Tag Archives: Christopher Hillman

Is failure good for your data scientists?

September 25, 2017

If you’ve heard of data science (if you haven’t, where have you been and how did you find this blog?), you’ve probably heard of “fail fast”. The fail fast mentality is based on the notion that if an activity isn’t going to work, you should find out as quickly as possible, and stop doing it.… Read More »

Is analytics operations the key to successful data science?

September 1, 2017

Despite a continuing shortage of data science skills, data-driven teams do exist in businesses across many industries. Expectations are high and the promises of predictive analytics, prescriptive analytics and artificial intelligence (AI) has captured the imagination of many. Now that the role, the skill-sets and the responsibilities of data science are becoming better defined, how… Read More »