Technically Speaking
Analytic solutions to real-world problems
Are you and your data “having issues?” Do you find that your data seems to be hiding something, not giving you the answers you need? Perhaps your data has been inappropriate, messy, unruly or just plain missing?
If this describes your relationship with your data, look no further. It could be that your data has simply been misunderstood. Our real-world case studies deliver key insights on overcoming the challenges you may face with your data collection, preparation, and analysis.
On-demand webinars
- 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.
- Best Practices in Data VisualizationDoes your graph need a makeover? Listen in to find out techniques for creating an effective graph. Even the simplest data set can be transformed into a compelling case study.
- Boosting Performance With Custom Designed ExperimentsStreamline your experimentation with a customized experimental design. Test only those factors that have the biggest impact on your processes. Find out how in this film development case study.
- 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.
- Clinical Trial Safety Analysis With JMP ClinicalConsolidate your clinical trial workflows by providing interactive reviews for medical monitors, reviewers and writers. This randomized controlled trial case study shows you how!
- 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.
- 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.
- Experiment Even More Efficiently Using JMP Definitive Screening DesignsJeff Upton discusses how to experiment even more efficiently using JMP Definitive Screening Designs
- Exploring Capability AnalysisAll processes are variable to some degree, but how can you be sure your processes are functioning within acceptable parameters?
- Exploring Customer Perceptions with Maximum Difference ScalingSee how MaxDiff analysis helps answer crucial market research questions.
- Exploring Your Data With Custom MappingFind your "quantified self"! See how custom maps can be created and used to track personal data in new and interesting ways.
- 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.
- Going Beyond Spreadsheet Analytics With Visual Data DiscoveryHow do you uncover the information you miss by using spreadsheets alone? This case study will explain how to augment your existing tools and processes for exploratory data analysis to see what you may have been missing.
- 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.
- How to Reduce Costs Through Visual AnalysisSee how one hospital network used visual analysis techniques to explore factors leading to high costs and compromised care.
- How to Save Time With Repeatable AnalysesIs it possible to automate the entire analytic life cycle? Yes! Find out how in this case study from one biotech company.
- Improving Your Process With Statistical ModelsA pharmaceutical manufacturer seeks process improvement in the midst of an alarming number of batch failures and a high degree of variability in the natural materials used in the manufacturing process. How do they find the answers?
- 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.
- Model Selection for Designed ExperimentsSelect your best! Learn how ad hoc model reduction, stepwise regression and effect screening can be used to help you determine the best model for your designed experiment.
- 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.
- Optimizing Your Process With Design of ExperimentsIn this study, a specialty chemicals supplier is struggling to manufacture enough pigment at the required specifications to meet customer demand. See how they implement a more efficient process.
- 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.
- Pharmaceutical Product StabilityLearn how to navigate pharmaceutical regulatory requirements with robust analytics.
- Predicting Product Reliability: A Case StudyExplore core reliability analysis techniques and best practices by walking through a case study based on hard drive reliability.
- 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.
- 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.
- 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 Tools for Process Improvement MethodologiesAlisa Hunt-Lowery discusses how understanding and acting on factors influencing quality can result in reduced cost, faster time to market, better quality, and other benefits to your organization.
- Sentiment Analysis: What Are People Feeling?Mike Anderson discusses how sentiment analysis and term selection in JMP can help you gain insights from your survey text, social media and other forms of text data.
- Tackling Unstructured Data With Text ExplorationBecome a more efficient data wrangler! See how one consultant organizes his unstructured data to see linkages between word usage and document of origin.
- 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!
- Using Statistical Process Controls to Improve and Monitor Your ProcessDiscover how to use one-way analysis, histogram distributions and more. This case study showcases how one ethanol manufacturing plant successfully implemented Statistical Process Control to limit batch-to-batch variance.
- 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.
On-Demand Webinars
Featured Series
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