The SAS Data Science Blog
Advanced analytics from SAS data scientists![March Madness and Predictive Modeling](https://blogs.sas.com/content/subconsciousmusings/files/2014/03/Jared-Dean-and-son-at-NCAA1.jpg)
In my region of North Carolina (Raleigh, Durham, and Chapel Hill) one of the most anticipated times of the year has arrived— the NCAA basketball tournament. This is a great time of year for me, because I get to combine several of my passions. For those who don’t live among crazed college
![Skills needed for competitive advantage in analytics (hint, it's not just the math)](https://blogs.sas.com/content/subconsciousmusings/files/2017/01/SASevents-1.png)
I'm a big believer in both/and thinking, so I'll stand squarely in the middle and say that the most important skills for competitive advantage in analytics include a combination of top-notch modeling abilities along with business acumen, critical thinking, and curiosity. I was intrigued by a blog post on this
![Using panel data to measure the economic impact of the Super Bowl](https://blogs.sas.com/content/subconsciousmusings/files/2014/01/12059067843_2d284c0610_z1.jpg)
This year the Super Bowl will take place in East Rutherford, New Jersey at MetLife Stadium just outside New York City. For the first time in this event’s 48-year history, the game will take place outdoors in a cold-weather environment, potentially subjecting players and fans to sub-freezing temperatures. The fans
!["The hungry statistician" – or why we never can get enough data](https://blogs.sas.com/content/subconsciousmusings/files/2017/01/AdvancedAnalytics-2.png)
As the “Year of Statistics” comes to a close, I write this blog in support of the many statisticians who carefully fulfil their analysis tasks day by day, and to defend what may appear to be demanding behavior when it comes to data requirements. How do statisticians get this reputation? Are we
![How WAVELETS can help separate the signal from the noise wavelet](https://blogs.sas.com/content/subconsciousmusings/files/2013/11/wavelet-graphic.png)
Wavelet analysis is an exciting and relatively new field of study that enables one to extract underlying patterns either from spatially varying or temporally varying data. Pixel values representing the relative brightness and color that constitute an image are an example of spatially varying data, and daily variations of financial
![ANALYTICS 2013 – A BEST PRACTICE CONFERENCE FOR ANALYTICS PROFESSIONALS](https://blogs.sas.com/content/subconsciousmusings/files/2017/01/SASevents-2.png)
We are in the final countdown to the Analytics 2013 Conference to be held next week, October 21-22 at the Hyatt Regency Orlando. There is a power-packed agenda for the conference, featuring four very strong keynote presentations from Dr. Jim Goodnight, CEO of SAS; Ed Gaffin, Walt Disney World; Will Hakes,