Category: Amazon Q

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.

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.

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.

This is a guest post from Anthology. Created in the merger of four leading education technology companies—Blackboard, Campus Management, Campus Labs, and iModules—Anthology offers the world’s largest global EdTech ecosystem. Delivering and supporting Learning Management Systems, Student Information Systems, and Customer Relationship Management products, they operate in over 80 countries, serving more than 150 million […]