AWS Business Intelligence Blog

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 QuickSight, data is queried from datasets when visuals load within analyses, dashboards, reports, exports, in responses to questions asked in natural language to Amazon Q, or when threshold alerts are being evaluated. Direct queries are sent to the underlying data source every time a request is made. Using SPICE, a refreshable snapshot of the data is cached in QuickSight, and all queries are fulfilled using the latest snapshot in SPICE, no longer connecting to the underlying data source. In this post, we will explore the benefits and factors to consider when using SPICE and direct query mode. Afterwards, we will also discuss when and how to use which query mode most efficiently in different scenarios.

QuickSight users can now use natural language generation to create pixel-perfect reports – a new capability in Amazon Q for QuickSight that simplifies the way users create and distribute visually-rich, highly-formatted reports to their stakeholders. Pixel-perfect reports are crucial because they ensure that every detail of the report, from layout to formatting, is meticulously controlled and aesthetically pleasing. This not only creates a professional data presentation, it also improves comprehension and decision-making among stakeholders.In this post, we cover how to use generative BI capabilities to accelerate pixel-perfect report designing using Amazon Q in the QuickSight console and deliver it to QuickSight users. Pixel-perfect reports can also be delivered to non-QuickSight users in Excel, CSV, or PDF format using Snapshot Export APIs.

We are thrilled to announce that Amazon Web Services (AWS) has been recognized as a Challenger in the 2024 Gartner Magic Quadrant for Analytics and Business Intelligence (ABI) Platforms. This recognition marks the second consecutive year AWS has been named a Challenger, which we believe reflects our ongoing commitment to innovation and excellence in the ABI space. The Gartner Magic Quadrant evaluates 20 ABI companies based on their Ability to Execute, which measures a vendor’s capacity to deliver its products or services effectively, and Completeness of Vision, which assesses a vendor’s understanding of the market and its strategy for future growth, according to Gartner’s report, How Markets and Vendors Are Evaluated in Gartner Magic Quadrants.

Pixel-perfect reports in Amazon QuickSight enable you to create and share highly formatted, personalized reports containing business-critical data to hundreds of thousands of end-users without infrastructure setup or maintenance, upfront licensing, or long-term commitments. To save time copying the same visual multiple times to filter for different values and generate an invoice for all your customers, you can use repeating sections in pixel-perfect reports. With repeating sections, authors can build visuals in a report one time but have the system repeat for as many values of a dimension exist. In this post, we demonstrate how to use this new feature.

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 direeventsct 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!

Prospect is a data analytics company helping the sports industry use artificial intelligence (AI) to power decisions—from the field to the boardroom. Our customers include teams, leagues, governing bodies, broadcasters, ticketing agencies, and sponsors. In this post, we share how we partnered with Amazon QuickSight to shift our business model from a mainly consultative approach to offering our powerful data analysis and business intelligence (BI) tools directly to customers.

The Amazon QuickSight Community is a one-stop shop where business intelligence (BI) authors and developers from across the globe can ask and answer questions, stay up to date, network, and learn together about Amazon QuickSight. In this post, we are thrilled to recognize Erik Göllner, our top Expert of the QuickSight Community for Q1 2024.

The AWS team is organizing exciting new events that will run through the remainder of 2024, delivering engaging sessions on the latest innovations with AWS pertaining to generative artificial intelligence (AI) and business intelligence (BI), Amazon Q, analytics, and machine learning (ML). The events also include a hands-on boot-camp focused on offering tailored solutions to business personas. The aim is to help our customers innovate faster using data analytics, ML, and generative BI on AWS, all with no code. This event is designed to cater to a diverse audience, from business leaders seeking to explore the frontiers of generative AI and Amazon Q to individuals with limited or no coding experience who aspire to dive into end-to-end data workflows. Even seasoned coders are invited to discover how they can unlock faster insights and harness the power of generative BI.

When you embed Amazon QuickSight into your application, you can set your product apart from the crowd, enhance end-user experiences and satisfaction, and generate new revenue streams. After visiting 44 cities and 15 countries in 2023, the Powered by QuickSight (PbQ) Roadshow continues in 2024! Some of the cities we’ve visited include NYC, San Francisco, Chicago, London, Madrid, Rio de Janeiro, Berlin, Santiago, Oslo, Dubai, Phoenix, Dublin, Delhi, Seoul, Auckland, Bogota, Singapore, Mumbai, Amsterdam, Mexico City, and more.