Civilian Government

Manipulate data with ease and run statistical analyses such as multiple regressions, contingency models, ANOVAs and survival analysis.

Prominent University of Minnesota ecologist conducts complex scientific experiments.

Evaluate cumbersome data sets for detailed reports that include statistics with a range of information such as population numbers, emissions testing, health information, energy production and weather-related events – all of which have an impact on future policy.

View a webcast on shaping your data with JMP.

Dynamic graphics communicate important information to senior level members of an organization in a clear, efficient manner.

View a webcast on sharing your analyses and outputs with JMP.

Monitor patterns in data that may indicate or predict national threats, providing opportunities to safeguard people, property, critical infrastructure and the economy from acts of terrorism, natural disasters and other emergencies.

Understand predictive analytics techniques with this webcast and white paper.

Visualize and track trends; engage in constant analysis of natural resources.

The US Department of Agriculture’s Animal and Plant Health Inspection Service controls the spread of invasive species.

Employ dynamic graphics like the Bubble Plot to understand energy usage and how to improve efficiency.

Researcher assesses the carbon footprint of the University of North Carolina at Chapel Hill.

Pioneer space exploration with calibration, validation and analysis methods both during and after a completed mission.

Review clinical trial submissions in an easy-to-use format with JMP Clinical, JMP is the most commonly used tool by US Food and Drug Administration medical reviewers.

Read more about JMP and the drug discovery and development pathway.

Draw upon the in-depth features offered in JMP Genomics, including microarray analysis for pathogen research.

US Department of Agriculture researchers weed out pathogens in corn.

Pinpoint and visualize the true drivers of organizational financial performance.

Build accurate predictive models to forecast future performance and explore what-if scenarios to aid decision making.

View, compare and prioritize possible projects in terms of critical criteria such as risk, return and resources.

Analyze appropriate budget performance data to find meaningful trends.

Remain accountable for performance measures with Graph Builder, trend analysis and scorecarding within Strategic Performance Management from SAS.

Conduct cost-benefit analyses by examining patterns of change through time, pointing to break-even points, predicting future events and bringing return on investment.

View the webcast Visualizing Change: An Innovation in Time-Series Analysis.

Utilize capabilities for design of experiments, predictive analytics, interactive analysis and reporting, so you can identify emerging issues, determine their root causes and resolve them.

View the webcast on exploring reliability.