End-of-year reviews are boring — and everyone does them. Predictions are boring — and they are hard. Of course, this is different — because big data.
How do big data people go about making end-of-year reviews and predictions? Using data is the obvious answer, but there’s a few issues with that approach: there is no synthesis in data alone — you have to find the story behind data, pick an angle and seek meaning.
Author: George Anadiotis