Category: Technical How-to

Amazon Quick Sight now offers customizable tables and pivot tables that empower dashboard readers to personalize their data views without requiring author intervention. In this post, we explore how readers can sort, reorder, hide/show, and freeze columns to focus on the metrics that matter most to their role, enabling faster self-service analytics and more efficient decision-making across sales, finance, operations, and executive teams.

Amazon Quick Sight now provides powerful theming capabilities that solve three critical enterprise analytics challenges: maintaining consistent brand identity, simplifying migration from legacy business intelligence platforms, and creating seamless embedded analytics experiences. In this post, we explore the new theming features and how they help address enterprise analytics needs through interactive sheet customization, visual card styling, and typography control across dashboards.

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 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.

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 part 3 of this post series, we explore API-driven BIOps strategies in QuickSight, focusing on cross-account and multi-environment asset deployment, conflict detection and resolution during dataset updates, and permission management across different environments.

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 part 1 of this post series, we demonstrate how to implement BIOps using the no-code console features of Amazon QuickSight, showing how to version dashboards, reuse visuals, collaborate in parallel, and safely deploy updates through the QuickSight UI.

In this post, we explore how to implement authentication and authorization requirements for Amazon QuickSight embedded web applications, focusing on various approaches for business intelligence delivery. We specifically address the use case of an enterprise with a central access management process, showing how QuickSight can be securely integrated into internal-facing applications.