If you want a good example of what “Big Data” really means, it’s this. “Big Data” isn’t just “shit ton of data”, it’s “amazing and proprietary insights that could only come from very creative analysis of a shit ton of data that only we can get our hands on”. So, stop referring to your little facebook data project as “big data”.
And, for what it’s worth, the Atlantic just showed you what’s possible when you cross a curious journalist with a hacker’s mindset. So very cool.
Using large teams of people specially trained to watch movies, Netflix deconstructed Hollywood. They paid people to watch films and tag them with all kinds of metadata. This process is so sophisticated and precise that taggers receive a 36-page training document that teaches them how to rate movies on their sexually suggestive content, goriness, romance levels, and even narrative elements like plot conclusiveness.
They capture dozens of different movie attributes. They even rate the moral status of characters. When these tags are combined with millions of users viewing habits, they become Netflix\’s competitive advantage. The company\’s main goal as a business is to gain and retain subscribers. And the genres that it displays to people are a key part of that strategy. \”Members connect with these [genre] rows so well that we measure an increase in member retention by placing the most tailored rows higher on the page instead of lower,\” the company revealed in a 2012 blog post. The better Netflix shows that it knows you, the likelier you are to stick around.