Every BI team knows this bottleneck: a business user has a question that falls outside existing dashboards, so they file a ticket. An analyst writes the query, validates the results, and delivers them—hours or days later. Multiply that by hundreds of ad-hoc requests per month, and the backlog becomes the single biggest constraint on data team productivity.
Amazon Quick now adds a powerful new natural language query capability, Dataset Q&A, to remove this bottleneck. Your question is translated into SQL, run against the full dataset, and the results are returned in seconds—no row sampling, topic curation, or pre-configured calculated fields required.
Quick already offers two natural language querying modes. Dashboard Q&A is intended for questions about data visualized in published dashboards, drawing on the business context that authors have built into each view. Topic Q&A goes further. Authors enrich the data model with business-friendly field names and…