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Here is an interview with Anne Milley,Sr Director, Analytic Strategy, JMP.
Ajay- Review – How was the year 2012 for Analytics in general and JMP in particular?
Anne- 2012 was great! Growing interest in analytics is evident—more analytics books, blogs, LinkedIn groups, conferences, training, capability, integration…. JMP had another good year of worldwide double-digit growth.
Ajay- Forecast- What is your forecast for analytics in terms of top 5 paradigms for 2013?
Anne- In an earlier blog, I had predicted we will continue to see more lively data and information visualizations—by that I mean more interactive and dynamic graphics for both data analysts and information consumers.
We will continue to hear about big data, data science and other trendy terms. As we amass more and more data histories, we can expect to see more innovations in time series visualization. I am excited by the growing interest we see in spatial and image analysis/visualization and hope those trends continue—especially more objective, data-driven image analysis in medicine! Perhaps not a forecast, but a strong desire, to see more people realize and benefit from the power of experimental design. We are pleased that more companies—most recently SiSoft—have integrated with JMP to make DOE a more seamless part of the design engineer’s workflow.
Ajay- Cloud- Cloud Computing seems to be the next computing generation. What are JMP plans for cloud computing?
Anne- With so much memory and compute power on the desktop, there is still plenty of action on PCs. That said, JMP is Citrix-certified and we do see interest in remote desktop virtualization, but we don’t support public clouds.
Ajay- Events- What are your plans for the International Year of Statistics at JMP?
Anne- We kicked off our Analytically Speaking webcast series this year with John Sall in recognition of the first-ever International Year of Statistics. We have a series of blog posts on our International Year of Statistics site that features a noteworthy statistician each month, and in keeping with the goals of Statistics2013, we are happy to:
- increase awareness of statistics and why it’s essential,
- encourage people to consider it as a profession and/or enhance their skills with more statistical knowledge, and
- promote innovation in the sciences of probability and statistics.
Both JMP and SAS are doing a variety of other things to help celebrate statistics all year long!
Ajay- Education Training- How does JMP plan to leverage the MOOC paradigm (massive open online course) as offered by providers like Coursera etc.?
Anne- Thanks to you for posting this to the JMP Professional Network on LinkedIn, where there is some great discussion on this topic. The MOOC concept is wonderful—offering people the ability to invest in themselves, enhance their understanding on such a wide variety of topics, improve their communities…. Since more and more professors are teaching with JMP, it would be great to see courses on various areas of statistics (especially since this is the International Year of Statistics!) using JMP. JMP strives to remove complexity and drudgery from the analysis process so the analyst can stay in flow and focus on solving the problem at hand. For instance, the one-click bootstrap is a great example of something that should be promoted in an intro stats class. Imagine getting to appreciate the applied results and see the effects of sampling variability without having to know distribution theory. It’s good that people have options to enhance their skills—people can download a 30-day free trial of JMP and browse our learning library as well.
Ajay- Product- What are some of the exciting things JMP users and fans can look forward to in the next releases this year?
Anne- There are a number of enhancements and new capabilities planned for new releases of the JMP family of products, but you will have to wait to hear details…. OK, I’ll share a few! JMP Clinical 4.1 will have more sophisticated fraud detection. We are also excited about releasing version 11 of JMP and JMP Pro this September. JMP’s DOE capability is well-known, and we are pleased to offer a brand new class of experimental design—definitive screening designs. This innovation has already been recognized with The 2012 Statistics in Chemistry Award to Scott Allen of Novomer in collaboration with Bradley Jones in the JMP division of SAS. You will hear more about the new releases of JMP and JMP Pro at Discovery Summit in San Antonio—we are excited to have Nate Silver as our headliner!
Anne Milley directs analytic strategy in JMP Product Marketing at SAS. Her ties to SAS began with bank failure prediction at FHLB Dallas. Using SAS continued at 7-Eleven Corporation in Strategic Planning. She has authored papers and served on committees for SAS Education conferences, KDD, and SIAM. In 2008, she completed a 5-month assignment at a UK bank. Milley completed her M.A. in Economics from Florida Atlantic University, did post-graduate work at RWTH Aachen, and is proficient in German.
Introduced in 1989, JMP has grown into a family of statistical discovery products used worldwide in almost every industry. JMP is statistical discovery software that links dynamic data visualization with robust statistics, in memory and on the desktop. From its beginnings, JMP software has empowered its users by enabling interactive analytics on the desktop. JMP products continue to complement – and are often deployed with – analytics solutions that provide server-based business intelligence.
To kill all birds with one software, it is integrated with R and SAS, and the brochure frankly lists all the qualities. Why am I excited for JMP 9 integration with R and with SAS- well it integrates bigger datasets manipulation (thanks to SAS) with R’s superb library of statistical packages and a great statistical GUI (JMP). This makes JMP the latest software apart from SAS/IML, Rapid Miner,Knime, Oracle Data Miner to showcase it’s R integration (without getting into the GPL compliance need for showing source code- it does not ship R- and advises you to just freely download R). I am sure Peter Dalgaard, and Frankie Harell are all overjoyed that R Base and Hmisc packages would be used by fellow statisticians and students for JMP- which after all is made in the neighborhood state of North Carolina.
Best of all a JMP 30 day trial is free- so no money lost if you download JMP 9 (and no they dont ask for your credit card number, or do they- but they do have a huuuuuuge form to register before you download. Still JMP 9 the software itself is more thoughtfully designed than the email-prospect-leads-form and the extra functionality in the free 30 day trial is worth it.
Also see “New Features in JMP 9
which has this regarding R.
Working with R
R is a programming language and software environment for statistical computing and graphics. JMP now supports a set of JSL functions to access R. The JSL functions provide the following options:
• open and close a connection between JMP and R
• exchange data between JMP and R
•submit R code for execution
•display graphics produced by R
JMP and R each have their own sets of computational methods.
R has some methods that JMP does not have. Using JSL functions, you can connect to R and use these R computational methods from within JMP.
Textual output and error messages from R appear in the log window.R must be installed on the same computer as JMP.
Because JMP is supported as both a 32-bit and a 64-bit Windows application, you must install the corresponding 32-bit or 64-bit version of R.
For details, see the Scripting Guide book.
and the download trial page ( search optimized URL) -
In related news (Richest man in North Carolina also ranks nationally(charlotte.news14.com) , Jim Goodnight is now just as rich as Mark Zuckenberg, creator of Facebook-
though probably they are not creating a movie on Jim yet (imagine a movie titled “The Statistical Software” -not just the same dude feel as “The Social Network”)
See John’s latest interview :
Interview John Sall Founder JMP/SAS Institute
SAS Early Days
- New JMP Software Version Extends Analytic Options (eon.businesswire.com)
- Using JMP 9 and R together (r-bloggers.com)
- JMP 9 releasing on Oct 12 (r-bloggers.com)
- SAS Continues to Expand Analytics Options with Additional R Integration (eon.businesswire.com)
- SAS R&D Director to Be President of the American Statistical Association (eon.businesswire.com)
- Example 8.9: Contrasts (r-bloggers.com)
- New Deal in Statistical Training (r-bloggers.com)
JMP 9 releases on Oct 12- it is a very good reliable data visualization and analytical tool ( AND available on Mac as well)
AND IT is advertising R Graphics as well (lol- I can visualize the look on some ahem SAS fans in the R Project)
Updated Pricing- note I am not sure why they are charging US academics 495$ when SAS On Demand is free for academics. Shouldnt JMP be free to students- maybe John Sall and his people can do a tradeoff analysis for this given JMP’s graphics are better than Base SAS (which is under some pressure from WPS and R)
*Offer good in the U.S. only.
From- the mailer-
|Be First in Line for JMP® 9
Save up to $300 when you pre-order a
single-user license by Oct. 11
Make JMP your analytic hub for visual data discovery with this special offer, good through Oct. 11, 2010. Pre-order a single-user license of JMP 9 – for a discount of up to $300 – and get ready for a leap in data interactivity.
Order now and enjoy the compelling new features of JMP 9 when the software is released Oct. 12. New capabilities in JMP 9 let you:
What if I already have a JMP 8 single-user license?
What if I’m an annual license customer?
What if I work or study in the academic world?
Please feel free to forward this offer to interested colleagues.
Got two or more users?
Remember: Act by Oct. 11!
JMP runs on Macintosh and Windows
Here is an interview with John Sall, inventor of SAS and JMP and co-founder and co-owner of SAS Institute, the largest independent business intelligence and analytics software firm. In a free wheeling and exclusive interview, John talks of the long journey within SAS and his experiences in helping make JMP the data visualization software of choice.
JMP is perfect for anyone who wants to do exploratory data analysis and modeling in a visual and interactive way – John Sall
Ajay- Describe your early science career. How would you encourage today’s generation to take up science and math careers?
John- I was a history major in college, but I graduated into a weak job market. So I went to graduate school and discovered statistics and computer science to be very captivating. Of course, I grew up in the moon-race science generation and was always a science enthusiast.
Ajay- Archimedes leapt out the bath shouting “Eureka” when he discovered his principle. Could you describe a “Eureka” moment while creating the SAS language when you and Jim Goodnight were working on it?
John- I think that the moments of discovery were more like “Oh, we were idiots” as we kept having to rewrite much of the product to handle emerging environments, like CMS, minicomputers, bitmap workstations, personal computers, Windows, client-server, and now the cloud. Several of the rewrites were even changing the language we implemented it in. But making the commitment to evolve led to an amazing sequence of growth that is still going on after 35 years.
Ajay- Describe the origins of JMP. What specific market segments does the latest release of JMP target?
John- JMP emerged from a recognition of two things: size and GUI. SAS’ enterprise footprint was too big a commitment for some potential users, and we needed a product to really take advantage of graphical interactivity. It was a little later that JMP started being dedicated more to the needs of engineering and science users, who are most of our current customers.
Ajay- What other non-SAS Institute software do you admire or have you worked with? Which areas is JMP best suited for? For which areas would you recommend software other than JMP to customers?
John- My favorite software was the Metrowerks CodeWarrior development environment. Sadly, it was abandoned among various Macintosh transitions, and now we are stuck with the open-source GCC and Xcode. It’s free, but it’s not as good.
JMP is perfect for anyone who wants to do exploratory data analysis and modeling in a visual and interactive way. This is something organizations of all kinds want to do. For analytics beyond what JMP can do, I recommend SAS, which has unparalleled breadth, depth and power in its analytic methods.
Ajay- I have yet to hear of a big academic push for JMP distribution in Asia. Are there any plans to distribute JMP for free or at very discounted prices in academic institutions in countries like India, China or even the rest of the USA?
John- We are increasing our investment in supporting academic institutions, but it has not been an area of strength for us. Professors seem to want the package they learned long ago, the language that is free or the spreadsheet program their business students already have. JMP’s customers do tell us that they wish the universities would train their prospective future employees in JMP, but the universities haven’t been hearing them. Fortunately, JMP is easy enough to pick up after you enter the work world. JMP does substantially discount prices for academic users.
Ajay- What are your views on tech offshoring, given the recession in the United States?
John- As you know, our products are mostly made in the USA, but we do have growing R&D operations in Pune and Beijing that have been performing very well. Even when the software is authored in the US, considerable work happens in each country to localize, customize and support our local users, and this will only increase as we become more service-oriented. In this recession, JMP has still been growing steadily.
Ajay- What advice would you give to young graduates in this recession? How does learning JMP enhance their prospect of getting a job?
John- Quantitative fields have been fairly resistant to the recession. North Carolina State University, near the SAS campus, even has a Master of Science in Analytics <
> to get people job-ready. JMP experience certainly helps get jobs at our major customers.
Ajay- What does John Sall do in his free time, when not creating world-class companies or groovy statistical discovery software?
John- I lead the JMP division, which has been a fairly small part of a large software company (SAS), but JMP is becoming bigger than the whole company was when JMP was started. In my spare time, I go to meetings and travel with the Nature Conservancy <
>, North Carolina State University <http://
>, WWF <
>, CARE <
> and several other nonprofit organizations that my wife or I work with.
John Sall is a co-founder and Executive Vice President of SAS, the world’s largest privately held software company. He also leads the JMP business division, which creates interactive and highly visual data analysis software for the desktop.
Sall joined Jim Goodnight and two others in 1976 to establish SAS. He designed, developed and documented many of the earliest analytical procedures for Base SAS® software and was the initial author of SAS/ETS® software and SAS/IML®. He also led the R&D effort that produced SAS/OR®, SAS/QC® and Version 6 of Base SAS.
Sall was elected a Fellow of the American Statistical Association in 1998 and has held several positions in the association’s Statistical Computing section. He serves on the board of The Nature Conservancy, reflecting his strong interest in international conservation and environmental issues. He also is a member of the North Carolina State University (NCSU) Board of Trustees. In 1997, Sall and his wife, Ginger, contributed to the founding of Cary Academy, an independent college preparatory day school for students in grades 6 through 12.
Sall received a bachelor’s degree in history from Beloit College in Beloit, WI, and a master’s degree in economics from Northern Illinois University in DeKalb, IL. He studied graduate-level statistics at NCSU, which awarded him an honorary doctorate in 2003.
Originally nicknamed as John’s Macintosh Program, JMP is a leading software program in data visualization for statistical software. Researchers and engineers – whose jobs didn’t revolve solely around statistical analysis – needed an easy-to-use and affordable stats program. A new software product, today known as JMP®, was launched in 1989 to dynamically link statistical analysis with the graphical capabilities of Macintosh computers. Now running on all platforms, JMP continues to play an important role in modeling processes across industries as a desktop data visualization tool. It also provides a visual interface to SAS in an expanding line of solutions that includes SAS Visual BI and SAS Visual Data Discovery. Sall remains the lead architect for JMP.
Ajay- I am thankful to John and his marketing communication specialist Arati for this interview.With an increasing focus on data to drive more rational decision making, SAS remains an interesting company to watch for in the era of mega- vendors and any SAS Institute deal and alliance will be making potential investment bankers as well as newer customers drool. For previous interviews and coverage of SAS please use www.decisionstats.com/tag/sas