By far, the most damaging mistake you can make in analytics is not collecting all potential data points.
Conquering Healthcare Analytics: Consolidate, Prepare, De-identify and Analyze
In a previous article, Conquering Analytics: Collection, Validation, Enhancement, Accessibility, I spoke about how to handle data in a complex, general, analytics system. In this article, I am going to…
5 things every visualization should have
I cringe when I see beautiful maps, charts and graphs that provide no value. For a truly valuable visualization, you need to make sure you account for the aspects that…
Analytics and the Customer Journey
In any analytic system that involves a multi-step conversion funnel, the customer journey contains decision points. No one point is responsible for the conversion, but all points work together to…
Strategic Analytics – Validation, Accessibility, Innovation, Repeat
I’ve written posts before on the four stages of product analytics. The four stages are Collection, Validation, Enhancement and Accessibility. To be strategic with your analytics programs, you need to…
Conquering Analytics: Collection, Validation, Enhancement, Accessibility
In the SaaS world, analytics powers existing development and should determine the next steps in the path for the future of products and services. So if I asked the question,…
Analytics: Storytelling not data reporting
So often I get requests like “I need this metric.” or “When can we have this report?” Part of the job is enablement and facilitation but there is also the…