AWS Business Intelligence Blog

This is a guest post co-authored by Asem Akhtar from AWS and Vimal Sharma, Patricia Yi, Kevin McAllister and Jennifer Kearney from NBME (National Board of Medical Examiners). NBME (National Board of Medical Examiners) advances healthcare quality for the public by offering high-quality assessments and learning tools for doctors and other health professionals, such as […]

Prevsis aims at caring for workers’ safety, well-being, and corporate sustainability. It focuses on delivering a no-code occupational health and safety (HS) and environmental, social, and governance (ESG) solution with a wide range of data pipelines for robust analytics harvesting with AI capabilities. Users in high-risk industries such as mining, energy, construction, and logistics can digitally manage all their safety and compliance needs through a one-stop interface. As one of the leading digital service providers in the HS/ESG field Latin America, we capitalize on decades of experience to help customers assess and monitor risk levels, enhance operational efficiency, and minimize disruptions across the workplace. In this post, we share how Prevsis used Amazon QuickSight to create more than 700 client dashboards.

The Amazon QuickSight Community serves as a one-stop-shop where business intelligence (BI) authors and developers from across the globe can access learning content, ask and answer questions, stay up to date, network, and learn together about Amazon QuickSight. QuickSight powers data-driven organizations with unified BI at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics, and natural language queries. In this post, we walk through the new QuickSight Arena—an embedded instance of QuickSight on the QuickSight Community—and explain its use cases and how to get started.

We are thrilled to introduce the Top 10 QuickSight Experts on the Amazon QuickSight Community for 2023! This worldwide group of esteemed business intelligence (BI) experts has shared their incredible expertise in data visualization in order to propel others forward on their BI and generative BI learning journey. They dedicate their time to help others, […]

AWS has been named a Strong Performer in the Forrester Wave’s 27-criterion evaluation of augmented business intelligence (BI) platforms providers for Q2 2023. Forrester evaluated 14 providers for their core BI features, ease of integration with machine learning, conversational UI, ease of use, and flexibility. Amazon QuickSight emerging as a Strong Performer validates for us […]

This is a guest post authored by Rahul Subramaniam, Founder and CEO of CloudFix. In this post, we share how our development team saved time and money—and enhanced customer satisfaction—by embedding Amazon QuickSight into our software as a service (SaaS) product. CloudFix is a cloud cost-optimization platform that helps organizations identify cost-saving opportunities in their […]

AWS re:Invent 2023, held this year from November 27 through December 1 in Las Vegas, Nevada, is a learning conference hosted by AWS for the global cloud computing community. The in-person event features keynote announcements, innovation talks, workshops, builder labs, and more. Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale for […]

As 2023 comes to a close, we at the Amazon QuickSight team wanted to provide you with a summary of all that’s new in the product. Over the course of the year, we built capabilities that make data and insights more accessible to business users than ever before. From Amazon Q in QuickSight, which lets […]

This is a guest post by Tony Zakula, Founder and CEO of Kodaris. In this post, we discuss how, by embedding Amazon QuickSight into our Kodaris platform, we’ve added advanced self-serve analytics to our capabilities and deliver up to $500,000 per customer in annual savings for our customers depending on the size of their analysis […]

Are you looking to deploy and manage your Amazon QuickSight assets using the QuickSight asset deployment APIs (also known as asset bundle APIs)? If so, you have two options for exporting your assets: QUICKSIGHT_JSON or CLOUDFORMATION_JSON format. In this post, we explore the pros and cons of each option to help you make the right choice for your organization’s asset needs. We also provide an overview of the API deployment options and some practical guidance on how to use the AWS CloudFormation format. So if you’re ready to learn more about the QuickSight deployment APIs and discover which export option is best for your needs, then let’s get started!