AWS Business Intelligence Blog

This is a guest post by Michelle Atkinson from UrbanFootprint. UrbanFootprint provides spatial data and analysis technology to deliver urban and community resilience insights to power decision-making. UrbanFootprint brings together large volumes of data so decision-makers can perform complex analysis around multiple dimensions of risk. We provide parcel-level coverage for 99% of US parcels. 160 […]

Founded in 1997, GoDaddy is a domain registrar, registry, web hosting, and ecommerce company serving over 21 million entrepreneurs and micro-business customers. GoDaddy’s Data and Analytics (DNA) team is responsible for GoDaddy’s data platform, business analytics, machine learning and AI initiatives. In this post, GoDaddy shares why they partnered with Amazon QuickSight to shorten their multi-week, manual data insight process and build out Generative BI analytics.

Karnataka Bank is a leading commercial bank in India that offers personal, non-residential Indian (NRI) business and agriculture banking services. It operates over 900 branches and serves more than 13 million customers. In this post, Karnataka Bank shares how they moved from legacy reporting systems to Amazon QuickSight enterprise business intelligence.

This month we’ll learn all about advanced QuickSight authoring capabilities and how to get access to all our 2024 re:Invent launches! We’re bringing 2 Japanese language sessions covering embedded features in QuickSight and integrations with AWS Glue. We also have special guests from our partner West Loop Strategy presenting topics on advanced calculations and giving an industry demo of Amazon Q in QuickSight.

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. We host in-person and virtual events across the globe to bring direct learning resources to our customers. Explore our recurring QuickSight Learning Series, PartnerCast, and Immersion Day events, sign-up for ones that fit your interests, and share this post with others!

In this post, Kyndryl demonstrates how they used Amazon Q in QuickSight to build a Certification Data Explorer tool for analyzing company-wide employee AWS technical certification data, enabling quick insights and data-driven decision-making.

In this post, we are thrilled to feature David Wong, one of our top Amazon QuickSight Community Experts for 2024.

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. We host in-person and virtual events across the globe to bring direct learning resources to our customers. Explore our recurring QuickSight Learning Series, PartnerCast, and Immersion Day events, sign-up for ones that fit your interests, and share this post with others!

This is a guest post written by Laurent Balagué from Docebo. Docebo, founded in 2005, is a global provider of learning management systems (LMS). Our platform is used in various industries by more than 3,800 customers, supported by more than 900 Docebo employees. From onboarding, compliance, and workforce training to customer education, partner enablement, and […]

In this post, we explore how to create a simple serverless architecture using AWS Lambda, Amazon Athena, and QuickSight to establish column level lineage. Tracking column-level lineage provides a clear view of each column’s path through different parts of QuickSight, helping to optimize data processing, improve query performance, ensure accuracy, and meet regulatory requirements.