It takes just one-tenth of a second for us to make a first impression. And if that initial sizing up is followed by the classic icebreaker “What do you do?” the pressure is really on to keep someone engaged in conversation. What do you do? will come up countless times
In the United States, loss prevention trends in health care have seemed very loudly directed at health care fraud, and less so about waste and abuse. This may be for many reasons: if you’re a private carrier, fraud prevention allows for larger recoveries and greater avoidance of future lost revenues.
In case you are wondering, yes, I am reusing the same graphic from last week, but this time to make a contrasting point. Last time, in “The Skeptical CFO” I was focused on the VARIABILITY in the data and the forecast. This week, however, we’re headed in the opposite direction,
“Maybe math is not love-at-first-sight for you, but it pays to flirt with it a little,” says Udo Sglavo. As a principal analytical consultant in the operations research R&D group at SAS, he’s not your typical mathematician. Udo arrived at his career with a gentle tug from family members and
It’s no secret that analytics helps large organizations determine what offers are best for their customers and their business, but can powerful analytics be harnessed for small and medium business success? For the answer, I turned to Oberweis Dairy, a 90-year-old mid-sized business that has grown from a family-owned dairy farm
If you're the commenting type or if you just like to read a good blog discussion, click over to one of the following SAS blog posts from last week. Each of these posts has drawn in multiple comments that provide additional information you might have missed the first time you
“We may not see it but math is everywhere around us,” says Paul T. Savarese, Technical Support Statistician at SAS. You don’t have to be a statistician to enjoy this interview, in which Savarese discusses target shooting, Jay Leno and Guinness beer – and ties it all back to the fascinating subject
As you might have heard, Dr. Jim Goodnight has a passion for helping customers solve problems. I've been thinking about Dr. Goodnight's background as I read up on the trendy "data scientist" term and wondering whether the SAS CEO was in fact the very first data scientist. Let's review the
I recently talked with the director of analytic operations at a large office supply retailer who explained that his group is often approached with broad questions that they investigate historically and descriptively to help figure out where to go next. The broad questions often lead the retailer to learn things
Just in case you missed my earlier post about cloud fragility, we have this from the New York Times on October 22, 2012:
