AWS Business Intelligence Blog

Category: Pixel-perfect reports

Build pixel-perfect reports with ease using Amazon Q in QuickSight

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.

Introducing repeating sections in Amazon QuickSight pixel-perfect reports

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.

New: July sessions of the Amazon QuickSight Learning series

In July, we are continuing our summer sessions for the QuickSight Learning Series! The first week, learn how QuickSight authors can leverage virtual private connection (VPC) deployment with PrivateLink integration. Then, mesh your data with DataZone and other resources in your QuickSight account and see how your business users can get the most with Amazon Q in QuickSight. At the end of the month, hear about our launch of a NEW program for becoming a QuickSight Learning Champion! For our Japanese speakers, learn the capabilities and newly launched features for pixel perfect reports in QuickSight.

Amazon Q is now generally available in Amazon QuickSight, bringing Generative BI capabilities to the entire organization

We’re excited to announce that Amazon Q in QuickSight, previously announced in preview at AWS re:Invent 2023, is now generally available, bringing Generative BI capabilities to all Amazon QuickSight user roles. Organizations have amassed massive amounts of data, and customers we talk with are looking for faster ways to put that data to work informing […]

May 2024 Amazon QuickSight events

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 […]

Meet one of Amazon QuickSight’s Top Community Experts: Sanjeeb Mohapatra

Launched in 2022, 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. We are thrilled to feature Sanjeeb Mohapatra, the top Community Expert for 2023, in this post.

Run Amazon QuickSight API commands and ask QuickSight questions in Slack

This post delves into integrating QuickSight with Slack through AWS Chatbot. AWS Chatbot serves as a ChatOps tool within AWS, facilitating communication and commands through chat clients. It supports notifications from AWS services to chat channels, streamlining monitoring and issue resolution processes.

Streamline your reporting process with Amazon QuickSight automation

Amazon QuickSight stands at the forefront of AWS business intelligence (BI) and data visualization offerings, enabling organizations to create and share interactive dashboards, perform one-time analyses, and glean actionable insights from their data. In today’s data-centric business environment, the ability to efficiently generate and distribute insightful reports across different segments or regions remains a critical challenge for many business. Addressing this challenge, we delve into the automation of report processing workflows. For our use case, a real estate customer wants to send state-specific weekly real estate reports for each state to their regional agents. In this post, we show you how to use QuickSight, combined with its Snapshot APIs and other AWS services, to automate this process.

Harmonize oil and gas datasets and create business intelligence software with Amazon QuickSight

With origins in India and a legacy of more than 50 years, Tata Consultancy Services (TCS) is a global consultancy specializing in a range of technical operations. We operate in more than 50 countries with a highly localized workforce of more than 600,000 employees, across cloud and cybersecurity to analytics and network capabilities. In this post, TCS shares how we built a modern business intelligence (BI) software for an oil and gas client with Amazon QuickSight.

Visualize Amazon QuickSight costs using AWS CUR and cost allocation tags

Amazon QuickSight is a business intelligence (BI) solution that any organization can leverage to share data and insights to anyone in the organization. As a serverless BI tool, it offers a comprehensive set of advanced analytics features, and one core benefit is that pricing is consumption based. That being said, Quicksight can be leveraged for different use cases and each variant might require a different method to track and report on the cost of running QuickSight. In this post, we explore how you can use AWS CUR and AWS tags to monitor how specific users are using QuickSight. We also discuss how these tags can help organizations implement cloud cost controls by providing the data needed to support custom chargeback reporting.