Chemical

• Data Insight Tolerating Input Variation: How to Design for Robust Production ProcessesEnsure consistent high-quality output and operational efficiency during the transition from development to routine manufacturing.
• On-Demand Webinar Johnson Matthey: Building organizational consensus around the tools of digital chemistryThis one-hour, webinar offers rare insight into how chemists and scientific leaders can more effectively work together to build consensus and lay the foundations for digital chemistry’s implementation.
• Data Insight Unlocking the Potential of Spectral and Chromatographical DataLearn a simple and efficient way of extracting the signals from the noise for a deeper and better understanding of your spectral and chromatographical data.
• Time to Innovate Synthomer: Making Data-Based Decisions in R&D and Manufacturing with Modern Design of ExperimentsJoin this webinar and learn how to get going with Design of Experiments (DOE), where to acquire DOE know-how during your adoption journey, and what to do to encourage others to follow.
• Data Insight Using Data Visualization for Better Decision MakingExplore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders
• Data Insight Design of Experiments: An IntroductionBy using the Design of Experiments approach, scientists and engineers can fully explore the possibilities of their process and discover optimal solutions.
• On-Demand Webinar Make better data based decisions with Statistical Modelling TechniquesIn this fun, engaging and free three-part online training program on DoE, delivered by JMP, you will be introduced to DoE and discover how it enables scientists and engineers to develop better solutions faster.
• Data Insight When Spreadsheets Are Not Enough: Get More out of Your DataLearn how to gain insight into the relationships in higher dimensional data, using integrated data management, dynamic graphs and statistics.
• Article Digitalisation is the future of science, just ask a bologistDOE expert Phil Kay discusses how digitalisation can help automate large and complex experiments, an idea chemists should borrow from their biologist friends.
• Article You Don't Need Coding to be a ChemistDOE expert Phil Kay says the job of today's chemist is less about making samples and more about generating data
• Interview OmyaCraig DePorter on why analytics enablement means learning more with less.
• Interview KemiraChemical engineer Meagan Walker shares her experience getting started with JMP.
• Interview NovozymesMarianne Toft on how statistics should be seen as a tool to enhance scientific expertise.
• Interview INEOS CompositesStatistician Tom Bidwell discusses how the chemical industry is increasingly embracing statistics.
• Time to Innovate Fujifilm: Making better data-driven decisions in Science and EngineeringLilian Monahan from Fujifilm will share how exploratory data analysis enables continuous improvement of processes and allows non-data scientists to better understand and communicate their findings, while also getting a clear visualization.
• Time to Innovate Design experiments to be robust to input variationDuring the Ondemand, you’ll learn ways of designing new products, developing new processes, improving existing processes, developing new and improving current measurement systems so they can tolerate as much variation as possible in incoming material, processing, and operating characteristics.
• Data Insight 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.
• Data Insight 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.
• Data Insight Getting Started with Design of Experiments: When Many Factors MatterIn this webinars you will learn how this innovative statistical methods can help scientists and engineers in process industries optimize processes and save time and money.
• Data Insight 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.
• Article 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.
• Article 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..
• Article 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.
• Article 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.
• Interview HexionDan Fortune of Hexion on the symbiosis of chemistry and statistics, transitioning from Excel and finding inspiration at Discovery Summit.
• Statistically Speaking How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI
• Time to Innovate 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)
• Time to Innovate Start being predictable: improve your experimentationLearn how modern experimentation methods can increase your process understanding, allowing you to develop new products and boost your R&D output
• Time to Innovate Solvay: Industrial data science for chemical process perfectionJoin us for a JMP sponsored webinar with Solvay data scientist Francisco Navarro to learn how to better understand chemical processes
• Time to Innovate Stan Higgins, OBE: Capturing value from your data to accelerate innovationLearn how to increase speed to market with cutting edge data science methods for R&D and manufacturing
• Statistically Speaking Risks and rewards for organizations building a culture of analyticsFind inspiration in analytics success stories from ASM, BASF and Coloplast
• Customer Story DuPontInvesting in an analytics-capable workforce helps DuPont extract maximum value from its state-of-the-art digital factories.
• Statistically Speaking The essentials of machine learning and artificial intelligenceCorning, Solvay and Novozymes experts make the most of advanced analytics
• Customer Story PPG IndustriesThe democratization of statistical best practices compliments domain knowledge to speed innovation.
• Interview SyngentaPlatform Lead Dirk de Bruyn Ouboter on becoming an analytics ambassador.
• Statistically Speaking Developing a shared vision for analytic excellenceAnalytics champions from Dow, Unilever and Riffyn lead with a data-driven mindset
• Customer Story Parker LORDWhen early benchmarking proved that JMP could have potentially dramatic time saving benefits, employees led the way in changing the culture.
• Customer Story SynthaceBiologists achieve all the benefits of sophisticated statistical methods without time-intensive programming.
• Time to Innovate Imperial College: Teaching Design of Experiments to chemists: lessons from Imperial College LondonFirst-hand experience from Imperial College London: Join us to learn about the importance and efficient implementation of a DoE training program in chemistry
• Statistically Speaking Fast-track innovation and process improvement with designed experimentsExperts from Mahle, Symrise and Allnex share why they use DOE
• Technically Speaking 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.
• Statistically Speaking Intentional visualizations help untangle complex dataFrom policy to sports to environmental investigations — data visualization leads to insights
• Statistically Speaking Leading companies innovate with statistically designed experimentsHear from Coherent, Lundbeck and Applied Materials
• Statistically Speaking Does your organization have a strategy for building analytic excellence?Learn from Haldor-Topsøe, Telefónica and other data-driven organizations
• White Paper Improving Processes with Statistical ModelsHow, when and where do I apply statistical modeling to a problem? Find out in these two real-world case studies.
• Article Mixed Models: The Flexible Solution For Correlated DataWhy are mixed models at the center of so many analyses? Russ Wolfinger explains in these seven diverse case studies.
• Article Why Design of Experiments Keeps Science in ScienceA former Kodak chemist outlines how DOE spurs process improvement and efficiency, leaving more time for researchers to focus on the science they love.
• Technically Speaking 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.
• Technically Speaking 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.
• Technically Speaking 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?
• Customer Story Johnson Matthey Fine ChemicalsAt Johnson Matthey, JMP is the ‘active ingredient’ in process optimization
• Customer Story AllnexText exploration helps researchers gain business insight from a vast quantity of patent data.
• Customer Story Chemistry MattersData visualization helps forensic chemists explain evidence to judges, juries, law enforcement and environmental agencies.
• Customer Story SymriseFermentation specialists use design of experiments to perfect product development.
• Customer Story Technical University of DenmarkAn analytical chemist uses DOE to develop a more comprehensive method to detect carcinogenic food processing contaminants.
• Customer Story BASFChemists uncover a replacement for phosphates in dish detergent.
• Customer Story KodakKodak gets a boost from JMP in its drive for zero-defect performance.
• Customer Story Eastman ChemicalJMP and JMP Pro allow a team of statisticians to interactively engage with their data and share insights with internal clients.
• Customer Story Fujifilm Diosynth BiotechnologiesScientists use the Functional Data Explorer platform in JMP Pro to develop a cost-effective means to advance process knowledge in less time.
• Customer Story AtotechEngineers use DOE to respond to the demands of a fast-paced industry.
• Customer Story AnatuneChemists use DOE to design customized robotic solutions for chemical analysis.
• Abstract AstraZenecaSpeeding up assay development.
• Abstract Symrise AGOptimizing fermentation via media component screening.
• Abstract TopsoeA mathematical model for evaluating catalyst performance.