Today, Amazon QuickSight announces three new natural language capabilities enabled by Amazon Q for business users. Launching in preview, these capabilities can summarize dashboards, generate mini dashboards to answer data questions, and build stories explaining data.

First, executive summaries provide business users an at-a-glance view of key insights and automatically compare data period over period to surface important trends. Second, a new data QENamp;A experience helps business users confidently answer questions beyond their dashboards and reports. Amazon Q in QuickSight suggests sample questions to start, generates mini dashboards presenting related data to explain answer context, and provides best available answers for vague questions. For example, a prompt of "marketing campaigns" can summarize lead generation across marketing campaigns, with a breakdown by individual campaigns over time. And, third, business users can now generate data stories, a new type of customizable interactive data document, using simple natural language prompts to help better explain data. For example, a marketing manager might ask Q, "Create a story that shows how our social marketing campaigns performed from Nov to Jan and include recommended actions." QuickSight Q would then generate a story describing campaign performance and recommendations with data visualizations and text summaries. This information can then be presented either in an interactive blog-like format or as a slide presentation.

These new Amazon Q capabilities, in addition to the dashboard authoring capabilities, are available in preview to Amazon QuickSight Q subscribers in the US East (N. Virginia) and US West (Oregon) AWS Regions.

For more information, see the AWS Business Intelligence Blog.