Pro: Jmp 17
One overlooked feature is the Score Code generator. After building a boosted tree model in JMP 17 Pro, you can export that model as:
No other GUI-based statistical software offers this level of deployment portability. Your JMP 17 Pro model can go directly into production.
First, it is crucial to distinguish between the standard JMP 17 and JMP 17 Pro. While the standard version is ideal for basic statistical analysis and visualization, the "Pro" designation unlocks advanced predictive modeling, cross-validation tools, and the ability to handle massive datasets that exceed memory limits.
JMP 17 Pro is specifically designed for:
If your work involves predicting rare events, optimizing complex systems, or validating models against overfitting, JMP 17 Pro is the tool you need.
For engineers dealing with vibration data, spectrometers, or growth curves, the FDE is indispensable. JMP 17 Pro adds "Functional Principal Components Analysis (FPCA)" with improved sparse estimation. You can now decompose curves into shape features (amplitude, phase, baseline shift) and model these features against process inputs. For example, a semiconductor engineer can now model how oven temperature curves (not just averages) affect wafer yield.
One of the most celebrated updates in version 17 is the rebuilt Formula Editor. It now features syntax highlighting, auto-completion, and live error checking. For users who write complex conditional statements or custom statistical functions, this update transforms scripting from a chore into a fluid, code-like experience without leaving the visual environment.
If you share specific outputs from JMP 17 Pro (screenshots, tables, or data structure), I can help you write the interpretation and narrative for the report.
0;1052;0;2cb; 0;d7;0;f1; 0;88;0;98; 0;279;0;17a; 0;1159;0;b19;
18;write_to_target_document1a;_0ALuaaL6OcOiptQP2YqbgQ8_10;56;
18;write_to_target_document1a;_0ALuaaL6OcOiptQP2YqbgQ8_20;56; 0;aea;0;435;
JMP 17 Pro, released in October 2022, is the advanced version of the JMP statistical discovery software. It builds upon the core features of JMP 17—such as the Workflow Builder for reproducible analysis and Easy DOE for guided experiment design—by adding sophisticated predictive modeling and specialized analytical tools0;bb7;0;809;. 0;16;
18;write_to_target_document7;default0;822;18;write_to_target_document1a;_0ALuaaL6OcOiptQP2YqbgQ8_20;92;0;a3; 0;baf;0;64b; Key Features and Enhancements 0;16;
JMP 17 Pro introduced several high-impact platforms and improvements: 0;16; 0;4f8;0;412; jmp 17 pro
Workflow Builder: A point-and-click tool that lets you record, document, and share reproducible analysis sequences.
Genomics and Wide Data0;407;: Optimized performance for tables with thousands of variables, including new platforms like Marker Statistics, Marker Simulation, and Multivariate Embedding.
Advanced Modeling0;449;: Includes Generalized Regression enhancements like SVEM (Self-Validated Ensemble Models) for small data or mixture experiments.
Text Explorer Upgrades: While standard JMP handles basic word clouds and term frequency, JMP Pro 17 offers advanced text mining like Latent Semantic Analysis (LSA)0;b06;, Topic Analysis, and Sentiment Analysis.
Functional Data Analysis: Tools for analyzing spectral data or other data that occurs as a continuous function or curve. 0;2a;
18;write_to_target_document7;default0;4c0;18;write_to_target_document1a;_0ALuaaL6OcOiptQP2YqbgQ8_20;111f; JMP Pro vs. Standard JMP 0;16;
JMP Pro is designed for more complex data challenges. Key differences include: 0;16;
Predictive Analytics: Automated decision-tree building in the Partition platform and cross-validated stepwise regression.
Advanced Regression0;c1d;: Partial Least Squares (PLS) and structural equation modeling (SEM) are specialized for the Pro version.
Simulation & Fitting: More robust tools for simulating data and fitting models to complex datasets. 18;write_to_target_document7;default0;822;18;write_to_target_document1a;_0ALuaaL6OcOiptQP2YqbgQ8_20;2a; Practical Resources 0;16;
18;write_to_target_document1b;_0ALuaaL6OcOiptQP2YqbgQ8_100;57; 0;996;0;61d; 0;26c;0;7f3; 0;292b;0;3596; JMP Academic Webinar – Teaching Text Mining
Exploring the Power of JMP 17 Pro: A Modern Standard for Advanced Statistical Analysis
In the rapidly evolving world of data science, having the right tools to navigate complex datasets is essential. JMP 17 Pro, developed by the JMP subsidiary of SAS Institute, has emerged as a cornerstone for scientists, engineers, and researchers seeking a bridge between simple spreadsheets and heavy-duty coding environments. This version introduces more enhancements and new platforms than any previous release, solidifying its place as a top-tier choice for predictive modeling and exploratory data analysis. What Sets JMP 17 Pro Apart? One overlooked feature is the Score Code generator
While the standard JMP software is excellent for visual exploration and basic statistics, the Pro version is specifically designed for the needs of data scientists. It extends the base capabilities with advanced predictive modeling, cross-validation techniques, and tools specifically tailored for "wide data"—datasets with thousands of variables often found in genomics and manufacturing. Key Capabilities of JMP 17 Pro:
Predictive Analytics: Features like Model Screening allow users to build and compare multiple candidate models (such as neural networks and decision trees) simultaneously to find the best fit.
Genomics and Wide Data: A major breakthrough in version 17 is the ability to perform high-speed genomic data analysis directly within the software, moving away from previous dependencies on a SAS backend.
Advanced Automation: Tools like the Workflow Builder enable users to record and automate repetitive data preparation and analysis tasks without writing a single line of code. New Features in the JMP 17 Release
The release of JMP 17 Pro brought several transformative tools that simplify complex workflows:
If you are new to JMP, the JMP 17 Pro interface includes an integrated "Learning Center" dashboard. Click the blue "JMP" icon (top left) and select "Help > JMP Learning Library."
For existing users upgrading from JMP 16 Pro:
SAS offers a free 30-day trial of JMP 17 Pro on their official website. The trial includes full Pro features (no crippled model-building), making it easy to benchmark your specific workflow.
For the individual statistician, JMP 17 Pro is likely overkill; the standard JMP 17 would suffice. However, for the enterprise analyst, research scientist, or quality engineer who needs to move beyond basic hypothesis testing into predictive, high-dimensional analytics, JMP 17 Pro is arguably the best desktop software on the market today.
Its strength lies not in doing one thing better than R or Python (it often doesn't), but in doing everything with a cohesive, visual, and interactive interface. The reduction in friction between thinking of a question and seeing the answer is unmatched. With version 17, SAS has turned JMP Pro from a statistical package into a true visual laboratory for data discovery.
If your organization struggles with "shadow IT" (spreadsheets) or "analysis paralysis" (waiting for the data science team), deploying JMP 17 Pro to your engineers and analysts will democratize advanced analytics. It is rare to find a piece of software that simultaneously satisfies the needs of the C-suite (governance, reproducibility), the statistician (power, algorithms), and the business user (ease of use). JMP 17 Pro is that rare product.
To download a free 30-day trial of JMP 17 Pro, visit the official SAS/JMP website. Academic discounts are available for qualified institutions.
JMP 17 Pro and the base JMP 17 release brought significant updates focused on automation, ease of use, and advanced modeling. JMP User Community No other GUI-based statistical software offers this level
Here is a compiled guide highlighting the most useful features and practical applications introduced in JMP 17 Pro 🚀 Top Workflow & Usability Features
These features are available in both JMP 17 and JMP Pro 17 to streamline daily data tasks: Workflow Builder:
A point-and-click macro recorder. As you interactively clean data and build reports, it documents your steps and creates a visual script. You can replay it on new datasets, making your analyses instantly reproducible. JMP Search:
An in-app search bar that lets you quickly locate statistical tests, menu items, sample data, and red-triangle options without digging through menus. Table Operations Preview:
When joining, concatenating, stacking, or splitting tables, JMP now gives you a live preview of the resulting data table before you click "OK".
A guided, step-by-step platform for Design of Experiments. It walks beginners and experts alike through defining factors, choosing a design, entering data, and analyzing results. JMP User Community 🧠 Advanced Modeling in JMP Pro 17
JMP Pro is specifically built for advanced users, predictive modeling, and handling complex or high-dimensional data. Key additions include: Wavelet Modeling in Functional Data Explorer (FDE):
While B-Splines and P-Splines were previously used for spectral data, JMP Pro 17 added Wavelets. This is highly effective for chemometrics and spectroscopy because wavelets are far superior at fitting data with multiple, sharp peaks. Generalized Linear Mixed Models (GLMM):
This combines the power of Generalized Linear Models (for non-normal data like counts or proportions) and Mixed Models (handling random effects like blocking or repeated measures) into one seamless personality under the Direct Genomic Data Analysis:
JMP Pro 17 removed the legacy requirement of a SAS backend for heavy genomic computations. It allows direct handling of massive, "wide" datasets (thousands of columns) locally with optimized speed. Multivariate Embedding:
Includes algorithms like t-SNE. This allows you to map extremely high-dimensional datasets into a 2D or 3D visual space, preserving local structures so you can visually spot natural data clusters. JMP User Community 📖 Useful Official Resources
To dive deeper or see these tools in action, you can utilize these native platforms: Browse the full library of recorded masterclasses on the JMP Learning Library Read the comprehensive Genomics and Wide Fitting Data Article
on the JMP User Community blog to see how the software handles massive column processing. JMP User Community specific tool like the Workflow Builder or Wavelet Modeling? JMP User Community Genomics and wide fitting data in JMP Pro 17
While previous versions had a basic model comparison, JMP 17 Pro adds ensemble modeling. You can now run 15 different models (Logistic, Decision Tree, Neural, XGBoost) simultaneously. The new "Model Comparison" platform uses cross-validation by default, showing you which model will actually generalize to new data—not just fit your training set.