• 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 and R.

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