AWS Business Intelligence Blog

We’re excited to introduce font customization in QuickSight, a feature that significantly enhances dashboard clarity, engagement, and accessibility. With this new capability, authors gain precise control over typography for each specific visual property. You can set font sizes in pixels, choose colors and font families, and apply styles such as bold, italic, and underline.

In this post, we explain the QuickSight vision for layered maps, explore practical examples of single-layer maps using NYC boroughs and ZIP3 regions, and provide a step-by-step guide to help you create your own custom shape layers. With this new feature, you can now visualize data using specialized geographic boundaries that match your specific business needs, whether you’re analyzing sales territories, demographic patterns, or service delivery areas.

We are excited to announce the addition of the new image component to QuickSight, allowing authors to upload images directly from your desktops, providing greater flexibility to incorporate static images into your QuickSight dashboards, analysis, reports, and stories. This is in addition to the current capability of adding images to text boxes, insights, and custom visual content, requiring a source URL.

In this post, sports entertainment complex Topgolf shares their HAQM QuickSight-powered journey from limited data access to a company-wide culture of data-driven decision making.

With the new application customization feature in QuickSight, you can now create a branded analytics environment that aligns with your organizational identity. For enterprises, this helps with establishing brand coherency and a consistent look and feel for users. For ISVs, it helps with seamlessly integrating QuickSight into the look and feel of the application. In this post, we show how to configure and manage custom brands in your QuickSight account so you can present a branded analytics environment that aligns with your organizational identity to your end-users.

This post walks you through the details of all HAQM QuickSight related sessions and activities at this year’s AWS re:Invent learning conference in Las Vegas.

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 HAQM 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 HAQM QuickSight enterprise business intelligence.

HAQM QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With HAQM 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!