Resource Center
Learn how scientists, engineers and other data explorers are changing the world with JMP
Design of Experiments
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Choosing the Right Design - with an Assist from JMP's Design ExplorerDeciding what data to collect for an experiment is a critical decision that has substantial consequences. In this paper, you'll learn how JMP's Design Explorer gives data scientists an easy way to construct and contrast multiple experimental designs that can be compared and evaluated.
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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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Applications of Modern Design of Experiments (DoE)In this fun, engaging and free three-part online training program on DoE, delivered by JMP, you will be introduced to DoE and discover how it enables scientists and engineers to develop better solutions faster.
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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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MarelliThe consolidation of big data management, analysis, data controls, prevention and prediction into a single workflow accelerates innovation.
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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.
Statistics, Predictive Modeling and Data Mining
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How to ensure your investment in Machine Learning yields beneficial outcomesHear Jonathan Williams, PhD, is the Data Analysis Manager at IQE. You will find guidance and stories about how to get started with machine learning techniques or effectively integrate them within existing programs that seek to make the most of your data and drive more value for your organization.
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Unit TestsOver the past 20 years, software developers have become increasingly interested in automated unit testing and the phrase unit testing framework has come to refer to the mechanism used to facilitate automated unit testing. Learn how JMP uses unit testing in its software development.
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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.
Data Visualization and Exploratory Data Analysis
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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.
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Glean and Visualize Deeper Insight from Your DataHear best practices from Procter & Gamble and Michelin! Gaining skills around a multistage process of turning data into useful insights is key. You will see how interactive, no-code analytics enable any scientist or engineer to turn data into actionable insights with a combination of data preparation.
Consumer and Market Research
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PhyzzA combination of sensory analysis and design of experiments helps optimize taste, shelf life and nutritional value.
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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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Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
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MarelliThe consolidation of big data management, analysis, data controls, prevention and prediction into a single workflow accelerates innovation.
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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.
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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JMP for Mixed ModelsJMP for Mixed Models walks through, in example-driven fashion, the core concepts of mixed models and how best to apply them in practice.
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Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
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Six Footprints for Leading Analytical ChangeIn this white paper, Tom Lange, retired Director of R&D at Procter & Gamble, passes on ideas, trends and best practices he's learned during a 40-plus year career building and leading analytical teams.
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MarelliThe consolidation of big data management, analysis, data controls, prevention and prediction into a single workflow accelerates innovation.
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An interview with Marianne Toft of NovozymesMarianne Toft on Discovery Summit, continuous learning and how statistics should be seen as a tool to enhance scientific expertise