What is Data Science?

There’s no question that “data science” is becoming more and more popular. In fact, Booz Allen Hamilton (a consultancy) found: The term Data Science appeared in the computer science literature throughout the 1960s-1980s. It was not until the late 1990s, however, that the field as we describe it here, began to emerge from the statistics […]

The Problem with Big Data: Lies, Damn Lies, and Statistics

I’ve used the subtitle in a previous post and I think the application to the content of this post also makes it worthwhile to use again. I was reading a post from Tim Ferriss the other day and it made me think of statistics. The post is about alternative medicine, but understanding that isn’t entirely necessary for the point I’m making. Here’s […]

The Long View Perspective on Big Data and Metrics?

One of the things that I like to write about is perspective. In my opinion, it’s so important to continue to look at things from different angles and assume other viewpoints to understand the many ways that things can interact. A little over a week ago, I came across a series of tweets from Chris Hayes that presented a perspective […]

How Big Data Can Make Watching Baseball More Fun

I like baseball. I played it all throughout my youth and my years as a teenager. So, not surprisingly, I also like to watch baseball. Watching baseball on TV has come quite a ways. While baseball was first televised in the 1930s, instant replay didn’t come along until almost 1960. Nowadays, you can’t watch a game without seeing […]

The Habits of Successful Organizations: The Power of Habit, Part 2

In Part 1a, we had an introduction Duhigg’s book on habits. In yesterday’s post, we looked at some of the highlights and the key points from the first section (on individuals) of the book. In today’s post, we’ll look at the second section of the book and pull out some of the key highlights on successful […]