Statistically Speaking
Key Elements of a Data Driven Culture
Learn how organizations like GE Gas Power make a business case for analytics projects and gather the right tools for success.
On-Demand Webinars
Design of Experiments
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The power of structured experimentation in science and engineeringMicrosoft, Riffyn and Corning use design of experiments to solve problems, create new products
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Achieve rapid innovation with design of experimentsHow companies like Johnson Matthey and F-star Therapeutics take advantage of structured experimentation
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Leading companies innovate with statistically designed experimentsHear from Coherent, Lundbeck and Applied Materials
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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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QbD: Using DOE to Increase Knowledge of the Process and Design SpaceDiscover when to apply design of experiments and how to identify different strategies to suit a variety of experimental needs.
Quality Engineering, Reliability and Six Sigma
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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
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Gaining Innovation Momentum Through Data AnalyticsIndustry 4.0, big data, data mining and IoT. As the digitization of the manufacturing sector gains momentum, what key things do you need to know about analyzing your manufacturing data?
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Mission-Oriented Analytics: New Methods for the Intelligence CommunityAlyson Wilson explains her work developing new analytic technologies for the intelligence community.
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Innovation in the Chemical Industry With Statistics and DOEKevin White shares how his team at Eastman uses cutting-edge methods to improve products and inform decisions.
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Bridging Statistics and Chemical Engineering for Biotech and PharmaJulia O'Neill on accelerating the availability of critical new medicines and modernizing drug manufacturing.
Statistics, Predictive Modeling and Data Mining
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Predicting Product Reliability: A Case StudyExplore core reliability analysis techniques and best practices by walking through a case study based on hard drive reliability.
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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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Why quality improvement is imperative in the big data eraXaar, NNE and IT&M Stats increase efficiency and effectiveness with modern quality engineering
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Expert guidance on making the most of machine learning Demystify the buzzwords and expand your toolkit
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Predictive Modeling for Risk of DiseaseWalk through an example based on building predictive models for peripheral arterial disease risk using data from the National Health and Nutrition Examination Surveys.
Data Visualization and Exploratory Data Analysis
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Lead your organization to analytic excellenceHow P&G, Intel Corporation and Seagate Technology embed analytics throughout the organization
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Solving science and engineering problems with machine learningRolls-Royce, Tata Steel and SABIC innovate with machine learning and AI
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Data visualization best practices can transform the work of scientists and engineersInsights from experts at W.L. Gore and SAS on how to gain momentum for your ideas and inform strategic decision making
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The key elements of a data-driven cultureLearn how organizations like GE Gas Power make a business case for analytics projects and gather the right tools for success
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Working With and Interpreting COVID-19 DataIn this video, you will learn how to prepare and clean data and build interactive maps using COVID-19 data from Johns Hopkins University.
Consumer and Market Research
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Using Bayesian Methods in Business and MarketingTechnology, operations and marketing professor on improving marketing models and analyzing customer data.
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Accessible Analytics for MarketingProfessor from Drexel University on her career helping businesses and students understand marketing and consumer data.
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Exploring Customer Perceptions with Maximum Difference ScalingSee how MaxDiff analysis helps answer crucial market research questions.
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Exploring Customer Behavior With Market Research Models and Survey Analysis Marketing analysis leader Walt Paczkowski tackles some of the most pressing questions in market research today including testing, discete choice modeling and more.
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Understanding Customer Needs With Choice ModelingAmerican or Belgian chocolate…which is better? These researchers use choice modeling to determine the most important factor that makes chocolate taste so great!
Dashboard Building
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Streamlining Workflows to Optimise ProcessesLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
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Best Practices for Building Quick and Useful DashboardsSee a complete workflow for building dashboards, from data access and cleanup to model-building, data visualization and sharing.
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Dashboard Building with JMPAccess and communicate performance information more easily (without coding). This webinar will provide a step-by-step guide on how to set up specially tailored dashboards in minutes.
Life Sciences
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Working With and Interpreting COVID-19 DataIn this video, you will learn how to prepare and clean data and build interactive maps using COVID-19 data from Johns Hopkins University.
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QbD: Using DOE to Increase Knowledge of the Process and Design SpaceDiscover when to apply design of experiments and how to identify different strategies to suit a variety of experimental needs.
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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.
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Pharmaceutical Method TransferConduct a successful analytical method transfer with time-saving statistical methods. In this webinar, you’ll learn new best practices to help streamline testing protocols.
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Visualization and Analysis in Oncology Trials Using RECISTLearn how specialized interactive visualization reports can help you more effectively evaluate early efficacy signals in oncology therapeutic studies.