Monthly Archives: April, 2015

Jake Porway 0
Data science doing good

We’re living in revolutionary times. Nearly every interaction that occurs between our world and each other now occurs with a digital interface like a laptop, a cellphone or a FitBit. This digitization represents a paradigm shift in the way we’re instrumenting our world and the new bottom-up, democratized manner in

Tom Roehm 0
I hear voices... the voices of quality

Do you hear voices? I sure hope so. I’m not talking about the ones associated with psychiatric disorders or medical conditions, but the voices of quality. To compare the two for a just a moment, the medical description from HealthGrades explains that auditory hallucinations can be pleasant or threatening and

Analytics
Leo Sadovy 1
Ye Olde information overload

“There’s no such thing as information overload - there is only filter failure”.  ~ Internet scholar Clay Shirky Information overload is not just a recent phenomenon, it entered into human experience in the middle of the 15th century with Gutenberg and his printing press, and we’ve been devising ways to cope

David Smith 0
Hoarding can lead to hidden treasures

Hoarding has a bad name. Popular TV programmes such as The Hoarder Next Door, Obsessive Compulsive Hoarder in the UK and Hoarding: Buried Alive in the US show hoarding in a very bad light. After all, why can’t they just throw away that 10-year-old newspaper? What drives the hoarders’ motivation to keep everything

Analytics
Stuart Rose 3
Demystifying analytics

There is no doubt that analytics is an overused and often abused term. So what does really analytics means? In part 2 of a series of articles on the analytical lifecycle, this blog will highlight some of the common and emerging techniques used to analyze data and build predictive models

Dan Zaratsian 0
Event Stream Processing with Text Analytics

Is text analytics part of your current analytical framework? For many SAS customers, the answer is yes, and they've uncovered significant value as a result. As text data continues to explode both in volume and the rate at which it's being generated, SAS Event Stream Processing can be used to