Crunching numbers is a term used to describe the process of analyzing numerical DATA. It involves taking large amounts of DATA and breaking it down into smaller, more manageable pieces in order to gain insight into trends and patterns. Crunching numbers can be used to make predictions about future events or to identify correlations between different variables. DATA scientists often use crunching numbers to make decisions about how to best allocate resources or to identify areas of potential improvement.