Data quality is not solely the responsibility of analytics teams, but should be a concern for all departments that use and rely on data. Ensuring data quality upstream and downstream of analytics workflows can help maintain trust and accuracy in reporting. Analytics teams can establish safeguards to detect potential issues, while cross-team communication and data governance tools can help maintain consistency across various departments. Ultimately, holistic data quality is crucial for ensuring high-quality products and user experiences.