Category: Amazon Q

In this post, Robert Martin, Vice President of Technology at Rehrig Pacific Company, shares how the company transformed its analytics capabilities using Amazon QuickSight, enabling it to rapidly deliver insights and enhance customer experience.

In this post, we discuss how you are now able to bring unstructured data from Amazon Q Business into QuickSight Q&A to ask questions about your data and obtain relevant insights from your company documents as well as get enriched insights in data stories.

Today, we’re excited to announce the general availability of groundbreaking capabilities in Amazon Q for QuickSight. These enhancements are set to revolutionize how business users access and interpret data insights, making informed decision-making faster and more accessible than ever before.

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.

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.

In this post, Kyndryl demonstrates how they used Amazon Q in QuickSight to build a Certification Data Explorer tool for analyzing company-wide employee AWS technical certification data, enabling quick insights and data-driven decision-making.

In this post, we’ll share how Mindex, a leading provider of enterprise software development and cloud services, partnered with QuickSight to enhance speed and experience and offer advanced analytics to more than 410 school districts through the SchoolTool Platform. We’ll explore how Mindex used QuickSight to build efficient dashboards and used Amazon Q in QuickSight, harnessing the power of generative artificial intelligence (AI) to make dashboard developers more efficient.

Amazon QuickSight is a serverless, fully managed business intelligence (BI) service that enables data-driven decision-making at scale. QuickSight meets diverse analytic needs with modern interactive dashboards. In Part 1 and Part 2 of this series, we showed how QuickSight can improve power utility operational efficiency and how to create, schedule, and share highly formatted multi-page reports based on different dashboard requirements. In this post, we focus on implementing generative artificial intelligence (AI) in QuickSight and how generative AI can help operators quickly analyze and identify circuit faults to improve power utility operational efficiency.

With over 5350 branches, 8 international offices, and over 16,000 ATMs, Axis Bank is India’s third-largest private sector bank. In this post, we share how Axis Bank used Amazon QuickSight to achieve highly scalable modern business intelligence (BI). As part of our digital transformation journey, we started using AWS to modernize our applications to be cloud-centered. We’ve deployed several mission-critical applications on AWS, from onboarding journeys for Savings, Salary, Staff Account, central Know Your Customer (KYC) platform for video KYC, eKYC, to credit card servicing application.

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.