Amazon Quick introduces dashboard creation from natural language prompts
Amazon Quick’s new Generate Analysis feature allows users to create dashboards using natural language prompts, streamlining the process significantly.
Amazon Quick has unveiled a new feature called Generate Analysis, which allows users to create dashboards using natural language prompts. This innovative tool simplifies the process by enabling users to describe the desired dashboard, select up to three datasets, and review an editable plan before the system generates the final product. The result is organized sheets complete with visuals tailored to the data, filter controls for exploring various dimensions, and calculated fields for metrics such as year-over-year growth and month-over-month comparisons.
Generate Analysis significantly reduces the time required to create dashboards, transforming a process that previously took hours of manual configuration into one that can be completed in just minutes. Users can specify their objectives, such as requesting a “sales performance dashboard with revenue trends, regional comparisons, and month-over-month growth,” and receive a dashboard that is ready for further refinement.
The generated dashboards seamlessly integrate with existing publishing workflows, embedding options, CI/CD pipelines, and offer point-and-click editing for additional customization. Initially, Generate Analysis is available to users with an Enterprise subscription or Author Pro account. Authors are also granted promotional access to this feature until December 2026 as part of the Amazon Quick Enterprise package, provided there are no access restrictions from their organization.
This feature is now generally available in all AWS Regions where Amazon Quick is offered. For more detailed information, users can refer to the section on Generating an analysis with natural language prompts in the Amazon Quick User Guide. To begin using this feature, users simply need to open any dataset within Amazon Quick and select the option to generate an analysis.