Statistically Speaking
How do the best organizations innovate? Learn from industry leaders who use modern statistical techniques to gain a competitive advantage.
On-Demand Webinars
Statistically Speaking
Virtual keynote and panel conversations showcasing innovative organizations and their use of cutting-edge statistics.
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Find meaning with purpose-driven analyticsChange agents from many fields use statistics to solve pressing world issues
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Make dashboards an essential part of the science and engineering workflowTips on getting from data to decision quickly from NXP, SAS and Practical Reporting
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Why interactive data visualization is critical to industryMARELLI, Coloplast and Bluepharma make data visualization a central tenet of problem solving and innovation
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Answer crucial market research questionsUnderstanding consumers with expert analysts from Avon, Maastricht University and SAS
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Fast-track innovation and process improvement with designed experimentsExperts from Mahle, Symrise and Allnex share why they use DOE
Analytically Speaking
Thought-provoking interviews with leading experts in analytics.
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Improving Mining Operations With Statistics -
The Judgment Calls We Make in Dashboard DesignNick Desbarats, information dashboard expert, explains why our charts are biased and how to design graphs that are useful to your audience.
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Accessible, Intuitive Statistics for Scientists and EngineersSAS co-founder John Sall invented JMP with the goal of making statistics friendly and informative. Here's how and why he did it.
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Data Analytics Adds Value in the Mining IndustryHans de Roos helps companies use statistics to assess and make predictions about available mineral resources, bringing scientific rigor to the entire process.
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Questioning the Numbers of Everyday LifeSir David Spiegelhalter on improving the public understanding of risk and uncertainty.
Technically Speaking
Case studies that demonstrate how to approach real-world data analysis problems.
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Toward a More Effective Disease Outbreak Alert System: A Symptoms Approach to BiosurveillanceSam Edgemon demonstrates how the use of more granular symptoms-level data combined with innovative statistical techniques has the potential to identify disease outbreaks faster while limiting false positives.
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Faster Insights Through Automated Clustering and Visualization: A Case Study Using MLB DataIn this 30-minute webinar, Sig Mejdal, VP and Assistant General Manager for the Baltimore Orioles, demonstrates how clustering and data visualization techniques can be used to automatically detect hidden patterns in data.
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Design of Experiments With Mixtures: A Case Study in Plastics FormulationsIn this 30-minute webinar, Wendy Tseng will show you how mixture experiments can be used to accelerate formulation development, optimize product characteristics and minimize costs.
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Screening and Controlling Manufacturing Processes for Faster Process ImprovementLearn how to quickly focus your limited time and resources on the actions most likely to lead to meaningful process improvement.
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Design of Experiments in Lean Product DevelopmentLearn how design of experiments (DOE) can serve as the engine to help you quickly generate the knowledge needed to deliver profitable value streams.
Best Practices in Reliability Data Analysis
Statistical techniques for more profitable reliability insights.
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Accelerated Destructive Degradation AnalysisSometimes product failures don’t occur until after a long period of performance degradation. Learn how degradation analysis lets you make predictions about failure times across a variety of use conditions.
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Accelerated Life TestingIn what situations can accelerated life testing be useful? How can data transformations simplify the modeling process? What common pitfalls need to be avoided? Find out in this webinar with Dr. Bill Meeker.
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Bayesian Inference in ReliabilityThe data available to make inferences about reliability is often very limited. Bayesian methods provide a formal way to deal with these situations. Learn how in this webinar with Dr. Bill Meeker.
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Probability Plots in Life DistributionFind out how to select the appropriate distribution-specific plotting scale (i.e., normal, Weibull, lognormal) and apply maximum likelihood estimation to extrapolate failure rates into the future.
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Using Reliability Block Diagrams in System DesignThrough examples based on personal computers and automobile brakes, Dr. Bill Meeker explains how reliability block diagrams can be used to achieve reliability goals for complex, multi-component systems.
Mastering JMP
Practical JMP techniques to address common analytic challenges.
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Getting your Data into JMP and Preparing it for AnalysisSee how to use the flexible import capabilities and powerful data manipulation tools in JMP to shape your data and meet any analysis challenge..
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Analysing and Improving Quality and ReliabilitySee how to use JMP to analyze non-repairable systems, including fitting life distributions, accelerated life testing and degradation analysis.
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Identifying Important Variables in Your DataSee how to save JMP results for JMP users and those who do not use JMP. Learn to, with no scripting required, save repeatable analyses for replay, interactively build a presentation-ready dashboard to run and present reports on a regular basis; create journals that include JMP results and links to data and resources outside JMP; publish interactive results to web servers; and more.
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Machine Learning and Biomarker Sub-Group Analysis for Precision MedicineSee how to use analyze wide data using JMP Genomics and apply modern machine learning and statistical techniques can be applied for prognostic and predictive analytic approaches to biomarker discovery.
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Extracting Practical Information from Quality-by-Design ModelsSee how to use model types and techniques; test, training and validation data; and ways to tune models to get the most useful predictive information. This second part of a two-part series uses a case study to demonstrate the application of principles using JMP and JMP Pro.
Explorers
In-depth explorations of analytic best practices and leading-edge data analysis concepts.
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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.
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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.
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Improving Product Reliability With Quality By DesignLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
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Reproducible Experimentation for Diagnostically Driven Drug ResearchMatt Wongchenko and Russ Wolfinger discuss strategies for leveraging data and statistical tools to achieve better, reproducible science.
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Modern Genomic Methods for Crop Improvement in Breeding ProgramsEric Jackson and Kelci Miclaus discuss new strategies to increase production and drive selection of healthier crops.
Building Better Models
Improve your models with modern predictive modeling techniques.
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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.
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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.
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Decision TreesPredict customer churn with well-built models. Learn how in this step-by-step video on decision trees.
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Advanced Decision TreesAid process improvement with successful root cause analysis. Learn how in this step-by-step guide on random forest techniques.
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Neural NetworksExtensive overview of Neural Networks! Learn how to assist with models that are numerically challenging and time-consuming to fit.