Category: Amazon QuickSight

At QuickSight, we are excited to introduce Import Visuals, a powerful new productivity feature that allows authors to seamlessly import visuals from existing dashboards or analyses they have access to, into another analysis, streamlining the dashboard and report creation process and enhancing collaboration. The Import Visuals functionality identifies and brings over all associated dependencies, such as datasets, parameters, calculated fields, filter definitions, and visual properties, including conditional formatting rules from a source dashboard. At the destination, the feature resolves conflicts, eliminates duplicates, rescopes filter definitions, and adjusts the visuals to match different sheet types and layouts while respecting the destination theme. Imported visuals are forked from the source, meaning they are no longer linked to the original.

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 Amazon 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 Amazon 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 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.