A Common Analytic Fail

Why did I pick on this post? Because it illustrates in a small way what I often see in organizations: some data is collected, some analysis is done, and conclusions are blithely drawn that simply can’t be inferred from the data. In many ways it’s worse than just guessing, because the participants may set off in the wrong direction with excessive confidence

Wise Practitioner – Predictive Analytics Interview Series: Sarah Holder of Duke Energy

In anticipation of her upcoming conference presentation, “It’s Not a Black Box! Explaining Predictive Models to the Masses”, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Sarah Holder, Senior Market Research Analyst at Duke Energy a few questions about her work in predictive analytics. Q: In your work with predictive analytics, what…

10 Phrases That Kill Big Data Projects

What are the 10 dangerous phrases and mindsets that CIOs need to refute? You’re about to find out.