AWS Business Intelligence Blog

We’ve heard from customers that analyzing user activity and understanding usage patterns has been challenging. Common questions include “How many Reader Pro licenses have we added in the last 90 days?” and “What’s our actual session consumption pattern?” To address these needs, we’re excited to share a solution that makes it easier than ever to gain insights into your QuickSight usage and make data-driven decisions about your BI implementation.

Interac, one of Canada’s leading payment networks, faced the challenge of transforming complex information into actionable insights amidst a 30% surge in data requests over two years. To tackle this, Interac took advantage of the generative AI capabilities of HAQM QuickSight, enabling business users to access and analyze data using natural language. In this post, we highlight our journey implementing generative AI with QuickSight, yielding notable data benefits for business users at Interac.

In this post, we’ll explore how the AWS Data & AI Day event in Copenhagen, Denmark showcased real-world implementations of AWS analytics services, particularly through the lens of customer success stories from Basware, Novo Nordisk, and Casper’s Ice Cream, demonstrating how organizations are using HAQM QuickSight and other AWS services to transform their data strategies.

HAQM QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With HAQM 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.
The QuickSight Community is thrilled to invite customers to join our March 2025 events. Discover how HAQM QuickSight is revolutionizing BI and generative BI with our in-person and online events.

In this post, we discuss HAQM Q in QuickSight topic curation strategies that can help you enhance user experience, improve answer accuracy, and drive better business decisions.

In this post, we demonstrate how to use HAQM Bedrock model invocation logs to enhance the observability of model usage by using HAQM Athena for efficient log querying and HAQM QuickSight for insightful visualizations.

In this post, we explore how BMW Group used AWS analytics services, AWS Partner solutions, and HAQM QuickSight to build the Shop Floor Business Intelligence (SFBI) initiative.

In this post we discuss the process of creating a comprehensive view of AWS Network Firewall logs using HAQM QuickSight. We explain the steps and resources to construct a tailored analytics dashboard within QuickSight, enabling a better understanding of network events and traffic patterns. This approach aids in identifying anomalies, threats, and network events with fine-grained insights during troubleshooting.

In this post, we explore how HAQM QuickSight collaborated with Stanford University’s SHTEM summer program in 2025 to integrate generative AI and data visualization learning into student research projects. We share insights from four participants who demonstrate how students leveraged QuickSight and HAQM Q to analyze complex data and create visualizations for various research projects, including pulsar detection and electrical circuit optimization.

The HAQM QuickSight Community is a one-stop shop where business intelligence (BI) authors and developers from across the globe can ask and answer questions, stay up to date, network, and learn together about HAQM QuickSight. In this post, we are thrilled to feature Prantika Sinha, one of our top Community Experts for 2024.