New JMP® software version extends analytic options
Also new, JMP Pro adds data mining techniques for creating predictive models
CARY, NC (Oct. 12, 2010) – The latest version of statistical discovery software, which starts shipping today, embraces users of Microsoft Excel and the R open-source statistical programming language. Business analytics leader SAS also announced today the Nov. 16 release of JMP Pro, a new product that adds capabilities for advanced analytics users who need data mining techniques to build robust predictive models. JMP Pro is part of a broad predictive analytics offering from SAS.
Users of JMP 9 can visualize geographic data on maps, explore risk and what-if scenarios using Excel spreadsheets, and predict product quality with a new Degradation platform. JMP 9 also makes it easier for users to make and share add-ins – custom analytic applications – to extend analytics throughout their organizations and the JMP user community. Add-ins enhance the capabilities of JMP and introduce exciting ways to use JMP’s interactive graphics and statistical tools.
“JMP 9 is a great piece of software! I am a true fan of JMP and especially JMP 9,” said Bill Worley, Technology Leader, The Procter & Gamble Co.
“Because it easily connects to SAS, Excel and R, JMP 9 will quickly become our customers’ analytic hub. JMP Pro is the product our advanced users have been clamoring for, enabling them to take advantage of techniques like bootstrap forests and boosted trees,” said Jeff Perkinson, JMP Product Manager.
With JMP 9, organizations can:
Integrate JMP and Excel: Analysts can visually and interactively explore what-if scenarios with the JMP Profiler as Excel calculates the model in the background. The simulator built into the Profiler provides instant insight into the key factors influencing risk.
Map geographic data: Users can uncover patterns in geographic data, choosing from built-in maps, importing images from a Web Map Service and even adding custom shapes, such as a store, factory or campus.
Interface with R: R users can now display analytic results as JMP’s interactive graphics and access JMP and SAS Analytics. R programmers can also build user interfaces to deliver their programs to a broader audience.
Apply powerful data mining and modeling techniques: Users can mine and model data with greater accuracy and flexibility using the revamped Neural platform in JMP, or move to JMP Pro for such options as cross-validation and automated handling of missing values. Both the Neural and Partition platforms in JMP Pro use the train, validate and test methodology.
Make and share custom add-ins: Users can create JMP add-ins to enhance the capabilities of JMP and share within their organizations or at www.jmp.com/addins.
Leverage other new capabilities: The new Degradation platform enables engineers to analyze product deterioration data over time to help predict product quality and warranty risk. An updated interface for Microsoft Windows makes each window in JMP independent of others so users can flexibly arrange windows. Users can save histograms in the Distribution platform for the Adobe Flash platform to include in presentations and Web pages.
Other key quotes:
“I am really impressed with the new features added to JMP 9. This is a great improvement and makes JMP more useful for data mining applications,” said Michael Conerly, PhD, Head of Department of Information Systems, Statistics, and Management Science, Culverhouse College of Commerce, University of Alabama at Tuscaloosa.
On bootstrap forests in JMP Pro: “Another great example of JMP listening to its customers and responding to their requests. This is another great reason why JMP will continue to be a leader in interactive data analysis,” said Nelson Lee Afanador, Senior Project Statistician, Center for Mathematical Sciences, Merck, Sharp & Dohme Corp.
On the R interface: “I’m very positive about the new R interface, which lets me consolidate my analytics work in JMP. I have the power of JMP exploratory tools to begin the analysis. Then, I can bring in specialized, nontraditional Bayesian tools from the R environment. Finally, I can verify convergence and summarize results with JMP analysis and graphics without having to document code from multiple platforms. This is an important addition to JMP,” said Dave LeBlond, PhD, Principal Research Statistician, Abbott Global Pharmaceutical R&D.
On JMP add-ins: “My initial reaction – WOW! This transforms the ability to distribute JSL [JMP Scripting Language] programs and, therefore, the value that JMP will give to users,” said David Burnham, Pega Analytics.
A fully functional 30-day trial of JMP 9 is available as a free download from the JMP website.
JMP is a business unit of SAS, established in 1989 to create interactive software for desktop discovery analytics. John Sall, SAS co-founder and Executive Vice President, also heads the JMP business unit.
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions delivered within an integrated framework, SAS helps customers at more than 45,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world
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Use the new JMP Add-In for Microsoft Excel to conduct what-if analysis using JMP’s Prediction Profiler.
Construct graphs interactively and see many dimensions in one graph. You get instantaneous feedback as you drag and drop, exploring your data and making comparisons.
Visualize your geographic data over time in a graphic that combines a Bubble Plot and a high-quality built-in map image.
JMP 9 brings the interactive graphics and deep statistics of JMP to R users to enhance the analytic experience by providing flexible, dynamic visualization.
The Degradation platform for repeated-measures analysis can generate pseudo-failures for further analysis with the Life Distribution and Fit Life by X platforms.