Category: *Post Types

In this post, BMW Group demonstrates how they evolved their Cloud Data Hub beyond breaking down data silos to tackle knowledge silos by making Amazon Quick Sight dashboards discoverable and shareable as data products within their centralized platform. The initiative resulted in a remarkable 197.9% growth in Quick Sight adoption among CDH users within just one year, showcasing how transforming accessible data into actionable visual intelligence can drive decisions across all organizational levels.

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 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.