JMP^®

• Interview PharmaronAn interview with Amy Hawksworth, Senior Manager of Downstream Process Sciences
• 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.
• 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.
• User 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.
• Customer Story RiffynResearchers 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.
• Article Thanks for the MemorySAS co-founder John Sall discusses how JMP 16 eases your burdens by remembering things for you.
• 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 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 Parker LORDWhen early benchmarking proved that JMP could have potentially dramatic time saving benefits, employees led the way in changing the culture.
• Customer Story SynthaceBiologists achieve all the benefits of sophisticated statistical methods without time-intensive programming.
• 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 F-star TherapeuticsStatistical approaches to experimentation open the door to the exploration of novel biology.
• Customer Story LonzaA customized design of experiments approach optimizes yield in bioreactors.
• Customer Story NVIDIAManagement helps up-skill the workforce by integrating a free statistical analysis online learning resource.
• Customer Story North Dakota State UniversityBreeding pipeline database managers use a custom dashboard in JMP to accelerate query and analysis.
• Customer Story KM BiologicsAn innovative in-house statistical literacy program goes beyond theory to teach practical data skills to scientists and engineers.
• User Story PhyzzA combination of sensory analysis and design of experiments helps optimize taste, shelf life and nutritional value.
• Explorers Statistical Discovery in Quality Engineering ToulouseJoin us to learn important new strategies for using data analytics to accelerate process innovation.
• Watch Now JSL for Building Interactive Dialogs for Automating WorkflowsSee how to use JMP scripts (JSL) for repetitive data access and reporting. This demo uses manufacturing data and control charts to automate repetitive process monitoring and reporting.
• Watch Now Collaborating Using JMP® LiveJMP and JMP Pro enhance and add statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers.
• JMP 15 JMP 15 is hereJohn Sall, chief architect of JMP, unveils JMP 15 at Discovery Summit Tucson 2019.
• Explorers Best practices for applying Design of Experiments with Quality by Design in the Pharmaceutical IndustryIn this seminar, you will learn how DOE can complement a QbD approach in the pharmaceutical industry for optimal benefit.
• Explorers Accelerating Process Innovation with Modern Data AnalyticsJoin us to learn important new strategies for using data analytics to accelerate process innovation.
• Explorers Beyond Dashboards: Designing Dashboards That Users Actually LikeUncover the real reasons, far deeper than the visual design, why so many dashboards fail to satisfy users and organizations.
• Explorers Using Experimental Design to Increase Predictability, Optimize Processes and Lower CostsLearn best practices for accelerating learning cycles and reducing costs while tackling complicated challenges with custom DOE.
• Book Chapter Predictive Analytics Via Text MiningDownload a complimentary chapter about text mining for predictive analytics.
• Book Chapter Optimal Design of Experiments: A Case Study ApproachWhat is a blocked experiment? When is one used and how is it constructed? Find out in this case study.
• Book Chapter Statistics with JMP: Hypothesis Tests, ANOVA and RegressionAnother great instruction guide by Professors Peter Goos and David Meintrup! This chapter specifically covers discrete and continuous random variables, with a focus on bivariate probability distributions and densities.
• Explorers Marketing in a Digital Age: The Democratisation of AnalyticsThis video provides an overview of the challenges and opportunities that digitalisation provides, and how some real-world companies have responded to these to build competencies in what, for marketeers, may be new and unfamiliar bodies of knowledge.
• Explorers Predictive Modelling - From Naive Bayes to Deep LearningThis video focuses on making predictions using classification and deep learning techniques.
• Technically Speaking Analytical Method DevelopmentDiscover a new approach that will enable to you to expend as few resources as possible while maximizing the information you get from an assay.
• Explorers Using Design of Experiments To Increase Predictability, Optimise Processes and Minimise Costs Learn how a data-driven design of experiments (DOE) approach can accelerate learning while reducing costs in research, development and manufacturing processes.
• Explorers Delivering Value With a New Generation of Reliability Analysis and Survival Estimation MethodsThought leaders Bill Meeker and Chris Gotwalt lead an insightful technical demonstration highlighting trends in the statistical assessment of product reliability that can help you reach maximum productivity in your analyses.