JMP^®

• On-Demand Webinar Using Design of Experiments (DOE) to Optimize and InnovateThis web seminar dives into the contrast between testing variables “one at a time” vs. “testing several” through Design of Experiments (DOE).
• On-Demand Webinar Principles of Graphing DataIn this webinar, we’ll discuss the principles of how to create good graphs and what makes one graph type better than another for conveying information.
• On-Demand Webinar Gaining Insight into Diverse Chemical Challenges with Designed ExperimentsDuring the session, learn how DOE successfully overcame several diverse chemical industry situations that resulted in time and resource savings, scientific breakthroughs, and financial benefits.
• White Paper On 100 Years of the Shewhart Control ChartIn this paper, William H. Woodall commemorates the 100th anniversary of the control chart with some ideas on how to make fuller use of them. Readers will also receive practical advice on how one might achieve the best results implementing statistical process monitoring.
• On-Demand Webinar Understanding Variation: Assessing Process BehaviorIn this webinar, you’ll learn how to distinguish common cause and special cause variation, assess the health of your process and use the JMP's Control Chart Builder prevent unnecessary process shifts and reduce defects.
• Interview PharmaronAn interview with Amy Hawksworth, Senior Manager of Downstream Process Sciences
• Interview Texas InstrumentsAn interview with Texas Instruments industrial engineer Michelle Beauchemin
• Tech Brief How to Navigate the Top Seven Pitfalls of Data PrepWhile data cleanup has its obstacles, it is possible to reduce, or even eliminate, the impact of common challenges when preparing data for analysis.
• White Paper Data Visualization and Model BuildingIn this paper, Richard De Veaux, Williams College, explains how visualization and data exploration can be used to draw conclusions about sports performance as we age.
• On-Demand Webinar Accelerating Your Analytic WorkflowThis three-session webinar series provides practical tips, tricks and best practices to effectively prepare and analyze your data, and then share your data discoveries.
• White Paper The Why and How of Asking Good QuestionsChristine Anderson-Cook discusses how and why asking good questions helps shape curiosity and makes you a better collaborator.
• Customer Story HP HoodMoving toward widespread statistical enablement, Hood accelerated R&D and deepened product knowledge.
• Customer Story Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
• White Paper 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.
• Book Chapter 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.
• White Paper 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.
• Customer Story Target MalariaCapacity-building efforts accelerate research outputs in novel vector control approaches towards disease transmission.
• Customer Story MarelliThe consolidation of big data management, analysis, data controls, prevention and prediction into a single workflow accelerates innovation.
• Customer Story Jeju Semiconductor CorporationAn all-in-one statistical workflow is key to optimizing the impact of an R&D-focused business model.
• Customer Story Thermo Fisher ScientificScientists and engineers working at the forefront of technology transfer integrate sophisticated statistical approaches in JMP.
• Success Story Imperial College LondonResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
• Customer Story Karlsruhe Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
• Customer Story DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
• Customer Story STMicroelectronics ShenzhenA tiered Six Sigma program and standardization around JMP drive large-scale improvements.
• Customer Story DuPontInvesting in an analytics-capable workforce helps DuPont extract maximum value from its state-of-the-art digital factories.
• Customer Story University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.
• Customer Story PPG IndustriesThe democratization of statistical best practices compliments domain knowledge to speed innovation.
• Customer Story AdociaStatistical approaches boost reproducibility and knowledge continuity in process transfer.
• Customer Story XaarSix Sigma champions accelerate an analytics transformation.
• Customer Story VishayA customized analytics workflow in JMP reduces unutilized engineering talent and saves money.
• Customer Story HeliatekAn automated dashboard helps establish statistical process control in a pilot production environment.
• Customer Story LonzaA customized design of experiments approach optimizes yield in bioreactors.
• Customer Story North Dakota State UniversityBreeding pipeline database managers use a custom dashboard in JMP to accelerate query and analysis.
• Customer Story F-star TherapeuticsStatistical approaches to experimentation open the door to the exploration of novel biology.
• Customer Story Parker LORDWhen early benchmarking proved that JMP could have potentially dramatic time saving benefits, employees led the way in changing the culture.
• Customer Story SeagateJMP and JMP Pro are an integral part of wide-ranging data analysis techniques, statistical process control, reliability analysis, experimental design and modeling.
• Customer Story NVIDIAManagement helps up-skill the workforce by integrating a free statistical analysis online learning resource.
• Customer Story PhyzzA combination of sensory analysis and design of experiments helps optimize taste, shelf life and nutritional value.
• Customer Story KM BiologicsAn innovative in-house statistical literacy program goes beyond theory to teach practical data skills to scientists and engineers.
• Customer Story WildTrackConservationists monitor wildlife by tracking footprints.
• On-Demand Webinar DOE Case Studies with Professor Peter GoosProfessor Peter Goos presents explains why, when and how to use response surface design, screening design, definitive screening design and split plot design.
• Building Better Models Neural NetworksExtensive overview of Neural Networks! Learn how to assist with models that are numerically challenging and time-consuming to fit.
• Building Better Models Decision TreesPredict customer churn with well-built models. Learn how in this step-by-step video on decision trees.
• Building Better Models Stepwise RegressionWhen should stepwise regression be used to build a good performing model? This webinar segment has the answer and reviews when to stop adding terms to your model.
• Building Better Models Introduction to Modeling and Model ComparisonHow can you avoid overfitting your models? This video segment will guide you on how to use cross validation, ROC curves, response models and more.
• Customer Story OLEDWorksWell-designed experiments deliver results for an OLED pioneer.
• Customer Story Sungkyunkwan UniversityResearchers use JMP to craft tailor-made machine learning applications for industry client, POSCO.
• Customer Story Septeni HoldingsA data-driven human resource strategy is the key to increasing employee retention and performance.