March Madness is all about bold picks—except the safest way to win is playing it safe. Is that fair game or missing the point? Let’s break it down.

Data Scientist Henry Mead shares a practical guide on what it takes to land a job as a data scientist coming from the humanities.

Take a break from the usual routine and join thousands of data professionals for Advent of Code. Whether you’re in it to sharpen your skills, connect with others, or just enjoy a daily puzzle, it’s an experience that’s as rewarding as it is fun.

So, I could title this “We Are Almost Always Wrong”. Why am I highlighting the other party? Because over-fealty to the customer’s guidance can prevent us from discoveries even more valuable to them. The customer may know their pain well, but not the diagnosis or treatment. We must “trust but verify” as we discover how best to help them.

The field of data analytics is dynamic with rapidly evolving innovations. To realize the potential of an enterprise-wide analytics program, leaders and managers at all levels need strong data literacy. Providing opportunities for continuous learning and sharpening of skills is necessary for a robust analytics enterprise able to reliably deliver measurable value to the organization.