Phil Weiss is an Advisory Solution Architect in Sales and Marketing Support. He was an accomplished application developer and statistical consultant for 10 years before joining SAS. His technical specialties are time series forecasting, high-performance analytics and distributed processing systems. Phil has written a book on the history of Lake Tahoe’s oldest licensed casino, the Cal-Neva Resort, a place once owned by Frank Sinatra.
The need for fast and easy access to high-powered analytics has never been greater than it is today. Fortunately, cloud processing still holds the promise of making analytics more transparent and ubiquitous than ever before. Yet, a significant number of challenges still exist that prevent more widespread adoption of cloud
Every time I pick up a new article about analytics, I am always disappointed by the fact that I cannot find any specifics mentioned about back-end processing. It is no secret that every vendor wishes they had the latest and greatest parallel processing capabilities, but the truth is that many
In part 1 of my thoughts about analytics maturity, I deferred talking about issues related to the actual assessment of your organization’s level. Today I intend to detail some of the ways my peers and I are thinking about analytical maturity, comment on scales in use today, and address some
Analytics maturity is a hot topic right now. Many come to SAS for answers on how to assess their analytics maturity and advance their use of analytics, especially at a corporate level. I want to share the highlights of what we usually prescribe from a best practices perspective regarding advancing
