We’ve all been there. You’ve knuckled down, cleaned out the garage, the attic, and that cupboard under the stairs, thrown away a ton of stuff, only to need it again the very next week. Until recently, that’s exactly what many businesses did with their data. The data explosion has radically
Tag: data mining
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
The Internet of Things (IoT) is going to take us into the next big technology wave, which will include a massive proliferation of personal connected devices like we have never seen before – cars, toothbrushes, household appliances, watches, medical devices, bicycles, and all sorts of things on our body and in
Oil companies are being forced to explore in geologically complex and remote areas to exploit more unconventional hydrocarbon deposits. New engineering technology has pushed the envelope of previous upstream experience. No guidebook existed on how computing methodologies can contribute to E&P performance at reduced risk. Until now. A new book
A contract instructor for SAS since 1981 and an NC State University professor, David A. Dickey has a passion for statistics and sharing that passion with others. On Tuesday at SAS Global Forum he gave a general overview of data mining, touching on decision trees, regression trees, logistic regression, neural
How does a $55 billion company get a sense of its demand when it operates in virtually every market – from paint to electronics – on a global scale? That’s the question Timothy D. Rey answered during a presentation on how his company, Dow Chemical, used a data mining approach
I have been on a plane non-stop for four weeks travelling around Asia working with key customers looking to expand their analytics footprint. It's clear that analytics is no longer taking a back seat to business intelligence (BI). Customers I am talking to have squeezed as much value out of
At the recent SAS Forum Singapore (where we also heard from DBS Bank and their analytical transformation journey), Grace Tang, the Director, Customer Experience Assurance at SingTel talked in depth about the telco’s need to do things differently in the consumer operations space. Operating in a complex environment involving smartphones,
Why do military fleet managers drive everywhere looking in the rear-view mirror? Can you imagine driving your car down the freeway but navigating by only using your rear-view mirror? In essence that’s what most military fleet managers use to manage their assets, be they tanks, trucks or aircraft. Whatever the
SAS customers are both bright and generous. Recently, I met several who gathered to discuss SAS Enterprise Miner and SAS Model Manager predictive analytics and data mining software. Hiring the best I loved listening to their discussion on what they look for and how they find the people who will