Why Predictive Analytics is Important and More
CAN was started in 2008 , to make predictive analytics applicable and accessible to businesses
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…
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…
New Online R Courses from Statistics.com
Online training provider Statistics.com has introduced a couple of new R-related courses which are well worth checking out. These are…
No Smokescreen Area: Tips for Hiring Analysts
Lately there’s been talk about a shortage of analytic talent. The perception that there is a shortage of analysts surprises…
Data Presentation: A Picture is Worth Far More Than Words
Over the years I have presented many new ideas. It’s always a challenge to offer new methodologies along with compelling…
Less Wrong: Using Predictive Analytics to Improve Budgeting
Last week Grant and Tadd (co-owners at CAN) presented their insight on the concept of being “Less Wrong” on day…
Predictive Models are not Statistical Models — JT on EDM
My friend and colleague James Taylor asked me last week to comment on a question regarding statistics vs. predictive analytics.…
Talk Analytics with Executives – Revisited
Analysts often complain that their work has little impact on decision-making. Seems ridiculous, doesn’t it? Businesses invest in analytics resources,…
Statistics: The Need for Integration
I'd like to revisit an issue we covered here, way back in 2007: Statistics: Why Do So Many Hate It?.…
