AWS Business Intelligence Blog

In this post, we delve into two game-changing features in QuickSight Pixel-perfect Reports, prompted report and reader scheduling. These tools are transforming how business users access and receive reports that they’re interested in on their preferred schedule.

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 December’s winter break sessions of the Amazon QuickSight Learning Series, we will be hosting live and on-demand sessions following our 2024 re:Invent announcements. Be the first to see our new features in action!

We are excited to announce the Highcharts visual in Amazon QuickSight, a powerful new visual type that significantly enhances data visualization capabilities. This feature enables authors to create a wide array of chart types and design beautifully customized visualizations. Available at no additional cost, it empowers you to configure visuals using the Highcharts JSON schema, offering unprecedented flexibility to meet diverse visualization needs. With the Highcharts visual, QuickSight users can now craft even more impactful and tailored data representations to drive insights and decision-making.

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.