Amazon QuickSight Blogs

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

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  • Jenna Eun, Bryan Marsh, Hinel Karia, Mark Francis, James Wiggins, 02/25/2025
    Many customers struggle to securely ingest, process, govern, and analyze sensitive healthcare data while adhering to vendor and regulatory requirements including HIPAA. In this blog, we introduce a technical offering that enables customers to efficiently solve these challenges. Solving the implementation challenges of healthcare data strategy Many healthcare organizations find it difficult to implement their [...]
  • Satish Bhonsle, 02/25/2025
    In this post, we discuss Amazon Q in QuickSight topic curation strategies that can help you enhance user experience, improve answer accuracy, and drive better business decisions.
  • Training and Certification Blog Editor, 02/25/2025
    In February 2025, we launched 17 new digital training products on AWS Skill Builder including seven new AWS Builder Labs, four new AWS Jam Journeys, and six major updates to AWS Jam Journeys.
  • Ozan Cihangir, 02/24/2025
    In this post, we demonstrate how to use Amazon Bedrock model invocation logs to enhance the observability of model usage by using Amazon Athena for efficient log querying and Amazon QuickSight for insightful visualizations.
  • Florian Seidel, André Schmidt, Vineet Singh, Carlo Degli Atti Panzeri, 02/19/2025
    In this post, we explore how BMW Group used AWS analytics services, AWS Partner solutions, and Amazon QuickSight to build the Shop Floor Business Intelligence (SFBI) initiative.
  • Keely O'Neill, 02/18/2025
    In the high-stakes world of Formula 1 (F1), where victory is measured in milliseconds, innovation is vital for continued success. For decades, teams have pushed the boundaries of automotive engineering, constantly seeking that elusive competitive edge. The collaboration between Scuderia Ferrari HP and Amazon Web Services (AWS) is redefining the assembly process with data-driven manufacturing. [...]
  • Yash Bindlish, Abhishek Dey, Ashish Jain, Harsh Chheda, 02/18/2025
    In this post we discuss the process of creating a comprehensive view of AWS Network Firewall logs using Amazon QuickSight. We explain the steps and resources to construct a tailored analytics dashboard within QuickSight, enabling a better understanding of network events and traffic patterns. This approach aids in identifying anomalies, threats, and network events with fine-grained insights during troubleshooting.
  • Julia Bernstein, 02/17/2025
    In this post, we explore how Amazon QuickSight collaborated with Stanford University’s SHTEM summer program in 2025 to integrate generative AI and data visualization learning into student research projects. We share insights from four participants who demonstrate how students leveraged QuickSight and Amazon Q to analyze complex data and create visualizations for various research projects, including pulsar detection and electrical circuit optimization.
  • Srividya Parthasarathy, Dylan Qu, Kalyan Kumar Neelampudi, Aritra Gupta, 02/17/2025
    Modern data lakes integrate with multiple engines to meet a wide range of analytics needs, from SQL querying to stream processing. A key enabler of this approach is the adoption of Apache Iceberg as the open table format for building transactional data lakes. However, as the Iceberg ecosystem expands, the growing variety of engines and languages has [...]
  • Julia Bernstein, 02/12/2025
    The Amazon QuickSight Community is a one-stop shop where business intelligence (BI) authors and developers from across the globe can ask and answer questions, stay up to date, network, and learn together about Amazon QuickSight. In this post, we are thrilled to feature Prantika Sinha, one of our top Community Experts for 2024.
  • Jussi Railakari, Anton Garvanko, Roy Yung, 02/11/2025
    In this post, we share how Wisso replaced an embedded reporting system in their client’s kitchen management application using QuickSight. With QuickSight, the client increased user adoption, saved on costs, and could implement new dashboards faster.
  • Francesco Ongaro, Piero Ciffolillo, Alessandro Dovico, Matteo Lanati, Marcello Tava, Toaha Umar, 02/04/2025
    In this post, AWS premier consulting partner Storm Reply and the BMW Group share how they collaborated to migrate BMW Group’s traditional on-premises BI tools to Amazon QuickSight. By using advanced code automation, generative AI, and an AWS serverless architecture, the team simplified the BMW Group’s BI processes, reduced manual efforts, and achieved scalability. The post outlines the specific challenges encountered during the migration and explains how they were overcome through a collaborative approach, using cloud-centered solutions.
  • Sushovan Basak, 02/03/2025
    In this post, we walk you through a solution to aggregate RDS orphan snapshots across accounts and AWS Regions, enabling automation and organization-wide visibility to optimize cloud spend based on data-driven insights. Cross-region copied snapshots, Aurora cluster copied snapshots and shared snapshots are out of scope for this solution. The solution uses AWS Step Functions orchestration together with AWS Lambda functions to generate orphan snapshot metadata across your organization. Generated metadata information is stored in Amazon Simple Storage Service (Amazon S3) and transformed into an Amazon Athena table by AWS Glue. Amazon QuickSight uses the Athena table to generate orphan snapshot insights.
  • Julia Bernstein, 02/03/2025
    We are excited to present the Top 10 QuickSight Experts on the QuickSight Community for 2024! This diverse, global ensemble of business intelligence (BI) professionals has been instrumental in elevating the data visualization landscape, guiding countless others on their BI and generative BI journeys.
  • Austin Park, Raaga N.G, Rayette Toles-Abdullah, 01/30/2025
    Sharing data is essential for organizations to make informed decisions and foster innovation. Amazon Web Services (AWS) offers a variety of tools and services to help distribute data securely and at scale. Whether it’s sharing public data for the common good, monetizing private datasets for business purposes, or collaborating with colleagues, AWS provides the necessary infrastructure and support. Read this post to learn more.