AWS Business Intelligence Blog

In this post, we demonstrate how to programmatically implement feature-level restrictions at the account level using custom permissions in Amazon Quick Suite, helping organizations adopt the latest innovations in generative AI while maintaining enterprise-grade security and compliance. We walk through how to apply custom permissions to turn off AI-based capabilities at the account level for both new and existing Quick Suite account subscriptions using AWS services like CloudTrail, EventBridge, Lambda, and CloudFormation.

In this post, we explore how Amazon Quick Suite administrators can implement comprehensive enterprise governance using custom permissions at account, role, and user levels. The post provides a detailed guide on restricting various capabilities like Flows, Automate, Spaces, Actions, Chat Agents, Research, Analyses, and Dashboards while maintaining security and user access policies.

In this post, we announce that Amazon QuickSight is evolving into Amazon Quick Suite, marking a significant leap forward in making comprehensive business insights readily available to everyone in your organization. The evolution introduces several AI-powered features including Quick Research, Quick Flows, Quick Automate, and Quick Index, all accessible through Quick chat while maintaining enterprise-grade security and governance.

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.

The Amazon Q & Amazon QuickSight Learning Series is a free learning resource hosted by our QuickSight Community. We provide live weekly webinars to give users of all technical backgrounds an on-demand experience to learn from our technical experts. We host weekly sessions, offering multiple topics to our global group of users. Session topics include new feature launches, best practices, and feature deep dives to improve your Amazon Q and QuickSight user experience, empowering you to unlock all that QuickSight and Q have to offer.

In this post, we explore how SSENSE successfully migrated from a legacy business intelligence platform to Amazon QuickSight, enabling self-service analytics across the organization while reducing costs and improving operational efficiency. The migration involved transitioning almost 600 dashboards within 8 months, resulting in substantial benefits including a 25% decrease in dashboard development time, 80% reduction in maintenance tasks, and overall analytics expenses reduced to approximately one-third of previous levels.

In this post, we explore how PayNet transformed its business intelligence capabilities using Amazon QuickSight to enable near real-time payment analytics, improve operational visibility, and enhance data quality monitoring across their diverse payment services.

In this post, we discuss how to find data insights effectively using Amazon QuickSight and Amazon Redshift data sharing across different AWS Regions. This solution enables organizations to use generative BI capabilities through Amazon Q in QuickSight even when their data resides in a Region where these features are not yet available.

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, Wealth Wizards shares how they use Amazon QuickSight and its scenarios feature to democratize financial advice in the UK, enabling data-driven decision-making across their organization while reducing the burden on their data engineering teams.