Technically Speaking
Analytic solutions to real-world problems
Learning by doing can sometimes make all the difference. That’s why each webinar in this diverse collection of data analysis case studies is accompanied by a downloadable copy of the data table used in the presentation for you to try out the techniques for yourself.
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Maximizing Effectiveness and Efficiency in Your Engineering and Scientific WorkIn this Technically Speaking, realize the full potential of your engineering projects and targeted research initiatives by means of analytics. In this 45-minute session, learn essential tips and tricks for using data analytics to enhance efficiency and to drive innovation in your day-to-day work.
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Mastering Quality Management: Strategies for Reliable and Actionable ResultsIn this Technically Speaking, discover the full potential of your quality assurance processes. This 45-minute session dives into the intricacies of ensuring high standards and effective quality control while avoiding common challenges.
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Design of Experiments for Reverse Engineering FormulationsIn this Technically Speaking, discover the full potential of your experiments with our upcoming webinar on design of experiments (DOE). This 45-minute session demonstrates applications of DOE methods to responses that are characterized by a curve of correlated response values – even spectra.
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Data Visualization PitfallsIn this Technically Speaking, learn tips and tricks for avoiding common issues such as graph cramming, just showing the data, and data art vs. data visualization – allowing you to stay out of the pits.
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Getting to Market Faster with Smart ExperimentationIn this Technically Speaking, Byron Wingerd will discuss how to lower the threshold for statistical methods, including design of experiments (DOE), process verification, and root cause.
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Producers, Consumers, and Servicers: Three Perspectives on ReliabilityJerry Fish shares core reliability analysis techniques and best practices by walking through a hypothetical case study based on HVAC reliability.
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How to Model Complex, High-Dimensional Chemical SpectraBill Worley and Jeremy Ash demonstrate spectral analysis in JMP. Understanding and acting on factors influencing quality can result in reduced cost, faster time to market, better quality, and other benefits to your organization.
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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.
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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.
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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.
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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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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.