Resource Center
Uncover the latest trends and industry best practices in your field
Chemical
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Making Better Use of Spectral and Chromatographical Data in Product and Process DevelopmentLearn a simple and efficient way of extracting the signals from the noise for a deeper, better understanding of your processes and products.
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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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Getting Started with Design of Experiments: When Many Factors MatterIn this webinars you will learn how this innovative statistical methods can help scientists and engineers in process industries optimize processes and save time and money.
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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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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.
Consumer Products
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DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
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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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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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Developing a shared vision for analytic excellenceAnalytics champions from Dow, Unilever and Riffyn lead with a data-driven mindset
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Just add water....Tim Gardner shows how applying designed experiments can turn something as simple as "adding a little water" into an operational gain worth hundreds of thousands of dollars per run.
Pharmaceutical
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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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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
Semiconductor
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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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STMicroelectronics ShenzhenA tiered Six Sigma program and standardization around JMP drive large-scale improvements.
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VishayA customized analytics workflow in JMP reduces unutilized engineering talent and saves money.
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SeagateJMP and JMP Pro are an integral part of wide-ranging data analysis techniques, statistical process control, reliability analysis, experimental design and modeling.
Biotech
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Target MalariaCapacity-building efforts accelerate research outputs in novel vector control approaches towards disease transmission.
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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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RiffynResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
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AdociaStatistical approaches boost reproducibility and knowledge continuity in process transfer.
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SynthaceBiologists achieve all the benefits of sophisticated statistical methods without time-intensive programming.
Clean Energy and Conservation
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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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Target MalariaCapacity-building efforts accelerate research outputs in novel vector control approaches towards disease transmission.
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Karlsruhe Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
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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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University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.
Government
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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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Intentional visualizations help untangle complex dataFrom policy to sports to environmental investigations — data visualization leads to insights
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Mission-critical advanced statistics for the defense communityLearn about machine learning and artificial intelligence, and their synergies with structured experimentation
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Leveraging Free Text Data to Build Better ModelsLearn how text data can be combined with non-text data to build better models and make better decisions.
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Stay relevant and competitive with modern quality engineeringLos Alamos National Lab, Siemens Healthineers and Wolfspeed embrace automation and the rise of the digital economy
Industrial Manufacturing
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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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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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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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Stan Higgins, OBE: Capturing value from your data to accelerate innovationLearn how to increase speed to market with cutting edge data science methods for R&D and manufacturing
Medical Devices
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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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MedtronicAn R&D team develops a new, easily replicated methodology for evaluating medical device performance.
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Roche SwitzerlandRoche provides biosensors that allow health care professionals to get bedside readings of the quality of a patient’s blood.
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Siemens HealthineersQuality engineers optimize manufacturing, testing and performance of an innovative blood-analysis system.
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Tsukuba Medical CenterTsukuba Medical Center Hospital established a model for predicting the economic life of portable medical devices (infusion pumps) using the statistical analysis tool "JMP".
Medical Statistics
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Tsukuba Medical CenterTsukuba Medical Center Hospital established a model for predicting the economic life of portable medical devices (infusion pumps) using the statistical analysis tool "JMP".
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Beijing Children's HospitalData visualization software deepens collaborations between clinicians and statisticians.
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Colorado Department of Public Health and EnvironmentAn epidemiologist uses data analysis to help patients living with HIV/AIDS reenter the care continuum.
Academic
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Target MalariaCapacity-building efforts accelerate research outputs in novel vector control approaches towards disease transmission.
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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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Karlsruhe Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
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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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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.