Category: Customer Solutions

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, 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 this post, we share how AWS Partner BeyondTrust used the embedded analytics capabilities of Amazon QuickSight to revolutionize their reporting infrastructure, streamline their development process, and deliver enhanced value to their customers.

In this post, we explore how Tradeshift transformed their analytics capabilities by implementing Amazon QuickSight and Amazon Q to deliver powerful, embedded analytics solutions for both buyers and sellers across their e-invoicing and AP automation platform. The solution enables processing of massive datasets ranging from 1M to 100M+ rows while delivering insights in seconds, and integrates Amazon Q’s natural language interface to help users explore data without technical expertise.

In this post, we discuss how the NFL succeeded in delivering insights to fans at scale with QuickSight through two groundbreaking experiences: Combine IQ and Draft IQ. These experiences transformed NFL’s talent evaluation events by providing insights on player performance and draft predictions to over 1.14 million visitors and to millions of fans viewing broadcasts worldwide.

In this post, Opendoor shares how they transformed their business intelligence capabilities by migrating from a legacy SQL-centric tool to Amazon QuickSight, resulting in 80% cost savings, faster dashboard performance, and increased data accessibility across their organization while enabling self-service analytics for non-technical users.

In this post, we share how the Northeastern Regional Information Center (NERIC) partnered with Mindex to develop an innovative cross-district scheduling solution powered by Amazon QuickSight, enabling school districts to efficiently share course information and dramatically reduce the time needed to place students in courses across district boundaries.