Category: Amazon Q

This blog post demonstrates how to combine filters with calculated fields for precise data segmentation, control visual displays based on context, implement parameter-based navigation across dashboards, and integrate the Quick Suite chat agent for natural language querying.

We are excited to announce the general availability of expanding dashboard customizations of tables and pivot tables in Amazon Quick Sight, the AI-powered business intelligence (BI) service. With this enhancement, readers can add or remove fields, change aggregations, and modify formatting directly in dashboards without requiring updates from authors. This enhancement boosts self-service analytics, reducing reliance on authors, and helps readers tailor insights to their role.

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Join us for online and in-person events in October 2025.

In this post, SmugMug demonstrates how they use Amazon Q in QuickSight’s scenarios capability to enable self-service AI-powered analysis while maintaining data security. The solution helps SmugMug’s lean team support tens of millions of active users and tens of billions of photos while addressing challenges around data governance, quality, and security.

In this post, we demonstrate how to use Amazon Q in QuickSight to obtain immediate, data-driven insights during business meetings by asking questions in natural language and receiving real-time, multi-visual answers. The solution enables teams to explore data conversationally through the built-in Product Sales topic, making analytics more accessible and actionable without requiring technical expertise or dashboard creation.

In this post, Availity shares how they implemented Amazon QuickSight and Amazon Q to transform their healthcare analytics capabilities, enabling real-time insights from billions of transactions using self-service analytics and natural language querying. The solution helped Availity reduce dashboard creation time from days to minutes while scaling from 300 pilot users to over 100,000 customers, all while maintaining strict healthcare compliance requirements.

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Join us for online and in-person events in September 2025.

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Join us for online and in-person events in August 2025.

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Join us for online and in-person events in July 2025.

In this post, we explore how Tradeshift transformed their analytics capabilities by implementing Amazon QuickSight and Amazon Q to deliver powerful, embedded analytics solutions for both buyers and sellers across their e-invoicing and AP automation platform. The solution enables processing of massive datasets ranging from 1M to 100M+ rows while delivering insights in seconds, and integrates Amazon Q’s natural language interface to help users explore data without technical expertise.