Resource Center
Learn how scientists, engineers and other data explorers are changing the world with JMP
Design of Experiments
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Going Beyond SpreadsheetsIn this video you will see how interactive, no-code analytics enable any scientist or engineer to go beyond spreadsheets and discover patterns in data quickly and easily.
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Biotronik: Accelerate Product and Process Development with Design of Experiments (DOE)In this video, we speak to Christian Guhr, a Process Engineer at BIOTRONIK, about his experience of using data analysis, and specifically Design of Experiments, to accelerate product development.
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Design of Experiments for BioTech/Pharma ManufacturingIn this on-demand webinar, Jordan Hiller explains what Design of Experiments (DOE) is, and how to use it to improve processes and products.
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Making Discoveries Easier with Design of ExperimentsJoin us for keynote talks and a panel discussion where we’ll simplify DOE.
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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.
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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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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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.
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How to Model Complex, High-Dimensional Chemical SpectraJoin us as JMP Senior Global Enablement Engineer Bill Worley shows us a visual approach to chemometrics.
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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.
Data Visualization and Exploratory Data Analysis
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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.
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Session 2: Data Preparation | Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsDuring this session, Wendy Tseng will identify ways to restructure your data table to get it ready for analysis and show you other time saving tips and tricks!
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Session 1: Accessing Data | Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsDuring this session, Alisa Hunt-Lowery demonstrates how to easily access data from Excel and ways to get data into JMP to move your data from insight to discovery more efficiently.
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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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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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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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
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End of EverythingIn this chapter from her book End of Everything, Astrophysicist Katie Mack discusses her favorite topic – the end of the universe and our improving efforts to gather data about it (Astrophysically Speaking).