Resource Center
Data Blending and Cleanup
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Optimize Your Processes with Interactive Statistical ModelsLearn how to make sustainable, cost-effective, and data-driven decisions through model building.
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Problem Solving with Design of Experiments: Navigating Complex Challenges in R&D and Manufacturing Discover how design of experiments (DOE) can enhance industrial R&D, streamline operations, and improve efficiency.
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Maximizing Insights, Minimizing Effort: Intuitive Data Visualization for Scientists and Engineers Explore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders.
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Six ways to make charts more obviousThere are a variety of ways that we can make our charts more obvious to audiences. In this except Nick Desbarats outlines six such ways.
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Tolerating Input Variation: How to Design for Robust Production ProcessesEnsure consistent high-quality output and operational efficiency during the transition from development to routine manufacturing.
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Accelerating Your Analytic WorkflowThis three-session webinar series provides practical tips, tricks and best practices to effectively prepare and analyze your data, and then share your data discoveries.
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Using Data Visualization for Better Decision MakingExplore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders
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When Spreadsheets Are Not Enough: Get More out of Your DataLearn how to gain insight into the relationships in higher dimensional data, using integrated data management, dynamic graphs and statistics.
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Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
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How to Be a Data DatectiveIn this webinar you will see how interactive, no-code analytics enable any scientist or engineer to be a Data Detective, and to be more effective and efficient at every stage of the process.
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JMP takes the struggle out of data wranglingThis paper provides an introduction to the unglamorous, time-consuming, laborious, and sometimes dreaded “dirty work” of statistical investigations – data preparation. The good news: JMP can perform these operations with ease.