Where Ichiro Hits: Cluster Analysis
Google research scientist Peter Hauck used Weka and k-means cluster analysis to describe where Mariners right-fielder Ichiro favours hitting the…
Ease-of-use Key to Successful Business Intelligence Deployments
We’ve all done it – shot them a fleeting glance from the corner of our eye, then stared uncontrollably as…
Why Predictive Analytics is Important and More
CAN was started in 2008 , to make predictive analytics applicable and accessible to businesses
What do Data Miners Need to Learn?
I've been asked by several folks recently what they need to learn to succeed in data mining and predictive analytics.…
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,…
