Alternative Data and Machine Learning by @noelbambrick via @_aylien

The landscape of data is ever-changing, meaning analysts need to evolve both their thinking and data collection methods to stay ahead of the curve. In many cases, data that might have been considered unique, uncommon or unattainably expensive just a few years ago is now widely used and often very affordable.

I love this blog from Aylien. It gives great examples of Alternative Data and the way it can be used. No one can read this without understanding and grasping the possibilities.