AWS Business Intelligence Blog

In part 2 of this post series, we explore how to implement API-driven business intelligence operations (BIOps) framework in Amazon QuickSight to reduce manual workload and improve lifecycle management.

In part 1 of this post series, we demonstrate how to implement BIOps using the no-code console features of Amazon QuickSight, showing how to version dashboards, reuse visuals, collaborate in parallel, and safely deploy updates through the QuickSight UI.

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.

In this post, we share how AWS Partner BeyondTrust used the embedded analytics capabilities of Amazon QuickSight to revolutionize their reporting infrastructure, streamline their development process, and deliver enhanced value to their customers.

In this post, we explore how to implement authentication and authorization requirements for Amazon QuickSight embedded web applications, focusing on various approaches for business intelligence delivery. We specifically address the use case of an enterprise with a central access management process, showing how QuickSight can be securely integrated into internal-facing applications.

In this post, we spotlight Nico Niemann, a distinguished Amazon QuickSight Community Expert who has made exceptional contributions since joining the community in 2023. As an Associate Solution Expert at Woodmark Consulting, Nico exemplifies the collaborative spirit of the QuickSight Community through his daily dedication to helping others and his role in initiatives like the QuickSight User Group DACH.

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.

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 June 2025.

In this post, we discuss how the NFL succeeded in delivering insights to fans at scale with QuickSight through two groundbreaking experiences: Combine IQ and Draft IQ. These experiences transformed NFL’s talent evaluation events by providing insights on player performance and draft predictions to over 1.14 million visitors and to millions of fans viewing broadcasts worldwide.