Build the data model well and document it thoroughly. If stakeholders get different answers from the same data, trust erodes. A metrics dictionary is essential.
Best answers balance empowerment with governance: creating clean, well-documented data models, providing training, establishing naming conventions, maintaining a single source of truth for key metrics, and staying available for complex questions while deflecting routine ones to self-serve tools.
Reveals scalability thinking. Analysts who do everything themselves become bottlenecks. Those who enable others multiply their impact. Ask: "How do you handle it when someone's self-serve analysis produces wrong results?"