The key is to find the right representation of the data.

Often used in discussions of machine learning and data science to emphasize that model performance depends heavily on how inputs are encoded or structured before learning.

Choosing an effective way to encode and structure information can matter as much as, or more than, the specific algorithm, because the representation determines what patterns are easy or hard to learn.