Amazon QuickSight Blogs

Bringing you the latest QuickSight product updates, best practices and customer successes

Showing results: 1-4
Total results: 281
  • date
  • 17 Jun 2025

    Blog Post

    Transforming B2B intelligence: Tradeshift’s journey with Amazon QuickSight and Amazon Q

    Raphael Bres, Adina Iordache, Anca Andone, and Ioana Ploesteanu
    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.
  • 12 Jun 2025

    Blog Post

    Exporting a subset of AWS CloudTrail Lake events to Amazon S3

    Anjani Reddy, Isaiah Salinas, Ravindra Kori
    Introduction Monitoring and managing your AWS environment is critical to maintaining security and operational excellence. With the availability of AWS CloudTrail Lake data for zero-ETL analysis in Amazon Athena, you can use Athena to query your activity logs in CloudTrail Lake without the operational complexity of moving data or building data processing pipelines. CloudTrail Lake [...]
  • 11 Jun 2025

    Blog Post

    Accelerate Product Growth with Amplitude AI Agents and Amazon Bedrock

    Elvis Pappachen, Luis Romero, Martin Ristov
    Discover how Amplitude’s integration with Amazon Bedrock enables AI-powered product analytics to help organizations automatically detect user friction points, recommend solutions, and implement changes in real time. Learn how this AWS Partner solution transforms analytics from a reactive to proactive process, helping teams drive product growth through automated insights and experimentation. Amplitude has collaborated with AWS to introduce Amplitude AI Agents powered by Amazon Bedrock, transforming traditional product analytics into an automated, proactive process that helps organizations bridge the gap between detecting user behavior issues and taking action. The solution enables product teams to automatically identify friction points, optimize marketing campaigns in real time, and scale experimentation without increasing headcount, while freeing data teams to focus on strategic initiatives rather than routine analysis.
  • 03 Jun 2025

    Blog Post

    June 2025 Amazon Q and Amazon QuickSight events

    Madi Hsieh
    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 June 2025.

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Showing results: 1-15
Total results: 873
  • Donatas Kuchalskis, Jumana Nagaria, 06/19/2025
    This post explores how to effectively architect a solution that addresses this specific challenge: enabling comprehensive analytics capabilities for global teams while making sure that your data remains in the AWS Regions required by your compliance framework. We use a variety of AWS services, including Amazon Redshift, Amazon Simple Storage Service (Amazon S3), and Amazon QuickSight.
  • Raphael Bres, Adina Iordache, Anca Andone, and Ioana Ploesteanu, 06/17/2025
    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.
  • Kai-jia Yue, Sean Mullen, Tyrus Council, 06/17/2025
    In this post, we use AWS Glue, Amazon Athena, and Amazon QuickSight to build a dashboard that tracks costs associated with AWS and third-party providers. This single pane of glass allows for quick monitoring at the senior leadership level, with the ability to dig further into specific spending categories for tools and environments. Additionally, this data system makes further analytics possible.
  • Quentin Morel, Shankar Narayanan, Yogesh Chaturvedi, 06/04/2025
    Introduction: data modernization challenges and on-premises solutions in the power industry In the power industry, modernizing data infrastructure is especially challenging due to strict cybersecurity mandates, data residency rules, and the need for real-time reliability. Furthermore, energy systems are inherently hybrid. They rely on a distributed patchwork of OEMs, protocols, and on-premises infrastructure, often in [...]
  • Madi Hsieh, 06/03/2025
    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 June 2025.
  • Jack Bradham, Meera Balasubramaniam, 06/02/2025
    Organizations managing large audio and video archives face significant challenges in extracting value from their media content. Consider a radio network with thousands of broadcast hours across multiple stations and the challenges they face to efficiently verify ad placements, identify interview segments, and analyze programming patterns. In this post, we demonstrate how you can automatically transform unstructured media files into searchable, analyzable content.
  • Jesse Gebhardt, Ari Entin, Arun Santhosh, Chris Weitzel, 05/29/2025
    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.
  • Bridget Concannon, Guy Bachar, Birender Pal, Mikhail Smelik, 05/29/2025
    When was the last time you found yourself trying to look at rows and rows of data in a spreadsheet struggling to interpret and draw conclusions? Many analysts and engineers experience the same challenge every day. Whether it’s analyzing sales trends, monitoring operational metrics, or understanding customer behavior, the challenge lies not just in interpreting [...]
  • Eugene Corcione, Ajaypal Singh, Francisco Zabala, 05/28/2025
    Mid-Hudson Valley Federal Credit Union (MHVFCU) needed to automate their tools and develop advanced forecasting capabilities to make informed decisions for deposit management and growth to maximize benefit for their members. For this purpose, MHVFCU leadership sought a solution that would not only save time in data preparation and analysis but also provide accurate forecasts for balances across four key deposit products: savings, checking, certificate deposits (CDs), and money market. Read this post to learn about the solution they built with AWS.
  • Mulay Ahmed and Ruby Donald, 05/23/2025
    In this post, we explore how Principal used this opportunity to build an integrated voice VA reporting and analytics solution using an Amazon QuickSight dashboard.
  • Neeraj Kumar, Salim Khan, Siriguppa Venkat Sai, 05/21/2025
    This post offers a solution for monitoring and analyzing QuickSight datasets by providing valuable insights for efficient QuickSight usage and maintenance using a custom QuickSight dashboard. The solution provides a comprehensive view of SPICE ingestion status and type, SPICE usage metrics along with total capacity limit for the account, dataset relationships with dashboards, analyses, and linked data sources along with dataset query mode.
  • Felix Yeung, Konala McGrath, Ramon Lopez, 05/16/2025
    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.
  • Vignesh Srinivasan, Ashok Dasineni, Channa Basavaraja, 05/15/2025
    In this post, we show how to seamlessly integrate Amazon CloudWatch logs with QuickSight using the Amazon Athena connector. With this integration, you can use your CloudWatch logs directly within the intuitive and feature-rich QuickSight environment, thereby unlocking deeper insights and streamlined workflows.
  • Nick McCord, Alex Moening, 05/14/2025
    Note: This post references the use of multi-tenant or shared distributions, which has recently released more formalized support through SaaS Manager for CloudFront. Check out the latest blog to see how multiple domain delivery can leverage SaaS Manager. Amazon CloudFront is the AWS native Content Delivery Network (CDN) that reduces latency, improves availability, and secures [...]
  • Vishnu Elangovan, Keerthi Konjety, 05/14/2025
    In this post, we show you how Amazon Q Business can help augment your generative AI needs in all the abovementioned use cases and more by answering questions, providing summaries, generating content, and securely completing tasks based on data and information in your enterprise systems.