Data Collection: No Dashboard, Just an Ironing Board
As if to renounce one more convention of business, a Berkeley-area businessperson I know couldn’t find data, so he went…
Why Predictive Analytics is Important and More
CAN was started in 2008 , to make predictive analytics applicable and accessible to businesses of almost any size. We are working diligently because…
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.…
Who will manage Big Data?
An interesting McKinsey Global Institute (MGI) analysis looks at the vast amount of enterprise information these days–and the challenges that…
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…
Data Collection: Get All Your Customers to Sign Up for Your Digital Campaigns
I sometimes put people on the spot by asking them why I should sign up for their email campaigns, the…
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. Here are…
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…
