Here is an updated JMP Day topic list for 2020. Below is also a list with links to mastering presentations and/or journals for SEs to use when customizing presentations for customers.
We share and discuss this list with our champions, and then create a customized agenda using these topics.
See attached PDFs for session descriptions.
On-Site JMP® Day Topics
What’s New in JMP 15. Learn about exciting new features in the latest version of JMP. Video
Getting Started With JMP. Great as an introduction to JMP for the new user or as a refresher for the infrequent user. This topic covers the basics of the JMP interface and data tables, getting data into JMP, doing basic summary analysis and charting, saving and sharing your work, and where to get help on JMP. Video
Preparing Your Data for Analysis. In any analysis problem, most of your time is spent preparing the data for analysis. JMP makes this process easy with powerful data manipulation capabilities. See how to rearrange data to meet any analysis challenge. Topics may include Importing Data From Excel, Query Builder, Recode, Selecting Matching Cells, Name Selection in Column, Value Labels, Compression of Selected Columns, Stack/Split and Join. Video and link to Journal/Files
Exploring Data With Dynamic Graphics: A Case Study in JMP. JMP is the perfect tool for exploring data. Whether you are searching for relationships, patterns or outliers, learn how to look at your data to gain critical insights. This topic walks through a case study showing the basics of analysis using JMP. It covers dynamic linking, visual analytics, Fit Model and the Profiler. Video and link to Journal/Files
Maximizing Productivity in JMP. This highly interactive session features useful tips and powerful tricks to make the most of JMP. Example 1 and Example 2 and Example 3
Mining Data and Building Predictive Models. Discover how to use the JMP Partition, Stepwise Regression and Neural Network platforms to perform data mining and root cause analysis, and to build predictive models on historical data sets. Video and link to Journal/Files
Scripting Without Being a Scripter. The JMP Scripting Language (JSL) will give you the tools you need to make using JMP even more productive. This topic covers saving scripts to journals and data tables, and combining scripts to automate repetitive actions. Video and link to Journal/Files
Making the Most of Multivariate Analysis. The multivariate platforms in JMP put powerful analytic techniques at your fingertips. This topic shows how to make the most of multivariate analysis and visualization tools such as scatterplot matrices and correlation heatmaps, principal component analysis, factor analysis, partial least squares, and structural equation modeling. Video and link to Journal/Files
Using Graph Builder Effectively. JMP produces specialized graphs and plots with supporting tables, statistics and maps. The drag-and-drop interface is intuitive, lets you get started quickly and gives you a ribbon of options to use to select alternate graph types. Advanced features allow you to control format and appearance to create persuasive visualizations. See several case studies that demonstrate different techniques to create compelling graphs that uncover relationships in your data and identify areas for further analysis. This topic covers using obvious and hidden graph zones; building uncommon graph types; and fine-tuning axes, colors, gradients and legends. Video and link to Journal/Files
Getting the Most From Your Experiments. JMP has powerful, world-class design of experiments (DOE) capabilities. See how to use the DOE platforms to make the most of your experiments. This topic may cover Custom Design, Screening Design, Response Surface Design, Full Factorial Design and Choice Design. Video and link to Journal/Files
Sharing Analysis Results. You can save results from JMP analyses in many ways. See how to use JMP Reports, Journals and Dashboards to save and organize your work. This topic covers copying/pasting reports and graphics to Microsoft Office programs, adding a Journal to a report, selecting a Journal from a report, adding custom text to a Journal, creating a presentation Journal from scratch, using script links and reports, gathering data tables in a report, interactive HTML and Dashboard Builder. Video and link to Journal/Files and Video and link to Journal/Files
Using Text Explorer to Extend Analysis. Don’t leave your text data unused. In this session, learn how to get value from free-form data from a variety of sources. Use this unstructured data to inform decision making and to provide management with analyses and predictions that include information from text. See how to prepare, explore and analyze text, and then use the data to predict outcomes. Video and link to Journal/Files
Using Model Visualization and Simulation to Understand Your Models. Model visualization and Monte Carlo simulation in JMP are useful for understanding your statistical models, and designing robust processes and products. This topic shows how to use JMP’s Prediction Profiler to easily understand complicated statistical models, and how to use the Prediction Profiler to publish and share your process insights with non-statistical audiences. This topic may also cover the Simulator, Defect Profilers, and running Simulation experiments. Video and link to Journal/Files
Screening Experiments in JMP. When you have many potential factors affecting the outcome of a process, you need to find the vital few influential factors. This topic shows how the DOE and Screening platforms in JMP make it easy to discover the significant factors. See how to use the JMP Definitive Screening Design platform and graphical design diagnostics methods to yield more information in fewer trials than traditional screening designs. Video and link to slides
Building Dashboards to Access and Share Updated Analyses. JMP lets you easily build a single presentation-ready dashboard – with no scripting required – to run and present reports on a regular basis. With this feature, you can build a dashboard by combining windows or using a template. Then save and share the dashboard so you and others can run, interact with and explore the reports. This topic may cover building custom dashboards using Dashboard Builder; combining windows to create dashboards; querying and connecting to data to refresh data; adding titles and logos; incorporating filters and graphs; customizing by adding tabs, changing layout and using summaries; saving as an add-in for those who have JMP and as interactive HTML for those who don’t. Video and link to Journal/Files
Achieving Quality Control With JMP. Learn how JMP can help you achieve quality control using control charts to assess a specific process. The robust statistical analysis and data visualization in JMP let you immediately spot trends and outliers in huge data sets about your products. This topic may cover Measurement Systems Analysis, Control Chart Builder, Process Screening and Process Capability. Video and link to Journal/Files and Video and link to Journal/Files and Video and link to Journal/Files
Improving Product Reliability. In any manufacturing endeavor, product reliability strongly influences business success. Reliability tools in JMP help you prevent failure and improve warranty performance. By revealing trends and outliers in your data and model predictions, JMP helps you find important design vulnerabilities, pinpoint defects in materials or processes, and then determine how to reduce them. Video and link to Journal/Files and Video and link to Journal/Files
Enhancing Consumer and Market Research Using JMP. JMP provides a comprehensive set of tools for marketing and consumer research analysts. Session topics include text exploration of open-ended survey responses, segmentation, retention analysis, marketing campaign uplift analysis, market basket analysis, choice design and choice models, preference scoring with MaxDiff, factor analysis and perceptual maps via correspondence analysis or multidirectional scaling. Video and link to Journal/Files and Video and link to Journal/Files
Using JMP for the Life Sciences. Learn how to analyze biological data with JMP using the Graph Builder, Distribution, Fit Model, Nonlinear and Degradation platforms. Use Graph Builder and Distribution to explore data and visually test assumptions before analysis. See how to perform parallelism and equivalence, and look at relative potencies for bioassays. Discover how to find Km and Vmax for enzymes. This topic concludes by showing how you can use Stability Tests to find expiration date of potency or thresholds of impurity (same slope/intercept versus different slope/different intercept).
Exploring JMP Clinical: An Introduction. JMP Clinical software from SAS simplifies data discovery, analysis and reporting in clinical trials. This exceptional ability brings greater efficiency and accuracy to studies of safety and efficacy data at every phase of the drug development process: pre-clinical, clinical and post-market. This session will give an overview of types of reports, analyses and visuals that JMP Clinical can provide for medical monitors, medical writers, data managers and clinical operations personnel to use in the areas of adverse event/concomitant medications/labs reporting, risk-based monitoring and data quality/fraud. Video and link to Journal/Files and Video and link to Journal/Files and Video and link to Journal/Files
Exploring JMP Genomics: An Introduction. Whether you’re working in agriculture, pharmacogenomics, biotechnology or other areas of genomic research, JMP Genomics provides comprehensive tools to analyze rare and common variants, detect differential expression patterns, understand NGS data and discover reliable biomarker profiles. This session will give an overview of the types of analysis commonly performed on genetic data including SNP-trait association, Q-K mixed model analysis, QTL analysis and genomic selection (typically used for crop improvement). It will also provide an overview of JMP Genomics in gene expression analysis for protein, mRNA, miRNA and metabolite data that covers QC tools, normalization methods (intensity and count data from RNA-seq) and basic differential gene expression analysis using ANOVA.
