After attending the SAS Day at Texas A&M University on Oct. 2, I came away with a new perspective on some of the different educational offerings to help fill the analytic talent gap (which according to studies and research continues to grow). In essence, there is a yin and yang of
Today’s self-parking cars are a marvel, but that’s nothing compared to what’s just around the corner: Autonomous vehicles that can taxi you efficiently around a city, onboard navigation systems that warn of bad drivers or traffic jams nearby and offer safer, quicker alternative routes; trucks that haul commerce safely and
On Wednesday, October 15, Ed and I will be spending the morning at the North Carolina Museum of Natural Sciences. It’s a great museum, and I always love going there, but that day holds an especially cool event. It’s called the STEM Career Showcase for Students with Disabilities. (If you
Depending on whether you are a half-full or a half-empty kind of person, the "big data" revolution is either a tremendous windfall for the career of a statistician, or the makings of a real existential crisis. As with most things, it’s probably a bit of both. On the one hand,
Next week I will be presenting at the Cornell Hospitality Research Summit on big data and revenue management. In preparation for the Summit, I have recorded a short presentation that outlines how big data can help augment revenue management. Alex Dietz talks about how big data can help revenue management.
You might assume that a battle-tested businessman with a gruff exterior and a taste for salty language lacks an inner child, but you’d be wrong. Exhibit A is this little-known fact: I have a soft spot for animated Disney movies. Now, I could try to bluff a bit and say
I wrote “Business Transformation” to guide leaders through a journey to transform their organizations. I included methodologies and examples gathered throughout my 29-year consulting career to assist them. Every executive and leader focuses on how to use resources to produce value. Of course, value can be defined in many terms
Since my opening blog post about our new partnership with British Rowing and the GB Rowing Team, I’ve had a deep dive into their data, and we’re now close to our first key milestone – having all the data about a rower in a single location, so we can then
SAS has been developing "secret sauce" technology for more than 38 years. Whether it has to do with being platform independent, processing in-database, running across a grid, or analyzing data in-memory like our SAS LASR Analytic Server or our High Performance Analytics offerings, secret sauce makes everything taste or, in
At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing
