It's true. "Big data" can be a problem and an opportunity. Many organizations have struggled to manage, much less profit from, the deluge. In 2012, look for big data to spur demand for big data analytics. New developments in high-performance computing as well as increased demand for visualization and text
Big data has been a hot topic recently, but more often than not the topic is covered from an IT perspective. What do the analysts, data miners and statisticians think? I recall the old days discussing with statisticians what data mining is and how it fundamentally differs from statistics. In
As the Basel Accords continue to drum up attention in the global financial markets, many institutions are looking at how they can strike a balance between capital requirements and competitive advantage. One area of focus is consumer credit risk modelling and scoring, as the more accurate and robust the models
“Wise Enterprise: Best Practices for Managing Predictive Analytics” was the title, and the assignment to the panel at the recent Predictive Analytics World conference in New York was to share “poignant moments of failure.” Wayne Thompson from SAS began, going back ten years to describe a network intrusion project. He
Reflecting on my 25 years as a data analyst, I’ve always felt that there is something more to being a good applied statistician than just applying what I had learned from school. What are those key skills that make a good field statistician? Before analytics came into play, when presented with
Last week, a new film featuring Brad Pitt came to theaters, and for a change, I’ll be dragging my wife to see it instead of the other way around. Moneyball is based on the best-selling book by Michael Lewis (2003) which chronicles the new-age, statistically driven philosophy successfully adopted by
Emails – it’s hard to imagine that there used to be a time people worked without them – at least in our industry. When I started at SAS in 1996 the amount of business email I received on a particular day was almost less than the amount of spam mails
The promise of high-performance analytics, as I understand it, is this: Regardless of how you store your data or how much of it there is, complex analytical procedures can still access that data, conduct a series of calculations on that data and provide answers quickly, accurately and using the full
There are many things that I enjoy in life, but cooking and analytics are two of the things that excite me the most. In my free time, one of my favorite things to do is experiment in the kitchen to try to come up with something new and different to
Rome was not built in a day. Similarly, high-performance analytics is a product of many cumulative architectural, computational and analytical advances. The ability to solve complex business problems by applying algorithms from multiple disciplines to increasingly large volumes of data of all types - both structured and unstructured - is
