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.
-
Risks and rewards for organizations building a culture of analyticsFind inspiration in analytics success stories from ASM, BASF and Coloplast
-
Lead strategic quality engineering initiativesQuality experts at GE Aviation, Deloitte and Schweitzer Engineering Laboratories highlight modern quality methods
-
The essentials of machine learning and artificial intelligenceCorning, Solvay and Novozymes experts make the most of advanced analytics
-
Developing a shared vision for analytic excellenceAnalytics champions from Dow, Unilever and Riffyn lead with a data-driven mindset
-
Design of experiments: An essential tool for discovery and innovationSyngenta, Alvotech and FUCHS count on DOE to improve their science and engineering processes
Analytically Speaking
Thought-provoking interviews with leading experts in analytics.
-
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.
-
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.
-
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.
-
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.
-
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.
-
Build - and Choose - Better Models Faster: Data Scientists in a BoxKemal Oflus demonstrates how to utilize machine learning methods without having to write and tune algorithms by leveraging your subject matter expertise.
-
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.
-
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.
-
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.
Best Practices in Reliability Data Analysis
Statistical techniques for more profitable reliability insights.
-
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.
-
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.
-
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.
-
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.
-
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.
-
New in JMP® 16 and JMP® Pro 16JMP 16 and JMP Pro 16 enhance and add statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers.
-
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..
-
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.
-
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.
-
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.
Explorers
In-depth explorations of analytic best practices and leading-edge data analysis concepts.
-
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.
-
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.
-
Streamlining Workflows to Optimise ProcessesLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
-
Improving Product Reliability With Quality By DesignLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
-
Improving Manufacturing Performance with Cutting-Edge Predictive AnalyticsIn this video, you’ll learn how to identify new opportunities for improving manufacturing performance – and develop data-driven solutions to achieve significant and lasting improvement.
Building Better Models
Improve your models with modern predictive modeling techniques.
-
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.
-
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.
-
Decision TreesPredict customer churn with well-built models. Learn how in this step-by-step video on decision trees.
-
Advanced Decision TreesAid process improvement with successful root cause analysis. Learn how in this step-by-step guide on random forest techniques.
-
Neural NetworksExtensive overview of Neural Networks! Learn how to assist with models that are numerically challenging and time-consuming to fit.