| Discovery Summit Paper with Video |
Finding the optimal parameters for laser welding of steel plates with JMP |
Clecim |
Industrial Manufacturing |
France |
A weld bead must meet two criteria: it must be free of defects and it must be resistant. The search for the optimal parameters for laser welding steel plates is already extremely demanding due to this double constraint. But by using custom DOE, ANOVA and Graph Builder in JMP, one can easily overcome the challenge of optimizing processing line productivity and the quality of the incoming material. |
Steel strip manufacturing, steel plate processing, welding, machine learning, defect reduction, DOE, custom DOE, Graph Builder, defects visualization, Erichsen-type cupping tests, distributions, ANOVA, weld bead strength analysis |
Stéphane Georges, R&D and Data Science Project Manager |
JMP |
Moba Group, Glatt Group, L.K. Machinery International, PM Group |
English |
| Discovery Summit Poster with Video |
Do Not Copy and Paste in Excel (Use JMP) |
Galderma |
Consumer Products |
Sweden |
Functionalities in JMP save users a tremendous amount of time in data cleaning, preparation and organization. |
Excel, data cleaning, data organization, data preparation, time savings, efficiency, data import |
Åke Öhrlund, Senior Analytical Scientist |
JMP |
Johnson & Johnson, Pfizer, BioScrip, Cytokinetics, Dermapharm, Dermalogics, Sanofi, Allergan |
English |
| Discovery Summit Paper with Video |
How to Enhance Data Analytics Skills by Encouraging JMP in a Company |
Siltronic |
Semiconductor, High-Tech Manufacturing |
Germany |
A senior manager at leading semiconductor company Siltronic shares his experience establishing the use of JMP as an enterprise standard, as well as his current view on JMP usage and future roadmap. |
Analytics culture, culture transformation, career path, advocacy, resources, mentorship |
Georg Raming, Senior Manager, Electrical Engineering |
JMP |
SUMCO, GlobalWafers, Virginia Semiconductor, Hemlock Semiconductor, 1366 Technologies, X-Fab Silicon Foundries, Zentrum Mikroelektronik Dresden AG, Samsung Semiconductor, Shin-Etsu, FlipChip International, Amkor Technology, Precision Flow Technologies |
English |
| Discovery Summit Paper with Video |
Predicting Molecule Stability in Biopharmaceutical Products with a Rapid Short-Term Study Using JMP |
GlaxoSmithKline |
Pharmaceutical |
UK |
To enable scientists to design, plan, and execute accelerated stability models (ASM) employing design of experiments for biopharmaceutical products, a JMP add-in has been developed. It permits users to predict mAb stability in shorter experimental studies (in two to four weeks) using the prediction profiler and bootstrapping techniques based on improved kinetic models. At GSK, Biopharm Process Research (BPR) deploys ASM for its early development formulation and purification stability studies. |
Stability analysis, DOE, dashboard building, customization, scripting, automation, predictive modeling, process development, process research, stability studies |
Paul Taylor, Senior Scientist; David Hilton, Investigator |
JMP |
Bristol Myers Squibb, Johnson & Johnson, Merck, Novartis, Abbott, Roche, Eli Lilly, Pfizer, Cipla, Teva Pharmaceuticals, Sanofi, AstraZeneca |
English |
| Discovery Summit Paper with Video |
How to Make More from Online and Offline Fermentation Data to Speed up Process Development |
Clariant |
Chemical |
Germany |
This presentation shows how to maximize insights and understanding of the process by modeling data collected offline (like product titer and parameters of downstream processing) and online sensor data (like pO2) in context of the Functional Data Explorer platform. Furthermore, this presentation highlights the advantages of using Graph Builder to lead a team and subject matter experts to a faster, easier and more efficient understanding of the produced data so that they may make better and more reliable decisions in the fields of bioprocess development. |
Bioprocess development, Functional Data Explorer, statistical modeling, data exploration, FDE, fermentation processes, sensor data |
Benjamin Fürst, Group Leader Bioprocess Design |
JMP, JMP Pro |
Dow, Celanese, Ashland Global Holdings, Evonik Industries, Eastman, W.R. Grace, DuPont, Royal DSM, LG Chem, INEOS, SABIC, LyondellBasell, Mitsubishi Chemical |
English |
| Discovery Summit Paper with Video |
SVEM (Self-Validated Ensemble Modeling): A Path Toward DOEs with Complex Models and Very Few Runs |
Lohmann Tapes |
Industrial Manufacturing |
Germany |
Three case studies are presented. The first two case studies deal with designs conducted on a production scale, first on a five-factor, 13-run design and then on a four-factor, 10-run design, each with nonlinear problems. Another use case shows a Bayesian I-optimal 15-factor, 23-run design for a nonlinear problem. |
Self-validated ensemble modeling, DOE, experimentation, complexity, time savings, cost savings |
Simon Stelzig, Head of R&D Data-Driven Development |
JMP |
Adhesives Research, Taiheiyo Cement, Bostik, Bakelite Synthetics, CHEMGROUP, Zeon Chemicals, Nitto, Marian, Flexcon |
English |
| Discovery Summit Poster with Video |
JMP Can Be Shiny Too |
National Institutes of Health (NIH) |
Government, Pharmaceutical |
USA |
This presentation shows how, as an alternative to R, JMP dashboards can be a tool for sharing the excitement of data discovery with others, personalizing the presentation of graphics and creating a visual storyboard to convey information.
|
Dashboard building, data visualization, customization, app development, scripting, time savings |
Caroll Co, Research Scientist in Social & Scientific Systems; Helen Cunny, Toxicologist, Keith Shockley, Staff Scientist; David Umbach, Staff Scientist – all from the Division of the National Toxicology Program
|
JMP |
N/A |
English |
| Discovery Summit Paper with Video |
Evaluating Meditation Program Using the SEM Platform in JMP |
P&G |
Consumer Products |
USA |
Human Resources staff from P&G use structural equation modeling (SEM) in JMP to evaluate the impact of a new employee wellness meditation program by using four major dimensions: resiliency, empathy, stress and mindfulness. The authors measured the scale and change over time of success indicators, specifically in terms of the wellbeing and productivity of employees. |
Human resources, structural equation modeling, SEM, employee health, job satisfaction, modeling |
A Narayanan, Principal Scientist; Annie Weisbrod, Principal Sustainability Scientist; Mark Bailey, Human Resources Expert |
JMP |
Colgate-Palmolive, Church and Dwight, Unilever, Estee Lauder, Revlon, Coty, Elizabeth Arden, Reckitt Benckiser, Newell Brands, Clorox, Kimberly-Clark |
English |
| iscovery Summit Paper with Video |
Optimizing Multivariate Models: From Data Collection to Optimal Conditions and Scoring Models |
ADM |
Consumer Products, Agriculture, Biotechnology |
USA |
This presentation demonstrates an entire workflow at ADM involving obtaining data from a data historian; modeling and optimizing with multivariate models that account for process constraints; using the MDMCC platform; scoring models online and writing abnormal conditions back to the historian.
|
Analytics workflow, dashboard building, customization, data access, data integration, data organization, modeling |
Isaac Himanga, Senior Analytics Engineer |
JMP Pro |
Ingredion, COFCO, Tate & Lyle, Cargill, ED&F Man, Fresh Del Monte Produce, Bunge, Wilmar International, Unilever |
English |
| Discovery Summit Paper with Video |
Utilizing Extrapolation Control Features in JMP Pro 16 to Optimize Real-World Mining |
Dow |
Chemical |
USA |
The case study assesses 12 types of frothers in terms of their performance in mineral recovery in mining. |
DOE, prediction profiler, predictive modeling |
Xinjie Tong, Senior Research Statistician |
JMP Pro |
BASF, Bayer, Monsanto, Syngenta, DSM, Solvay, Huntsman, PolyOne, Eastman, Mitsubishi Chemical |
English |
| Discovery Summit Paper with Video |
Beyond A/B: Case Study of Multivariate Test Design and Advanced Analytics for Webpage Optimization |
Wells Fargo |
Banking, Finance |
USA |
This presentation demonstrates use of the JMP custom DOE platform to create a fractional factorial multivariate DOE for a financial services checking account webpage that effectively managed business constraints while providing the necessary data that lead to a 7% increase in application volume as compared to the legacy webpage. |
DOE, partitioning, experimentation, partition modeling, webpage optimization, consumer research, market research |
Steven Crist, Analytics Consultant |
JMP |
JPMorgan Chase, Bank of America, Citigroup, Goldman Sachs, State Street Corporation, BNP Paribas, Morgan Stanley |
English |
| Discovery Summit Paper with Video |
A New Resolve to Dissolve: Model Drug Dissolution with Functional DOE |
Perrigo |
Pharmaceutical |
USA |
This paper illustrates how functional DOE is an extremely robust and easy-to-use technique for optimizing to a target dissolution profile rapidly with fewer resources. |
DOE, Functional Data Explorer, FDE, functional data, formulation science, formulation development, model dissolution, drug development |
Amanjot Kaur, Statistician |
JMP Pro |
Taro, Arbor Pharmaceuticals, Merz Pharma, Mylan, Allergan, Jazz Pharmaceuticals |
English |
| Discovery Summit Paper with Video |
As Easy as Uploading a Photo: Building, Sharing, and Updating Add-ins Automatically |
Novozymes |
Biotechnology |
USA |
This presentation gives an overview of an automatic tool developed by Novozymes as a Python build script, automated workflow and JMP add-in package that makes building, sharing, and updating JMP add-ins incredibly easy. |
Dashboard building, analytics workflow, scripting, Python integration, culture of analytics, customization, analytics capability development, data access, data integration |
Michael Akerman, Senior Data Scientist; Johan Pelck Olsen, Data Scientist |
JMP |
BBCA Group, Lonza, Element Solutions, DuPont Industrial Biosciences, CHR Hansen, Novo Nordisk, Biocon, Royal DSM, Huvepharma, ABF Ingredients |
English |
| Discovery Summit Paper with Video |
Employment Application Arrival Model for Talent Acquisition Simulation and Management |
Sandia National Laboratories |
Government |
USA |
This presentation demonstrates that employment application arrival behavior may be effectively modeled using an ensemble of Gamma-Poisson distributions with mean rate and overdispersion parameter distributions correlated to work site, field of practice, and career stage, using application data from a large research organization collected over several years. |
Human resources, statistical modeling, talent acquisition, data visualization |
Thor Osborn, Principal Systems Research Analyst |
JMP
|
N/A |
English |
| Discovery Summit Paper with Video |
Combining DOE and First-Principles Science to Maximize Yield and Minimize Impurity with Curve DOE |
AstraZeneca |
Pharmaceutical |
USA |
By directly incorporating engineering and scientific knowledge via nonlinear equations, models more realistically extrapolate to new combinations of factor settings not present in the data, while also being more robust to missing data and functions sampled over different ranges of X. Applying this approach to pharmaceutical product development (simultaneously to product yield and impurity reaction curves) illustrates the ease of use and practical statistical advantages of using model selection criteria. |
FDE, Functional Data Explorer, product development, yield, impurity reduction, defects, DOE, experimentation |
Brian Taylor, Statistician |
JMP Pro |
Daiichi Sankyo, Boehringer Ingelheim, Sanofi, Novartis, GSK, Amgen, Bayer, Bristol-Myers Squibb, Pfizer, Roche |
English |
| Discovery Summit Poster with Video |
Accelerated Life Test Development to Demonstrate and Quantify Washing Machine Motor Reliability |
WEG |
Industrial Manufacturing |
Brazil |
This poster provides information about how quality engineers used JMP to analyze data and develop an accelerated life test. |
DOE, quality engineering, experimentation, reliability data analysis, historical data analysis, product reliability |
André Caron Zanezi, Six Sigma Black Belt; Danilo da Silva Toniato, Quality Engineer |
JMP |
ABB, Bharat Bijlee, Regal Rexnord, Siemens, Emerson |
English |
| Discovery Summit Poster |
Root Cause Failure Analysis in the Semiconductor Industry Using Data Analytics and Machine Learning |
NXP |
Semiconductor |
France |
An NXP customer in the automotive industry reported an issue with some parts, and failure analysis highlighted several failing tests in valve management functions. |
Machine learning, failure analysis, root cause analysis, wafers, prediction algorithms, predictive modeling |
Corinne Bergès, Six Sigma and Root Cause Problem Solving Leader |
JMP Pro |
Analog Devices, Maxim Integrated, Infineon, Broadcom, Intel, Marvell, Nvidia, Texas Instruments, STMicroelectronics, Nordic Semiconductor, Renesas Electronics |
English |
| Discovery Summit Paper with Video |
Use of Functional Data Explorer in a Mixture Design for Tribological Performance Prediction |
FUCHS |
Industrial Manufacturing |
France |
This presentation outlines an approach to realizing a mixture design for formulations containing up to three performance additives and analyze the results obtained from tribological equipment (friction coefficient vs. temperature). A new approach based on Functional Data Explorer enables a holistic view of the relevant systems behavior, allowing for increased understanding of more complex interactions typically neglected by conventional evaluation. |
FDE, Functional Data Explorer, DOE, mixture design, experimentation, functional data, formulations |
Victor Guiller, R&D Engineer |
JMP Pro |
Petrosys, Omega AS, Stochastic Simulation, Castrol, Klüber Lubrication, Petromin, Balmer Lawrie, Freudenberg Filtration, Sonol, PureLine, Stepan Company, Universal Chemicals and Coatings |
English |
| Discovery Summit Paper with Video |
Milking the Data at Dairygold: From Bar Charts to Neural Networks |
Dairygold |
Consumer Products |
Ireland |
This session provides insight into how Dairygold, a business steeped in tradition and history, has embraced and encouraged the use of data analytics to ensure that it can no longer be considered a business deemed to be “data rich, but information poor.” |
Culture of analytics, analytics transformation, digital transformation, commodity, commodities, quality engineering, process enablement |
Kieran O'Mahony, Data Science and Analytics Manager |
JMP
|
LIC, Norco, Lakeland Dairies, Milcobel, Unilever, Mondelez, Kraft |
English |
| Discovery Summit Paper with Video |
In Pursuit of the “Golden Curve:” A Comparison of FDA and PLS Analyses of Data Series |
P&G |
Consumer Products |
Germany |
P&G statisticians apply Functional Data Analysis to extract discriminating curve characteristics representing product features. Using case studies from Baby Care, they show how to turn sensor data into meaningful information. In addition, they compare FDA with PLS in SIMCA to understand when to use each method. |
Functional Data Explorer, FDE, functional data, DOE, experimentation |
Beatrice Blum, Senior Statistician; Phil Bowtell, Principal Statistician |
JMP Pro |
Colgate-Palmolive, Church and Dwight, Unilever, Estee Lauder, Revlon, Coty, Elizabeth Arden, Reckitt Benckiser, Newell Brands, Clorox, Kimberly-Clark |
English |
| Discovery Summit Paper with Video |
How to Use Statistics as a Common Language – and How to Improve Process Quality by Doing So |
Envases |
Industrial Manufacturing |
Denmark |
What started out as a nebulous project with a very limited set of data turned out to be a successful project as the Envases team began structured and data-oriented progress using JMP. This case illustrates how various departments can work together using data and statistics as the foundation for process improvements. |
Data visualization, quality engineering, process quality, analytics culture, analytics enablement, DOE |
Marcus Soerensen, Head of Quality & Six Sigma |
JMP, JMP Pro |
Elopak, Signode, Pactiv Evergreen, Branopac |
English |
| Discovery Summit Paper with Video |
Data Mining Tools and Applications in Manufacturing |
Saint-Gobain |
Industrial Manufacturing |
France |
The presenters share a real case study showcasing a new protocol developed based on Knowledge Discovery in Databases (KDD) methodology and Six Sigma. |
Data preprocessing, data transformation, data mining, data access, data integration, analytics workflow, dashboard building, predictive modeling |
Yassir El Housni, R&D Engineer/Data Scientist; Mickael Boinet, Smart Manufacturing Group Leader, Saint-Gobain Research Provence |
JMP |
NSG, Schott, Guardian Glass, CRH |
English |
| Discovery Summit Paper with Video |
A Walk Through Text Explorer to Understand Customers’ Needs
|
W. L. Gore & Associates |
Industrial Manufacturing, Consumer Products |
Germany |
In this talk, the presenter shows how she used product descriptions for shoes in web shops to analyze what properties end users expect and need in different types of shoes. JMP Text Explorer helps process data and visualize the most important shoe features via word clouds. |
Consumer research, text analytics, Text Explorer, data visualization, word clouds, consumer products, unstructured data |
Kira Alhorn, Statistician |
JMP, JMP Pro |
DUNMORE, RTP, Jessup, Zhongding, TSG Holdings, Holliston Holdings, Alpha Engineered Composites, CCI-GSF, Barrday, Omni, California Combining |
English |
| Discovery Summit Paper with Video |
Optimization of a milling process to match the innovator drug product quality attributes |
Dr. Reddy's Laboratories |
Pharmaceutical |
UK |
In this study, the objective was optimization of a milling process to generate a drug product with particle size attributes all in the same range as that of the innovator product. |
Functional Data Explorer, FDE, Functional Principle Components, FPC, PCA, principle components analysis, process development, formulation |
Christel Kronig, Senior Analytical Scientist; Andrea Sekulovic, Formulation Process Development Scientist |
JMP |
Jubilant Life Sciences, PharMerica, Lupin Pharmaceuticals, LifePoint Health, Sunpharma |
English |
| Discovery Summit Paper with Video |
Avoid Wasting Time Investigating False Effects
|
Oxford Biomedica |
Biotech |
UK |
This presentation demonstrates how refitting models using multiple validation columns can allow the identification of the simplest and most frequently occurring model. Data from 67 bioreactor production runs containing 20 candidate predictors were used for analysis. The simulate function in JMP Pro was used to randomly generate 100 validation columns. |
Cell culture bioprocesses, process R&D, process development, characterization studies, process performance, yield, validation, predictive modeling |
Jose Goncalves, Upstream Scientist; Rebecca Clarke, Upstream Senior Scientist; George Pamenter, Downstream Process R&D Scientist; Thomas Chippendale, Upstream Senior Scientist |
JMP Pro |
BioNTech, Dicerna Pharmaceuticals, Stemline Therapeutics, Mutabilis, Kamada Pharmaceuticals, DiaMedica, Innate Pharma, GenVec, Agile |
English |
| Discovery Summit Paper with Video |
JMP Application for Automatic Immunogenicity Cut-Point Determination, Evaluation and Reporting |
Ablynx, a Sanofi company |
Pharmaceutical |
Belgium |
Scientists developed a JMP script for cut-point determination and assessment, which follows a pre-determined decision tree developed based on industry guidance, white papers and scientific best-practice. The script is designed to be appropriate for validation and use in GxP studies. |
Customization, dashboard building, scripting, decision trees, validation, automation, data access |
Els Pattyn, Non-Clinical Efficacy and Safety Statistician |
JMP |
Novo Nordisk, Genentech, Medtronic, Celgene, Zoetis, Vertex Pharmaceuticals, Regeneron |
English |
| Discovery Summit Paper with Video |
The Power Behind Data: Historical Data Analysis of a Biopharmaceutical Process |
Lonza |
Pharmaceutical |
Switzerland |
This presentation offers a structured data handling approach based on the “tidy data principle,” which allowed the authors to efficiently study the data from more than 80 production batches. The results of different statistical analyzes were used in combination with existing process knowledge to improve the overall product yield. |
Predictor screening, machine learning, PLS, structured data handling approach, process development, yield |
Anne-Catherine Portmann, USP Development Scientist; Sven Steinbusch, Senior Project & Team Leader, Microbial Development Service |
JMP
|
Patheon, Kemin, DSM, Barentz, Eastman, BTSA, Croda, Wacker, Ashland, Catalent, Bristol Myers Squibb, DuPont, Divis Laboratories |
English |
| Success Story |
“Nutritious soda” may sound like an oxymoron. But thanks to some shrewd statistics, PHYZZ is that and more.
|
Phyzz |
Consumer Products |
USA |
A combination of sensory analysis and design of experiments – all done in-house – has helped scientists optimize the taste, shelf life and nutritional value of their innovative new line of sodas.
|
Sensory analysis, DOE, consumer research, flavor profile, R&D, nutrition, shelf life, stability, design of experiments |
John Cunningham, Founder |
JMP Pro |
PepsiCo, Unilever |
English |
| JMP Advocate Interview |
Mauro Gerber of HUBER+SUHNER on why ‘smart factory’ and ‘digitization’ mean little without the democratization of statistical thinking |
HUBER+SUHNER |
Industrial Manufacturing, Fiber Optics |
Switzerland |
An interview with Mauro Gerber of HUBER+SUHNER on why ‘smart factory’ and ‘digitization’ mean little without the democratization of statistical thinking |
Analytics culture, culture transformation, digital factory, smart factory, process engineering, learning statistics, Discovery Summit, education, STIPS |
Mauro Gerber, Process Engineer and Statistical Expert |
JMP |
Ji-Haw Industrial, Lapp Group, Radiall, Beijer Alma, Yazaki Europe, Radio Frequency Systems, BizLink, Schaffner, Rosenberger, TE Connectivity, Molex |
English |
| JMP Advocate Interview |
Chemical engineer Meagan Walker of Kemira on learning applied statistics, getting started with JMP and taking advantage of free online training resources |
Kemira |
Chemical, Paper & Pulp, Energy, Waste Water |
Finland, USA |
An interview with chemical engineer Meagan Walker of Kemira on learning applied statistics, getting started with JMP and taking advantage of free online training resources |
Analytics culture, culture transformation, advocating for analytics, learning JMP, chemical engineering, process engineering, Early Adopter Program, JMP webinars, JMP resources, training, advice for new users, advice for students |
Meagan Walker, Operational Excellence Senior Specialist |
JMP |
Select Energy Services, Georgian Water & Power, Palyja, Black Mountain |
English |
| JMP Advocate Interview |
Dirk de Bruyn Ouboter of Syngenta on the excitement of data discovery and becoming an analytics ambassador |
Syngenta |
Chemical, Agricultural Technology, Agriculture |
Switzerland |
An interview with Dirk de Bruyn Ouboter of Syngenta on the excitement of data discovery and becoming an analytics ambassador |
Analytics culture, culture transformation, advocating for analytics, learning JMP, STIPS, chemistry, advice for new users, advice for students, Mastering JMP, the Community, resources |
Dirk de Bruyn Ouboter, Platform Lead for Data Capture, R&D |
JMP |
Monsanto Company, BASF, Dow AgroSciences, Bayer, DuPont Pioneer |
English |
| Featured Research |
An interview with forest scientist Dr. Teresa Fidalgo Fonseca on silvicultural simulations and the joy of modeling
|
Universidade de Trás-os-Montes e Alto Douro |
Academic, Forest Science |
Portugal |
An interview with forest scientist Dr. Teresa Fidalgo Fonseca on silvicultural simulations and the joy of modeling |
Forestry, forest science, silviculture, statistical modeling, teaching statistics, academics, algorithms |
Teresa Fidalgo Fonseca, Professor of Forest Science |
JMP |
N/A |
English |
| Success Story |
富山大学 薬学部 製剤設計学講座 | JMP
|
Toyama University |
Academic, Pharmaceutical |
Japan |
Scientists use JMP to apply the benefits of new multivariate analysis methods to research as the concept of Quality by Design (QbD) becomes more prevalent in drug development.
|
Quality by design, QbD, quality engineering, multivariate analysis, drug development |
Yoshinori Onuki, Visiting Professor, Faculty of Pharmaceutical Sciences
|
JMP |
N/A |
Japanese |
| Success Story |
At Marelli, curiosity is the mother of innovation
|
Marelli |
Automotive, Industrial Manufacturing |
Italy |
Technical leadership at Marelli sought an analytics tool that could offer both sophisticated statistical analysis and a means of streamlining the entire manufacturing data workflow. Since its implementation, JMP has made data exploration a best practice within Marelli’s analytics workflows, enabling domain experts to quickly extract more value – and ultimately more insight – from their data. Furthermore, this workflow has even helped to change the culture by empowering data and domain experts alike to approach data with a spirit of curiosity. |
Quality engineering, analytics workflow, culture of analytics, Six Sigma, data driven decision making, optimization, big data management, data access, visualization, time savings, efficiency |
Simone Cianchini, Head of Process Quality Electronics |
JMP |
Tenneco, HELLA, Erlson Precision, TI Fluid Systems, Valeo, Johnson Controls, Gentex, Eurolaf Veiculos Especiais, PHA Body Systems, ViGEM, NGK Europe |
English |
| Success Story |
A major milestone towards malaria control
|
Target Malaria |
Academic, Life Sciences |
EMEA |
JMP granted consortium-wide access to JMP Pro software for Target Malaria researchers in Europe and Africa through a license with its lead institution, Imperial College London. In contrast to open-source packages such as R, JMP facilitates high-quality, publication-ready data visualization, exploration, analysis and reporting – all without a single line of code. As a result, field researchers are now empowered to explore and analyze their own data, thereby removing their reliance on external biostatistical support that had previously delayed research output. "Access to JMP has been so important for capacity building,” says Professor Frederic Tripet. Having a statistical tool that is both powerful and accessible, he says, has accelerated not only research but also the publication of that research, bringing scientists one step closer to the inclusion of novel genetic vector control strategies in the broader malaria control toolkit. |
Genetics, academic research, capacity building, comparison with R, academic publications, data visualization, equity and access |
Frederic Tripet, PhD, Director of the Centre for Applied Entomology and Parasitology |
JMP Pro |
|
English |
| Success Story |
A transformative training program teaches applied statistics – and the tools to go with it
|
KM Biologics |
Pharmaceutical, Biotech |
Japan |
KM Biologics, a Meiji Holdings subsidiary and developer of one of Japan's first Covid-19 vaccines, dramatically improved in-house statistical literacy by implementing a widespread training program based on STIPS. Those who have been through the program are using JMP to analyze process data using control charts – a use case that has led to significant cost savings. |
STIPS, culture of analytics, training, education, data literacy, process data, control charts, statistical process control, cost savings, ROI, Covid vaccine |
Shinji Tochihara, Product Development Specialist; Tatsufumi Onchi, Research Scientist; Tomoko Sakazawa, Manufacturing Engineer |
JMP |
|
Japanese, English |
| Featured Research |
An interview with political science major Megan Tengan on analyzing text data from Twitter to gauge public sentiment about critical race theory and Covid policy in Hawai’i
|
The University of Hawai'i at Manoa |
Academic, Political Science, Social Science, Policy |
USA |
An interview with political science major Megan Tengan on analyzing text data from Twitter to gauge public sentiment about critical race theory and Covid policy in Hawai’i |
Academic research, undergraduate study, public policy, social sciences, social media |
Megan Tengan, Undergraduate Student |
JMP |
N/A |
English |
| Success Story |
Enter the new era of connectivity
|
Murata Finland |
Semiconductor, Manufacturing, High Tech |
Finland |
Digital manufacturing systems at Murata’s Vantaa, Finland site generated far more data than could be managed with existing tools. Barriers to data access and time-consuming data integration processes caused delays and limited the value that could ultimately be extracted from the company’s digital factory. Murata made JMP its universal data integration tool. Now used by operators, technical experts, data scientists and management alike, JMP helped automate the site’s entire data analytics workflow and improve data quality. |
Data integration, automation, dashboard building, digital factory, connectivity, smart manufacturing, data quality, data access, data management, customization, comparison with Minitab, standardization, scripting, culture of analytics, democratization of analytics, variation reduction, value beyond the software |
Philip O’Leary, Data Integration Manager |
JMP |
Cyntec, GainSpan, Electroverge, Coilcraft, FossilShale Embedded, Alps Electric, Kemet, TDK, Kyocera |
English, Japanese |
| JMP Advocate Interview |
Levannia Lildhar of Siemens Healthineers on data literacy, her evolution from product engineering to data science, and why curiosity may be more valuable than formal training |
Siemens Healthineers |
Medical device, Diagnostics |
Canada |
Levannia Lildhar of Siemens Healthineers on data literacy, her evolution from product engineering to data science, and why curiosity may be more valuable than formal training |
Culture of analytics, learning, training, career path, product engineering, advocating for analytics, analytics enablement, STIPS, Early Adopter |
Levannia Lildhar, Data Scientist |
JMP |
|
English |
| JMP Advocate Interview |
Gian-Franco Pironti of Merck KGaA on optimizing the business value of data with tools that make analytics approachable |
Merck KGaA |
Semiconductor, Manufacturing, Chemical |
Germany |
Gian-Franco Pironti of Merck KGaA on optimizing the business value of data with tools that make analytics approachable |
Design of experiments, DOE, engineering, advocating for analytics, analytics enablement |
Gian-Franco Pironti, Applications Engineer |
JMP |
|
English |
| Featured Research |
Biologist Patricia Chow-Fraser on how her lab uses statistics to monitor, assess and predict patterns in aquatic ecosystem health |
McMaster University |
Academic, Ecology |
Canada |
Biologist Patricia Chow-Fraser on how her lab uses statistics to monitor, assess and predict patterns in aquatic ecosystem health |
Ecology, biology, teaching statistics, academic, ecological fieldwork |
Patricia Chow-Fraser, Professor of Biology |
JMP |
N/A |
English |
| YouTube Video |
When digital transformation changed the nature of work, Perrigo saw opportunity
|
Perrigo |
Pharmaceutical |
USA |
With JMP Live, Perrigo’s R&D group consolidated data workflows and deepened enterprisewide collaboration between subject matter experts, statisticians and leadership. Faster decision making at scale has since accelerated product development cycles. |
JMP Live, time savings, digital transformation, culture of analytics |
AJ Kaur, Statistician |
JMP Live |
Taro, Arbor Pharmaceuticals, Merz Pharma, Mylan, Allergan, Jazz Pharmaceuticals |
English |
| YouTube Video |
At Vishay, a customized analytics workflow reduces unutilized engineering talent
|
Vishay |
High Tech, Semiconductor |
Italy |
Senior R&D Manager Fabrizio Ruo Redda explains how JMP has significantly decreased costs as a result of an 83% reduction in data processing time. With JMP, engineering talent in Vishay’s R&D lab is now more fully utilized, with individuals empowered to actively seek improvement opportunities in their data. JMP has become an essential partner in Vishay’s digital transformation, and Ruo Redda says, “[Without JMP] I believe we would have continued to make incremental improvements, but not realized the same level of business impact.” |
Time savings, ROI, data preparation, R&D, workflow, engineering, analytics culture, digital transformation, analytics transformation |
Senior R&D Manager Fabrizio Ruo Redda |
JMP |
Yageo, STMicroelectronics, Renesas Electronics, Infineon, KEMET, Toshiba, Broadcom, ON Semiconductor, TDK, GlobalFoundries, Powerchip Technology, AVX Corporation, Electroverge, SiliconExpert Technologies, Murata, Panjit International, Diodes International, NXP |
English |
| YouTube Video |
Milking the data for all its worth at Dairygold
|
Dairygold |
Consumer Products, Commodities, Food, Agriculture |
Ireland |
At Irish dairy cooperative Dairygold, a dynamic process-enabling tool helps develop the analytics capability of the whole organization. |
Culture of analytics, analytics transformation, digital transformation, commodity, commodities, quality engineering, process enablement |
Kieran O'Mahony, Data Science and Analytics Manager |
JMP |
LIC, Norco, Lakeland Dairies, Milcobel, Unilever, Mondelez, Kraft |
English |
| JMP Advocate Interview |
Marianne Toft of Novozymes on Discovery Summit, continuous learning and how statistics should be seen as a tool to enhance scientific expertise |
Novozymes |
Biotechnology, Chemical |
Denmark |
Marianne Toft of Novozymes on Discovery Summit, continuous learning and how statistics should be seen as a tool to enhance scientific expertise |
Analytics culture, analytics transformation, STIPS |
Marianne Toft, Senior Statistician |
JMP |
FMC, Element Solutions, Lonza, DuPont, BBCA Group, Biocon, CHR Hansen, ABF Ingredients, Syngenta |
English |
| JMP Advocate Interview |
Alicia Garcia-Tunon of Johnson & Johnson Vision on how advocating for statistical approaches has shaped her career as a process engineer and leader in analytics enablement |
Johnson & Johnson Vision |
Medical Device Manufacturing |
USA |
Alicia Garcia-Tunon of Johnson & Johnson Vision on how advocating for statistical approaches has shaped her career as a process engineer and leader in analytics enablement |
Analytics culture, analytics transformation, process engineering, STIPS |
Alicia Garcia-Tunon, Process Engineer |
JMP |
Alcon, Bausch & Lomb, CooperVision, Acuvue, Essilor |
English |
| JMP Advocate Interview |
Innovation Manager Lee Laim on Micron’s analytics culture and the symbiotic relationship of domain expertise and statistics |
Micron |
High Tech Manufacturing |
USA |
Innovation Manager Lee Laim on Micron’s analytics culture and the symbiotic relationship of domain expertise and statistics
|
Analytics culture, analytics transformation, Early Adopter program, JMP resources |
Lee Laim, Innovation Manager |
JMP |
Samsung Electronics, Intel, Seagate, Western Digital, SK Hynix |
English |
| Success Story |
An investment in analytics enablement amplifies innovation in low-power memory technology
|
Jeju Semiconductor Corporation |
Semiconductor, High-Tech Manufacturing |
Korea |
The outsourcing of fabrication processes to manufacturing partners is now allowing fabless semiconductor companies like Jeju Semiconductor Corporation (JSC) to focus resources on fast-paced R&D. When it became apparent that Excel provided insufficient functionality for JSC’s growing data access, management, analysis and communication needs, leaders turned to JMP. The platform’s wide-ranging fit-for-purpose tools for design of experiments, capability analysis and quality engineering – all without the need for a single line of code – have proven critical to process stabilization and the creation of product knowledge.
|
Process stabilization, DOE, capability analysis, quality engineering, defect reduction, improving yield, analytics culture, digital transformation, IoT, 5G, collaboration, workflow, data management, time savings |
Jeong KyungYun, Chief; Bu SangDon, Deputy General Manager |
JMP |
Shenzhen Shenai Semiconductor, Amlogic Shanghai, SUMCO, QPL International Holdings |
English |
| Success Story |
日本初のデータサイエンス学部が、JMPを活用する理由
|
Shiga University Faculty of Data Science |
Academic |
Japan |
This is an example of how the university, which was the first in Japan to establish a data science department, introduced JMP into its practice lectures from an early stage.
|
Teaching statistics, teaching data science, university education |
Shohei Shimizu, professor of data science at Shiga University |
JMP |
N/A |
Japanese |
| Success Story |
Reproducibility is key to regulatory compliance. The hidden benefit? It boosts customer trust.
|
Thermo Fisher Scientific |
Pharmaceutical, Life Sciences, Medical Device |
France |
When process engineers were tasked with transferring a pharmaceutical batch from 1 kg to 40 kg clinical production based on a small feasibility study, the team used JMP to validate the experimental space and ensure conformity. Readymade SPC tools in the platform helped them to not only meet compliance standards for their first clinical batch, but to do so within a span of just 2 months. Moreover, says Project Development Manager Christopher Thorne, “Sophisticated statistical approaches and the use of graphical tools in JMP helped us to earn our client’s trust.”
|
Process engineering, process development, stability, feasibility study, statistical process control, SPC, process validation, process verification, democratization of analytics, workflow, data management, collaboration, time savings, technology transfer, defect reduction, DOE, reproducibility, QbD, quality by design |
Christopher Thorne, Project Development Manager; Veronique Brianto, Validation Engineer; Damien Bonnet, Validation Engineer |
JMP |
Agilent Technologies, Bruker Corporation, Beckman Coulter, Bio-Rad Laboratories, Illumina, Roche, Lonza, Merck, Danaher, VWR International, PerkinElmer |
English |
| JMP Advocate Interview |
Dr. Georg Raming of Siltronic on how analytics enriches the work of a domain expert – and why resources from JMP can add value |
Siltronic |
Semiconductor, High-Tech Manufacturing |
Germany |
Dr. Georg Raming of Siltronic on how analytics enriches the work of a domain expert – and why resources from JMP can add value |
Analytics culture, culture transformation, career path, advocacy, resources, mentorship |
Georg Raming, Electrical Engineer |
JMP |
SUMCO, GlobalWafers, Virginia Semiconductor, Hemlock Semiconductor, 1366 Technologies, X-Fab Silicon Foundries, Zentrum Mikroelektronik Dresden AG, Samsung Semiconductor, Shin-Etsu, FlipChip International, Amkor Technology, Precision Flow Technologies |
English |
| Success Story |
Rapid innovation in COVID-19 diagnostics accelerated testing at a make-or-break moment in the pandemic
|
Imperial College London + Riffyn |
Diagnostics, Biotechnology, Pharmaceutical |
UK, USA |
Open-access high-throughput synthetic biology workflows managed from end to end within Riffyn Nexus enabled researchers to randomize and dynamically iterate experiments and take advantage of all the statistical power that JMP® has to offer. Riffyn’s JMP AddIn, explains senior scientist Zoey Herm, “can do in an afternoon what would have otherwise required a week or more of work for potentially less compelling results.” In just 9 weeks, researchers had developed and validated a novel qPCR diagnostic assay for SARS-CoV-2 that could process up to 1,000 samples within 24 hours. With its adaptability to a range of reagents and liquid-handling instrumentation systems, the assay was scaled to National Health Service (NHS) labs at the community level across the UK. |
COVID-19, diagnostic testing development, ROI, process development, iterative data processing, automation, workflow, synthetic biology, supply chain challenges, data visualization, design of experiments, DOE, reproducibility |
Michael Crone, MD, PhD; Zoey Herm, Senior Scientist |
JMP |
N/A |
English |
| Success Story |
Where machine learning and ecology collide, formerly threatened species are making a comeback
|
Karlsruhe Institute of Technology |
Academic, Ecology, Conservation |
Germany |
Researchers are working to develop algorithmic tools that will lower the barrier to entry for biologists with little prior experience dealing with big data. A key part of doctoral student Frederick Kistner’s solution is JMP, which provides a customizable, end-to-end platform for the Footprint Identification Technique (FIT) first developed by conservation biologists at WildTrack. |
Machine learning, AI, image data, ecology, FIT, footprint identification technique, WildTrack, conservation management, non-invasive monitoring, citizen science, data for good, Data for Green |
Frederick Kistner, PhD Student |
JMP |
N/A |
English |
| Success Story |
Milking the data for all its worth
|
Dairygold |
Consumer Products, Food Industry, CPG, Commodities |
Ireland |
Change agents refocused a prior Six Sigma program toward the goal of raising the analytics capability of the whole organization, regardless of individuals’ statistical expertise. To make this vision a reality, JMP is serving as an end-to-end process-enabling tool that can take on everything from exploratory analysis to machine learning and AI. |
Culture of analytics, analytics transformation, digital transformation, commodity, commodities, Six Sigma, AI, machine learning, training, quality engineering, process enablement, statistical process control, SPC, |
Kieran O'Mahony, Data Science and Analytics Manager |
JMP |
LIC, Norco, Lakeland Dairies, Milcobel, Unilever, Mondelez, Kraft |
English |
| Success Story |
At STMicroelectronics Shenzhen, building analytics capability is a key priority for growth
|
STMicroelectronics Shenzhen |
High Tech Manufacturing, Semiconductor |
China |
A tiered Six Sigma program and move to standardize around JMP® software at the leading semiconductor joint venture are driving large-scale improvements in efficiency, yield and sustainable development. Engineers across the organization have bid farewell to an empirical approach to problem solving and early wins – like the reduction of one manufacturing line’s defect rate by 40% – have helped build momentum for analytics transformation.
|
Six Sigma, analytics transformation, analytics culture, training, ROI, defect reduction, yield, workflow, process capability, CPK, quality engineering, root cause analysis |
Wu Ling, Deputy General Manager; Xiao Zhenglin, Organizational Excellence Training Manager; Li Mingjie, Power System Operations Manager; Sun Wentao, Quality Engineer |
JMP |
Cree, Delta Electronics, TE Connectivity, San'an Optoelectronics, ON Semiconductor, Fuji Electric, Silicon Labs, Taiwan Semiconductor Manufacturing Company, NXP Semiconductors, Semtech, Infineon, Renesas, Maxim Integrated, Analog Devices, AMD, Qualcomm, NVIDIA |
English, Traditional Chinese, Simplified Chinese |
| JMP Advocate Interview |
Intel’s Don Kent on what makes a mature analytics organization, the importance of mentorship and joining the “JMP family” at Discovery Summit |
Intel |
High Tech Manufacturing |
USA |
What makes a mature analytics organization, the importance of mentorship and joining the “JMP family” at Discovery Summit |
Analytics culture, culture transformation, career path, advocacy, Discovery Summit, training, mentorship |
Don Kent, Data Science Team Manager, Technology Development |
JMP |
NVIDIA, AMD, Qualcomm, Samsung Electronics, IBM, ARM, Maxim Integrated, NXP, Microchip, Asus, Broadcom |
English |
| JMP Advocate Interview |
Steve Hampton of PCC Structurals on transitioning from Minitab and why it’s so important to take advantage of the JMP resources for engagement and learning he calls an “immense value-add” |
PCC Structurals |
Manufacturing |
USA |
Transitioning from Minitab and why it’s so important to take advantage of the JMP resources for engagement and learning he calls an “immense value-add” |
Analytics culture, analytics transformation, analytics workflow, career path, advocacy, overcoming barriers, Minitab, Excel, STIPS, Discovery Summit, technical support, relationship with JMP organization |
Steve Hampton, Process Control Manager |
JMP, JMP Pro |
CPI Aero, Spirit AeroSystems, Magellan Aerospace, Triumph Group, Boeing, Airbus, Air Industries Group, LMI Aerospace, Ducommun, Embraer, Howmet Aerospace, Signicast, Hitchiner Manufacturing, Sigma Electric Manufacturing |
English |
| JMP Advocate Interview |
Statistician Kira Alhorn on how Gore derives business value from providing feedback and new feature ideas to JMP Development |
W. L. Gore & Associates |
Manufacturing |
Germany |
How Gore derives business value from providing feedback and new feature ideas to JMP Development |
Analytics culture, JMP Development, new feature wish list, Discovery Summit, career path, STIPS, advice for new users |
Kira Alhorn, Statistician |
JMP |
DUNMORE, RTP, Jessup, Zhongding, TSG Holdings, Holliston Holdings, Alpha Engineered Composites, CCI-GSF, Barrday, Omni, California Combining |
English |
| JMP Advocate Interview |
Self-described “analytics evangelist” Craig DePorter of Omya discusses why analytics enablement means learning more with less |
Omya |
Manufacturing |
Switzerland |
Self-described “analytics evangelist” discusses why analytics enablement means learning more with less |
Analytics culture, transformation, design of experiments, DOE, Discovery Summit, engagement, career path |
Craig DePorter, Head of Advanced Mineral Development |
JMP |
Rio Tinto, BHP, Imerys, Minerals Technologies, EP Minerals, Microgil, Imerys, AMI, Asbury Carbons, Gulf Coast Chemical, Ticinonline SA, Ingevity |
English |
| JMP Advocate Interview |
Procter & Gamble's Zhiwu Liang explains how nurturing a dynamic relationship with JMP Development helps the company get more from its investment in a software that is constantly being improved |
P&G |
Consumer Goods |
Belgium |
How nurturing a dynamic relationship with JMP Development helps the company get more from its investment in a software that is constantly being improved |
Analytics culture, JMP Development, analytics transformation, DOE, design of experiments, relationship with JMP organization, the Community |
Zhiwu Liang, Principal Statistician |
JMP |
Colgate-Palmolive, Church and Dwight, Unilever, Estee Lauder, Revlon, Coty, Elizabeth Arden, Reckitt Benckiser, Newell Brands, Clorox, Kimberly-Clark |
English |
| JMP Advocate Interview |
BIOTRONIK's Gerd Kopp talks advocating for analytics, overcoming internal hurdles and building a relationship with the JMP organization |
BIOTRONIK |
Medical Device |
Germany |
Advocating for analytics, overcoming internal hurdles and building a relationship with the JMP organization |
Analytics culture, analytics transformation, Discovery Summit, overcoming obstacles, JMP Development, career path |
Gerd Kopp, Quality Management and Reliability Statistician |
JMP |
Abbott, Boston Scientific, Medtronic, Trimedyne, StarFish Medical, Electromed, Sientra, Dexcom, iRhythm, Baxter |
English |
| JMP Advocate Interview |
John Szarka on JMP Pro, reproducibility and why being active in the JMP Community and Early Adopter program helps users at W. L. Gore get more from their investment in the software |
W. L. Gore & Associates |
Manufacturing |
USA |
JMP Pro, reproducibility and why being active in the JMP Community and Early Adopter program helps users at W. L. Gore get more from their investment in the software |
Analytics culture, transformation, JMP Pro, reproducibility, Early Adopter, new features wish list, STIPS, Discovery Summit, advice for new users |
John Szarka, Statistician |
JMP, JMP Pro |
DUNMORE, RTP, Jessup, Zhongding, TSG Holdings, Holliston Holdings, Alpha Engineered Composites, CCI-GSF, Barrday, Omni, California Combining |
English |
| Success Story |
Analytics enablement, a not-so-secret weapon
|
DuPont |
Chemical, High Tech Manufacturing, Semiconductor |
Taiwan |
A compulsory in-house Six Sigma training program based on JMP has accelerated the rollout of advanced analytics at the enterprise level.
By prioritizing the development of core analytics capability, DuPont Taiwan has optimized the value that can be extracted from its smart manufacturing facilities. The company’s dual investment in both technology and upskilling has become a cornerstone of DuPont’s competitive edge.
|
Analytics culture, Six Sigma, smart manufacturing, training, analytics enablement, process reliability, analytics capability, continuous improvement |
Miles Chan, Process Control Systems Manager; Ifrans Pang, Unit Manager; Vinson Wei, Run Plant Engineer; Plant Engineer; Post Skive Inspection Operation Leader
|
JMP |
Monsanto, PPG, FMC, Koch Industries, Outotec, Arkema, Kingspan, BASF, Celanese, Henkel, Croda International, DSM, Corning |
English, Traditional Chinese, Simplified Chinese |
| Success Story |
Statistical approaches to understanding prairie dog behavior is key to improved conservation outcomes
|
University of Arizona |
Ecology, Conservation, Academic Research |
USA |
Scientists are taking a new look at how statistics can help extract previously untapped insight from observational fieldwork, guiding conservation management decisions toward more effective long-term strategies.
Data from a combination of observational fieldwork and laboratory studies helps scientists create a detailed map of social structures within a prairie dog colony: sex, age, size, health, habitat, food and familial relationships. To help made sense of the data, behavioral ecologists use JMP, a statistical discovery software that simplifies repeated measures analysis, facilitates exploratory analysis and streamlines the mapping of complex social interactions. |
Ecology, conservation, animal behavior, fieldwork, exploratory data analysis, EDA, outliers, teaching, learning, research methods, academic, reproducibility, conservation management |
Jennifer Verdolin, Behavioral Ecologist |
JMP |
N/A |
English |
| Success Story |
At PPG, a fresh take on Six Sigma
|
PPG Industries |
Chemical, Manufacturing |
USA |
The democratization of statistical best practices compliments domain knowledge to speed innovation and deepen collaboration between PPG sites around the world. With JMP in hand, domain experts are empowered to adopt statistical best practices that boost efficiency and scientific reproducibility, regardless of their statistical skill level. A multitiered approach to analytics in turn frees up Six Sigma Black Belts and IT managers to focus on PPG’s most complex, value-adding challenges.
|
Culture of analytics, Six Sigma, reproducibility, analytics capability, JMP Pro, DOE, design of experiments, training, statistics upskilling, professional development, JMP resources, user community, collaboration across geographies |
Dave Sartori, Senior Data Scientist, and Kevin Gallagher, Staff Scientist |
JMP, JMP Pro |
Masco Corporation, Guardian Industries, Berkshire Hathaway, Benjamin Moore, AkzoNobel, 3M, Sherwin-Williams, Axalta, BASF, Hempel, Kansai Paint |
English |
| Success Story |
Scaling up from discovery to GMP
|
Adocia |
Pharmaceutical, Biotechnology |
France |
Adocia’s process chemistry group have turned to JMP to resolve data access and management challenges as well as to boost reproducibility via statistical methods like design of experiments and quality by design. The software’s wide-ranging functionalities enable optimization and streamline process transfer for Adocia’s innovative excipient, BioChaperone. In one example, scientists running custom designs in JMP were able to optimize a difficult crystallization process leading to the product’s successful manufacture at a hundred grams scale without defects. |
Process chemistry, GMP, reproducibility, clinical stage biotechnology, ICH guidelines, technology transfer, process knowledge, DOE, QbD, quality, design of experiments, reproducibility, CMO, contract manufacturing |
Thomas Cochet, Head of Process Chemistry |
JMP |
Eli Lilly, Novo Nordisk, Pfizer, Novartis, Sanofi, Alize Pharma, Merck, BMS, GSK, Abbott |
English |
| Success Story |
At the forefront of energy-efficient electronics, transformative tech relies on the transformative potential of data
|
Vishay |
Manufacturing, High Tech, Semiconductor |
Italy |
At Vishay, JMP streamlines data management and analysis into one self-service workflow. With JMP, engineers have code-free tools for modeling, design of experiments, data visualization and Six Sigma – as well as custom scripts that have standardized best practices. Management reports three key benefits of JMP. For one, the software has significantly decreased costs as a result of an 83% reduction in data processing time. Second, engineering talent is now more fully utilized, with individuals empowered to actively seek improvement opportunities in their data. And third, Ruo Redda reports that since implementing JMP, morale within the R&D lab has skyrocketed with an internal survey showing a boost in satisfaction among employees from 3.7 out of 10 to 9.7 out of 10. |
Analytics culture, JMP workflow, analytics workflow, cost savings, employee satisfaction, employee retention, dashboards, JSL, dashboard building, ROI, data managment, Query Builder |
Fabrizio Ruo Redda, Senior R&D Manager |
JMP, JMP Pro |
Yageo, STMicroelectronics, Renesas Electronics, Infineon, KEMET, Toshiba, Broadcom, ON Semiconductor, TDK, GlobalFoundries, Powerchip Technology, AVX Corporation, Electroverge, SiliconExpert Technologies, Murata, Panjit International, Diodes International, NXP |
English |
| Success Story |
Understanding – and advancing – the fine print
|
Xaar |
Manufacturing, High Tech |
UK |
When leadership at Xaar, an innovator in industrial printing technology, recognized the potential of a more data-centric engineering culture, Six Sigma champions turned that vision into a reality. JMP and JMP Pro deliver robust statistical capabilities that have enabled Xaar’s engineering teams to both save time on data queries and act more proactively to introduce cost-saving improvements.
|
Quality engineering, Six Sigma, Functional Data Explorer, FDE, DOE, design of experiments, experimentation, Definitive Screening Designs, analytics culture, Graph Builder |
Vasco Cachaco, Principal Six Sigma Process Champion |
JMP, JMP Pro |
Fujifilm Dimatix, Konica Minolta, Canon, Nikon, Hlp Klearfold, Duncan Print Group, Currie Group, American Carton, Memjet, Trident, Inca Digital Printers, Kornit Digital, EFI, Domino Printing Services, Inkjet |
English |
| Success Story |
Analytics upskilling transforms an organization on the move
|
Parker LORD |
Manufacturing, Chemistry, Automotive |
USA |
An initial trial of JMP enabled formulation chemists, working together with Six Sigma and quality engineering leaders, to dramatically reduce experimentation times and deepen process knowledge. A customized training course developed in partnership with SAS Education helped the Parker LORD R&D teams to gain the skills they needed to maximize the software’s value. In just 18 months, access to JMP – and JMP training from SAS Education – has accelerated a cultural shift toward fast-paced, data-driven, precise innovation.
|
Six Sigma, quality engineering, SAS Education, JMP Training, R&D, process engineering, time savings, cost savings, ROI, culture transformation, culture of analytics, DOE, design of experiments |
Tim Holtz, Process Engineering Manager, and Bernard Goguelet, Quality Leader |
JMP |
H.B. Fuller, Rpm International, tesa, AkzoNobel, Axalta, Ferro Corp, Henkel, Gcp Applied Technologies Inc., Masco, Sherwin-Williams, Sika, Nitto, Bostik, 3M, Dow Chemical, DELO Industrial Adhesives LLC, Mapei S.p.A, Stonhard, Scapa, Laticrete |
English |
| Success Story |
The technology for an energy-neutral future exists. Now it just needs to be manufactured at scale.
|
Heliatek |
Green Energy, Solar Panel Manufacturing |
Germany |
A custom-scripted dashboard developed in JMP uses an automated alert system to enable Heliatek’s fab operators to respond more quickly when processes exceed specifications. Process integration experts estimate that the alarm dashboard alone has improved yield by as much as 3% in pilot production.
|
Sustainability, sustainable energy, organics, solar energy, ROI, pilot manufacturing environment, process integration, dashboards, dashboard building, yield, alarm dashboard, scripting |
Torsten Weber, Process Integration Engineer |
JMP |
HelioVolt, Alta Devices, Sunways, SoloPower, Photowatt, Nanosolar, Cyrium Technologies, Konarka Technologies, PowerFilm Solar, NanoFlex, Ascent Solar, First Solar, Southwest Solar, Silicon Solar, Stion |
English, Japanese |
| Success Story |
Safety in numbers: Multifactorial optimization improves monitoring of PAH in foods
|
Technical University of Denmark |
Chemistry, Food Science |
Denmark |
Analytical chemists led by Alin Ionas are using design of experiments (DOE) with response-surface modeling in JMP to optimize the LC-APCI/QTOF analysis for the continuous monitoring of both the four marker PAHs and other relevant PAH analytes. A sequence of designed experiments on analytical standards helps explore the relationship between source parameters and PAH analytes, enabling the team to obtain an optimal response.
|
Chemistry, DOE, food science, food safety, food processing, contamination, PAHs, multifactorial optimization, LC-APCI/QTOF, APCI source parameters, response surface modeling, ROI, GC-MS, Custom Design, mass spectrometry |
Alin Ionas, Analytical Chemist |
JMP |
N/A |
English |
| Success Story |
Engineering biology: Synthace accelerates R&D by lowering barriers to automated experiments
|
Synthace |
Chemistry, Biology, Life Sciences, Pharmaceutical & Biotechnology |
UK |
By applying the principles of DOE, Synthace reduces experimentation time and makes biological research more reproducible. The company’s cloud based Antha platform integrates seamlessly with JMP. The system delivers fast, codeless programming of liquid handlers, visual execution previews and error-checking as well as user-friendly interfaces to plan and execute DOE campaigns and automated structuring and visualization of the experimental data and metadata.
|
Chemistry, biology, DOE, design of experiments, experimentation, lab automation, AI, engineering biology, reproducibility, optimal designs, multifactorial experiments |
Michael Sadowski, Head of Bioinformatics |
JMP |
Twist Bioscience, Desktop Genetics, Synpromics, International Stem Cell Corporation, EpiVax, Transgene, Sierra Oncology |
English |
| Success Story |
From the datasphere to decision
|
Seagate |
Technology, High Tech Manufacturing |
USA |
Leaders at the data storage solutions provider Seagate Technology encourage any employee who deals with data to use tools that enable robust analysis and exploration. JMP is a primary tool among those they recommend. JMP and JMP Pro are now an integral part of wide-ranging data analysis techniques, statistical process control, reliability analysis, experimental design and modeling. |
Statistical process control, SPC, reliability, DOE, design of experiments, modeling, data management, data silos, process knowledge, smart manufacturing, Industry 4.0, automation, AI, artificial intelligence, dashboards, scripting, manufacturing execution systems, Six Sigma |
Ted Ellefson, Managing Principal Engineer, Mechanical R&D |
JMP, JMP Pro |
Micron, Intevac, NETGEAR, Western Digital, SanDisk, SK Hynix, Samsung Electronics, Toshiba, Hitachi, Dell EMC, Motorola, ASUS, Cisco, Huawei |
English |
| Success Story |
A new way with statistics for seasoned professionals
|
NVIDIA |
Technology, High Tech Manufacturing, Semiconductor |
USA |
Many employees in the technology sector have extensive engineering backgrounds with somewhat limited experience in advanced data analytics. However, there is growing demand for statistical thinking among the world’s industry-leading employers. NVIDIA Management incorporated a free online statistics course, Statistical Thinking for Industrial Problem Solving (STIPS) into their in-work learning programs. |
STIPS, training, learning, industrial statistics, quality management, quality engineering, predictive analytics, comparison with Excel, data visualization, exploratory data analysis, Graph Builder |
Pete Cannon, Product Quality Engineering & Quality Management Systems Senior Director |
JMP |
Advanced Micro Devices, Intel, Xilinx, Broadcom, Qualcomm, Infor, Altera, ON Semiconductor, Samsung Electronics, IBM, ASUS, TSMC |
English, Japanese |
| Success Story |
A paradigm shift in cancer therapy
|
F-star Therapeutics |
Biotechnology |
UK |
Statistical approaches to experimentation open the door to the exploration of novel biology and much-needed innovation in advanced-stage cancer. Scientists say DOE in JMP has condensed what used to take 1 day into just 1 hour. Effective and powerful data analysis is saving time, and therefore also shortening drug development cycles.
|
Cancer research, oncology, immunotherapy, DOE, design of experiments, experimental design, ROI, time savings, R&D, reproducibility, data visualization, Definitive Screening Designs, DSDs, Profiler |
Jon Armer, Formulation Lead Senior Scientist |
JMP |
Bicycle, Tiziana, Crescendo Biologics, Immatics, Artios, Apexigen, Aileron, Oncoinvent, NovImmune, Kymab, Biothera, Idera Pharmaceuticals, AKESOgen, Akebia Therapeutics, AbbVie, Merck, Denali Therapeutics |
English |
| Success Story |
Automation takes data query directly to the field
|
North Dakota State University |
Education, Agriculture, Agricultural Technology |
USA |
To better manage accelerating flows of phenotypic, genomic, drone, and sensor data, data and pipeline managers in the Department of Plant Sciences at North Dakota State University sought a customizable statistical tool capable of extracting and running mixed model analysis on unbalanced data from trials across a range of locations and time periods. They selected JMP and used it to create the Ag Query Hub, or Ag.Q.Hub, an interactive add-in developed in JMP® Scripting Language.
|
Agriculture, ag tech, dashboards, dashboard building, JSL, customization, scripting, plant breeding, plant sciences, database query, mixed model analysis, automation, ROI, time savings |
Ana María Heilman-Morales and Tom Walk, Database Managers |
JMP |
Syngenta, BASF, Monsanto, Bayer, Corteva, Gowan, SePRO, Clariant, Novartis, Nestle |
English |
| Success Story |
Advancing machine learning from theory to practice
|
Sungkyunkwan University |
Education, Steel Manufacturing, Industrial Manufacturing |
Korea |
A team from the SKKU InfoScience Lab deploys machine learning applications in JMP to achieve substantial cost and time savings on behalf of industry clients. In one case, the team’s efforts saved preeminent Korean steel manufacturer POSCO hundreds of thousands of dollars per line in annual savings. By using JMP as an alternative to coding-intensive R or Python, Professor Jong-Seok Lee says the team accomplished in one week what would have otherwise taken one month to complete.
|
Machine learning, AI, artificial intelligence, ML, statistical analysis, steel manufacturing, POSCO, Samsung, Hyundai, LG, manufacturing AI, Industry 4.0, smart manufacturing, ROI, time savings, cost savings, process control, predictive modeling, comparison with R |
Lee Jong-Seok, Professor |
JMP |
Hyundai Steel, ArcelorMittal, Nippon Steel, Baosteel, AK Steel, Tata Steel, Nucor, Ryerson, Magnitogorsk Iron |
English |
| Success Story |
Breaking ground in genomic analysis
|
Bionano Genomics |
Medical Technology, Diagnostics |
USA |
Engineers use JMP to build predictive models, beginning by reducing all data quality metrics to those input variables identified as statistically impactful. Baseline models are then applied to subsequent data sets to streamline resource allocation. In one example, engineers consolidated a resource-intensive pipeline by modeling computational time for optical map assembly in JMP. Statistical approaches like this help Bionano Genomics speed innovation cycles and open the door to new diagnostic applications. |
Optical map assembly, genetic sequencing, DNA, genetics, genomics, medtech, predictive modeling, data quality, computational time, time savings, verification, validation, capability analysis, cost savings |
Pat Lynch, Director of Systems Engineering |
JMP |
Nabsys, PacBio, Genomic Vision, GenapSys, LaserGen, GnuBIO, Oxford BioMedica, Illumina, Agilent Technologies, Mettler-Toledo International, Bio-Rad Laboratories, GenomOncology, Azure Biosystems, Genomenon, doubleTwist, GENEMACHINES, Quanterix |
English |
| Success Story |
At Lonza, institutional analytics speed manufacturing process innovation
|
Lonza |
Pharmaceutical, Biotechnology |
Switzerland |
Scientists at Lonza have implemented statistical approaches to process optimization and R&D. JMP allows them to deploy complex design of experiments (DOE) strategies with its Custom Design platform and interactive data visualization features. In one example, a team at Lonza was able to increase overall yield by nearly a factor of two – an impressive result for a process in which scientists are often unable to make meaningful advances so quickly.
|
DOE, design of experiments, experimentation, Custom Design, process manufacturing, yield optimization, ROI, time savings, bioreactors, process knowledge, process optimization, data exploration, STIPS |
Andreas Trautmann, Process Expert |
JMP |
Patheon, Kemin, DSM, Barentz, Eastman, BTSA, Croda, Wacker, Ashland, Catalent, Bristol Myers Squibb, DuPont, Divis Laboratories |
English |
| Success Story |
With data detective work, forensic chemists hold polluters and arsonists to account
|
Chemistry Matters |
Chemical |
Canada |
Experts at Chemistry Matters use a variety of statistical tools in JMP to build a chemical profile from environmental samples. The platform’s interactive data visualization capabilities help communicate key findings to lawyers, judges, juries and environmental regulators so that they fully understand the nature and meaning of the forensic evidence. |
Forensics, forensic chemistry, expert witness, legal, lawyers, justice system, pollution, environmental contamination, data visualization, communicating with data, Graph Builder, chromatography, chemistry, mass spectrometry, exploratory data analysis, data exploration, principal components analysis |
Court Sandau, Forensic Chemist |
JMP |
|
English |
| Success Story |
Transformational technologies make the leap from the lab to the marketplace
|
M Ventures |
Finance, High Tech Manufacturing, Semiconductor |
Netherlands |
M Ventures (the strategic capital arm of Merck) looks for its portfolio companies to utilize statistically driven methods like design of experiments (DOE) to optimize experimentation and resource use. JMP is an accessible tool that, when in the hands of scientists and engineers, makes statistical methods like DOE a best practice. This story presents a view of DOE from executive leadership. |
DOE, technology transfer, commercialization, experimentation, data management, engineering, venture capital, start-ups, investment, finance, executive leadership |
Owen Lozman, Vice President, former Global New Platform R&D Director |
JMP |
|
English |
| Success Story |
At China’s premier pediatric hospital, evidence-based medicine means looking at the data
|
Beijing Children's Hospital |
Healthcare |
China |
At Beijing Children’s Hospital, interactive exploratory analysis, predictive modeling and visualization tools in JMP Pro not only eliminated the communication barriers between clinicians and statistical experts, but also provided invaluable scientific and technical support for the institution’s big data initiatives. |
Exploratory data analysis, data visualization, predictive modeling, JMP Pro, comparison with Excel |
Feng Guo Shuang, Director, Big Data and Engineering Research Center |
JMP Pro |
|
English, Simplified Chinese |
| Success Story |
Who’s a good dog? A statistical approach helps researchers put well-behaved canines to work.
|
Penn Vet Working Dog Center |
Academic |
USA |
A researcher at the University of Pennsylvania’s Penn Vet Working Dog Center is looking to behavioral analysis for insight by using JMP to perform a full retrospective analysis of data from training sessions in which durations and frequencies of certain observed behaviors were recorded. With the Prediction Profiler in JMP, she explores the influence of key variables on working dog success. |
Predictive modeling, academic research, comparison with R, comparison with SPSS, Prediction Profiler |
Jordan Gillespie, Graduate Researcher |
JMP |
|
English |
| Success Story |
Predicting the economic lifespan of medical equipment
|
Tsukuba Medical Center Hospital |
Healthcare |
Japan |
Clinical engineers use JMP to construct predictive models that allow them to proactively manage medical device maintenance and repair. An optimized plan based on the results of their data analysis proved to be the deciding factor in the organization’s budget acquisition. The risks of device malfunction during use have since decreased, keeping patients safer while also decreasing operations costs. |
Predictive modeling, hospital, clinical engineer, medical device, predictive maintenance, monitoring, equipment management, quality improvement |
Hideaki Kamijyou, Clinical Engineer |
JMP |
|
English, Japanese |
| Success Story |
Statistical thinking for a new generation
|
University of New Hampshire |
Academic |
USA |
To provide science and engineering students with an opportunity to learn the fundamentals of statistics, faculty at the University of New Hampshire are integrating Statistical Thinking for Industrial Problem Solving (STIPS), into course syllabi. STIPS not only offers students an interactive, self-paced study format, it familiarizes them with JMP, an industry-standard software. UNH Principal Lecturer Phil Ramsey says STIPS fills a critical gap in science and engineering instruction. |
STIPS, DOE, data mining, predictive analytics, statistical methods for quality and reliability, Six Sigma, engineering, teaching and learning statistics, problem solving, undergraduate and graduate education |
Phil Ramsey, Professor |
JMP Pro |
|
English |
| Success Story |
Exercising the body and mind
|
Nanjing Sport Institute |
Academic, Sports |
China |
Students at Nanjing Sport Institute now have the opportunity to use JMP and JMP Pro in the classroom to analyze and evaluate survey and experimental data sets. Because the software encourages trial and error, faculty believe it helps to promote statistical thinking and cultivate an appreciation for the scientific method. |
Teaching and learning statistics, exploratory data analysis, data visualization, statistical modeling, academic research, exercise science, physical fitness, undergraduate and graduate education, comparison with Excel, comparison with SPSS, Graph Builder |
Kai Xu, Professor |
JMP Pro |
|
English, Simplified Chinese |
| Success Story |
Designing excellence: Celltrion ensures quality in every aspect of its operations from R&D to manufacture
|
Celltrion |
Pharmaceutical & Biotech |
Korea |
Celltrion has made a commitment to extensive Quality by Design (QbD) applications in product development and process control. JMP is an indispensable tool. A QbD culture facilitates the consistent production of the high-quality, safe and affordable products upon which Celltrion has built its reputation for industry leadership. |
QbD, quality by design, biologics, regulatory compliance, R&D, experimentation, DOE, cost savings, data visualization, Prediction Profiler, JSL |
Choo MinJoo, Head of Chemistry, Manufacturing and Control Statistics, R&D |
JMP |
Samsung Biologics, Fujifilm Diosynth Biotechnologies, KBI Biopharma, Biogen, Lonza, Rentschler Biopharma, AGC Biologics, Innovent Biologics |
English, Korean |
| Success Story |
Sound innovation, sound statistical approach
|
USound |
High Tech Manufacturing, Semiconductor |
Austria |
Having developed an innovative application for MEMS technology in the acoustic market, Austrian start-up USound faces the challenge of a fast market launch while ensuring high quality in design and production. Engineers have adopted robust statistical resources for process control. They use JMP to build process knowledge, assess and monitor performance and refine production quality. |
Quality engineering, statistical process control, performance monitoring, shortening production cycles, Graph Builder, process knowledge, experimentation, quality improvement |
Markus Bartek, Director of Industrialization, Product Engineer |
JMP |
|
English |
| Success Story |
Statistical solutions for high-throughput science
|
Fujifilm Diosynth Biotechnologies |
Pharmaceutical & Biotech |
UK |
In an industry where design decisions have a significant impact on cost, scientists need more efficient approaches with which to optimize biopharmaceutical process development. JMP Pro is helping scientists at Fujifilm Diosynth Biotechnologies (FDB) to establish new data science proficiencies in support of the company’s broader business goals. From exploratory data analysis and dimension reduction with the tool’s Functional Data Explorer platform to design of experiments and visualization, JMP provides a strategic, cost-effective means for scientists to grow process knowledge in less time. |
Exploratory data analysis, dimension reduction, DOE, experimentation, data visualization, process knowledge, process optimization, biopharmaceutical process development, Functional Data Explorer, FDE, technology transfer, biologics, cell culture, process innovation, computational fluid dynamics, dashboards, comparison with R |
Somaieh Mohammadi, Staff Scientist |
JMP Pro |
Abzena, Cobra, Celonic, Rentschler Biotechnologies, Gallus Biopharmaceuticals, CMC Biologics, Paragon Bioservices, |
English |
| Success Story |
Intelligent manufacturing transforms what it means for products to be “Made in China” |
BOE |
High Tech, Semiconductor |
China |
Make robust statistical methods more accessible to engineers across BOE by deploying JMP, a software program whose interactive interface and emphasis on visualization coincide with the Industry 4.0 movement’s democratization of data. Train more advanced users in JMP for Six Sigma and promote a culture of data-driven decision making. [NOTE: This story is only available as a PDF. We do not have permission to publish it on our website.] |
DOE, quality engineering, experimentation, custom designs, Industry 4.0, smart manufacturing, display technology, data management systems, Six Sigma, quality and reliability |
Pengfei Rong, Department Chief, Quality Planning |
JMP Pro |
LG Display, AUO, Innolux, Cisco, LG Electronics, Samsung, Google, Intel, Topfoison, Samsung SDI, Japan Display, Lenovo |
English, Simplified Chinese, Traditional Chinese |
| Success Story |
A scientist’s guide to taste-testing
|
Symrise |
Chemical |
Germany |
Scientists use design of experiments in JMP Pro to develop a system that records results in a complex chain to identify potential breaks and failures and to account for them in future formulations. A more efficient and reliable fermentation process means the development cycle for new products can be shortened, enabling Symrise to bring new flavors and fragrances to market faster. |
DOE, experimentation, fermentation, R&D, formulation chemistry, shortening production cycles, data visualization, product development, Functional Data Explorer, FDE, reducing time to market |
Egon Gross, Master Technologist |
JMP Pro |
Firmenich, IFF, Givaudan, Sensient Technologies, T. Hasegawa USA, Cargill, Huabao International Holdings, Kerry, ADM, Flavorchem |
English, French, German |
| Success Story |
Exploratory analysis elevates innovation in biomarker science
|
Merck |
Pharmaceutical & Biotech |
Germany |
Biostatisticians use interactive features in JMP to perform robust statistical analyses in less time. The approachable interface of JMP makes it easy for statistical experts to collaborate with subject matter experts. By improving statistical rigor and reproducibility, the joint effort of biostatisticians and researchers speeds critical innovations in an emerging field of health care. |
Biostatistics, predictive modeling, quality engineering, reproducibility, biomarker research, oncology, R&D, exploratory data analysis, Variability Chart, comparison with R, reliability validation, regulatory compliance |
Angela Manginelli, Senior Scientist |
JMP |
AbbVie, Amgen, AstraZeneca, Bristol Myers Squibb, Johnson & Johnson, Eli Lilly, GSK, Novartis, Pfizer, Roche, Sanofi, Takeda, Novo Nordisk, Teva, Eisai, Zoetis |
English, French, German |
| Success Story |
Innovation in manufacturing begins with the right tools
|
Daeduck Electronics |
High Tech Manufacturing, Semiconductor |
Korea |
Management tasked engineers with reducing the scrap budget, shortening experimentation times and extending the way they work across the company with integrated analytics and automation. With JMP, engineers across the organization can take advantage of capabilities that drive improvement. Invest time in learning more about the software to expand its utility. JMP now plays a key role in tasks such as waste reduction, yield improvement and process optimization. “There are tasks that I can now perform in 90% less analysis time using JMP, which means that I can do so much more in the same workday than before,” says Manager SungSoo Lee. |
Six Sigma, DOE, experimentation, R&D, manufacturing, analytics integration, automation, manufacturing improvement, optimization, comparison with Minitab, Graph Builder, data visualization, reducing scrap, statistical modeling, Custom Design |
Lee SungSoo, Innovation Group Manager |
JMP Pro |
Delphi, Unimicron Technology, Samsung Electro-Mechanics, KCE Electronics, CMK, Nippon Mektron, Chin Poon Industrial, Meiko Electronics, Tripod Technology, Amitron |
English, Korean |
| Success Story |
Better batteries power the world’s electronics
|
ATL |
High Tech Manufacturing |
China |
Analytics integration via JMP enables engineers to easily apply statistical methods like reliability analysis to optimize all stages of the product life cycle from design and development to production and usage maintenance. JMP is a one-stop shop for a range of engineering activities at ATL including data collection, malfunction classification and risk prediction. Specialty applications like deterministic and probabilistic modeling in JMP have helped the company to reduce process variation on a broad scale. A team of Six Sigma experts say that since adopting JMP, they have significantly reduced variance. |
Quality engineering, Six Sigma, battery, electronics, reliability, DOE, experimentation, comparison with Excel, reducing variation, ROI, reliability forecasting, distribution platform, Graph Builder, R&D, data visualization, data integration |
Wang Guifu, Principal Engineer of Reliability Engineering; Henry Qiao, Six Sigma Deployment Manager |
JMP |
EaglePicher Technologies, ZincFive, Electric Power Systems, Gegadyne Energy |
English, Simplified Chinese, Traditional Chinese |
| Success Story |
Mapping new frontiers in the infrared
|
Lynred |
High Tech Manufacturing |
France |
Lynred’s fit-for-purpose, high-value-added spatial activity technologies – often engineered for a single use – require a significant investment in R&D. Costly prototyping and testing mean that engineers contend with unusually small sample sizes, motivating the need for robust statistical approaches. JMP and JMP Pro help Lynred’s engineers optimize quality, driving efficiencies from R&D to production and ensuring that each new model fulfills its brief. |
Quality engineering, infrared technology, thermal imaging, defense, product reliability, Functional Data Explorer, FDE, distribution analysis, physics, reducing scrap, yield improvement, R&D, Graph Builder, aerospace technology |
Augustin Cathignol, Principal Engineer for Product Reliability and Data Science |
JMP Pro |
|
English |
| Success Story |
Big data and the race to save coral reefs
|
Living Oceans Foundation |
Ecology & Conservation |
USA |
By increasing the level of statistical sophistication in their research, marine biologists can draw more substantive conclusions from coral reef data sets. JMP makes robust statistical modeling less daunting for non-statisticians. Through enhanced collaboration and data transparency, scientists are closer to developing new approaches aimed at best driving future coral reef conservation efforts. |
Predictive modeling, coral reefs, conservation, ecology, marine biology, climate change, academic research, statistical modeling, distributions, comparative analysis, exploratory data analysis, data visualization, predictive analytics, JMP Public |
Dr. Anderson Mayfield, Research Scientist |
JMP Pro |
|
English, Japanese |
| Success Story |
Learning the tools of a trade
|
Chalmers University |
Academic |
Sweden |
Chalmers University offers a range of courses aimed at exposing students to the kinds of data challenges they will encounter in their future careers. Faculty empower students to explore and experiment with JMP software, learning to apply statistical concepts to resolve real challenges and improvement opportunities. |
Teaching and learning statistics, manufacturing engineering, Six Sigma, problem solving, control charts, data visualization, undergraduate and graduate students, DOE, custom design, aerospace |
Peter Hammersberg, Professor |
JMP |
|
English |
| Success Story |
allnex on the outside. JMP® on the inside.
|
Allnex |
Chemical |
Austria |
Allnex seeks to drive continuous improvement and innovation in an industry demanding new solutions that are simultaneously higher-quality, more effective and lower-cost. To better understand the marketplace, experts must evaluate huge volumes of data from existing patents. A creative approach to analyzing text-based patent data, made possible in JMP Text Explorer. |
Text analysis, text mining, patents, Text Explorer, data mining, continuous improvement, competitive landscape reporting, patent landscape, unstructured data, Industry 4.0, DOE, experimentation, exploratory data analysis |
Markus Schafheutle, Knowledge Manager and Associate Research Fellow |
JMP |
Grace, Cabot, Wacker, BASF, Evonik, DSM, Hexion, AOC, Arkema, Solvay, Soudal, Hexion |
English, German |
| Success Story |
A data revolution in the creative world of marketing
|
Cranfield University |
Academic |
UK |
Faculty use JMP software in the classroom to encourage students to explore data and learn new ways to structure and resolve business challenges. Students who graduate from Cranfield with a Master of Science in Strategic Marketing enter the work force with valuable marketing analytics skills and the confidence to explore and model data. Educators hope that by boosting students’ data literacy, they will gradually bring better data practices to the field as a whole. |
Teaching and learning statistics, marketing analytics, business analytics, graduate education, customer experience, marketing measurement, customer relationship management, marketing leadership, The Community |
Stan Maklan, Professor |
JMP |
|
English |
| Success Story |
A recipe fit for the modern consumer
|
Kirin |
CPG |
Japan |
Kirin has turned to sensory analysis and other analytical tools to identify candidate drinks for the changing consumer marketplace. Scientists have identified the specific properties of liquor-based drinks that make them more palatable to certain segments of the population by using JMP Pro and JMP to perform multivariate analyses. |
Sensory analysis, beverage, beer, alcohol, multivariate analysis, risk analysis, proficiency analysis, validation, sensory profiling, taste testing, PLS analysis, regression models, statistical modeling |
Hideharu Odai, Senior Research Scientist |
JMP Pro |
Nestle, Mondelez International, Kellogg's, Hershey, Kraft Heinz, Mars, General Mills, Danone, PepsiCo, Unilever |
English, Japanese, German |
| Success Story |
At Virginia Tech, collaborative research leads to a better understanding of species ecology
|
Virginia Tech |
Ecology & Conservation, Academic |
USA |
Virginia Tech’s Statistical Applications and Innovation Group (SAIG) pairs graduate-level statisticians with scientists in other fields to address complex research questions collaboratively. SAIG consultants use JMP to make statistical analysis more approachable and interactive. Two Virginia Tech doctoral students, a statistician and an ecologist, explored out-of-lab nutritional data in JMP to identify biologically meaningful variables that help explain why wild lemurs consume soil. Their results aim to inform conservation management strategies affecting this critically endangered species. |
Teaching and learning statistics, graduate education, academic research, ecology, biology, conservation, data visualization, statistical modeling, data cleaning |
Jiangeng Huang, Graduate Student |
JMP |
|
English, Japanese |
| Success Story |
Customer-focused data for customer-centric processes
|
Diebold Nixdorf |
Services |
USA |
Exploratory data analysis and modeling in JMP help analysts better understand customer feedback, home in on process issues and identify opportunities for new customer-centric solutions. With JMP, Diebold Nixdorf’s business analysts quickly identify key correlations in process data that, when acted upon by the company’s line-of-business managers, bring quantifiable value through stronger customer relationships. In one case, analysts were able in a matter of minutes to identify an easily fixed invoicing problem as the root cause of the company’s low Net Promoter Score. |
Exploratory data analysis, statistical modeling, business analytics, Net Promoter Score, financial technology, business services, ROI, decision trees, data visualization, comparison with Excel |
Tyler Wise, Project Analyst, Global Business Services |
JMP |
NCR, GRG Banking, Fiserv, Glory, OKI, Toshiba, GK Software, Oracle, Aptos, Atos |
English, German |
| Success Story |
Structure and sustainability in manufacturing help shape the future of healthcare
|
Siemens Healthineers |
Medical Device |
Canada |
Engineers use JMP statistical software for Quality by Design and design of experiments to improve materials testing and analysis, optimize product- and process-related experiments and develop machine-learning applications for better overall product performance. |
Machine learning, DOE, experimentation, product optimization, process optimization, performance monitoring, product development, manufacturing, quality by design, QbD, diagnostic systems, comparison with Excel, data visualization, multivariate analysis, productivity gains |
Greg Mattiussi, Senior Director of Manufacturing |
JMP |
GE Healthcare, Boston Scientific, Medtronic |
English, Simplified Chinese, French, German |
| Success Story |
Racing toward the future with silicon – and JMP®
|
Polar Semiconductor |
High Tech Manufacturing, Semiconductor |
USA |
Polar Semiconductor was seeking to optimize efficiencies, manage costs, make the best use of equipment and data, and continually improve the manufacturing of innovative wafer solutions. Engineers apply JMP to automate and optimize the collection, preparation, analysis, reporting and workflows of engineering and process data. |
Quality engineering, process optimization, continuous improvement, manufacturing, automation, JSL, dashboards, data visualization, product quality, Six Sigma, DOE, experimentation, statistical process control, process capability, critical-to-quality performance, comparison with Excel |
Jim Gillard, Operations Master Black Belt, Senior Electrical Test Engineer |
JMP |
United Microelectronics Corporation, TSMC, SMIC, GF, X-FAB, Silterra, IBM, Intel, Samsung, Toshiba, Analog Devices, STMicroelectronics, Vishay, Cypress, ON Semiconductor, ASE, Nordic Semiconductor, Apple, Rohde & Schwarz, Xilinx, Anritsu, NI, Tektronix, Eu Yan Sang, Teledyne LeCroy, Fairchild Semiconductor, Altera |
English, German |
| Success Story |
QbD accelerates the move toward ever more innovative areas of research in pharmaceuticals
|
Daewoong Pharma |
Pharmaceutical & Biotech |
Korea |
Increasing in-house statistical knowledge with robust methods like quality by design (QbD) and design of experiments (DOE) gives researchers tools to adapt to changing market and regulatory demands. By harnessing large quantities of data and implementing JMP® to analyze them more effectively, Daewoong can increase the quality of its products and satisfy diverse regulatory requirements, expanding access to patients globally. |
QbD, quality engineering, DOE, experimentation, regulatory compliance, quality by design, R&D, increasing time to market, custom designs, discipline analysis |
Kim Kyoung-Yun, Director of Quality Assurance |
JMP |
Hanmi Pharm, Petrofac, Donga, ILDong, Samsung Biologics, Aker Solutions, AF Gruppen, Green Cross, Wood Group, Lg Life Sciences, DeepOcean, DNV GL, Ramboll, Subsea 7, KBR, Heerema Marine Contractors, EMCOR, Fluor, Genesis, Korea Central Daily, JGC |
English, Korean |
| Success Story |
On the road to Industry 4.0, one success leads to another
|
Saint-Gobain NorPro |
Manufacturing |
USA |
When engineers at Saint-Gobain NorPro noticed a decline in the quality of one supplier’s raw material, they needed to identify the root cause – and do so quickly. A quality control team deployed JMP Profiler to identify and resolve the issue. Quality engineers continue to use JMP to monitor quality, optimize manufacturing processes and facilitate communications. |
Quality engineering, ROI, JMP Profiler, manufacturing, process optimization, Industry 4.0, automation, data management systems, analytics culture, DOE, experimentation, predictive modeling, product quality, multivariate analysis, JSL, dashboards |
Jim Lamar, Quality Manager |
JMP |
AGC, Armstrong World Industries, Sisecam, NSG Group, Guardian Industries |
English, French, German |
| Success Story |
Innovation on the surface – and at the core
|
Atotech |
Manufacturing |
Germany |
JMP helps position Atotech to capture and analyze data on complex solution testing, empowering the company to deliver innovations that keep it at the forefront of the many industries it serves. Engineers' use of JMP for DOE helps them to rapidly and effectively respond to customer demand. |
DOE, design of experiments, experimental design, experimentation, Prediction Profiler, Custom Design, JSL, scripting, Graph Builder, Dashboard Builder, dashboards, data visualization |
Petra Schreier, Engineer |
JMP |
Element Solutions, DuPont, Coventya, Robert Burkle, Chemetall, MacDermid, Enthone
|
English, German |
| Success Story |
From semiconductors to semis: using data to drive the future of mobility
|
NXP |
High Tech Manufacturing, Semiconductor |
France |
JMP Pro tangibly improves solution design and manufacturing, Six Sigma training and other process-improvement efforts that help keep NXP at the forefront of the market. |
Six Sigma, quality engineering, root cause problem solving, process improvement, optimization, risk analysis, multivariate analysis, data visualization, DOE, experimentation, Six Sigma training, predictive modeling, semiconductor, variability analysis, partitioning, defect reduction, comparison with Minitab |
Corinne Bergès, Six Sigma and Root Cause Problem Solving Leader |
JMP Pro |
Analog Devices, Maxim Integrated, Infineon, Broadcom, Intel, Marvell, Nvidia, Texas Instruments, STMicroelectronics, Nordic Semiconductor, Renesas Electronics |
English, Simplified Chinese, Traditional Chinese, French, German, Korean |
| Success Story |
Product engineers at Ciena adapt to the globalization of manufacturing
|
Ciena |
Telecommunication & Utilities, Manufacturing |
Canada |
The implementation of robust yet user-friendly statistical software has allowed telecommunications supplier Ciena to collate large quantities of data and provide new manufacturing insights that ultimately drive product improvement. Engineers at Ciena stay on top of an increasingly global manufacturing environment by using data to build process knowledge, boost consistency and identify previously unknown areas for improvement. |
DOE, experimentation, manufacturing, supply chains, technology transfer, process optimization, variability gauge charts, ROI, quality engineering, quality monitoring, suppliers, product quality, working across geographic distances, text analysis, Text Explorer, unstructured data, text mining, data mining, data management systems |
David Seniuk, Senior Product Engineer |
JMP |
Huawei, Nokia, Cisco, Juniper Networks, ZTE, Infinera, ADVA, Acacia, Ntt Electronics, Inphi, Ericsson, Lenovo, ADTRAN, Zayo |
English |
| Success Story |
New statistical monitoring tools optimize the drug development pipeline
|
NNE & Ferring |
Pharmaceutical & Biotech |
Denmark |
Pharmaceutical consultancy NNE partners with leading clients like Ferring Pharmaceuticals to design and implement custom centralized statistical monitoring programs that meet the unique requirements of each of the company’s new Phase 2 or 3 drugs. JMP Clinical enables NNE to roll out scripted applications and dashboards that streamline workflows. |
Statistical monitoring, clinical trials, regulatory compliance, life sciences, consultant, data quality improvement, compliance, improving time to market, custom centralized statistical monitoring program, Phase 2 and Phase 3 trials, comparison with R, comparison with Python |
Egbert A. Van Der Meulen, Senior Director of Biostatistics |
JMP Clinical |
Shire, Pfizer, Merck, Serono, Culturelle, AstraZeneca, Abbott, PendoPharm, Leo Pharma, Drfalkpharma, Genentech, GSK, Novo Nordisk, Azure Biotech, Afaxys, Ipsen |
English |
| Success Story |
Machine learning drives innovation in high-tech manufacturing
|
SK Hynix |
High Tech Manufacturing, Semiconductor |
Korea |
Engineers use JMP to create machine learning algorithms that can expedite the use of data in manufacturing processes. Standardize the use of JMP to scale up efficiencies that have the potential to affect the whole organization. In addition to widespread time savings, SK Hynix has realized intra-company synergies with the rollout of new methods and a software toolkit that starts with JMP. The further development of proprietary technologies has expanded the potential impact of machine learning-based operations. |
Machine learning, DOE, experimentation, process optimization, manufacturing, semiconductor, time savings, deep learning, statistical process control, data visualization, R&D |
Ju YongHan, Head of Data Innovations |
JMP |
SanDisk, Micron, Seagate, Samsung, Toshiba, Western Digital, LaCie, Sony, Spansion, Kingston, ICS Electronics, Hughes Circuits, Artesyn Embedded Technologies, Microsemi |
English, Simplified Chinese, Japanese, Korean |
| Success Story |
Data visualization can help standardize pharmaceutical quality control
|
Menarini |
Pharmaceutical & Biotech |
Italy |
Technicians use JMP to model experiments that cut testing periods while remaining within regulatory parameters. Experiments that test for components affecting drugs’ shelf life can now be run in 30 days, rather than the previous benchmark of six months. |
Quality engineering, formulation, DOE, experimentation, product quality, quality control, time savings, ICH guidelines, continuous improvement, data visualization, Fit Model |
Paolo Nencioni, Formulation Development Technician |
JMP |
Bracco, Chiesi, Zambon, Angelini, RSA, Mallinckrodt, Teva Pharmaceuticals, Bayer, Abbott, LifeScan, F. Hoffmann-La Roche |
English, Italian |
| Success Story |
Robust processes catalyze new business opportunities
|
Johnson Matthey Biocatalysis |
Pharmaceutical & Biotech, Chemical |
UK |
Scientists combine design of experiments (DOE) with data visualization and analysis in JMP to help select which strains to scale up, establish scalable processes and enable production of commercially viable enzymes. By augmenting automated experimentation with DOE in JMP, scientists in the bioprocessing group have reduced attrition in catalyst transfer and expanded screening operations. This approach has played a critical role in the scaling up of Johnson Matthey’s biocatalysis business. |
DOE, experimentation, automation, reproducibility, biology, technology transfer, manufacturing, scaling-up, automated experimentation, bioprocessing, biocatalysis, chemistry, chemical transformation, enzymes, process optimization, Graph Builder, comparison with Excel |
Andrew Kaja, Bioprocessing Team Leader |
JMP |
BASF, Umicore, Haldor Topsoe, Clariant, Albemarle, Heraeus, Cambrex, Hovione |
English |
| Success Story |
How to reinvent the wheel – or something even older
|
Samson Rope |
Manufacturing |
USA |
Samson Rope is responding proactively to new market opportunities with an innovative R&D program accelerated by advanced analytical methodologies in JMP. Engineers maintain consistent high-quality performance standards by using process data to drive decision making. JMP has provided Samson with invaluable new process knowledge. Samson engineers say JMP has helped catalyze a culture change within the organization; from engineers to supply chain personnel to operators, everyone is now contributing to continuous improvement. |
DOE, experimentation, quality engineering, process optimization, process knowledge, R&D, comparison with Minitab, process capability, continuous improvement |
Greg Mozsgai, R&D Manager, Quality Process Engineer |
JMP |
Yale Cordage, TEUFELBERGER Fiber Rope, DSR, Bridon International, Donaghys, Marlow Ropes, YCI, USA Rope And Recovery, Orion Ropeworks, Cortland, WireCo WorldGroup, BC Wire |
English |
| Success Story |
Analytics for the win
|
Houston Astros |
Sports |
USA |
An analytically minded front office working in tandem with astute scouting talent to discover practical insights; a forward-thinking coaching staff prepared to embrace data in on-field decision making. The Houston Astros went from losing more than 100 games for three years in a row to being crowned World Series champions, proving that analytics, no longer a novelty, is now “table stakes” in baseball. |
Sports analytics, statistical modeling, baseball, MLB, sabermetrics, data visualization |
Sig Mejdal, Special Assistant to the General Manager |
JMP |
MLB Teams |
English, Japanese, Korean |
| Success Story |
Data detectives fight falsification in clinical trial reporting
|
Roche |
Pharmaceutical & Biotech |
UK |
Statisticians use advanced statistical algorithms in JMP Clinical to identify anomalies in clinical trial data, taking corrective action before fabricated data affects study outcomes. Statistically sound drug submissions have helped Roche to secure first-to-market advantages, patents and exclusivity licenses, as well as to avert regulatory delays that might otherwise cost as much as $6 million to $15 million per drug per day. |
Clinical trial monitoring, clinical trials, regulatory submissions, compliance, FDA, EMA, data integrity, data cleaning, data visualization |
Chris Wells, Team Lead, Centralized Statistics Monitoring Group |
JMP Clinical |
Bayer, Abbott, AbbVie, Amgen, AstraZeneca, Bristol Myers Squibb, Johnson & Johnson, Eli Lilly, GSK, Novartis, Pfizer, Roche, Sanofi, Takeda, Novo Nordisk, Teva Pharmaceuticals, Eisai, Zoetis |
English, German |
| Success Story |
Manufacturing data drives a laser focus on innovation
|
Coherent |
High Tech Manufacturing |
USA |
Industry demands for lower costs and higher quality require innovative and “lean” approaches to laser production. JMP allows engineers to manage large data sets and apply statistical methods to all aspects of the manufacturing process, proactively identifying and addressing issues. With the comprehensive, user-friendly features of JMP, stakeholders can make data-driven decisions and pursue increased efficiency. |
DOE, experimentation, lean manufacturing, Six Sigma, continuous improvement, performance optimization, quality engineering, lasers, optics, physics, yield improvement, data visualization, reducing scrap, ROI |
Melisa Buie, Director of Operations |
JMP |
IPG, MKS, Lumentum, NKT Photonics, Newport, Edmund Optics, Ophir Optronics, Cymer, Energetiq, TRUMPF |
English, German, Korean, Japanese |
| Success Story |
Preparing students for quality careers in pharma
|
De Montfort University |
Academic |
UK |
De Montfort University offers students the opportunity to learn from pharmaceutical industry experts through an innovative program in applied Quality by Design. JMP empowers De Montfort to collect and organize research data, apply visualization and analysis, and deliver essential QbD training to students who will graduate with valuable industry-ready skills. |
QbD, quality by design, graduate education, data visualization, industry careers, pharmaceutical development, DOE, continuous verification, JMP Projects, dashboards |
Walkiria Schlindwein, MSc program leader |
JMP |
|
English, French |
| Success Story |
A leader in pain relief overcomes its own growing pains
|
Johnson Matthey Fine Chemicals |
Pharmaceutical & Biotech |
UK |
Engineers use statistics to optimize processes and increase yield; JMP helps them to identify and resolve potential problem areas in new operational systems before product quality is compromised. Johnson Matthey’s manufacturing operations are now a model of the JM vision; an inspired new approach to production is enabling the company to meet the growing demand for high-quality pain medications. Formulations containing Johnson Matthey’s active ingredients enhance the lives of the millions of people now living with pain. |
Six Sigma, quality engineering, manufacturing, DOE, experimentation, resolving production challenges, ROI, increasing yield, continuous improvement, improving efficiency, process improvement, dashboards |
David Payne, Site Director |
JMP |
BASF, Umicore, Haldor Topsoe, Clariant, Albemarle, Heraeus, Cambrex, Hovione |
English, Simplified Chinese, Korean |
| Success Story |
Advancing science literacy one algorithm at a time
|
Science Buddies |
Non-Profit |
USA |
An online personalized learning tool, developed using JMP, helps students find the perfect science fair project. JMP enables Science Buddies to work with and visualize the gigabytes of data behind the Topic Selection Wizard that’s leading thousands of students to engage with science in new and meaningful ways. |
Statistical modeling, data visualization, elementary education, science literacy, comparison with Excel, Sammon mapping, 3D scatterplot, STEM |
Kenneth Hess, President & Founder |
JMP |
|
English |
| Success Story |
Chemical attraction: JMP® and DOE team up for better chemistry
|
Anatune |
Chemical |
UK |
Anatune is a leading provider of robotic solutions for chemical analysis. JMP helps the company perform the sophisticated analytics that set it apart from the competition. By using JMP to run multivariate experiments, Anatune has shortened development time by 50 percent. These efficiencies – and the more elegant chemistry solutions that come of them – enable Anatune to better serve its customers with market-leading automated chemical-analysis solutions. |
DOE, experimentation, robotics, automation, chemistry, ROI, time savings, reproducibility, chemical analysis, method development, process development, method optimization, multivariate experiments, GC-MS, time savings |
Camilla Liscio, Applications Chemist |
JMP |
Sepax Technologies, Davidson Analytical Services, Hichrom, Repligen, GS-Tek, Kinesis, ImmunoGen, MacroGenic, Exelixis |
English, Korean |
| Success Story |
‘Jam sessions’ democratize data-driven thinking
|
Telefonica |
Telecommunication & Utilities |
Germany |
As the explosion of big data continues to transform business, marketers must think creatively about what they can do with data to both monetize information and add value for the consumer. Marketers at Telefonica use JMP to extract actionable insight from any given dataset – whether that be external data like weather reports or price information, or internal data like service usage patterns – to narrow the gap between data and decision. |
Marketing analytics, data visualization, brainstorming, consumer research, market research, culture of analytics, culture transformation, Graph Builder, comparison with SPSS |
Alfredo López Navarro, Knowledge Manager |
JMP |
BT Group, Vodafone, Telenor, America Movil |
English, French, German, Korean, Spanish, Portuguese |
| Success Story |
Innovations in clinical research offer opportunities and challenges
|
Almirall |
Pharmaceutical & Biotech |
Spain |
Almirall built a new data management standard that has dramatically streamlined data and medical monitoring and regulatory compliance across a network of study partners in Europe and the US. Clinical trial managers use JMP Clinical to implement targeted data review approaches that address regulatory requirements and ensure patient safety. Global data governance standards have helped Almirall grow efficiency across its study teams while also relieving the regulatory burden of reporting in the face of increasingly stringent requirements. Integrated data management plays a key role in enabling the support of Almirall strategies to expand into other markets. |
Clinical trial monitoring, clinical trials, regulatory submissions, compliance, FDA, EMA, data integrity, data cleaning, data visualization, data management systems, data review, data quality, regulation, validation, risk-based management, Notes, SDTM data, project development |
Diego Herrera, Head of Global Data Management and Project Information, International Clinical Trial Manager |
JMP Clinical |
Grifols, Octapharma, Ferrer, Bayer, Fresenius, Roche, Baxter, Haemonetics, CSL, Novo Nordisk, Jazz Pharmaceuticals, Hikma Pharmaceuticals, Bausch Health Companies, BioDelivery Sciences International |
English, French, Korean |
| Success Story |
A launchpad for young scientists propels them to success in industry careers
|
University of Oregon |
Academic, High Tech Manufacturing, Semiconductor |
USA |
The University of Oregon’s Master's Industrial Internship Program produces industry-ready graduates who can hit the ground running in real-world jobs thanks to their mastery of industry-relevant coursework. Students focus on honing skills valued highly by the industry, from practicing design of experiments to mastering JMP software, an industry favorite. |
DOE, experimentation, industry careers, engineering, graduate education, graduate students, internship, semiconductor, photovoltaic, Los Alamos National Laboratory, ROI, time savings, x-ray tomography |
Stacey York, Director of the Master's Industrial Internship Program |
JMP |
|
English |
| Success Story |
Innovating like the customer’s well-being depends on it
|
Coloplast |
Medical Device |
Denmark |
Engineers apply design of experiments techniques in JMP to reduce costs, accelerate processes and ensure the highest possible product quality. Boost efficiencies by empowering operators to evaluate and process data themselves with the help of JMP. From engineers to plant operators, R&D teams now capture and analyze data more efficiently and effectively than ever before, enabling Coloplast to get its newest medical innovations on the market and in the hands of patients in need. |
DOE, experimentation, quality engineering, process optimization, process knowledge, R&D, time savings, cost savings, process development, Six Sigma, JMP Profiler, data visualization, communicating to management, product innovation |
Lise Isachsen, Senior Process Specialist |
JMP |
ConvaTec, 3M, Derma Sciences, B. Braun, Sanofi Genzyme, Molnlycke, Medtronic, Bristol Myers Squibb, Beiersdorf |
English, French, German |
| Success Story |
Text mining revolutionizes a 24/7 customer support network
|
Oshkosh Corporation |
Manufacturing |
USA |
Oshkosh Corporation uses free-form service call records to systematize technical support operations and prioritize engineering improvements. Engineers use JMP Pro to mine unstructured text data from support calls, identifying common problems and matching sources of malfunction with verified solutions that have proven successful in the past. With an ever-growing repository of maintenance data that can be deployed to troubleshoot recurring issues, Oshkosh’s 24/7 global service providers are now able to proactively resolve service calls as they come in. |
Equipment performance optimization, service calls, customer support, unstructured data, text mining, data mining, improving customer service, Text Explorer, free-form data, continuous improvement, data visualization, Graph Builder |
Ron Zhang, Senior Chief Engineer |
JMP Pro |
Genie, SkyJack, Haulotte, AICHI Corporation, JCB, Manitou, Merlo S, Mercedes-Benz, Navistar, Lockheed Martin |
English, Korean |
| Success Story |
Mitigating the environmental fallout of a nuclear era
|
CEA Marcoule |
Energy, Chemical |
France |
An R&D scientist looks to design of experiments and other statistical methods to speed important research in nuclear waste conditioning. |
DOE, experimentation, glass formulation, vitrification, nuclear waste disposal research, material performance, chemistry, R&D, cost reduction, Mixture Design, Graph Builder, JSL, scripting |
Damien Perret, Research Scientist |
JMP |
|
English, German, French |
| Success Story |
Statistics are a slam dunk for Davidson
|
Davidson College |
Sports, Academic |
USA |
Students involved in Cats Stats, Davidson’s one-of-a-kind sports analytics group, sift through the numbers to offer coaches important insight – from lineup efficiencies and shot prediction to personnel scouting. JMP provides a user-friendly interface that makes data exploration and visualization easy. Davidson’s students have honed their analytical skills while simultaneously providing real-world advice to the college’s athletics program; several students have since gone on to sports analytics careers in the professional leagues. |
Sports analytics, undergraduate education, basketball, data visualization, March Madness, NCAA, bivariate fit, teaching statistics |
Tim Chartier, Professor |
JMP |
|
English |
| Success Story |
At Oklahoma State University, analytics links business graduates with fulfilling careers in industry
|
Oklahoma State University |
Academic, Business |
USA |
A unique business analytics master’s program takes a cue from industry partners to teach students about the real-world applications of data science. Faculty use JMP in the classroom to introduce students to statistical principles while also familiarizing them with a tool used widely by industry partners. |
Business analytics, graduate education, learning statistics, data mining, marketing, business operations, internship, MBA |
Goutam Chakraborty, Professor |
JMP |
|
English |
| Success Story |
Data scientists build efficiency into electric utility construction
|
Valard Construction |
Telecommunication & Utilities |
Canada |
Valard Construction uses dynamic JMP tools to optimize the productivity of construction crews. Data scientists use data models in JMP to identify areas for improvement after systematically tracking and evaluating construction crew productivity; roll out optimizations to other parts of the company. They are helping to reduce overall labor costs and project time with its data-driven labor force optimization strategy; the team continues to develop models addressing other challenges across a range of construction projects. |
Labor force optimization, productivity optimization, construction, labor force modeling, data cleaning, data visualization |
Serguei Roupassov, Data Scientist |
JMP |
Yonkers Electricity, Wildcat Electric Supply, Electric Power Engineers, NEI Electric Power Engineering |
English, Korean |
| Success Story |
Robots speed innovation in engineering biology
|
London DNA Foundry |
Pharmaceutical & Biotech |
UK |
To deepen the statistical power of scientific research, replication is essential but time-consuming, particularly without a framework to guide the approach. The London DNA Foundry unlocks the power of automated experimentation with design of experiments in JMP. |
Automation, DOE, synthetic biology, experimentation, technology transfer, robotics, time savings, cost reduction, reproducibility, Custom Design, biologists |
David McClymont, Head of Automation |
JMP |
|
English, Simplified Chinese, French, German, Korean |
| Success Story |
A new ecosystem for commercializing biology research
|
SynbiCITE |
Pharmaceutical & Biotech |
UK |
Statistical analysis brings discipline to state-of-the-art research at Imperial College’s synthetic biology accelerator SynbiCITE. SynbiCITE uses JMP to deliver a systematic approach to experimentation, based on a robust statistical framework combined with cutting-edge automation technology in the London DNA Foundry, to help research scientists achieve the data quality necessary to validate and scale successful commercial applications. |
Automation, DOE, experimentation, start-ups, synthetic biology, entrepreneurship, biology, biologists, robotics, reproducibility, Imperial College, QbD, quality by design, data visualization, executive leadership perspective |
Stephen Chambers, CEO |
JMP |
|
English, Simplified Chinese, French, German, Korean |
| Success Story |
A data revolution in marketing takes creativity to a new level
|
J. Walter Thompson |
Consumer & Market Research |
Singapore |
Brand agency J. Walter Thompson drives accountability, engagement and sales with JMP Pro. An effective results dashboard allows clients to visualize the data, the reach of their content, and conversion rates, all measured accurately but still easily digestible. |
Marketing analytics, data visualization, consumer research, market research, Graph Builder, advertising, sales, social media, sales strategy, digital marketing, branding, dashboards |
Huw Davis, Data Analytics Lead |
JMP Pro |
McCann Worldgroup, Leo Burnett, BBDO, Ogilvy, Publicis Groupe, FCB , Weber Shandwick, Grey Group, Mullen Lowe Lintas Group |
English, Simplified Chinese, French, German, Japanese, Korean |
| Success Story |
Finding efficiencies in rubber formulation using statistical analysis
|
Bridgestone |
Manufacturing |
Japan |
Bridgestone sought to create efficiencies in product development using new and historical data; design more functional experiments for complex data sets. Managment rolled out JMP across the organization, using data to develop new, high-performance rubber formulations and optimize production processes for Bridgestone tires. |
DOE, rubber formulation, experimentation, product development, productivity savings, product optimization, shortening development cycles, method development, R&D, mixture formulation, Graph Builder |
Taku Yamamoto, Engineer, Evaluation Method Development |
JMP |
Michelin, Goodyear, Continental, Yokohama, Cooper Tire, Hankook Tire, Pirelli |
English, Simplified Chinese, Japanese, French, German, Spanish, Portuguese |
| Success Story |
Business-minded scientists refine the science – and strategy – of research and development
|
Perrigo |
Pharmaceutical & Biotech |
USA |
Perrigo reduces product variability and other inefficiencies by growing the use of statistical analysis in experimentation and testing. JMP makes it easy for scientists across the organization to augment processes with quality by design methods. |
Quality control, QbD, quality by design, biostatistics, R&D, formulations, variability, DOE, experimentation, productivity gains, efficiency |
Rob Lievense, Research Fellow, Global Statistics |
JMP |
Taro, Arbor Pharmaceuticals, Merz Pharma, Mylan, Allergan, Jazz Pharmaceuticals |
English, Simplified Chinese, French, German, Korean, Spanish, Portuguese |
| Success Story |
Statistical methods, vital for an ‘engineering world’
|
ASM International |
High Tech Manufacturing, Semiconductor |
Netherlands |
Engineers seek to further develop and improve data gathering and analysis techniques, processes and frameworks to better understand both product and processes across all facets of a dynamic high-tech semiconductor manufacturing supplier. ASM sees great results in regard to efficiency and effectiveness: “We have a much deeper understanding and are able to work much faster thanks to JMP (software)’s visual approach to statistically backed data analysis.” |
Manufacturing, continuous improvement, semiconductor, process improvement, product improvement, efficiency, R&D, DOE, experimentation, testing, Fit Model, time savings |
Paul Deen, Statistical Methods Program Manager |
JMP |
Applied Materials, Lam Research, TEL, ASML, Modutek, Espec, Axcelis |
English, Simplified Chinese, Traditional Chinese, French, German, Italian, Japanese, Korean |
| Success Story |
Fine-tuning the tools of quality health care
|
Roche |
Pharmaceutical & Biotech |
Switzerland |
Roche's engineers use a wide range of JMP tools to expedite research by optimizing processes and enhancing productivity. |
Quality control, process development, DOE, experimentation, diagnostic biosensors, ANOVA, regression, Query Builder, performance, productivity gains, statistical process control, comparison to Excel, Graph Builder, data visualization |
Raghavendran Swaminathan, Senior Process Development Engineer |
JMP |
Bayer, Abbott, AbbVie, Amgen, AstraZeneca, Bristol Myers Squibb, Johnson & Johnson, Eli Lilly, GSK, Novartis, Pfizer, Roche, Sanofi, Takeda, Novo Nordisk, Teva Pharmaceuticals, Eisai, Zoetis |
English, Simplified Chinese, French, German, Korean |
| Success Story |
Crop science for the modern world
|
Syngenta |
Agriculture, Chemical |
UK, Switzerland |
Biotechnology giant Syngenta brings science to the age-old art of agronomy with cutting-edge statistical methods and sustainable technologies. Scientists deploy analytical decision making strategies, from design of experiments to quality control and process reliability. They use JMP to build compelling models; thereby gaining buy-in from local managers formerly reliant on intuition-based reasoning. |
Automation, DOE, experimentation, formulation, formulation chemistry, agribusiness, crop protection, robotics, agrochemical, process analytics, productivity gains, time savings, R&D, quality, data visualization |
David Barnett, Senior Formulation Chemist; Bruyn Ouboter, Global Measurement Science and Process Performance Lead |
JMP |
Monsanto Company, BASF, Dow AgroSciences, Bayer, DuPont Pioneer |
English, French, German, Spanish, Portuguese |
| Success Story |
One very SMART approach to patient safety
|
Janssen |
Pharmaceutical & Biotech |
USA |
Janssen Research & Development surveillance physicians are proactively surveilling medicinal products to detect and prevent potential drug safety risks. An array of JMP features make Janssen Research & Development’s Signal Management for Adverse Events in Real Time an easily accessible tool of exploration. |
DOE, experimentation, adverse events, Graph Builder, data visualization, Application Builder, Text Explorer, text mining, data mining, JSL, scripting, dashboards, comparison with Excel |
Peter Mroz, Senior Statistical Programmer, R&D |
JMP |
Bristol Myers Squibb, Crucell, Novartis, Makscientific, AGY, Apricus, Merck, Eli Lilly, Boehringer Ingelheim, Pfizer |
English, French, German |
| Success Story |
Worldwide wildlife conservation begins in the backyard
|
North Carolina Museum of Natural Sciences |
Ecology & Conservation |
USA |
Biologists team up with citizen scientists to build an important digital archive of mammal population distribution. With the help of members of the public, they collect wildlife data with motion and heat-sensitive camera traps. JMP helps to prepare and process the huge volume of data that is generated by this global effort. |
Citizen science, image data, biology, multivariate analysis, distributions, PCA, principal components analysis, comparison with R, academic research, ecology, statistical modeling |
Arielle Parsons, Ecologist |
JMP |
|
English, Japanese |
| Success Story |
One quality imperative, many complicating factors
|
Ono Pharmaceutical |
Pharmaceutical & Biotech |
Japan |
A statistical approach helps Ono Pharmaceutical build quality controls directly into manufacturing methods. Researchers used JMP to identify factors that affect product quality characteristics. Equipped with a better understanding of these factors and their interactions, Ono Pharmaceutical incorporated quality measures directly into the manufacturing process. |
Quality control, manufacturing, ICH guidelines, QbD, quality by design, DOE, experimentation |
Tatsushi Murase, Chemical Process R&D Research Scientist |
JMP |
Sumitomo Dainippon Pharma, Astellas Pharma, Shionogi & Co., ALTANA Pharma, Jazz Pharmaceuticals, Lilly |
English, Simplified Chinese, Japanese |
| Success Story |
To succeed, hire the right people. To find them, look at the data.
|
Septeni Holdings |
Human Resources |
Japan |
A data-driven human resource strategy is the key to increasing employee retention and performance. Predictive modeling has helped identify important trends in employee performance that now inform personnel retention strategy. By matching employees with working groups where they are most likely to succeed, Septeni Holdings reduced overall turnover rates. The company now uses JMP to analyze a wide variety of employee development and performance data. |
Human resources strategy, business operations, business analytics, predictive modeling, employee development, comparison with Excel, human capital, workforce recruitment |
Tatsuya Shindo, Human Resources Director |
JMP |
|
English, Japanese |
| Success Story |
A shining example of expert precision
|
OLEDWorks |
Manufacturing |
USA |
OLEDWorks capitalizes on the design of experiments capabilities of JMP to refine its delicate processes. The company has produced the first organic light-emitting diode lighting panel ever manufactured in the United States. |
DOE, experimentation, LED technology, design of experiments, Definitive Screening Designs, DSDs, multivariate analysis, PCA, principal components analysis, reliability, Prediction Profiler, comparison with Minitab, R&D |
David Lee, Director of Quality and Reliability |
JMP |
|
English |
| Success Story |
A winning design of experiments game plan
|
US Synthetic |
High Tech Manufacturing |
USA |
The design and analysis capabilities of JMP and JMP Pro have US Synthetic engineers on the path to faster, more reliable findings. US Synthetic makes design of experiments with JMP an integral element of its problem-solving curriculum. |
Manufacturing plant improvement, continuous improvement, Graph Builder, DOE, experimentation, design of experiments, R&D, comparison with Excel |
Jed Campbell, Quality Manager; Tyler Dunaway, Process Engineer; Jason Lott, Research Engineer; Matt Brown, Process Engineer |
JMP Pro |
Element Six, Asahi Diamond Industrial, Varel International, Lazare Kaplan International, Hyperion Materials & Technologies |
English |
| Success Story |
Accessible analytics for all disciplines
|
University of Geneva |
Academic |
Switzerland |
A professor at the University of Geneva introduces JMP – and in some cases, JMP in combination with R – into the classroom to teach students business analytics through hands-on data visualization and exploration. Students’ course evaluations showed an overwhelmingly positive response to learning business analytics via data visualizations. |
Business analytics, marketing analytics, business operations, graduate education, data visualization, integration with R |
Christian Hildebrand, Professor |
JMP |
|
English, French, German, Italian |
| Success Story |
When trending means much more than popularity
|
Tillotts Pharma |
Pharmaceutical & Biotech |
Switzerland |
Analysts at Tillotts Pharma use JMP to explore drug stability data. The JMP Graph Builder and Degradation platforms provide valuable support to their work in addition to custom scripts for trend analysis. |
Drug stability, Graph Builder, Degradation, scripting, JSL, quality control, compliance, GMP guidelines, data management |
Pius Dahinden, Analytical Science Manager |
JMP |
AbbVie, MyoKardia, Reata Pharmaceuticals, Otonomy, Arbor Pharmaceuticals, Orexo, Alliance Pharmaceuticals |
English, French, German |
| Success Story |
Purpose-built clinical trial analytics help a biopharma leader go global
|
Medytox |
Pharmaceutical & Biotech |
Korea |
A Korean biopharmaceutical trailblazer prepares to enter the global market by ‘strengthening internal infrastructure and improving clinical quality’. Scientists consolidate and improve processes for data exploration and cleaning, risk-based monitoring and reporting with JMP Clinical. |
Clinical trial monitoring, statistical monitoring, risk-based monitoring, data cleaning, regulatory compliance, clinical development, FDA, EMA, R&D, reporting, safety and efficacy reporting |
Lee Joo-Hwan, Head of Clinical Development |
JMP Clinical |
Allergan, Ipsen, Teva, Biogen, Athersys, Reata Pharmaceuticals, Daewoong Pharmaceuticals, Hugel |
English, Korean |
| Success Story |
Statisticians help secure a competitive edge in manufacturing
|
W.L. Gore |
Manufacturing |
Germany |
Statisticians at W.L. Gore partner with engineers and scientists across the organization to ensure quality and reliability in all aspects of the business. Teams run design of experiments in JMP to optimize products and manufacturing processes while rolling out more advanced capabilities via customized script-based applications that are easy for engineers to use on the factory floor. |
DOE, design of experiments, experimentation, quality, reliability, quality engineering, scripting, JSL, time savings, cost savings, continuous improvement, Graph Builder, comparison with Excel, custom design, Definitive Screening Designs, DSDs, measurement systems |
Maria Lanzerath, Global Head of Statistics |
JMP |
DUNMORE, RTP, Jessup, Zhongding, TSG Holdings, Holliston Holdings, Alpha Engineered Composites, CCI-GSF, Barrday, Omni, California Combining |
English, French, German |
| Success Story |
Performing under pressure, again and again
|
Medtronic |
Medical Device |
USA |
A research manager and an industrial statistician at Medtronic teamed up to develop a new, more comprehensive method for evaluating device performance. A scripted tool, created in JMP, makes this methodology accessible for the whole research group. Analysis methods that are both more sophisticated and easier to use help Medtronic optimize the insights they get from their data – ultimately helping to deliver safer, more effective devices. |
JSL, scripting, surgical technology, continuous improvement, R&D, device performance, performance data, reliability, predictive modeling, regression, multivariate models, comparison with Excel, data visualization, dashboards, performance tool, product development |
Jim Pappas, Industrial Statistician; Susan Roweton, Research Manager |
JMP Pro |
Cook Medical, Wright Medical, Zimmer Biomet, Stryker, Boston Scientific, Nikkiso, Olympus Corporation, Ra Medical Systems, Globus Medical, Johnson & Johnson, Natus Medical |
English, Korean |
| Success Story |
Automated analytical applications speed up discoveries in biomarker research
|
Ipsen |
Pharmaceutical & Biotech |
France |
Biologists at Ipsen investigate biomarkers critical to the development of new cancer therapeutics. They're using JSL to develop automated and customizable applications that simplify data analysis and make it easier for researchers to make discoveries. Processing time for analyzing 10 biomarkers has been reduced from 20 hours to 30 minutes, thus freeing up time for researchers to concentrate on scientific innovation. |
Biomarker research, oncology, ROI, time savings, JSL, scripting, immunoassay profiling methods, biology, biologists, data visualization, exploratory data analysis, box plot |
Jean-Luc Blachon, Head of Statistical Research, Bioinformatics |
JMP |
Mylan, Teva Pharmaceuticals, Regeneron, Novartis, Pfizer, Akorn, Eisai, Cipla, Sanofi, Merck, Abbott, GSK, Roche, Eli Lilly, Johnson & Johnson, Amgen |
English, French, Korean |
| Success Story |
Rooting out production challenges with statistical analysis
|
Pierre Fabre |
Pharmaceutical & Biotech |
France |
Sustained out-of-specifications outcomes at one of France’s leading pharmaceutical and consumer health companies caused significant production inefficiencies and financial losses, while jeopardizing process validation requirements from national and global regulatory bodies. Implementing targeted, user-friendly statistical tools in JMP allowed plant engineers to systematically identify the root causes for process inefficiencies and comply with regulatory requirements. Using JMP, this plant has drastically reduced manufacturing losses from 2016 to 2017, and engineers are exploring novel ways to integrate JMP in other areas of the company. |
Manufacturing plant improvement, continuous improvement, Graph Builder, DOE, experimentation, design of experiments, ROI, cost savings, process validation, regulatory compliance, FDA, EMA, customization, scripting, quality engineering, stability, Profiler, increasing yield, time savings |
Thierry Taillandier, Quality Project Manager |
JMP |
Estée Lauder, Dior, Beiersdorf, Chanel, Revlon, Coty, Unilever, Luxasia, L'Oréal, Clarins |
English, French, German |
| Success Story |
Beijing Aquarium finds clarity in analytics
|
Beijing Aquarium |
Conservation |
China |
The Beijing Aquarium developed a 3-in-1 management solution that decreased energy use, improved the visitor experience and preserved endangered species. Engineers use design of experiments in JMP to guide water quality management decisions.
|
Water quality, cost savings, DOE, design of experiments, experimentation, experimental design, beluga whales |
Wang Lei, Water Quality Engineer |
JMP |
|
English, Simplified Chinese |
| Success Story |
Analytics for everyday innovation
|
P&G |
CPG |
Germany |
P&G has adopted a culture of analytics. Statisticians and scientists take a data-centric approach to experimentation with design of experiments capabilities in JMP to improve quality while also cutting costs. |
DOE, design of experiments, experimentation, quality, cost savings, culture of analytics, continuous improvement, manufacturing, reliability, stability, Graph Builder |
Beatrice Blum, Statistician |
JMP |
Colgate-Palmolive, Church and Dwight, Unilever, Estee Lauder, Revlon, Coty, Elizabeth Arden, Reckitt Benckiser, Newell Brands, Clorox, Kimberly-Clark |
English, Simplified Chinese, French, German, Italian, Korean, Spanish, Portuguese, Japanese |
| Success Story |
Statistically speaking: Reflections on the tools of a trade
|
Eastman Chemical |
Chemical |
USA |
A team of Eastman Chemical Company statisticians is enhancing data-based decision making through the creation and use of sound statistical methods. JMP serves, on a daily basis, as a statistical “Swiss army knife.” The group also regularly uses JMP Pro, which affords more advanced capabilities with, for example, its Partial Least Squares platform. JMP and JMP Pro allow a team of statisticians to not only more interactively engage with their data but to share insights more easily with their customers. |
DOE, design of experiments, experimentation, statistical modeling, Custom Design, R&D, manufacturing, Prediction Profiler, Partition, optimal DOE, scripting, JSL, JMP support and resources |
Kevin White, Applied Statistics Group Leader |
JMP Pro |
Dow Chemical Company, PolyOne, FMC, Ashland, A. Schulman, Westlake Chemical, Huntsman, Kraton Performance Polymers, DuPont, Albemarle |
English, Simplified Chinese, French, German, Italian, Japanese, Korean |
| Success Story |
Real-world analytics unite engineering classrooms on two continents
|
Cal Poly Department of Engineering |
Academic, Manufacturing |
USA |
Students are encouraged to use JMP both in and out of the classroom. By using JMP to teach engineering, Pan prepares his students for competitive careers at some of the top companies not only in the US but around the world. |
Teaching engineering, manufacturing engineering, JMP in the classroom, industry ready graduates, teaching DOE, design of experiments, experimentation, academic, undergraduate education, graduate education |
Jianbiao John Pan, Professor |
JMP |
|
English, Simplified Chinese, French, German, Italian, Japanese, Korean |
| Success Story |
Optimizing diagnostic development through applied statistical techniques
|
Beckman Coulter |
Medical Device |
France |
Beckman Coulter uses JMP to rapidly adapt to evolving regulatory standards while building in-house statistical capabilities. User-friendly yet comprehensive, JMP software helps the diagnostic team respond to regulatory requirements and implement a design of experiments (DOE) approach without a dedicated on-site statistical team. Enhanced study designs that allow for in-depth analysis of complex molecular interactions and growing interest in JMP implementation companywide. |
DOE, design of experiments, experimentation, FDA, diagnostics, regulatory filings, compliance, R&D, diagnostic development, testing, data visualization, promoting JMP use to others |
Emmanuel Romeu, R&D Manager |
JMP |
Sysmex, BioMerieux, BD, Abbott, Bio-Rad, Roche, PerkinElmer, Thermo Fisher Scientific, CellNovo, miraDry |
English, French, German |
| Success Story |
Design of experiments consolidates steps and saves money
|
Arlenda |
Pharmaceutical & Biotech |
Belgium |
In the course of its consultancy, Arlenda deploys a full suite of JMP features. Among the most frequently used, and enthusiastically received, are JMP design of experiments, modeling and graphic capabilities. Arlenda’s consultants provide scientists with an analytical toolkit based on JMP that can be adapted independently to future experiments and processes. As a result, Arlenda’s clients keep coming back. |
DOE, design of experiments, consultants, consulting, experimentation, R&D, cost savings |
Bruno Boulanger, Chief Scientific Officer |
JMP |
|
English |
| Success Story |
BASF finds the secret to cleaner dishes and waterways
|
BASF |
Chemical |
USA |
Responding to a mandate to remove phosphates from detergents, a team of BASF chemists set out to find a chemical composition with similar cleaning properties. JMP helped the team evaluate the performance of a variety of compounds and proved to be a considerable timesaver. Using JMP, BASF chemists designed a new cleaning formulation now used in place of phosphates by dish detergent manufacturers around the world. |
DOE, design of experiments, experimentation, chemistry, chemical, ROI, time savings, formulations, mixture design, performance optimization, ANOVA, Graph Builder, Custom Design, data visualization |
Jim Dailey, Global Technical Key Account Manager, Research Chemist |
JMP |
Dow, Celanese, Ashland Global Holdings, Evonik Industries, Eastman, W.R. Grace, DuPont, Royal DSM, LG Chem, INEOS, SABIC, LyondellBasell, Mitsubishi Chemical |
English, Simplified Chinese, French, German, Italian, Japanese, Korean, Spanish, Portuguese |
| Success Story |
Pioneering a scientific analysis with interdisciplinary potential
|
Brazca |
Energy |
Australia |
An exploration geologist develops a new method for bimodal geostatistical cluster analysis. A new approach to geostatistical cluster analysis was developed in JMP and implemented exclusively with JMP scripts. Possible fields of application include virtually all disciplines of the natural sciences and every other field in which the spatial position of data matters such as image processing, logistics, marketing and pattern recognition. |
Modeling, geology, mining, exploration geology, geostatistical cluster analysis, scripting, JSL, time savings |
Steffen Brammer, Senio Resource Geologist |
JMP |
|
English |
| Success Story |
Educating tomorrow’s data detectives
|
Cal Poly Department of Statistics |
Academic |
USA |
In Cal Poly’s statistics department, students work on realistic problems that emphasize the understanding of all aspects of statistics: the planning of sample surveys and designed experiments, the process of acquiring data, the careful analysis of information, and the communication of results and conclusions. |
Teaching statistics, JMP in the classroom, academic, undergraduate education, learning statistics |
Karen McGaughey, Professor |
JMP |
|
English |
| Success Story |
Safeguarding the vitality of a regional reservoir
|
City of Durham |
Government & Defense |
USA |
Water quality engineers from the City of Durham gather and analyze data on the status of Falls Lake and share their findings in easy-to-interpret graphs. |
Data visualization, water quality, partitioning, monitoring, Graph Builder, Query Builder, ease of use, city government |
Michelle Woolfolk,Water Quality Engineer |
JMP |
|
English |
| Success Story |
Illuminating a green revolution
|
Cree |
High Tech |
USA |
JMP allows Cree’s production teams to visualize and communicate issues in the process, collect data on those issues, apply models, study the effects of interactions and demonstrate improvement. JMP enabled Cree’s sustaining engineering team to pinpoint and eliminate a defect in the manufacturing process. |
Data visualization, product engineering, data mining, control charts, reducing defects, scripting, JSL, Prediction Profiler, ROI, manufacturing, energy |
Ed Hutchins, Product Engineering Manager |
JMP |
Nichia, OSRAM, Seoul Semiconductor, Lumileds, Epistar, San'an Opto Electronics, Everlight, Ushio, Bright Light Systems, Lumerica |
English, French, German, Italian |
| Success Story |
Dow enhances reliability with advanced analytics
|
Dow Chemical |
Chemical |
USA |
Dow is adding ‘billions and billions’ in value with Six Sigma. MP is used in many facets of Dow’s operations. As Dow transitions from a traditional manufacturer to a solutions provider, JMP has become an essential tool for analyzing and presenting data, sharing it in a collaborative process with colleagues and customers, and using it to project new initiatives. |
Six Sigma, quality engineering, ROI, cost savings, time savings, DOE, design of experiments, experimentation, productivity gains, reliability, R&D, Custom Design, distribution, data mining, predictive modeling |
Tim Rey, Director of Advanced Analytics; Chris Haney, Technology Leader; Kevin McCarron, Six Sigma Service Leader; Jeff Sweeney, Senior Research Statistician |
JMP Pro |
BASF, Bayer, Monsanto, Syngenta, DSM, Solvay, Huntsman, PolyOne, Eastman, Mitsubishi Chemical |
English, Simplified Chinese, Korean, Spanish, Portuguese |
| Success Story |
Fresenius tackles an ambitious assignment
|
Fresenius |
Medical Device |
Italy |
JMP helps to streamline a medical device manufacturing process with innovative Visual Six Sigma. In just six weeks, JMP users at Fresenius developed a tool for monitoring a complex manufacturing line. |
Six Sigma, manufacturing, continuous improvement, time savings, JSL, scripting, STATCON consultants, data visualization, reducing defects, productivity gains |
Laura Zambianchi, Senior Filtering Material Specialist |
JMP |
DaVita, Baxter, Roche, Bristol Myers Squibb, Medtronic, Novartis, Johnson & Johnson |
English, French, German, Italian |
| Success Story |
Proficiency in statistics becomes a medical school standard
|
Hokkaido University |
Academic |
Japan |
Yoichi M. Ito of the Hokkaido University Graduate School of Medicine has designed a unique practical statistics course that applies the user-friendly exploratory features and data library of JMP. Students now learn to appreciate how even a basic understanding of statistics can elevate their future research and professional careers in the life sciences. |
Teaching medical statistics, graduate education, medicine, JMP in the classroom, learning statistics |
Yoichi M. Ito, Professor |
JMP |
|
English, Japanese |
| Success Story |
The teachers’ tool
|
Kyoto University |
Academic |
Japan |
Students use JMP Pro in a biostatistics course to learn how to find meaningful results in public health data. |
Teaching biostatistics, public health, learning statistics, medicine, graduate education, medical statistics |
Tosiya Sato, Professor |
JMP Pro |
|
English, Japanese |
| Success Story |
Data-driven Quality by Design boosts drug development
|
Mitsubishi Tanabe Pharma |
Pharmaceutical & Biotech |
Japan |
Researchers use JMP outputs to make pharmaceutical production processes more efficient and reliable. By using JMP to calculate processing parameters, MTPC was able to both optimize variations in quality characteristics and study design space settings for the dissolution rate of a new drug based on QbD. |
Quality by design, QbD, quality engineering, formulation design, process improvement, risk management |
Keisuke Takagaki, Research Scientist |
JMP |
Kobayashi Pharmaceutical, Otsuka, Sunovion, Pfizer, Alkermes, Exalenz, Astellas, Lilly, Meiji, EMD Serono, Shionogi & Co. |
English, Japanese |
| Success Story |
Mining big data propels increased product miniaturization
|
Murata |
High Tech Manufacturing, Semiconductor |
Japan |
With advances in technology bolstering the demand for manufactured electronics worldwide, Murata sought a more creative, data-driven solution to optimizing not only their processes, but also their end products. Murata’s engineers now rely on JMP to translate objective data analysis results into demonstrable on-site improvements. With JMP, Murata streamlined elements affecting the ceramics calcination process shrinkage factor, creating an alternative control system by which to stabilize variation and reduce product size. |
Quality engineering, process optimization, continuous improvement, manufacturing, data mining, process development, reducing variation |
Osamu Shimoyae, Senior Manager of Production Innovation |
JMP |
Cyntec, GainSpan, Electroverge, Coilcraft, FossilShale Embedded, Alps Electric, Kemet, TDK, Kyocera |
English, Korean, Japanese |
| Success Story |
North Carolina’s Division of Motor Vehicles drives change through data analysis
|
North Carolina Department of Transportation |
Government & Defense |
USA |
JMP helps analysts improve customer service at DMV offices across the state. Staff apply Lean Six Sigma principles in JMP to visualize and interpret transaction data gathered at driver license offices across the state. The project is ongoing through the continued rollout of various time-saving processes and much-needed technology updates at the busiest DMV offices statewide. Through these strategic improvements, data indicates that average wait times have been reduced. |
Six Sigma, improving customer service, wait times, sensitivity analysis, Monte Carlo simulation, tree maps, DMV |
Six Sigma Lead |
JMP |
|
English |
| Success Story |
Strategic experimentation helps engineer road safety improvements
|
North Carolina State University Department of Industrial Engineering |
Academic |
USA |
An industrial engineer at North Carolina State University uses JMP to analyze designed experiments that gauge the effects of on-road signage and in-vehicle technologies on driver attention allocation among both civilian drivers and police officers. With the results of her experiments, she and her colleagues plan to provide the Department of Transportation with improved design and formatting guidelines for on-road signage. Her analysis will also help improve mobile computer terminal interface design for police cruisers nationwide. |
DOE, design of experiments, experimentation, academic research, industrial engineering, police, transportation, human systems engineering, ANOVA |
Maryam Zahabi, Graduate Researcher |
JMP |
|
English |
| Success Story |
An analytics tool bridges the cultural divide
|
Nu Skin |
CPG |
USA |
Market analysts created an intuitive, easy-to-use tool to facilitate control group selection and analyze promotional uplift. Nu Skin developed an interactive JMP environment in eight months from concept to implementation. Today, this JMP tool is used to perform product promotions analytics, thereby improving service and growth in regions throughout the world. |
Dashboard building, control group selection, market research, time savings, working across geographies, ease of use, dashboards |
Brian Eastwood, Market Analyst |
JMP |
Mary Kay, Avon, Lush, L'Oreal, Sally Beauty, Revlon, Oriflame, Kiko Milano, Coty |
English |
| Success Story |
It’s survival analysis — literally
|
San Diego Zoo |
Ecology & Conservation |
USA |
In the fight against extinction, conservation scientists must assess hundreds of complex ecological and behavioral variables to gain essential insight into habitat attrition and population dynamics. Ecologists use JMP to run multiple survival analyses and build statistical models that help researchers to identify the best adaptive management strategy for at-risk species. |
Data exploration, statistical modeling, exploratory data analysis, ecology, biology, data visualization, comparison with R, learning statistics, adaptive management, environment |
J.P. Montagne, Research Coordinator Applied animal Ecology Divsion |
JMP |
|
English |
| Success Story |
A new generation of statistics-literate educators
|
Shibaura Institute of Technology |
Academic |
Japan |
Shibaura Institute of Technology (SIT) encouraged all students and faculty to expand their understanding of statistics using easy-to-learn JMP Pro statistical discovery software. Students and faculty members across SIT adopted JMP Pro to augment their use of statistical analysis in everything from basic coursework to graduate research. With the help of JMP Pro, SIT made statistics education both accessible and enjoyable for future educators. |
Teaching statistics, JMP in the classroom, academic, undergraduate education, learning statistics, engineering education, Graph Builder |
Hideyo Makishita, Professor |
JMP Pro |
|
English, Japanese |
| Success Story |
Social system engineers gain insights from survey data
|
University of Hyogo |
Academic |
Japan |
The University of Hyogo empowers researchers to use JMP to analyze survey data, thus saving them the time and effort required to learn programming-reliant alternatives. Researchers made impressive strides in social system engineering, developing critical strategies to improve both company and local government management. |
Survey research, informatics, graduate education, research methods, academic research, data visualization, learning statistics |
Masahiro Arima, Professor |
JMP |
|
English, Japanese |
| Success Story |
A significant contribution to the advancement of analytics
|
Villanova University |
Academic |
USA |
The Villanova University School of Business offers a minor in analytics – an offering that has quickly become the university’s most popular minor – and has also laid plans for a similar major. |
Data exploration, statistical modeling, learning statistics, undergraduate education, JMP in the classroom, Prediction Profiler, Graph Builder |
Bob Nydick, Professor |
JMP Pro |
|
English |
| Success Story |
Optimizing DOE for optimal product design
|
W.L. Gore Japan |
Manufacturing |
Japan |
Gore Japan encouraged its researchers to use JMP® to plan and implement efficient experimental design. The company transformed its experimentation processes, more effectively and efficiently testing optimal combinations of factors affecting product quality. Employees’ mastery of statistics is progressing, and those business areas in which JMP is involved have expanded. |
DOE, design of experiments, experimentation, quality engineering, reliability, reproducibility, design optimization, process improvement |
Tatsuo Yamamoto, Statistics Team Leader |
JMP |
DUNMORE, RTP, Jessup, Zhongding, TSG Holdings, Holliston Holdings, Alpha Engineered Composites, CCI-GSF, Barrday, Omni, California Combining |
English, Japan |
| Success Story |
|
WildTrack |
Ecology & Conservation |
USA |
Many endangered animals in the wild are elusive and difficult to count, and resources for conservation research are hard to come by. A noninvasive, inexpensive and sustainable method for census taking is needed. WildTrack biologists use JMP and the FIT application to create algorithms of endangered species footprints. |
Data exploration, exploratory data analysis, biology, statistical modeling, wildlife, image analysis, images |
Zoe Jewell, Ecologist; Sky Alibhai, Ecologist |
JMP |
|
English, Simplified Chinese, Japanese, French, German, Italian, Korean |
| Success Story |
|
Whirlpool |
Manufacturing |
USA |
Whirlpool uses JMP in Six Sigma Black Belt and Green Belt training that supports its Operation Excellence program. JMP helps analysts communicate data-driven ideas and concepts, and spread a culture of continuous improvement. |
Six Sigma, continuous improvement, training, predictive modeling, control charts, process improvement, bubble plot, exploratory data analysis |
Aaron Youngstedt, Six Sigma Project Deployment Lead |
JMP |
LG, GE Digital, Samsung, Electrolux, Bosch, Panasonic, Haier, Dyson |
English, Spanish |
| Success Story |
|
USDA Animal and Plant Health |
Government & Defense |
USA |
The USDA uses JMP for sample design, experimental design and repair, data analysis and more. JMP helps scientists in the USDA’s Plant Protection and Quarantine Division assess the risks of plant pest invasions, curtail their entry, and monitor their movements and populations. |
DOE, design of experiments, experimentation, invasive species, Prediction Profiler, risk assessment, experimental design, statistical modeling |
Ned Jones, Statistician |
JMP |
|
English, Japanese |
| Success Story |
US Marines use analytics to save billions
|
US Marine Corps |
Government & Defense |
USA |
Predictive modeling with JMP Pro forecasts equipment losses during conflict, enabling the military to plan for replacements more effectively and efficiently. |
Dashboard building, predictive modeling, cost savings, recursive partitioning, bootstrap forests, dashboards |
Capt. Aaron Burciaga, Military Operations Research |
JMP Pro |
|
English |
| Success Story |
Data offers insights on energy alternatives
|
US Department of Energy’s National Renewable Energy Laboratory |
Government & Defense |
USA |
National Renewable Energy Laboratory (NREL) scientists use the scripting and data mining capabilities of JMP to gauge the performance of solar energy systems. The solar energy industry will move forward with a more comprehensive understanding of how to build and maintain its systems, and with data-based knowledge of the reliability of those systems. Using JMP, researchers are now generating in a matter of minutes reports that previously took a week or more to produce. |
Data exploration, data mining, scripting, JSL, modeling, reliability, efficiency, photovoltaics, renewable energy, degradation, stability, reproducibility, solar |
Dirk Jordan, Senior Reliability Engineer |
JMP |
|
English |
| Success Story |
3-D analytics helps business students find common ground
|
University of Southern California |
Academic |
USA |
USC Marshall School of Business uses JMP in an interdisciplinary, visual approach to data mining. |
Data exploration, exploratory data analysis, MBA, business analytics, JMP in the classroom, marketing analytics, data visualization, data mining, scatterplots, regression |
Arif Ansari, Professor |
JMP |
|
English |
| Success Story |
Wharton gets down to business
|
University of Pennsylvania |
Academic |
USA |
MBA students use JMP to apply basic and advanced data analysis skills to complex, real-world business problems. |
Data exploration, exploratory data analysis, MBA, business analytics, JMP in the classroom, marketing analytics, data visualization |
Robert A. Stine, Professor |
JMP |
|
English |
| Success Story |
Sophisticated analytics made easy
|
University of Michigan |
Academic |
USA |
The Ross School of Business at the University of Michigan uses JMP for coursework and projects in introductory statistics, data mining and applied multivariate analysis, applied forecasting and applied regression. Individual students and teams delve into analytics to explore data, surface business challenges, uncover patterns and examine possible solutions, and then apply these skills in their work environments. |
Data exploration, exploratory data analysis, MBA, business analytics, JMP in the classroom, marketing analytics, data visualization, scatterplot, learning statistics, graduate education, Fit Model |
Peter Lenk, Professor |
JMP |
|
English, Simplified Chinese, Japanese, Korean |
| Success Story |
Equipping business students with competencies valued by today’s organizations
|
University of Connecticut |
Academic |
USA |
The University of Connecticut deploys JMP software and a full suite of SAS® tools in the School of Business GE-sponsored edgelab and in a variety of classes leading to an advanced business certificate in business analytics. JMP will be used extensively in a new Master of Science program in business analytics and project management. |
Data exploration, exploratory data analysis, MBA, business analytics, JMP in the classroom, marketing analytics, data visualization, scatterplot, learning statistics, graduate education, information management |
Ram Gopal, Professor |
JMP |
|
English |
| Success Story |
Opening the lines of communication
|
Tellabs |
Manufacturing |
USA |
Using statistical process control charts in JMP, Tellabs is working with contract manufacturers to better ensure the consistent quality of its products. Tellabs incorporates predicted yields into P charts that are used to indicate the anticipated outcomes in the production process. Tellabs uses JMP in weekly meetings with contract manufacturers to pinpoint issues that can likely be effectively addressed. Having learned to use JMP scripts to create charts and reports, the contractors now arrive at the meetings prepared to discuss any issues at hand. |
Statistical process control, SPC, quality, yield, P charts, manufacturing improvement, predictive modeling, reliability, data visualization |
Vin Kane, Quality and Reliability Consultant |
JMP |
Actiontec, MegaPath, ADTRAN, Calix, Nokia, Silver Peak, NeoPhotonics, Finisar, OneAccess, Huawei |
English |
| Success Story |
Developing smart power with confidence
|
STMicroelectronics |
High Tech Manufacturing, Semiconductor |
Italy |
JMP has become an everyday tool for the company’s Italy-based engineers. Use of the software is expanding into other areas of the organization. JMP allows engineers to analyze and manipulate extremely large data sets, perform experimental designs on new products, and present findings clearly and concisely. |
Data mining, statistical modeling, troubleshooting, partitioning, DOE, design of experiments, experimentation, experimental design, scripting |
Matteo Patelmo,, Process Integration Director |
JMP |
Texas Instruments, NXP, Infineon, Analog Devices, Maxim Integrated, Renesas, Qualcomm, Advanced Micro Devices, NVIDIA |
English, Simplified Chinese, Traditional Chinese, Korean, Japanese |
| Success Story |
Stanford researcher challenges assumptions about cystic fibrosis
|
Stanford University |
Academic |
USA |
Researchers seek to determine whether the clinical course of cystic fibrosis and other diseases can be modulated by defining and then targeting the mechanism of action of neutrophils in the diseases. They use JMP to evaluate treatment responses and explore associations between genetic and other markers relevant to neutrophil function in cystic fibrosis. |
Statistical modeling, data visualization, multivariate analysis, academic research, medical research, comparison with Excel |
Rabin Tirouvanziam, Research Scientist |
JMP |
|
English |
| |
McDonald’s makes delicious discoveries with JMP®
|
McDonald's |
Restaurants, Retail |
USA |
A McDonald’s operations research team uses JMP to gather historical and current data and predict future trends, and to present findings to internal clients around the world more efficiently and effectively. By predicting changes in local market conditions for each geographic region, McDonald’s Worldwide Restaurant Innovation team builds efficiencies into its operations around the world. |
Predictive modeling, data visualization, communication with leadership, Graph Builder, predictive analytics |
Mike Cramer, Director of Operations Research |
JMP |
Burger King, Taco Bell, Pizza Hut, Subway, Starbucks |
English, Spanish |
| Success Story |
A better understanding of aging
|
Mario Negri Institute for Pharmacological Research |
Healthcare |
Italy |
Researchers at Milan’s Mario Negri Institute are using JMP in many areas, including clinical trials on the efficacy of new drugs for Alzheimer’s disease and depression in the elderly and for surveys to measure the general health of individuals 80 years and older. JMP is helping institute researchers "squeeze more juice" from their data and work more effectively with extremely large databases — many containing millions of rows of data. |
Academic research, pharmacological research, geriatric neuropsychiatry, Alzheimer’s disease, scatterplots, statistical modeling, Fit Model |
Mauro Tettamanti, Epidemiologist |
JMP |
|
English |
| Success Story |
A model airline
|
Lufthansa |
Services |
Germany |
Lufthansa’s incomplete database meant that mathematical models yielded scheduling suggestions that were unrealistic. With JMP, Lufthansa improved the quality of its flight scheduling, and now has the ability to arrange for precise connections for all customer groups. |
Statistical modeling, data visualization, customer service, customer satisfaction, Graph Builder, statistics, production model |
Anja Simon, Project Manager, Information Management |
JMP |
United Airlines, British Airways, American Airlines, Southwest Airlines, JetBlue, Cebu Pacific, Etihad, Turkish Airlines, AirAsia, Cathay Pacific, China Airlines, JAL, KLM, Emirates, Delta Airlines, Ryanair, Air China, China Eastern, Korean Air, Aeroflot |
English, German |
| Success Story |
Friendlier skies
|
Lockheed Martin |
Government & Defense |
USA |
Lockheed Martin systems engineers are using a variety of JMP tools to optimize takeoff profiles. For its noise-reduction research, the Lockheed Martin team received a Distinguished Engineering Project Achievement Award from the Engineers’ Council. |
DOE, Contour Profiler, aeronautics, rapid profile development methodology, regression, optimal design, design of experiments, experimentation, design space |
Jeanette Elliott, Systems Engineer |
JMP |
Boeing, BAE Systems, General Dynamics, Raytheon |
English |
| Success Story |
Building a better taste test
|
Kraft |
CPG |
UK |
Kraft Foods’ researchers sought a more effective means of analyzing data from taste tests involving professional tasters and hundreds of consumers. They developed a consumer test evaluation tool that ultimately halved analysis time, significantly reduced training time, minimized calculation errors, ensured and increased use of Kraft Foods best practices, and reduced software costs. |
Consumer research, R&D, taste testing, JSL, scripting, dashboards, dashboard building, sensory analysis, statistical modeling |
Jeff Stagg, Principal R&D Scientist |
JMP |
Kellogg's, General Mills, Mondelez International, Smucker's, Ingredion, Quaker Oats, PepsiCo, Tyson Foods, Nestle, JBS, Anheuser-Busch InBev, Mars |
English |
| Success Story |
The race to zero
|
Kodak |
Manufacturing |
USA |
Using JMP, the Kodak Film Capture Manufacturing team easily manipulated data generated by millions of images taken of the production process, allowing the team to find the source of the problem and correct it. Kodak reduced occurrences of the contaminant from one in every 10 million linear feet of this motion picture film to only one in every 300 million linear feet, and has seen no defects at all in 12 months. JMP not only enabled the Kodak team to identify the problem but also to clearly present findings to upper management, showing the need for investment to fix the problem. |
Continuous improvement, cost savings, time savings, zero defect manufacturing, control charts, communications with leadership, data visualization |
Geoff Beatham, Quality Director |
JMP |
Fujifilm, Heidelberger, Agfa, Esko, Konica Minolta, Xerox, Epson, Lexmark, HP, Nikon |
English, Korean |
| Success Story |
It’s Quality by Design at GlaxoSmithKline
|
GlaxoSmithKline |
Pharmaceutical & Biotech |
UK |
GlaxoSmithKline scientists assess risk and develop process-control strategies using unique experiment design features and other capabilities in JMP. World-class design of experiment methods help scientists optimize manufacturing processes quickly, thereby reducing costs. JMP journals and customizable dashboards allow analysis results to be structured, shared and interactively interrogated. The software makes it easier to identify gaps, highlight important control features and demonstrate control. |
DOE, design of experiments, experimentation, cost savings, quality by design, QbD, Profiler, quality engineering |
Martin Owen, Innovation Leader |
JMP |
Bristol Myers Squibb, Johnson & Johnson, Merck, Novartis, Abbott, Roche, Eli Lilly, Pfizer, Cipla, Teva Pharmaceuticals, Sanofi, AstraZeneca |
English, German |
| Success Story |
Extracting benefits with text mining
|
FMC Technologies |
Energy |
USA |
JMP helps FMC Technologies analyze text as well as numeric data to produce a more thorough and detailed picture of its operations. JMP also is used for quality control training, cost studies and other functions. A custom JMP application supports a creative integration of text mining and JMP analytics to give this manufacturer the precise information it needs to stay on target with worldwide operational goals. |
Six Sigma, text mining, data mining, JSL, scripting, customization, JMP and R integration, text analysis, unstructured data, comparison with Minitab |
Dan Fortune, Global Business Excellence Manager |
JMP |
Cameron, Dril-Quip, GE, Forum, Lufkin, Subsea 7, Oceaneering International, Aker Solutions, OneSubsea, Exterran |
English, Spanish |
| Success Story |
Safeguarding the skies
|
Federal Aviation Administration |
Government & Defense |
USA |
Analysts sought to improve automation of air traffic systems and better support air traffic controllers with more accurate and timely information. They used JMP to retrieve and examine millions of pieces of data from its air traffic control centers and from around the globe. As air traffic control systems employ more automation and takeoffs increase, JMP is helping the FAA mine the data gathered from previous flights to make future ones safer. |
Statistical modeling, statistics, cluster analysis, data visualization, communications, bubble plots |
Mike Paglione, Simulation and Analysis Engineer |
JMP |
|
English |
| Success Story |
The proof is in the poultry
|
Elanco |
Agriculture |
UK |
Process Insight Consulting works with Elanco Animal Health veterinarians at “demystifying data analysis” using JMP. Elanco veterinarians and technical consultants uncover statistically significant links between various genetic, dietary and environmental factors affecting the health and development of chickens, then communicate analysis results to producers in an easy-to-understand format. |
Consulting, consultants, control charts, animal health, dashboard building, dashboards, JSL, scripting, Prediction Profiler, time savings, predictive modeling |
Christophe Bostvironnois, Marketing Execution Manager |
JMP |
Zoetis, Boehringer Ingelheim, Merck Animal Health, DSM, PetSmart, Ceva, GSK, Phibro Animal Health, Novartis, Bayer |
English, French |
| Success Story |
BU brings dynamic instruction to intro statistics classes
|
Boston University |
Academic |
USA |
To make basic statistics classes more engaging, faculty use JSL to build add-ins, which serve as interactive worksheets, animating theories introduced in lectures. Students are clearly more engaged by this interactive approach to the curricula. They’re now more prone to debate one another’s findings and delve further in their analyses. |
Teaching statistics, undergraduate education, learning statistics, scripting, JSL, customization, dashboard building, Graph Builder, data visualization |
Luis Carvalho, Professor |
JMP |
|
English, Simplified Chinese, Japanese |