In my previous post I talked to John Cassara about the growing threat of mobile payments and how mobile phones can be used to launder illicit funds globally. I spoke with him again recently on the topic of financial intelligence. Here are the highlights from our discussion. So what is
I enjoy watching TV crime series like Law and Order, Crime Series Investigation (CSI), CriminalMinds, Numb3rs, Person of Interest, as well as real-life mystery stories on shows like 20/20 and others. Obviously, the popularity of these types of shows means I'm not the only one who enjoys this type of entertainment. Here at SAS,
Financial institutions have been managing their AML models to meet regulatory expectations for some time. But what about customer risk rating models? We’re seeing a trend where firms are re-evaluating whether their heuristic, rules-based customer risk rating models can withstand regulatory expectations. Rules-based models follow simple analytical formulas, such as,
In the oil and gas industry, analytics are used to improve both upstream and downstream operations, from optimizing exploration and forecasting production to reducing commodity trading risk and understanding customer's energy needs. If you plan to derive value from the digital oil field, big data, and analytics, one of the first things
Looking at the top 100 organizations in the world, have you ever wondered which ones we’d really miss if they were to disappear? Give it a try. I bet you don’t choose the ones with the highest profits. You probably make your picks based on meaning. You probably chose the
Oh, how times have changed during my 20-plus years in the insurance industry. Data wasn’t a word we used much back in the 80s and 90s, unless of course you worked in those arcane and mysterious IT data centres. Even amidst the computerisation of the insurance industry in the 80s, many
In my previous blog post, I discussed the benefits of a Statewide Longitudinal Data System (SLDS) and shared a SAS book on the subject: Implement, Improve and Expand Your Statewide Longitudinal Data System by Armistead W Sapp III and Jamie McQuiggan. Today, I'm sharing a conversation I had with one of the book’s authors,
SAS recently held the Detroit Automotive Analytics Executive Forum to bring together leaders from the Industry. We heard from an experienced group of leaders on the future of the automotive industry, best practices for analytics success, innovative retail analytics, customer experience analytics, the connected vehicle, and competing on analytics. Following
We are all modelers. Whenever you plan, you are building a model. Whenever you imagine, you are building a model. When you create, write, paint or speak, you first build in your head a model of what you want to accomplish, and then fill in the details with words, movements
In a complicated, fast-paced and connected world, you don’t succeed alone. SAS and Cloudera have a successful partnership that dates back several years. Our products are complementary and provide significant quantifiable value to customers who run them on the same cluster. Add Intel to the mix and you have a trio
