduces unutilized engineering talent and saves money.
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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Optimizing Pharmaceutical Production Processes Using Quality by Design MethodsGood news! Did you know that your quality by design goals can be derived in a straightforward way, the results can be easy to verify and that this method allows for further improvement of the processes without the need for re-registration? Find out more with this case study from pharma.
Culture of Analytic Excellence
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Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
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Jeju Semiconductor CorporationAn all-in-one statistical workflow is key to optimizing the impact of an R&D-focused business model.
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Thermo Fisher ScientificScientists and engineers working at the forefront of technology transfer integrate sophisticated statistical approaches in JMP.
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How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI
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DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.