AWS Business Intelligence Blog
Category: Thought Leadership
Optimize your Amazon QuickSight implementation: a guide to usage analytics and cost management
We’ve heard from customers that analyzing user activity and understanding usage patterns has been challenging. Common questions include “How many Reader Pro licenses have we added in the last 90 days?” and “What’s our actual session consumption pattern?” To address these needs, we’re excited to share a solution that makes it easier than ever to gain insights into your QuickSight usage and make data-driven decisions about your BI implementation.
Amazon QuickSight: 2023 year in review
All your trusted BI capabilities of Amazon QuickSight now come with powerful new AI features that integrate chat agents, deep research, and automation in one seamless experience with Amazon Quick Suite! Learn more » As 2023 comes to a close, we at the Amazon QuickSight team wanted to provide you with a summary of all […]
Build embedded analytics architectures using Amazon QuickSight
This post helps cloud architects, cloud engineers, and developers build embedded analytics architectures on the AWS Cloud using AWS purpose-built data analytics services and Amazon QuickSight by providing various architectural patterns for building personalized dashboards based on user role or job function. We also discuss best practices and key considerations that showcase the power of embedded analytics, and share additional resources for getting started with building embedded analytics on AWS.
New enhancements in Amazon QuickSight: Programmatic export to Excel format
Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML)-powered business intelligence (BI) service built for the cloud. You can now export content to Excel workbooks by selecting multiple tables and pivot table visuals from any sheet of a dashboard on the QuickSight console via schedules or programmatically via a set of new Snapshot Export APIs. This post outlines these new functionalities and guides you through their implementation.
Improve power utility operational efficiency using smart sensor data and Amazon QuickSight Part 2: Pixel Perfect Report
In the first post, we showed how Amazon QuickSight can be used to improve power utility operational efficiency. Power utility distribution network engineers or operators can visualize smart sensor status in real time and troubleshoot smart sensor issues. In this post, we share with you how to create, schedule, and share highly formatted multi-page reports based on different dashboards.
Automate financial statements using Amazon QuickSight Snapshot Export APIs
All your trusted BI capabilities of Amazon QuickSight now come with powerful new AI features that integrate chat agents, deep research, and automation in one seamless experience with Amazon Quick Suite! Learn more » Financial statements are a set of documents that contain formal records of financial activities of a business at a specific point […]
Build an analytics pipeline for a multi-account support case dashboard
All your trusted BI capabilities of Amazon QuickSight now come with powerful new AI features that integrate chat agents, deep research, and automation in one seamless experience with Amazon Quick Suite! Learn more » As organizations mature in their cloud journey, they have many accounts (even hundreds) that they need to manage. Imagine having to […]






