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Big Data, Crystal Balls and Looking Glasses: Reviewing 2016, predicting 2017

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.

Source: zdnet.com
Author: George Anadiotis

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