Bill Schmarzo

There are so many confusing and sometimes even counter-intuitive concepts in statistics.  I mean, come on…even explaining the differences between Null Hypothesis and Alternative Hypothesis… Read More »Using Confusion Matrices to Quantify the Cost of Being Wrong

I recently talked to Clint Boulton, author of “Why digital transformations are lagging” about why Digital Transformation is so hard. His article raises lots of… Read More »Why Digital Transformation Is So Dang Hard?

“Tomorrow’s market winners will win with the smartest products.  It’s not enough to just build insanely great products; winners must have the smartest products!” –… Read More »3 Stages of Creating Smart

Many of my MBA students are perplexed about how much data science capabilities and skills they need in order to get hired.  It appears that… Read More »How Millennials Should View the World of Data Science

Forrester published a report titled “The Sorry State of Digital Transformation in 2018” (love the brashness of the title) that found that 21% of 1,559… Read More »It's Not Digital Transformation; It’s “Intelligence Transformation” We Seek

Okay, that may be the most complicated title that I’ve ever read, but here’s the point of that title:  Most people don’t know what they… Read More »Using Design to Drive Business Outcomes, or Uncovering What You Don’t Know That You Already Know

Updated from original posted on April 17, 2014 The importance of metadata only continues to grow as organizations are realizing that to fully exploit the… Read More »Importance of Metadata in a Big Data World

Autonomous cars are racing down the highway at speeds exceeding 100 MPH when suddenly a car a half-mile ahead blows out a tire sending dangerous… Read More »Blockchain + Analytics: Enabling Smart IOT