Here is an interview with Anne Milley, a notable thought leader in the world of analytics. Anne is now Senior Director, Analytical Strategy in Product Marketing for JMP , the leading data visualization software from the SAS Institute.
Ajay-What do you think are the top 5 unique selling points of JMP compared to other statistical software in its category?
JMP combines incredible analytic depth and breadth with interactive data visualization, creating a unique environment optimized for discovery and data-driven innovation.
With an extensible framework using JSL (JMP Scripting Language), and integration with SAS, R, and Excel, JMP becomes your analytic hub.
JMP is accessible to all kinds of users. A novice analyst can dig into an interactive report delivered by a custom JMP application. An engineer looking at his own data can use built-in JMP capabilities to discover patterns, and a developer can write code to extend JMP for herself or others.
State-of-the-art DOE capabilities make it easy for anyone to design and analyze efficient experiments to determine which adjustments will yield the greatest gains in quality or process improvement – before costly changes are made.
Not to mention, JMP products are exceptionally well designed and easy to use. See for yourself and check out the free trial at www.jmp.com.
Ajay- What are the challenges and opportunities of expanding JMP’s market share? Do you see JMP expanding its conferences globally to engage global audiences?
We realized solid global growth in 2010. The release of JMP Pro and JMP Clinical last year along with continuing enhancements to the rest of the JMP family of products (JMP and JMP Genomics) should position us well for another good year.
With the growing interest in analytics as a means to sustained value creation, we have the opportunity to help people along their analytic journey – to get started, take the next step, or adopt new paradigms speeding their time to value. The challenge is doing that as fast as we would like.
We are hiring internationally to offer even more events, training and academic programs globally.
Ajay- What are the current and proposed educational and global academic initiatives of JMP? How can we see more JMP in universities across the world (say India- China etc)?
We view colleges and universities both as critical incubators of future JMP users and as places where attitudes about data analysis and statistics are formed. We believe that a positive experience in learning statistics makes a person more likely to eventually want and need a product like JMP.
For most students – and particularly for those in applied disciplines of business, engineering and the sciences – the ability to make a statistics course relevant to their primary area of study fosters a positive experience. Fortunately, there is a trend in statistical education toward a more applied, data-driven approach, and JMP provides a very natural environment for both students and researchers.
Its user-friendly navigation, emphasis on data visualization and easy access to the analytics behind the graphics make JMP a compelling alternative to some of our more traditional competitors.
We’ve seen strong growth in the education markets in the last few years, and JMP is now used in nearly half of the top 200 universities in the US.
Internationally, we are at an earlier stage of market development, but we are currently working with both JMP and SAS country offices and their local academic programs to promote JMP. For example, we are working with members of the JMP China office and faculty at several universities in China to support the use of JMP in the development of a master’s curriculum in Applied Statistics there, touched on in this AMSTAT News article.
Ajay- What future trends do you see for 2011 in this market (say top 5)?
Growing complexity of data (text, image, audio…) drives the need for more and better visualization and analysis capabilities to make sense of it all.
More “chief analytics officers” are making better use of analytic talent – people are the most important ingredient for success!
JMP has been on the vanguard of 64-bit development, and users are now catching up with us as 64-bit machines become more common.
Users should demand easy-to-use, exploratory and predictive modeling tools as well as robust tools to experiment and learn to help them make the best decisions on an ongoing basis.
All these factors and more fuel the need for the integration of flexible, extensible tools with popular analytic platforms.
Ajay-You enjoy organic gardening as a hobby. How do you think hobbies and unwind time help people be better professionals?
I am lucky to work with so many people who view their work as a hobby. They have other interests too, though, some of which are work-related (statistics is relevant everywhere!). Organic gardening helps me put things in perspective and be present in the moment. More than work defines who you are. You can be passionate about your work as well as passionate about other things. I think it’s important to spend some leisure time in ways that bring you joy and contribute to your overall wellbeing and outlook.
Btw, nice interviews over the past several months—I hadn’t kept up, but will check it out more often!
Biography– Source- http://www.sas.com/knowledge-exchange/business-analytics/biographies.html
Anne Milley is Senior Director of Analytics Strategy at JMP Product Marketing at SAS. Her ties to SAS began with bank failure prediction at Federal Home Loan Bank Dallas and continued at 7-Eleven Inc. She has authored papers and served on committees for F2006, KDD, SIAM, A2010 and several years of SAS’ annual data mining conference. Milley is a contributing faculty member for the International Institute of Analytics. firstname.lastname@example.org
Okay, through the weekend I created a website for a few of my favourite things.
It’s on at https://rforanalytics.wordpress.com/
Graphical User Interfaces for R
Jerry Rubin said: “Don’t trust anyone over thirty
I dont trust anyone not using atleast one R GUI. Here’s a list of the top 10.
Code Enhancers for R
Here is a list of top 5 code enhancers,editors in R
R Commercial Software
A list of companies and software making (and) selling R software (and) services. Hint- it is almost 5 (unless I missed someone)
R Graphs Resources
R’s famous graphing capabilities and equally famous learning curve can be made a bit more humane- using some of these resources.
Because that’s what I do (all I do as per my cat) , and I am pretty good at it.
Using R from other Software
R can be used successfully from a lot of analytical software including some surprising ones praising the great 3000 packages library.
(to be continued- as I find more stuff I will keep it there, some ideas- database access from R, prominent R consultants, prominent R packages, famous R interviewees ;) )
ps- The quote from Jerry Rubin seems funny for a while. I turn 34 this year.
- Web Analytic Tools – Which is Right for You? (bloggingtips.com)
- OkCupid Demystifies Dating with Big Data (gigaom.com)
- Stata/SAS/SPSS – Numeric Data Services – Subject Guides at Syracuse University Library (researchguides.library.syr.edu)
- Michigan State University Libraries – Data Services – Data Analysis (lib.msu.edu)
- SPSS Guru embraces the freeware, R (ekonometrics.blogspot.com)