Why Predictive Analytics is Important

CAN was started in 2008 , to make predictive analytics applicable and accessible to businesses of almost any size.  We are working diligently because predictive analytics has the unique potential to allow executives to scale their decision making as organizations and...

Insurance Client Stories-Contemporary Analysis

CAN has been fortunate to help a number of Life and Health Insurance companies work smart.  It has been a great relationship because clients from Life and Health Insurance companies understand what we do as they are experts in using mathematics to forecast human...

The Steps to Implement Predictive Analytics

The following is the step-by-step process that CAN would use to implement predictive analytics into your business systems: Step 1 We select from our catalog of intellectual property which mathematical formula or survey questions will be most effective to explain the...

How to Structure a Survey

We rely on existing data when available, however sometimes we have to collect primary data using surveys. Over the years we have developed many surveys — including a bi-lingual survey to measure the employment and consumption preferences of Omaha’s first...

Keeping Business Intelligence Simple

CAN does more than optimize your sales, marketing, customer services, management and strategic planning; we optimize how you learn.  Our job is not to provide you with more information, data or work.  Our job is to provide you with supported recommendations that help...