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White Papers
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Six Footprints for Leading Analytical ChangeIn this white paper, Tom Lange, retired Director of R&D at Procter & Gamble, passes on ideas, trends and best practices he's learned during a 40-plus year career building and leading analytical teams.
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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.
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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.
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Moving from SPSS to JMP: A Transition GuideThis guide explains how SPSS and JMP differ in the handling of descriptive statistics and visualizations. It is meant to ease the user’s transition from SPSS Version 27 to JMP 16 and JMP Pro 16.
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JMP takes the struggle out of data wranglingThis paper provides an introduction to the unglamorous, time-consuming, laborious, and sometimes dreaded “dirty work” of statistical investigations – data preparation. The good news: JMP can perform these operations with ease.
On-Demand Webinars
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Generating Insights from DataIn this webinar you will learn the importance of using your domain knowledge, experience and intuition alongside statistical and machine learning methods.
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Going Beyond SpreadsheetsIn this video you will see how interactive, no-code analytics enable any scientist or engineer to go beyond spreadsheets and discover patterns in data quickly and easily.
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Glean and Visualize Deeper Insight from Your DataHear best practices from Procter & Gamble and Michelin! Gaining skills around a multistage process of turning data into useful insights is key. You will see how interactive, no-code analytics enable any scientist or engineer to turn data into actionable insights with a combination of data preparation.
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Biotronik: Accelerate Product and Process Development with Design of Experiments (DOE)In this video, we speak to Christian Guhr, a Process Engineer at BIOTRONIK, about his experience of using data analysis, and specifically Design of Experiments, to accelerate product development.
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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.
Customer Stories
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Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
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Jeju Semiconductor CorporationAn all-in-one statistical workflow is key to optimizing the impact of an R&D-focused business model.
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Thermo Fisher ScientificScientists and engineers working at the forefront of technology transfer integrate sophisticated statistical approaches in JMP.
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RiffynResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
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Karlsruher Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
Book Chapters
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End of EverythingIn this chapter from her book End of Everything, Astrophysicist Katie Mack discusses her favorite topic – the end of the universe and our improving efforts to gather data about it (Astrophysically Speaking).
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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.
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Cautionary Tales in Designed ExperimentsThe beauty of DOE is about learning—from mistakes, from trying new things, and from working with others.. In this free e-book legendary author Dr. David Salsburg looks at the history of DOE and shares what to do (and what not to do) to successfully execute designed experiments.
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The CatalystIn Catalyst, Wharton Professor and author Jonah Berger explores change and its impact on human behavior. Taken from the introduction, this excerpt discusses how we can discover the hidden barriers preventing change and learn how to mitigate them.
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Dark DataIn Dark Data, Dr. Hand explores the many ways we can be blind to missing or unseen data and how, in our rush to be a data-driven society, we might be missing things that matter, leading to dangerous decisions that can sometimes have disastrous consequences.
Articles
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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.
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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..
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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.
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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.
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Studying intangiblesJMP Sr Research Statistician Developer Laura Castro-Schilo explains why structural equations models (SEM) is a powerful statistical technique every analyst should have in their toolbox.