Self-service analytics presents both opportunities and challenges, as explored through the insights of data and analytics leaders from various organizations. Lending Club emphasizes the need to focus on actionable metrics rather than high-level vanity metrics, enabling users to ask specific questions that add value. At Nest, Harry Tannenbaum highlights the importance of tailoring data access to user needs, ensuring that executives receive summarized recommendations while analysts work with raw data. Maurice Mongeon from App Annie stresses the necessity of maintaining consistent event definitions and schemas to prevent confusion and ensure effective self-service analytics. Ville Tuulos from AdRoll points out that even with the right tools, misinterpretations can arise, underscoring the importance of communication to align interpretations and actions. These perspectives underline the critical balance between providing accessible data and ensuring it is effectively used to support informed decision-making across different organizational levels.