JMP Statistical Discovery
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  • Software
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    JMP Software Overview

    JMP Software Overview

    Learn more about the JMP family of visual, interactive statistical discovery tools.

    JMP Analytic Workflow

    JMP Analytic Workflow

    See how JMP can take you from data to insight — all in one self-service platform.

    Leveraging Data Across Your Organization

    Leveraging Data Across Your Organization

    Learn how JMP helps organizations to maximize value while working lean.

  • JMP in Action
    Featured Industries
    • Chemical
    • Consumer Products
    • Semiconductor
    • Pharma & Biotech
    Application Areas
    • Design of Experiments
    • Quality Engineering, Reliability and Six Sigma
    • Statistics, Predictive Modeling and Data Mining
    • Data Visualization and Exploratory Data Analysis
    • Consumer and Market Research
    • Dashboard Building
    Customer Stories

    Customer Stories

    A variety of organizations use JMP to help them succeed. Read their stories here.

    White Papers

    Resource Center

    Expand your skills or explore new topics with our extensive library of white papers, webinars, customer stories and more.

    Academic

    Academic

    Teach, learn, and research with software and resources for professors and students.

  • Events
    Events
    • Upcoming Live Events
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    Statistically Speaking

    Statistically Speaking

    Virtual keynote and panel conversations showcasing innovative organizations and their use of cutting-edge statistics.

    Discovery Summit

    Discovery Summit

    Online conferences for exploring data and inspiring innovation. For JMP users and analytic experts.

  • Learn JMP
    Getting Started with JMP

    Getting Started with JMP

    Explore resources designed to help you quickly learn the basics of JMP right from your desk.

    Mastering JMP

    Mastering JMP

    A webinar series for JMP users of all experience levels who want to build their analytic skills.

    New User Welcome Kit

    New User Welcome Kit

    You just got JMP. Now get ready to explore your data by following our learning road map.

    Statistical Thinking Course

    Statistical Thinking Course

    Learn practical skills in this free online statistics course encompassing short videos, demonstrations, exercises and more.

    JMP Education

    JMP Education

    We offer training courses at all levels to help build your knowledge and skill set.

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    Community Home

    Community Home

    Visit the world's largest online community of JMP users.

    File Exchange

    File Exchange

    Download and share JMP add-ins, scripts and sample data.

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    JMP Discussions

    Start or join a conversation to solve a problem or share tips and tricks with other JMP users.

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    Community Blogs

    Read topics for JMP users, explained by JMP R&D, marketing, training and technical support.

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    Users Groups

    Find your JMP users group – within your organization, in your region, or focused on your special interest or industry.

  • About Us
    About JMP

    About JMP

    JMP produces interactive statistical discovery software.

    John Sall

    John Sall

    SAS Co-Founder and Executive Vice President John Sall is the creator and chief architect of JMP software.

    Corporate Address

    100 SAS Campus Drive

    Cary, NC 27513-2414, USA

    Phone: 919.677.8000

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Resource Center

Uncover the latest trends and industry best practices in your field

    • All Application Areas
    • Design of Experiments
    • Quality Engineering, Reliability and Six Sigma
    • Statistics, Predictive Modeling and Data Mining
    • Data Visualization and Exploratory Data Analysis
    • Consumer and Market Research
    • Dashboard Building
    • Life Sciences
    • Culture of Analytic Excellence
    • All Industries
    • Pharmaceutical & Biotech
    • High-Tech Manufacturing
    • Consumer Products
    • Chemical
    • Industrial Manufacturing
    • Energy & Utilities
    • Government
    • Conservation
    • Sports
    • Academic
    • All Types
    • White Papers
    • On-Demand Webinars
    • Customer Stories
    • Book Chapters
    • Articles

Pharmaceutical & Biotech

  • Driving Success with JMP Accelerating R&D for the Autonomous and Electric Vehicles IndustryJMP provides researchers in the Autonomous and Electric Vehicles Industry strategic advantages like improved productivity, higher quality, reduced time to market and continuous process improvement.
  • Data Discovery for the Biotech Industry Quality Engineering Tools in Bio/PharmaIn this on-demand webinar, Jeff Upton showcases tools that are utilized for Statistical Process Control and Six Sigma workflows.
  • Data Discovery for the Biotech Industry Statistical Exploration for Research & DevelopmentIn this on-demand webinar, Jordan Hiller demonstrates how to visualize data and drill-down to gain insight quickly.
  • Data Discovery for the Biotech Industry Design of Experiments for BioTech/Pharma ManufacturingIn this on-demand webinar, Jordan Hiller explains what Design of Experiments (DOE) is, and how to use it to improve processes and products.
  • Article An interview with Marianne Toft of NovozymesMarianne Toft on Discovery Summit, continuous learning and how statistics should be seen as a tool to enhance scientific expertise

See all in pharmaceutical & biotech


High-Tech Manufacturing

  • Customer Story Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
  • Customer Story MarelliThe consolidation of big data management, analysis, data controls, prevention and prediction into a single workflow accelerates innovation.
  • Customer Story Jeju Semiconductor CorporationAn all-in-one statistical workflow is key to optimizing the impact of an R&D-focused business model.
  • Book Chapter Achieving Product ReliabilityIn this chapter from the book Achieving Product Reliability, Bill Meeker, Necip Doganaksoy and Gerald Hahn introduce us to the role of statistics plays in reliability assurance.
  • Customer Story STMicroelectronics ShenzhenA tiered Six Sigma program and standardization around JMP drive large-scale improvements.

See all in high-tech manufacturing


Consumer Products

  • Driving Success with JMP Accelerating R&D for the Autonomous and Electric Vehicles IndustryJMP provides researchers in the Autonomous and Electric Vehicles Industry strategic advantages like improved productivity, higher quality, reduced time to market and continuous process improvement.
  • Time to Innovate Anatune: Data analytics for analytical method developmentLearn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
  • Article Empowering P&G employees to do text analysisScott Reese, from the Data & Modeling Science team at Procter & Gamble, explains how he uses text analytics to answer some of the company's most pressing data questions.
  • Statistically Speaking Developing a shared vision for analytic excellenceAnalytics champions from Dow, Unilever and Riffyn lead with a data-driven mindset
  • Article Just add water....Tim Gardner shows how applying designed experiments can turn something as simple as "adding a little water" into an operational gain worth hundreds of thousands of dollars per run.

See all in consumer products


Chemical

  • Live Webinar How to Model Complex, High-Dimensional Chemical SpectraJoin us as JMP Senior Global Enablement Engineer Bill Worley shows us a visual approach to chemometrics.
  • Article Machine learning applications for chemical and process industriesIn this article, we explain industrial data science fundamentals and link them with commonly-known examples in process engineering. Then, we review industrial applications using state-of-art machine learning techniques.
  • Article Analyzing spectral data: Multivariate methods and advanced pre-processingJMP Senior Systems Engineers Bill Worley and Data Scientist Jeremy Ash demonstrate the utility of the multivariate platforms in JMP..
  • Article Analyzing spectral data: Modeling optionsJMP Senior Systems Engineers Bill Worley and Data Scientist Jeremy Ash demonstrate several ways spectral data can be modeled in JMP.
  • Article Analyzing spectroscopic data: Pre-processingJMP Senior Systems Engineers Bill Worley and Data Scientist Jeremy Ash describe how you can import, visualize, clean, and analyze spectroscopic data with JMP software.

See all in chemical


Industrial Manufacturing

  • Driving Success with JMP Accelerating R&D for the Autonomous and Electric Vehicles IndustryJMP provides researchers in the Autonomous and Electric Vehicles Industry strategic advantages like improved productivity, higher quality, reduced time to market and continuous process improvement.
  • Customer Story Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
  • Customer Story MarelliThe consolidation of big data management, analysis, data controls, prevention and prediction into a single workflow accelerates innovation.
  • Article An interview with Marianne Toft of NovozymesMarianne Toft on Discovery Summit, continuous learning and how statistics should be seen as a tool to enhance scientific expertise
  • Statistically Speaking How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI

See all in industrial manufacturing


Energy & Utilities

  • Customer Story HeliatekAn automated dashboard helps establish statistical process control in a pilot production environment.
  • Statistically Speaking The key elements of a data-driven cultureLearn how organizations like GE Gas Power make a business case for analytics projects and gather the right tools for success
  • Technically Speaking Well Performance Evaluation With Data-Driven Analytics to Optimize a Hydraulic Fracture StrategyLearn to analyze risk and uncertainty, strengthen confidence in completion strategies and maximize oil well performance with a modeling strategy that aggregates spatial, temporal and field data.
  • Analytically Speaking Applying Quality Engineering Principles to Create Innovative ProductsOLEDWorks Director of Quality and Reliability Engineering explains why statistics is the key to product R&D.
  • Analytically Speaking The Elements of Sophisticated Reliability AnalysisDavid Trindade of Bloom Energy makes big process improvements with reliability and DOE.

See all in energy & utilities


Government

  • Article Data Science is a Team SportProfessor Alyson Wilson discusses how, as data grows in volume, velocity, variety and veracity, solving complex problems can no longer be done in a silo.
  • Technically Speaking Toward a More Effective Disease Outbreak Alert System: A Symptoms Approach to BiosurveillanceSam Edgemon demonstrates how the use of more granular symptoms-level data combined with innovative statistical techniques has the potential to identify disease outbreaks faster while limiting false positives.
  • Statistically Speaking Intentional visualizations help untangle complex dataFrom policy to sports to environmental investigations — data visualization leads to insights
  • Statistically Speaking Mission-critical advanced statistics for the defense communityLearn about machine learning and artificial intelligence, and their synergies with structured experimentation
  • Technically Speaking Leveraging Free Text Data to Build Better ModelsLearn how text data can be combined with non-text data to build better models and make better decisions.

See all in government


Conservation

  • Statistically Speaking Revolutionizing Sustainability Through Green ChemistryJoin us for a virtual discussion with Grace Lasker and Rick Morgan on sustainability through green chemistry.
  • User Story Target MalariaCapacity-building efforts accelerate research outputs in novel vector control approaches towards disease transmission.
  • Customer Story Karlsruhe Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
  • Time to Innovate Anatune: Data analytics for analytical method developmentLearn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
  • Customer Story University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.

See all in conservation


Sports

  • White Paper JMP and Analytics in BaseballIn this white paper, Sig Mejdal, Assistant GM of the Baltimore Orioles, discusses the proliferation of quants in the sport and explores how JMP has helped bring analytics to baseball.
  • Technically Speaking Faster Insights Through Automated Clustering and Visualization: A Case Study Using MLB DataIn this 30-minute webinar, Sig Mejdal, VP and Assistant General Manager for the Baltimore Orioles, demonstrates how clustering and data visualization techniques can be used to automatically detect hidden patterns in data.
  • Statistically Speaking Intentional visualizations help untangle complex dataFrom policy to sports to environmental investigations — data visualization leads to insights
  • Analytically Speaking Analytics Lessons From BaseballHouston Astros Director of Decision Sciences shares lessons on data exploration and analytics from the world of baseball.
  • Customer Story Houston AstrosHow the losingest team in baseball found a competitive edge with analytics.

See all in sports


Academic

  • User Story Target MalariaCapacity-building efforts accelerate research outputs in novel vector control approaches towards disease transmission.
  • Customer Story RiffynResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
  • Article Data Science is a Team SportProfessor Alyson Wilson discusses how, as data grows in volume, velocity, variety and veracity, solving complex problems can no longer be done in a silo.
  • White Paper Moving from Minitab to JMP: A Transition Guide, Version 2This guide explains how Minitab and JMP differ in the handling of descriptive statistics and visualizations. It is meant to ease the user’s transition from Minitab v19 to JMP 16 and JMP Pro 16. Focus is on the user interface, how tools are accessed, how analyses are performed, and the general workflow of the packages.
  • Customer Story University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.

See all in academic


About JMP

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