Interview Anne Milley JMP

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!

About-

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.

JMP-

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.

RGoogleAnalytics Package Updated! Works for OAuth 2.0 #rstats

Only the Linux version of the updated package is here , but for Windows users (like say 80% of the USERs) you can just source the 2 R files within the package sub structure after unzipping the downloaded tar.z file TWICE. The package takes care of taking you to the correct link for authentication after the line access_token <- query$authorize(), you need to

1) sign in to your Google account

2) click grant access (blue button)

3) click exchange tokens (blue button)

4) paste the access token at the prompt specified within the R console

access tokens stay active for 3600 seconds !



library(rjson)
library(RCurl)
source('C:\\Users\\KUs\\Desktop\\RGoogleAnalytics_1.2.tar\\RGoogleAnalytics\\R\\QueryBuilder.R')
source('C:\\Users\\KUs\\Desktop\\RGoogleAnalytics_1.2.tar\\RGoogleAnalytics\\R\\RGoogleAnalytics.R')
query <- QueryBuilder()
access_token <- query$authorize()

ga <- RGoogleAnalytics()
ga.profiles <- ga$GetProfileData(access_token)
ga.profiles
query$Init(start.date = "2012-06-18",
           end.date = "2012-12-18",
           dimensions = "ga:date,ga:pagePath",
           metrics = "ga:visits,ga:pageviews,ga:timeOnPage",
           sort = "ga:visits",
           #filters="",
           #segment="",
           max.results = 99,
           table.id = paste("ga:",ga.profiles$id[3],sep="",collapse=","),
           access_token=access_token)
# 4. Make a request to get the data from the API
ga.data <- ga$GetReportData(query)# 5. Look at the returned data
head(ga.data)

Created by Pretty R at inside-R.org

Interested in using R for Web Analytics? Use it from here http://code.google.com/p/r-google-analytics/

Great work by the Google team (Michael Pearmain et al) and Tatvic team working together!

Download all your tweets

Now that the Government of the United States of America has the legal power to request your information without a warrant (The Chinese love this!)

Anyways- you can also download your own twitter data. Liberate your data.

Have you looked at your own data? Go there at https://twitter.com/settings/account and review the changes.

DECISION STATS

Image source-http://www.icondrawer.com/free.php

HAPPY VAL&TINE DAY

Google Gets Painter Robert Indiana To Doodle Valentine Doodle (searchenginewatch.com)
Spammers feel the love on Valentine’s Day (commtouch.com)
Valentines Day virus, beware! (panasianbiz.com)
Happy Valentine’s Day – 2011

View original post

SAS Thought Leader declares war on data scientists on Valentine Eve

It all started because of the Google Guy, Hal Varian

Feb 25, 2009 – I keep saying the sexy job in the next ten years will be statisticians. … Hal Varian, The McKinsey Quarterly, January 2009. …

Then these guys ( Thomas H. Davenport and D.J. Patil) made us sexy -that too in the Harvard Business Review.

Jill Dyche* is a thought leader. That’s what her job says. that too at SAS which took over her start-up Baseline Consulting. (* In addition to this, she writes forewords for struggling poets here )

She says here–

If the importance of data scientists is growing with the advent of big data, the sooner we understand what exactly it is they do, the better.

That is fair enough. But to add grievous injury to data scientists, She adds

(For fun I wrote a blog post on being a data scientist’s girlfriend.)

Actually the blog post was-Why I Wouldn’t Have Sex with a Data Scientist

But there’s no use. The data scientist is preoccupied. Preoccupied with finding, accessing, analyzing, validating, cleansing, integrating, provisioning, modeling, verifying, and explaining data to his management, colleagues, end-users, and friends.

And this is the year of the statistician ??

This is bare knuckles tactics. The art of Vaseline Insulting? Perish the thought. Geeks and Data Scientists rule.

Dont we? and we are perfect? right.

We statisticians (and data scientists and big dataists and data miners and business analysts and …)

are bringing sexy back!

(and we need a hug too.)

The dichotomy in being a writer on open source with a non-open access publisher

The publisher adds credibility to your work

versus

A self fulfilling prophecy where researchers want to publish in exclusive journals and closed -access books, for the sole reason that others did so as well before them and thereby donate their knowledge and money to the publisher

The dichotomy in being a writer on open source with a non-open access publisher?

I write on open source R ,
and I have been published (one book )
and am on contract to write two more ( R for Cloud Computing) and (R for Web and Social Media Analytics)
My publisher does have open access journals.
But the book is at $50. Most of India lives at less than 2$ per day. Thats 800 million people in my country alone.

But the publisher is the most reputed in this field. So what are my choices? How do I get more people to have choices to read books.

Take open knowledge , curate it, and turn it behind a $50 paywall. I am sorry, Aaron. People like me are the reason ……

Easier Tagging for E Commerce by Google Tag Manager

Ok I guess I am a bit late to this, but I really like the concept of Google Tag Manager https://developers.google.com/tag-manager/ and the fact they have a WordPress plugin ready http://wordpress.org/extend/plugins/wp-google-tag-manager/. What does it do? It integrates all your tags on websites on one dashboard. So much easier Web Analytics for marketing people who dont want to learn Reg Ex , JS etc.

IT-friendly – Google Tag Manager has lots features to set your mind
at ease—like user permissions, automated error checking, the Debug
Console, and asynchronous technology. So everything runs efficiently,
with no unpleasant surprises.
• Quick and easy – Users add or change tags whenever they want, to
keep sites running smoothly and quickly. Tags are managed with an
easy-to-use web interface, so there’s no need to write or rewrite site
code following implementation.
• Verified tags & templates – Google Tag Manager makes it easy to
verify that new tags are working properly, so users don’t need to call on
IT to check the tags. Built-in tag templates and automatic error checking
also prevent tags with improper formatting from even being deployed
on your site.
• Swift loading – Google Tag Manager replaces all your measurement
and marketing tags with a single, asynchronously loading tag—so your
tags can fire faster without getting in each other’s way.

Tagging just got easier: Built-in templates for popular tags in Google Tag Manager (analytics.blogspot.com)

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