Top 10 Ways to Apply Predictive Analytics in the Insurance Industry — and Your Industry?
Actuaries are experts at using mathematics to forecast risk at a human biological level. CAN is the expert at using…
Zero Latency: An Obsession with Velocity
Vendors often promise some derivative of the term “faster” in marketing and sales literature (i.e. faster decisions, quicker time to…
Data Mining Models: Behavioral Segmentation and Classification
Two of the most common applications of data mining models are for behavioral segmentation and classification. In behavioral segmentation, clustering…
The Top-Down Nature of ‘Competing on Analytics’
Think about the large successful organizations which are known for harnessing information for competitive advantage; P&G, Goldman Sachs, Capital One,…
Why Business Analytics is important for business more than ever NOW !!
As the global political & physical barriers are collapsing, all the global markets are getting opened for businesses, creating a…
Credit Score Cards
Information Technology as an industry has grown up in leaps and bounds. You may not find any organization on the planet…
How BI and Data Analytics Professionals Used Twitter in May
In May, Twitter was afire with events, more buzz around mobile BI, Watson’s (the computer) progress in medical school and…
Voice of the (Vocal Few) Customer(s)
Working with some of our customers we (and they) see previously unimaginable results. I’m not only talking about hundreds of…
In Defense of Data Mining Ethics
Jim Stodgell has a though-provoking post at O'Reilly Radar today on the ethics of data mining and personalization. He frames…
