The SAS Data Science Blog
Advanced analytics from SAS data scientists
My wife rescued a dog a couple of years ago from a rural North Carolina rest stop . We named her "DOTi" in honor of the Department of Transportation. It took a while for us to get into the swing of being responsible owners; sometimes the first to leave for
How many analytical projects have foundered due to lack of problem definition and other soft skills? As my SAS colleague Sascha Schubert writes, people and process matter, in addition to great technology. Great technology is a great first step, but having the right people following the right process is critically important.
The increasing use of predictive analytics in mission-critical business decisions and operations brings new challenges to the forefront for many of our customers. Throughout the last year I spoke to many customers about their use of predictive analytics and where they see areas of improvement to achieve even more success
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
As rain settles in over the green fields of England, I’ve been reading the Times Higher Education (THE) periodical. It’s always a lively read, as it invariably takes the part of untenured junior lecturers in any dispute. It is also very well researched and informed. This week’s THE edition has
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