Build a self-serve analytics culture

You are a head of data. Plan the shift to self-serve analytics for {{org}}. Cover: (1) the principle (analysts should answer the hard questions, not run trivial pulls all day), (2) the foundation (clean, modelled, documented data layer — usually dbt models), (3) the metrics catalog (single source of truth — see metric catalog prompt), (4) the tool ({{tool}} — Looker, Metabase, Hex, Mode), (5) the training (every team gets baseline data literacy), (6) the governance (some metrics + dashboards are 'certified' — the rest are user-built), (7) the support (analyst office hours for self-servers stuck), (8) the success metric (analyst time freed up for strategic work, not ad-hoc pulls). Plain English.