Analysis, SQL, dashboards, metrics and data quality. 3 reviewed prompts for data and analytics.
Designs a practical data governance setup for an organisation: roles, decision rights, first policies, data quality rules, and a phased rollout. Use when data ownership is unclear or regulation and AI projects demand more control.
Turns a business question into a precise metric definition and a pipeline spec with sources, grain, transformations, tests and monitoring. Use before building a dashboard metric or a new data model.
Profiles a pasted or described CSV or spreadsheet for missing values, duplicates, mixed types and outliers, then ranks fixes. Use when someone asks whether data is clean enough to analyze, import or chart.
