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JMP For:
Analytical Application Development
Data Mining
Data Visualization
Design of Experiments
Exploratory Data Analysis
Modeling and Predictive Analytics
Quality Improvement
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Six Sigma
Statistics

JMP® for Data Visualization

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Data is everywhere in organizations, and it’s growing and becoming increasingly difficult to manage. Every day, businesses deal with the consequences of this challenge – missed opportunities to reduce expenses and increase profits. Attempts to understand data through reports that show just text and numbers are ineffective and disappointing. Although static graphs have dominated reports and presentations for years, they offer only limited insight. In contrast, dynamic graphs you can interact with enable you to quickly navigate your data and spot trends and patterns that lead to cost cuts or profit opportunities.

To influence decision makers, information must not only be clear and concise, but also compelling. Convincing evidence that stirs emotions shapes decisions. Using dynamic graphs that reveal the story behind your data allows you to better convey findings and spur decision makers to take timely action.

Because resources are scarce and expensive, making ill-informed decisions is always costly and is often irrevocable. What-if analysis and scenario planning with JMP help you visualize and explore potential outcomes before you commit time and resources in your business, rather than simply hoping for the best.

  • Geographic Maps
  • Density Graphs
  • Excel and JMP Together

You can add maps to all relevant JMP graphs. Use high-quality maps built in to JMP, or use your favorite Web Map Service to get custom map images on the fly. And you can go beyond geographic mapping in JMP: Add your own shapes, such as for a manufacturing plant, office building or retail store.

A world map built in to JMP 9 displays the numbers of swine flu cases globally.

A world map built in to JMP displays the numbers of swine flu cases globally.

You may need to see your data in more detail than simple bar or line graphs provide. It may be helpful to understand where the data concentrates and where it is more sparse. Use the innovative point-and-click interface of Graph Builder to display the density of your data without having to display all the individual data points. Density or contour graphs show how your data is spread across multiple variables.

This density graph shows the average spend and velocity of credit card usage by spend category and customer type.

This density graph shows the average spend and velocity of credit card usage by spend category and customer type.

You can use your Microsoft Excel spreadsheets to conduct what-if analysis and analyze potential outcomes. Using the new JMP Add-In for Excel, simply specify the inputs and outputs on your spreadsheet, and launch the JMP Profiler. JMP uses the Excel spreadsheet to recalculate results as you adjust the inputs using a slide bar. You can also perform Monte Carlo simulation to predict potential outcomes based on your targets.

The interactive JMP Profiler is used here with an Excel spreadsheet to analyze retirement savings.

The interactive JMP Profiler is used here with an Excel spreadsheet to analyze retirement savings.

Selected JMP capabilities in the area of Data Visualization
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