The document discusses using a feature catalog to streamline data science workflows. A feature catalog provides a centralized place to define and organize feature logic and computation. It aims to make feature engineering more efficient, collaborative, reusable and consistent. Key benefits include having a single source of truth for features, increased iteration speed, and automated documentation. While a feature store can further optimize feature computation, a basic feature catalog is often sufficient initially to organize work. An example template is provided to help structure a feature catalog.