Category: Generative BI

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.

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 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 this post, we share the new capabilities of QuickSight launched in 2024, helping more customers deliver data insights at scale to make better informed decisions.

In this post, we share how Solomon used Amazon QuickSight and AWS technologies to transform emissions data analysis in the oil and gas industry, reducing analysis time from 6 weeks to just 1 week while providing real-time insights for sustainable operations.

In this post, Robert Martin, Vice President of Technology at Rehrig Pacific Company, shares how the company transformed its analytics capabilities using Amazon QuickSight, enabling it to rapidly deliver insights and enhance customer experience.

In this post, we discuss how you are now able to bring unstructured data from Amazon Q Business into QuickSight Q&A to ask questions about your data and obtain relevant insights from your company documents as well as get enriched insights in data stories.

Today, we’re excited to announce the general availability of groundbreaking capabilities in Amazon Q for QuickSight. These enhancements are set to revolutionize how business users access and interpret data insights, making informed decision-making faster and more accessible than ever before.

This is a guest post by Michelle Atkinson from UrbanFootprint. UrbanFootprint provides spatial data and analysis technology to deliver urban and community resilience insights to power decision-making. UrbanFootprint brings together large volumes of data so decision-makers can perform complex analysis around multiple dimensions of risk. We provide parcel-level coverage for 99% of US parcels. 160 […]

Founded in 1997, GoDaddy is a domain registrar, registry, web hosting, and ecommerce company serving over 21 million entrepreneurs and micro-business customers. GoDaddy’s Data and Analytics (DNA) team is responsible for GoDaddy’s data platform, business analytics, machine learning and AI initiatives. In this post, GoDaddy shares why they partnered with Amazon QuickSight to shorten their multi-week, manual data insight process and build out Generative BI analytics.