In any organization, there are 3 types of decision makers – empiricists who rely 100% on what the data is telling them, intuitives who run wholly on instinct), and skeptics who strive for a healthy balance of analysis and judgement.
You’ve probably heard it before: Data science is THE sexiest job of the 21st century. But what does that mean? And what about data analysts? But wait, are they even really two separate things?
Yes, they are, and they can fill very different roles within an organization.
Any group of people working towards a common goal needs to have a certain level of accountability if they have any hope of reaching their goal. But what happens when different people are measuring different things? Or when some people aren’t as visible as others?