Category: Analytics

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.

In this post, we demonstrate how to set up and schedule Amazon QuickSight pixel-perfect reports with row-level security for multiple customer groups, enabling organizations to deliver personalized reports to different user groups with varying data access levels using a single dashboard and schedule.

In this post, we demonstrate how to use Amazon Q in QuickSight to obtain immediate, data-driven insights during business meetings by asking questions in natural language and receiving real-time, multi-visual answers. The solution enables teams to explore data conversationally through the built-in Product Sales topic, making analytics more accessible and actionable without requiring technical expertise or dashboard creation.

In this post, we demonstrate how to enable and configure Google Sheets as a new data source in Amazon QuickSight, including the required AWS Secrets Manager Write permissions setup and OAuth authentication process. Learn how to securely connect QuickSight to Google Sheets data, allowing you to transform spreadsheet data into powerful analytics and visualizations using QuickSight’s business intelligence capabilities.

In this post, Availity shares how they implemented Amazon QuickSight and Amazon Q to transform their healthcare analytics capabilities, enabling real-time insights from billions of transactions using self-service analytics and natural language querying. The solution helped Availity reduce dashboard creation time from days to minutes while scaling from 300 pilot users to over 100,000 customers, all while maintaining strict healthcare compliance requirements.

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 September 2025.