SAS Voices
News and views from the people who make SAS a great place to work
In the morning at 6am my iPhone buzzes. But it is not the alarm clock, rather it's important information from an app. What is this, I think to myself and look sleepily at the screen: "Danger of black ice! Already 15 km traffic jam on the A3 towards Cologne!
The energy & utilities industry as a whole has experienced a seismic shift over the past five years due to rising costs and price pressures, and has become a priority discussion on the political and media agenda. Falling demand overall combined with “peakier” peaks is making supply, forecasting and public
Imagine that you’re a large retail firm, in need of projecting sales for the next few months. With the right analytical solution, it can literally take just seconds to have a forecast in place. You drag and drop some variables and can figure out exactly which ones are underlying factors
Data-driven marketing is all about how marketers can harness data and analytics to create a more customer-centric, fact-based approach to customer engagement. This, combined with quality execution leads to better customer experiences and improved customer equity. However when looking at customer-brand interactions in silos such as in the call centre
Imagine this situation: You go to you doctor and tell her that "something hurts in the lower chest area." Now, based on this short description of your pain, you expect her to come up with a precise diagnosis and a specific therapy suggestion, including treatment time and associated cost. Sound
Recently, I was reading an online article about predictive modeling and "big data." Its premise was to determine whether the use of big data actually led to more accurate and meaningful predictive models and forecasts. After citing numerous external examples and internal tests that the authors had compiled, it stated