Resource Center
Uncover the latest trends and industry best practices in your field
Chemical
- Making Better Use of Spectral and Chromatographical Data in Product and Process DevelopmentLearn a simple and efficient way of extracting the signals from the noise for a deeper, better understanding of your processes and products.
- Getting Started with Design of Experiments: When Many Factors MatterIn this webinar you will learn how this innovative statistical method can help scientists and engineers in process industries optimize processes and save time and money.
- How to Design for Robust Production ProcessesIn this webinar you will learn how to adapt a process to account for changes in material or process input.
- How to Be a Data DatectiveIn this webinar you will see how interactive, no-code analytics enable any scientist or engineer to be a Data Detective, and to be more effective and efficient at every stage of the process.
- Unit TestsOver the past 20 years, software developers have become increasingly interested in automated unit testing and the phrase unit testing framework has come to refer to the mechanism used to facilitate automated unit testing. Learn how JMP uses unit testing in its software development.
Pharmaceutical
- Regeneron PharmaceuticalsIn this presentation, Diana Nadler, Manager of Continuous Improvement Statistics, discusses enterprise analytics at Regeneron Pharmaceuticals.
- Quality Engineering Tools in Bio/PharmaIn this on-demand webinar, Jeff Upton showcases tools that are utilized for Statistical Process Control and Six Sigma workflows.
- Statistical Exploration for Research & DevelopmentIn this on-demand webinar, Jordan Hiller demonstrates how to visualize data and drill-down to gain insight quickly.
- Design of Experiments for BioTech/Pharma ManufacturingIn this on-demand webinar, Jordan Hiller explains what Design of Experiments (DOE) is, and how to use it to improve processes and products.
Clean Energy and Conservation
- Revolutionizing Sustainability Through Green ChemistryJoin us for a virtual discussion with Grace Lasker and Rick Morgan on sustainability through green chemistry.
- University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.
Government
- Data Science is a Team SportProfessor Alyson Wilson discusses how, as data grows in volume, velocity, variety and veracity, solving complex problems can no longer be done in a silo.
- Intentional visualizations help untangle complex dataFrom policy to sports to environmental investigations — data visualization leads to insights
- Mission-critical advanced statistics for the defense communityLearn about machine learning and artificial intelligence, and their synergies with structured experimentation
- 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.
Medical Devices
- FreseniusFresenius uses JMP to streamline a medical device manufacturing process with innovative Visual Six Sigma thinking
- MedtronicAn R&D team develops a new, easily replicated methodology for evaluating medical device performance.
- Beckman CoulterBeckman Coulter adapts to evolving regulatory standards while building in-house statistical capabilities.
- ColoplastProcess specialists use Six Sigma and DOE to ensure a high quality product.
Medical Statistics
- Colorado Department of Public Health and EnvironmentAn epidemiologist uses data analysis to help patients living with HIV/AIDS reenter the care continuum.
- Beijing Children's HospitalData visualization software deepens collaborations between clinicians and statisticians.
- Tsukuba Medical CenterTsukuba Medical Center Hospital established a model for predicting the economic life of portable medical devices (infusion pumps) using the statistical analysis tool "JMP".
Academic
- Data Science is a Team SportProfessor Alyson Wilson discusses how, as data grows in volume, velocity, variety and veracity, solving complex problems can no longer be done in a silo.
- Moving from Minitab to JMP: A Transition Guide, Version 2This guide explains how Minitab and JMP differ in the handling of descriptive statistics and visualizations. It is meant to ease the user’s transition from Minitab v19 to JMP 16 and JMP Pro 16. Focus is on the user interface, how tools are accessed, how analyses are performed, and the general workflow of the packages.