Resource Center
Uncover the latest trends and industry best practices in your field
Pharmaceutical & Biotech
-
Accelerating R&D for the Autonomous and Electric Vehicles IndustryJMP provides researchers in the Autonomous and Electric Vehicles Industry strategic advantages like improved productivity, higher quality, reduced time to market and continuous process improvement.
-
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.
-
An interview with Marianne Toft of NovozymesMarianne Toft on Discovery Summit, continuous learning and how statistics should be seen as a tool to enhance scientific expertise
High-Tech Manufacturing
-
Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
-
MarelliThe consolidation of big data management, analysis, data controls, prevention and prediction into a single workflow accelerates innovation.
-
Jeju Semiconductor CorporationAn all-in-one statistical workflow is key to optimizing the impact of an R&D-focused business model.
-
Achieving Product ReliabilityIn this chapter from the book Achieving Product Reliability, Bill Meeker, Necip Doganaksoy and Gerald Hahn introduce us to the role of statistics plays in reliability assurance.
-
STMicroelectronics ShenzhenA tiered Six Sigma program and standardization around JMP drive large-scale improvements.
Consumer Products
-
Accelerating R&D for the Autonomous and Electric Vehicles IndustryJMP provides researchers in the Autonomous and Electric Vehicles Industry strategic advantages like improved productivity, higher quality, reduced time to market and continuous process improvement.
-
Anatune: Data analytics for analytical method developmentLearn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
-
Empowering P&G employees to do text analysisScott Reese, from the Data & Modeling Science team at Procter & Gamble, explains how he uses text analytics to answer some of the company's most pressing data questions.
-
Developing a shared vision for analytic excellenceAnalytics champions from Dow, Unilever and Riffyn lead with a data-driven mindset
-
Just add water....Tim Gardner shows how applying designed experiments can turn something as simple as "adding a little water" into an operational gain worth hundreds of thousands of dollars per run.
Chemical
-
How to Model Complex, High-Dimensional Chemical SpectraJoin us as JMP Senior Global Enablement Engineer Bill Worley shows us a visual approach to chemometrics.
-
Machine learning applications for chemical and process industriesIn this article, we explain industrial data science fundamentals and link them with commonly-known examples in process engineering. Then, we review industrial applications using state-of-art machine learning techniques.
-
Analyzing spectral data: Multivariate methods and advanced pre-processingJMP Senior Systems Engineers Bill Worley and Data Scientist Jeremy Ash demonstrate the utility of the multivariate platforms in JMP..
-
Analyzing spectral data: Modeling optionsJMP Senior Systems Engineers Bill Worley and Data Scientist Jeremy Ash demonstrate several ways spectral data can be modeled in JMP.
-
Analyzing spectroscopic data: Pre-processingJMP Senior Systems Engineers Bill Worley and Data Scientist Jeremy Ash describe how you can import, visualize, clean, and analyze spectroscopic data with JMP software.
Industrial Manufacturing
-
Accelerating R&D for the Autonomous and Electric Vehicles IndustryJMP provides researchers in the Autonomous and Electric Vehicles Industry strategic advantages like improved productivity, higher quality, reduced time to market and continuous process improvement.
-
Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
-
MarelliThe consolidation of big data management, analysis, data controls, prevention and prediction into a single workflow accelerates innovation.
-
An interview with Marianne Toft of NovozymesMarianne Toft on Discovery Summit, continuous learning and how statistics should be seen as a tool to enhance scientific expertise
-
How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI
Energy & Utilities
-
HeliatekAn automated dashboard helps establish statistical process control in a pilot production environment.
-
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
-
Well Performance Evaluation With Data-Driven Analytics to Optimize a Hydraulic Fracture StrategyLearn to analyze risk and uncertainty, strengthen confidence in completion strategies and maximize oil well performance with a modeling strategy that aggregates spatial, temporal and field data.
-
Applying Quality Engineering Principles to Create Innovative ProductsOLEDWorks Director of Quality and Reliability Engineering explains why statistics is the key to product R&D.
-
The Elements of Sophisticated Reliability AnalysisDavid Trindade of Bloom Energy makes big process improvements with reliability and DOE.
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.
-
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.
-
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.
Conservation
-
Revolutionizing Sustainability Through Green ChemistryJoin us for a virtual discussion with Grace Lasker and Rick Morgan on sustainability through green chemistry.
-
Target MalariaCapacity-building efforts accelerate research outputs in novel vector control approaches towards disease transmission.
-
Karlsruhe Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
-
Anatune: Data analytics for analytical method developmentLearn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
-
University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.
Sports
-
JMP and Analytics in BaseballIn this white paper, Sig Mejdal, Assistant GM of the Baltimore Orioles, discusses the proliferation of quants in the sport and explores how JMP has helped bring analytics to baseball.
-
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.
-
Intentional visualizations help untangle complex dataFrom policy to sports to environmental investigations — data visualization leads to insights
-
Analytics Lessons From BaseballHouston Astros Director of Decision Sciences shares lessons on data exploration and analytics from the world of baseball.
-
Houston AstrosHow the losingest team in baseball found a competitive edge with analytics.
Academic
-
Target MalariaCapacity-building efforts accelerate research outputs in novel vector control approaches towards disease transmission.
-
RiffynResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
-
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.
-
University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.