BIG DATA

1. The amount of stored information grows four times faster than the world economy, while the processing power of computers grows nine times faster.

2. Sometimes the constraints that we live with, and presume are the same for everything, are really only functions of the scale in which we operate.

3. At its core big data is about predictions.4. By changing the amount we change the essence.5. Big data is about what, not why?6. Growing respect for correlations rather than causations.7. Item to Item collaborative filtering, as the technique is known.8. With correlations, there is no certainty only probability.9. Hypothesis driven to data driven approach.10. Perception of causality is a shortcut our brain uses to avoid thinking hard and slow.11. Together measuring and recording facilitated the creation of data. They are the earliest

foundations of datafication.12. Information is what economists call a “non-rivalrous” good: one person’s use of it does not

impede another’s.13. There are three potent ways to unleash data’s option value: basic reuse; merging datasets; and

finding “twofers”.14. Collecting the information is crucial but not enough, since most of data’s value lies in its use, not

its mere possession.15. Collaborative filtering, click stream data.16. Value has migrated from the expertise to the idea and is now moving to the data.17. Companies may be powerful, but they don’t have the state power to coerce.18. A newer problem emerges with big data: the use of predictions to judge us.19. In god we trust- all others bring data.20. Brilliance doesn’t depend on data.21. Without guilt, there can be no innocence.