In the realm of data analytics, dbt Exposures play a critical role in mapping the relationship between data models and the end-user data products, such as dashboards and reports, by extending dbt's native documentation capabilities. While dbt provides automatic table-level lineage and dbt Cloud offers column-level lineage, Exposures allow developers to document how data models are utilized by the business within the dbt directed acyclic graph. Defined in YAML files, Exposures help identify dependencies and ownership of data products, ensuring clarity in upstream and downstream data flow. Best practices for implementing dbt Exposures include starting with the most critical business assets, establishing team guidelines for consistent documentation, and keeping Exposures up-to-date to maintain trust and utility. By focusing on these practices, data teams can enhance the reliability and transparency of their data products, thereby facilitating better decision-making processes within organizations.