Cheap storage and a general lack of data often leads to less sophisticated statistical techniques when looking for insights while more data makes it easier to spot true trends and anomalies.

Lets talk about big data. Having a lot of different data points means you won`t have to normalize your findings and make any assumptions. Having less data will force youto make a lot of hard to verify assumptions.

Example - AB testing