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
Next week Breffni Noone, Associate Professor, The Pennsylvania State University and I will be hosting a discussion at the Cornell Hospitality Research Summit on how user generated content impacts the purchase choices of the unmanaged business traveler. The discussion will take place on Monday October 13 at 2:15pm in Statler 396.
In the first installment of this series on Hadoop, I shared a little of Hadoop's genesis, framing it within four phases of connectivity that we are moving through. I also stated my belief that Hadoop has already arrived in the mainstream, and we are currently moving from phases three of connecting people to phase four
One of the hottest trends today in the business intelligence and analytics spaces is “self-service.” The word self-service is thrown around lightly in many situations and often carries different expectations for different people and organizations. Before we go into the details of self-service analytics it is important to have a
So, you've heard the Hadoop hype and you are looking – or have already invested – into Hadoop. Maybe you have also realized some benefits from the Hadoop ecosystem. But now you want to maximize those benefits by using advanced analytics, or you might have heard about algorithms or machine learning libraries available
