Build better models
Anyone can do a fair job of describing last year’s performance. But without the right predictive analytics tools, building a model to predict what will happen with new customers, new processes or new risks becomes much more difficult. JMP Pro offers a rich set of algorithms that lets you build better models of your data.

Improve your predictive models to help make better decisions
Enhance the power of your predictive models with various types of data, including unstructured text data you’ve collected – repair logs, engineering reports, customer survey response comments and more. You can use JMP Pro to organize and transform that data into usable additions to your predictive models, enabling more confident decision making.

Develop and manage your models more efficiently with a central modeling depot
Handling your models doesn’t have to be painful – JMP Pro makes it easy to manage your work when dealing with many models. You can store, profile, compare and generate code to add into other systems like SAS.

Use the most relevant statistical instruments to support your work
With JMP Pro, you have a collection of the most useful statistical instruments, curated by mathematicians and statisticians in JMP development. Users find what they need to analyze their data, without being overwhelmed by choices and without needing to program. Furthermore, through dynamically linked data, statistics and graphics, JMP Pro brings your investigations alive in 3-D plots or animated graphs, generating valuable new insights that simplify your explanations.

The Core Capabilities of SAS JMP

Data Acquisition
Explore data easily in many forms – import Excel files, read text files and pull data from ODBC-compliant databases.

Data Cleanup
Screen data for outliers, entry errors, missing values and other inconsistencies that can compromise your analysis.

Data Visualization
Explore and graph data dynamically, developing visualizations that tell the story of your data.

Basic Data Analysis
Use histograms, regression, distribution fitting and other analysis tools to launch data exploration.

Text Exploration
Extract words and phrases or visualize and organize words to uncover latent information in your text.

Group, Filter and Subset Data
Quickly arrange data to identify emerging patterns and focus on key findings.

Design of Experiments
Design your experiment based on the problem at hand, accounting for budget, timing and other constraints.

Statistical Modeling
Understand trends and patterns using statistical models to better learn about your business, competition and customers.

What-if Analysis
Demonstrate patterns of predicted response and the effect of each factor on the response with scenario analysis.

Reliability Analysis
Gain insight into product performance, pinpoint defects in materials or processes, and address design vulnerabilities.

Quality and Process Engineering
Use JMP to enhance quality – minimize customer complaints and deliver products and services that exceed expectations.

Consumer and Market Research
Understand and adapt to evolving markets using data mining, survey analysis, choice experiments and other tools.

Sharing Results
Share your dynamic visualizations in a variety of formats, whether your audience has JMP or not.

Automation and Scripting
Use scripting to automate processes, regenerate analysis reports and add new JMP capabilities.

Making JMP Your Own
Customize every aspect of JMP settings to work the way you think.

Analytics Hub
Use the JMP interface to leverage other analytics tools, such as SAS®, MATLAB, R and Python.

The Key Features of SAS JMP Pro

Predictive Modeling and Cross-Validation
Use the JMP Pro set of rich algorithms to build and validate your models more effectively.

Model Screening and Comparison
Build a variety of models and determine the best for the problem you are trying to solve.

Formula Depot and Score Code
Organize your models and save model score code in the Formula Depot.

Connect to the Richness of SAS
Easily access the depth of SAS Analytics and data integration.

Modern Modeling
Use new modeling techniques, including Generalized Regression, to build better models, even with challenging data.

Functional Data Analysis
Create models of data that are functions, signals or series with Functional Data Explorer (FDE).

Reliability Block Diagrams
Easily fix weak spots in your system and be better informed to prevent future system failures.

Repairable Systems Simulation
Simulate system repair events to understand downtime and number and cost of repairable events.

Covering Arrays
Design your experiment to maximize the probability of finding defects while minimizing cost and time.

Term Selection and Sentiment Analysis
Use your unstructured data to identify terms associated with a response and explore basic sentiment.

Mixed Models
Analyze data involving both time and space, where multiple subjects are measured or groups of variables are correlated.

Uplift Models
Predict consumer segments most likely to respond favorably to an action, allowing targeted marketing decisions.

Advanced Computational Statistics
Use exact statistical tests, exact non-parametric statistical tests and bootstrapping statistics.

Share and Communicate Results
Share discoveries in dynamically linked data that comes alive in animated graphs, 3-D plots and interactive reports.

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