This document discusses building an analytical framework with three steps: define, describe, and deploy. It provides examples from Lyft of how they used data science to grow rides by defining problems like delays in driver pickups, describing data through exploration and visualization, and deploying solutions through experimentation. The framework emphasizes clear problem definitions, learning from data, and activating insights through experiment design and measurement to inform business decisions.