The text discusses strategies for enhancing data discoverability at Patreon and Convoy, two companies dealing with data management challenges. At Patreon, Maura Church outlines efforts to improve data accessibility and efficiency within a small data science team by encouraging self-service data discovery, using familiar document tools for resource organization, and promoting public communication channels to reduce redundant queries. At Convoy, Chad Sanderson and Daniel Dicker present their approach to managing complex data systems through Chassis, which focuses on treating data as a public API, using an Entity Relationship Diagram for an event-driven architecture, and implementing a change management platform to streamline data processes and improve innovation velocity. Both companies aim to make data more accessible and manageable in their rapidly evolving environments.