Tag: big data

Stuart Rose 1
Putting predictive analytics to work.

Insurance relies on the ability to predict future claims or loss exposure based on historical information and experience. However, insurers face an uncertain future due to spiraling operational costs, escalating regulatory pressures, increasing competition and greater customer expectations. More than ever, insurance companies need to optimize their business processes. But

Steve Polilli 0
Early adopter bets on Hadoop maturity — and wins

Was it really just three years ago that an IT leader needed nerves of steel to commit to a business-critical application that used Hadoop? As Epsilon's VP of Products Bob Zurek can tell you: It was. While the open source big data framework was considered a huge gamble for digital marketing agency Epsilon

Data Visualization
Leo Sadovy 0
The new map of global manufacturing

any factors go into your strategic global business decisions, from the physical placement of factories and distribution centers, to your choice of suppliers and partners, to your target markets and the business model itself. Businesses have a choice of fundamental global go-to-market investment strategies, from direct foreign investment on the one

Elliot Inman 0
Data visualization before and after

A colleague and I were looking for a good example of how analysts used to use graphics to report data, a data visualization before and after, so to speak. We needed a good "before" screenshot for a “before and after” comparison for our SAS Global Forum 2015 paper, Visualizing Clinical Trial Data.

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

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