Category: Amazon QuickSight

In this post, we explore how AnyCompany, a mid-sized retail company, helps their business analysts transform complex data without writing a single line of SQL using the new Quick Sight data preparation experience. The step-by-step visual interface transforms how organizations work with data, enabling features like Append, Join, Unpivot, and Aggregate to solve real-world data challenges through an intuitive point-and-click interface that democratizes data transformation for users without technical expertise.

In this post, we show how D2L enhanced its Brightspace Analytics offerings in the Performance+ package using new data preparation features in Amazon Quick Sight, democratizing data insights across educational institutions and enabling educators and administrators to transform raw data into actionable insights through simple clicks without requiring technical expertise. The new Quick Sight data preparation experience has been revolutionary for D2L’s approach to educational analytics by providing a visual, low-code interface for data transformation that removes technical barriers and empowers users of all skill levels to work directly with data.

In this post, we walk you through the new font customization features for axes and data labels in Amazon QuickSight visuals, including step-by-step instructions and best practices for creating more readable and brand-consistent dashboards. These enhancements give you pixel-level control over font size, choice of font family, text styling options, and custom colors to fine-tune your dashboard’s visual design and improve readability for end-users.

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 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.