Category: Generative BI

In this post, we share the new capabilities of QuickSight launched in 2024, helping more customers deliver data insights at scale to make better informed decisions.

In this post, we share how Solomon used Amazon QuickSight and AWS technologies to transform emissions data analysis in the oil and gas industry, reducing analysis time from 6 weeks to just 1 week while providing real-time insights for sustainable operations.

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 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.

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.