The Popularity of Data Analysis Software

Here is a nice page by Bob Muenchen (author of “R for SAS and SPSS” and “R for Stata” books)

It is available at http://r4stats.com/popularity and uses a variety of methods, including Google Insights, Page Rank, Link analysis, as well as information from Rexer Analytics and KDNuggets.

I believe the following two graphs sum it all up:

1 Number of Jobs at Monster.com using keywords

2 Google Scholar’s analysis of academic papers

Despite R’s Rapid Growth which is clearly evident, in terms of jobs as well as publications, it lags behind SAS and SPSS. So if you are a corporate user or an academic user, it makes sense to have more than one skill just to be sure.  What do you think? Is learning R mutually exclusive and completely exhaustive from learning SAS or SPSS. See http://r4stats.com/popularity for the complete analysis by Bob Muenchen

Also it shows the tremendous opportunity for companies like Revolution Analytics and XL Solutions ( http://www.experience-rplus.com/ ) as the potential for growth is clearly evident.

Browser Based Model Creation

Here are some fabulous applications at http://yeroon.net – if you are in the field of data and / or analytics you should try and dekko this site- it is created by UCLA’s department of statistics.

You can create stockplots ( something similar to based to Yahoo and Google finance which I have covered earlier)

or create ggplot visualizations

or create a linear model

Just using a browser to upload the dataset and thats all the hard/soft ware you need .

Note the background uses R. It would be interesting if companies like Revolution R, SAS and SPSS can do in this browser based computing ( maybe charge like Amazon Ec2 apis)

Kudos and credits to http://www.stat.ucla.edu/~jeroen/

Browser based Music Creation

Aviary- the online pioneer in browser based art editing introduced music creation and editing in it’s latest version. If you see the screenshots you will find creating music is now simply a matter of visualization and you can see some screenshots below to see how easy it is to create music.

So if you like music and ever felt the need for music to create for videos or websites , take 5 minutes and try it out at http://aviary.com/

Facebook App by SAP Crystal Reports

Here is a fun way to visualize your Facebook activity (optimize your time wasting ; ) )

and an innovative way to selling Dashboard Solutions by SAP Crystal Reports

Predictive Analytics World Conference

A note from Predictive Analytics World  Conference


Predictive Analytics World Coming October 19-20, 2010 to Washington, DC

Dates:        October 19-20, 2010
Location:   Washington, DC

Predictive Analytics World (pawcon.com) is the business-focused event for predictive analytics professionals, managers and commercial practitioners, covering today’s commercial deployment of predictive analytics, across industries and across software vendors.  The conference delivers case studies, expertise and resources to achieve two objectives:

1) Bigger wins:  Strengthen the business impact delivered by predictive analytics

2) Broader capabilities:  Establish new opportunities with predictive analytics

The Top Experts

PAW’s October 2010 program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers Piyanka Jain of PayPal, Andrew Pole of Target and Program Chair Eric Siegel, Ph.D. — plus special sessions from industry heavy-weights Usama Fayyad, Ph.D. and John F. Elder, Ph.D.

Case Studies: How the Leading Enterprises Do It

Predictive Analytics World focuses on concrete examples of deployed predictive analytics.  Hear from the horse’s mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers.

And the leading enterprises have responded, signing up to tell their stories. PAW’s October program includes over 25 sessions across two tracks – an “All Audiences” and an “Expert/Practitioner” track — so you can witness how predictive analytics is applied at

1-800-FLOWERS, CIBC, Corporate Executive Board, Forrester, Ingram Micro, LifeLine, MetLife, Miles Kimball, Monster, Paychex, PayPal (eBay), SunTrust, Target, UPMC Health Plan, Xerox, and Yahoo!, plus special examples from theU.S. government agencies DoD, DHS, and SSA.

October’s agenda covers hot topics and advanced methods such as social data, text mining, search marketing, risk management, survey analysis, consumer privacy, sales force optimization and other innovative applications that benefit organizations in new and creative ways.

Join PAW and access the best keynotes, sessions, exposition, expert panel, live demos, networking coffee breaks, reception, birds-of-a-feather lunches, leading brand-name enterprise leaders, and industry heavyweights in the business.

Workshops

Three pre- and post-event workshops complement the core conference program:

“The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes”
Instructor:  John F. Elder, Ph.D., CEO and Founder, Elder Research, Inc.
www.predictiveanalyticsworld.com/dc/2010/predictive_modeling_methods.php

“Hands-On Predictive Analytics”
Instructor:  Dean Abbott, President, Abbott Analytics
www.predictiveanalyticsworld.com/dc/2010/handson_predictive_analytics.php

“Driving Enterprise Decisions with Business Analytics and Business Rules”
Instructor:  James Taylor, CEO, Decision Management Solutions
www.predictiveanalyticsworld.com/dc/2010/predictive_analytics_work.php

Cross-Industry Applications

Predictive Analytics World is the only conference of its kind, delivering vendor-neutral sessions across verticals such as banking, financial services, e-commerce, education, government, healthcare, high technology, insurance, non-profits, publishing, retail and telecommunications

And PAW covers the gamut of commercial applications of predictive analytics, including response modeling, customer retention with churn modeling, product recommendations, fraud detection, online marketing optimization, behavior-based advertising, insurance pricing, sales forecasting, text mining and credit scoring.

Why bring together such a wide range of endeavors?  No matter how you use predictive analytics, the story is the same:  Predicatively scoring customers optimizes business performance.  Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.

Rave Reviews

“Hands down, best applied, analytics conference I have ever attended. Great exposure to cutting-edge predictive techniques and I was able to turn around and apply some of those learnings to my work immediately. I’ve never been able to say that after any conference I’ve attended before!”

Jon Francis
Senior Statistician
T-Mobile

Read more:  Articles and blog entries about February and October’s PAW can be found at www.predictiveanalyticsworld.com/pressroom.php

People Who Need People

Vendors:

*    Meet the vendors and learn about their solutions, software and services
*    Discover the best predictive analytics vendors available to serve your needs
*    Learn what they do and see how they compare

Colleagues

*    Mingle, network and hang out with your best and brightest colleagues
*    Exchange experiences over lunch, coffee breaks and the conference reception connecting with those professionals who face the same challenges as you

Get Started

If you’re new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there’s no better place to get your bearings than Predictive Analytics World.  See what other companies are doing, witness vendor demos, participate in discussions with the experts, network with your colleagues and weigh your options!

For more information, see:
www.predictiveanalyticsworld.com

For a complete overview of the conference agenda, see:
www.predictiveanalyticsworld.com/sanfrancisco/2010/agenda_overview.php

Be sure to register by September 10th for the Early Bird rate (save $200):
www.predictiveanalyticsworld.com/register.php

Save more with this posting’s promotional offer:  Take an additional $150 off the Early Bird – a total savings of $350 – or the regular registration fee with this registration discount code: AOH150

What is predictive analytics?  See the Predictive Analytics Guide:
www.predictiveanalyticsworld.com/predictive_analytics.php

If you’d like our informative event updates, sign up at:
www.predictiveanalyticsworld.com/notifications.php

To sign up for the PAW group on LinkedIn, see:
www.linkedin.com/e/gis/1005097

For inquiries e-mail registration@predictiveanalyticsworld.com or call (717) 798-3495.