Amazon QuickSight Blogs

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

Showing results: 1-4
Total results: 260
  • date
  • 21 Mar 2025

    Blog Post

    Optimize your Amazon QuickSight implementation: a guide to usage analytics and cost management

    Jesse Gebhardt, Neeraj Kumar, Salim Khan, Sindhu Chandra, Srikanth Baheti
    We’ve heard from customers that analyzing user activity and understanding usage patterns has been challenging. Common questions include “How many Reader Pro licenses have we added in the last 90 days?” and “What’s our actual session consumption pattern?” To address these needs, we’re excited to share a solution that makes it easier than ever to gain insights into your QuickSight usage and make data-driven decisions about your BI implementation.
  • 20 Mar 2025

    Blog Post

    Interac empowers financial analysts with generative AI and Amazon QuickSight

    Manoja Manoharan, Amy Marvin, Prabir Sekhri
    Interac, one of Canada’s leading payment networks, faced the challenge of transforming complex information into actionable insights amidst a 30% surge in data requests over two years. To tackle this, Interac took advantage of the generative AI capabilities of Amazon QuickSight, enabling business users to access and analyze data using natural language. In this post, we highlight our journey implementing generative AI with QuickSight, yielding notable data benefits for business users at Interac.
  • 19 Mar 2025

    Blog Post

    Improve cost visibility of an Amazon RDS multi-tenant instance with Performance Insights and Amazon Athena

    Andrea Filippo La Scola, Davide Coccia
    In this post we introduce a solution that addresses a common challenge faced by many customers: managing costs in multi-tenant applications, particularly for shared databases in Amazon Relational Database Service (Amazon RDS) and Amazon Aurora. This solution uses Amazon RDS Performance Insights and AWS Cost and Usage Reports (CUR) to addresses this challenge. This allows for efficient grouping of tenants within the same RDS or Aurora instances, while helping you implement accurate chargeback models, optimize resource-intensive workloads, and make data-driven decisions for capacity planning.
  • 14 Mar 2025

    Blog Post

    AWS Data & AI Day Copenhagen showcases the latest innovations in analytics and machine learning

    Jonathan Preston
    In this post, we’ll explore how the AWS Data & AI Day event in Copenhagen, Denmark showcased real-world implementations of AWS analytics services, particularly through the lens of customer success stories from Basware, Novo Nordisk, and Casper’s Ice Cream, demonstrating how organizations are using Amazon QuickSight and other AWS services to transform their data strategies.

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Showing results: 1-15
Total results: 839
  • Jesse Gebhardt, Neeraj Kumar, Salim Khan, Sindhu Chandra, Srikanth Baheti, 03/21/2025
    We’ve heard from customers that analyzing user activity and understanding usage patterns has been challenging. Common questions include “How many Reader Pro licenses have we added in the last 90 days?” and “What’s our actual session consumption pattern?” To address these needs, we’re excited to share a solution that makes it easier than ever to gain insights into your QuickSight usage and make data-driven decisions about your BI implementation.
  • Giorgio Periti, Mike Cairns, Shawn Guenther, Erica Faught, 03/20/2025
    Customer expectations are rising, and delivering seamless, AI-enhanced support is now essential. Discover how the Accenture AWS Business Group (AABG) is transforming contact center operations with their Connected Customer Experience (CCE) offering on AWS. Learn how generative AI-driven capabilities empower agents and enhance customer interactions, driving efficiency and modernization for businesses.
  • Suren Gunturu, John Canada, Yasmine Rodriguez Wakim, Avinash Yadav, Vidya Sagar Ravipati, 03/20/2025
    In this post, we explore why Asure used the Amazon Web Services (AWS) post-call analytics (PCA) pipeline that generated insights across call centers at scale with the advanced capabilities of generative AI-powered services such as Amazon Bedrock and Amazon Q in QuickSight. Asure chose this approach because it provided in-depth consumer analytics, categorized call transcripts around common themes, and empowered contact center leaders to use natural language to answer queries. This ultimately allowed Asure to provide its customers with improvements in product and customer experiences.
  • Manoja Manoharan, Amy Marvin, Prabir Sekhri, 03/20/2025
    Interac, one of Canada’s leading payment networks, faced the challenge of transforming complex information into actionable insights amidst a 30% surge in data requests over two years. To tackle this, Interac took advantage of the generative AI capabilities of Amazon QuickSight, enabling business users to access and analyze data using natural language. In this post, we highlight our journey implementing generative AI with QuickSight, yielding notable data benefits for business users at Interac.
  • Andrea Filippo La Scola, Davide Coccia, 03/19/2025
    In this post we introduce a solution that addresses a common challenge faced by many customers: managing costs in multi-tenant applications, particularly for shared databases in Amazon Relational Database Service (Amazon RDS) and Amazon Aurora. This solution uses Amazon RDS Performance Insights and AWS Cost and Usage Reports (CUR) to addresses this challenge. This allows for efficient grouping of tenants within the same RDS or Aurora instances, while helping you implement accurate chargeback models, optimize resource-intensive workloads, and make data-driven decisions for capacity planning.
  • Jonathan Preston, 03/14/2025
    In this post, we’ll explore how the AWS Data & AI Day event in Copenhagen, Denmark showcased real-world implementations of AWS analytics services, particularly through the lens of customer success stories from Basware, Novo Nordisk, and Casper’s Ice Cream, demonstrating how organizations are using Amazon QuickSight and other AWS services to transform their data strategies.
  • Udit Jhalani, Krishnan Hariharan, 03/11/2025
    When it comes to long-term success, Consumer Packaged Goods (CPG) companies have a lot to consider. They need to maintain brand control, improve profit margins, and find new ways to engage customers, among other things. The good news is that the advent of generative artificial intelligence (AI) has created many opportunities for CPG businesses to [...]
  • Madi Hsieh, 02/27/2025
    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. The QuickSight Community is thrilled to invite customers to join our March 2025 events. Discover how Amazon QuickSight is revolutionizing BI and generative BI with our in-person and online events.
  • Ofir Eshel, 02/27/2025
    Organizations require solutions for real time or near real time dashboards that can be provided to their customers without impacting their database performance or service level agreements (SLAs) to their end users. In this post, we showcase the integration of Amazon Web Services (AWS) capabilities to present an end-to-end architecture for this data flow.
  • Diego Hernandez, Opeoluwa Victor Babasanmi, Rashmiman Ray, 02/27/2025
    Introduction AWS services generate rich log and metric data, enabling you to create comprehensive dashboards that reveal valuable insights, including detailed visibility into Virtual Private Cloud (VPC) connectivity patterns. This post demonstrates how Amazon QuickSight and Amazon Q in QuickSight enable data visualization from any source. We focus on visualizing connectivity patterns in VPCs to showcase the [...]
  • Ari Entin, 02/27/2025
    Every year, the National Football League (NFL) Scouting Combine brings together hundreds of the most promising college football prospects to showcase their abilities through a series of physical and mental tests. While individual drill results—like 40-yard dash times or bench press repetitions—provide valuable data points, synthesizing this information into actionable insights presents a significant challenge. [...]
  • Ari Entin, 02/27/2025
    The NFL’s Next Gen Stats Combine IQ system, powered by AWS and Amazon QuickSight, transforms athlete performance data into meaningful insights through real-time tracking, sophisticated analytics, and machine learning models that predict player success probabilities for scouts, teams, and fans following the NFL Combine.
  • 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.