Teams across the organization rely on inconsistent metric definitions, causing confusion, duplicated work, and conflicting dashboards. The goal is to standardize disputed metrics into a single, trusted glossary with clear SQL definitions, filters, grain, and known caveats. The workflow must also define canonical dimensions, governance rules, and a stakeholder announcement to drive alignment.

Organizations need a structured way to design AI adoption workshops tailored to their analytics teams’ skill levels, tools, and goals. This workflow generates a complete, customized workshop package including curriculum, hands-on labs, facilitator scripts, and post-workshop implementation checklists. The goal is to ensure practical, adoption-focused training that aligns with real organizational examples and leads to measurable outcomes.