Generate dashboards from natural language prompts in Amazon Quick
From datasets to production-ready analysis in minutes, no manual setup needed.
Amazon Quick, AWS's business intelligence service, now offers a generative AI capability that creates multi-sheet dashboards from natural language prompts. Data analysts, program managers, or engineers can select one to three datasets, describe the insights they need—for example, 'Show order volume trends, revenue KPIs, delivery performance comparing estimated vs actual delivery dates, and product category breakdown by revenue'—and receive a structured analysis plan. Users can review and edit the plan before generation, adjusting sheet names, visuals, or filters. Once confirmed, Amazon Quick generates the analysis with calculated fields (e.g., month-over-month growth), filter controls for stakeholder exploration, and organized sheets. The output is a native Quick analysis, not a static image; it can be refined, published as a dashboard, or integrated into CI/CD pipelines. Early adopter Jeff Sondic, Pre-Construction Manager at Amazon, noted the dramatic time savings compared to manual creation. This capability uses dataset structure and column statistics to tailor visuals, making complex BI accessible to more team members.
- Generates multi-sheet dashboards from natural language prompts using 1-3 datasets
- Includes calculated fields like year-over-year growth and month-over-month comparisons
- Reduces dashboard creation from hours to minutes, with editable interactive plans before generation
Why It Matters
Democratizes BI by letting non-experts generate production dashboards instantly from natural language.