Category: *Post Types

In this post, we explore how Amazon’s Returns & ReCommerce team transformed its analytics capabilities using Amazon QuickSight, resulting in improved performance, enhanced self-service analytics, and significant cost savings.

In this post, we share how GFL Environmental transformed their business intelligence (BI) capabilities by migrating from a legacy BI tool to Amazon QuickSight, resulting in significant cost savings, improved performance, and standardized data governance across the organization.

In this post, we show you how to use Amazon QuickSight to create a centralized dashboard that provides comprehensive visibility into API throttling across your organization. By aggregating throttling data from different accounts and Regions, you can easily assess the impact and improve your response strategies.

In this post, we present a secure solution for delivering Amazon S3 backed content to QuickSight dashboards using public URLs, eliminating the vulnerabilities inherent in public S3 buckets. Specifically, we demonstrate how to use Amazon CloudFront with your private S3 buckets to deliver content to QuickSight. This approach allows organizations to maintain strict security controls while creating visually compelling dashboards that align with their design guidelines and effectively communicate data-driven insights.

At Rekor Systems, we’re at the forefront of revolutionizing public safety and transportation systems through AI-driven technology solutions. Our innovative approach combines machine learning and advanced analytics to transform how organizations manage infrastructure and enhance public safety. In this post, we share our journey of migrating from our legacy business intelligence (BI) tool to Amazon QuickSight, detailing how this transition has dramatically improved our analytics capabilities, reduced costs, and enhanced the user experience for our customers.

In this post, we share how AWS Partner CloudThat helped India-based nonprofit Rocket Learning transition from their legacy business intelligence (BI) tool to Amazon QuickSight, enabling them to securely embed interactive dashboards and adding new generative BI functionality with Amazon Q in QuickSight to support their mission of reaching over 50 million underserved children by 2030.

In this post, we demonstrate the new console and dashboard embedding features available in Amazon QuickSight, using Amazon Q.

In this post, we explore how Prime Video’s central data engineering team used Amazon QuickSight to revolutionize their BI capabilities, streamline operations, and drive data-driven decision-making across the organization.

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 Amazon 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.