We are increasingly seeing that bigger data is often not better. Companies are realizing that extracting more data may not help them address certain problems more effectively.

While more data can be useful if it is clean, the vast majority of business use-cases experience diminishing marginal returns. More data can actually slow innovation, making it harder for data scientists to iterate quickly as testing takes longer and requires more infrastructure.