We tried to do a proof of concept with QuickSight. Essentially, we were evaluating it for visualization to create charts and graphs to explain the reports that were being generated behind the scenes. Instead of having to go through hundreds of thousands of lines of tables, we just wanted to get a high-level summary and then figure out the areas in which we needed to go deeper. We used its latest version.

We have used it as rapid prototyping for exploring visualizations and analytics with the data. It seems to work quite nicely.

We use Amazon QuickSight as a BI tool for data analysis. When we are working with Amazon data on Amazon Cloud, we use Amazon QuickSight. If I have to build a solution on Amazon data for an IT team or for a quick POC for some customers, I use QuickSite. Additionally, for basic analysis, we use QuickSite. 

It is mainly for dashboarding and visualization.

I am using its latest version. It is deployed on the cloud through an S3 bucket connected to Athena.

I am a technology consulting service provider. 

We are system integrators that help my business customers as a system integrator and I use AWS Services on the machine learning and analytics side.

My area of work is mainly on artificial intelligence and machine learning.

I was using Amazon QuickSight to generate contacts and insights.

There are companies that have contact center operations in order to support their customer queries and to do any in-house analytics on the contact center's performance.

I'm a Business Intelligence Developer. I use QuickSight for developing dashboards and reports. We have its latest version.

With AWS, we work with multiple things, different versions in each area. In most of the areas, I believe we employ the latest version. 

We use Amazon QuickSight to provide data insights.