What is analytics and why should I care?
If you've worked with data, you probably know a thing or two about analytics. Even if you haven't worked with data, you could probably still guess a definition that's better than the Oxford English Dictionary's:
Analytics - the systematic computational analysis of data or statistics.
It's hard to appreciate such a short, big-worded, boring definition. Good thing there's Wikipedia, giving some insight into why we do analytics.
As humans, we want to increase our understanding of a subject based on its data, so we look for patterns in the data that can potentially provide us with explanations.
If you believe that, you'd think humans have been doing analytics for thousands of years.
Scientific theories like celestial spheres (cosmology), classical mechanics (physics) and stoichiometry (chemistry) have been around for centuries and millennia, and humans have been collecting data and testing these theories for just as long.
The data we've collected and analyzed has helped us develop better theories - like our shift from geocentrism to heliocentrism. Most of us would now agree the Earth revolves around the Sun, and that the Earth is definitely not flat.
But if you don't think science should count as analytics, well, then... what does count as analytics?