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…
Information, Intelligence and Process: Combining Forces to Better Answer Business Needs
Data governance can be seen as formalized policies, practices and processes set up to manage voluminous data assets across enterprises.…
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…
Five Subscription Page Absolutes: Ask for the Right Information
It seems basic, but sometimes we forget what should be done when signing people up for our emails.
Experience vs. Data: Consuming Mark Zuckerberg as Data
One day last month, a dazzling sunny day in Paris, I faced a choice: Do I spend my last afternoon…
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…
