Category: *Post Types

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 announce that Amazon QuickSight is evolving into Amazon Quick Suite, marking a significant leap forward in making comprehensive business insights readily available to everyone in your organization. The evolution introduces several AI-powered features including Quick Research, Quick Flows, Quick Automate, and Quick Index, all accessible through Quick chat while maintaining enterprise-grade security and governance.

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, 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 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.

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.