AWS Business Intelligence Blog

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 […]

We are excited to announce that Amazon Q in QuickSight is now generally available. This release provides all Amazon QuickSight Enterprise Edition users access to powerful generative business intelligence (BI) capabilities. QuickSight Reader and Author users can now access data Q&A capabilities that previously required accounts to add the QuickSight Q add-on. New Reader Pro […]

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 […]

In this post, Argus Media shares how they used Amazon QuickSight enterprise business intelligence (BI) software to build deep data and analysis capabilities across their organization, from sales to finance to marketing, all the way up to technology operations. Argus Media is the leading independent provider of market intelligence to the global energy and commodity markets. The company offers essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. With a staff of 1,300, Argus is headquartered in London and has 29 offices across the world.

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 […]

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.

Amazon QuickSight is an IAM Identity Center enabled application. Administrators can create a new QuickSight account and use IAM Identity Center for managing QuickSight users and groups. IAM Identity Center can store QuickSight user and group identities within IAM Identity Center itself as an identity store, or they can configure it with a third-party identity provider (IdP) used within their organization. Administrators can use groups in their IdP to assign QuickSight roles (administrator, author, and reader) to users. After they’re successfully authenticated via IdP, users can seamlessly access QuickSight dashboards either from the QuickSight application or as an embedded component within their business applications. Having QuickSight users and groups provisioned in an IdP also helps control authorization to QuickSight resources like dashboards and datasets.In this post, we discuss when you should use which type of instance, the benefits of using IAM Identity Center with QuickSight, how to configure an account instance, and how to use it to access QuickSight.

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.

A leading captive leasing business, offering financing programs for a range of offerings, was challenged to garner insights due to a disjointed legacy data system, which hindered its business growth. To modernize its leasing solutions and adapt to the evolving needs of its customers, the company needed an agile, scalable technology stack for its data system. Using AWS services, they embarked on a comprehensive overhaul of their data infrastructure. This strategic transformation not only enhanced the company’s data processing capabilities but also set the foundation for advances in performance, productivity, and business velocity. This post discusses how this business transformed their growth trajectory and scaled business intelligence (BI) using Amazon QuickSight and Amazon Relational Database Service (Amazon RDS) for PostgreSQL on a modern data architecture on AWS.

Swimming Australia is the highest governing body for swimming in the nation, with nearly 1,000 clubs and 90,000 registered members nationally. Its primary vision is to create a nation of swimmers admired by the world. Two years ago, Swimming Australia established a Performance Insights team to explore data reporting and insights to help improve coach and athlete performance across the country. In this post, we discuss how Swimming Australia uses Amazon QuickSight to provide performance analytics for athletes and coaches.