In my industry, it does not change. I focus mostly on automotive, retail, and finance.

My clients use Amazon QuickSight for reporting purposes. They are building reports and dashboards.

My clients are dealing mostly with simple dashboards, reports, and sending the reports across to them via emails and similar methods.

I use Amazon QuickSight for a user portal where I need to display client data. When I started using QuickSight, I had to create a visual connection with the data source and share it with the client. 

Now, I use the embedded QuickSight feature, allowing clients to see the dashboard within the product when they log in. This setup is for a call center solution to identify fake calls using machine learning algorithms.

I am a consultant. I support clients who have chosen QuickSight as their reporting tool for their businesses. We focus on major use cases like row and column level security, ensuring that different teams can access the same dashboard and see specific data depending on their roles.

I am creating multiple dashboards. I have created more than one hundred dashboards in QuickSight for various use cases across all the products in our company.

I use Amazon QuickSight to develop dashboards for the various lines of business that we cater to at the outsourcing company where I work. These dashboards help us visualize and analyze data specific to each line of business, making it easier to track performance, identify trends, and make informed decisions. QuickSight's flexibility and ease of use make it a valuable tool for creating customized data visualizations for our diverse client base.

We run as a part of our agriculture platform, a lot of web apps and mobile apps. Amazon QuickSight is used in the backend for analytics and data analysis.

We used it to analyze customer usage data within our application. We were consolidating data on user behavior and status, then presenting it to different audiences, such as executives and account managers.

For building executive dashboards, especially when you don't require extensive drill-downs, QuickSight is a good option. However, if you need in-depth drill-down capabilities, Power BI is more flexible at this point.

Amazon QuickSight is a business intelligence tool that gives the user all kinds of reports, like real-time and historical reporting. It allows you to showcase various reports and analytics and even trigger some limited actions. It's primarily designed for advisors or analysts.

I've used it extensively for Amazon Connect reporting.  There are many tools that can integrate with Amazon Connect for reporting, but since Amazon Connect lacks native customization features, one way to customize reporting is to use QuickSight. 

Compared to other reporting tools, it is very effective but does require an understanding of certain concepts in QuickSight. This understanding is crucial for creating dimensions, changing metrics, and visualizing reports. If someone has a thorough knowledge of QuickSight, it is a very good tool that allows for significant customization. 

Recently, with AI integrations coming into play, QuickSight has gained a lot of new features, particularly in its integration with Amazon services and the ability to write queries using simple English. This is a fantastic feature that has helped me create and deploy reports more quickly.

We generate reports from QuickSight, and the data is stored in an S3 bucket.

We primarily use the solution for basic reporting, charts, and graphs.

I am a consultant and an Amazon partner and reseller advising clients about which solution they should seriously focus on. For the current project, I did a comparison on PeerSpot to show them substantial information about which of the platforms is the one which they should prefer because each of them has different strengths and weaknesses, pros and cons.

We use Amazon QuickSight for our internal reporting.

Our primary use case bank in the financial sector, we review the information and make some validation with the legacy system and a book of indicators of KPIs with directors and CEOs.

I'm a student, and I'm using Amazon QuickSight for my research paper. I'm using it for visualization.

I use Amazon QuickSight in my company to perform some basic analysis of certain data.

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

We use QuickSight for the BI and for reporting purposes. We want to integrate two different applications. For example, we would want to merge NetSuite and an accounting solution and get the data from a fancy dashboard. Users can get any information they want at any point. We don’t need to query it every time we need something.

We chose QuickSight because we had a need to build some dashboards several months ago. We were looking for a monitoring dashboard that would provide an overview of what was going on across the organization. Our aim was to utilize Power BI. I'm a solutions architect and we are customers of Amazon. 

We primarily use the solution for reports for our finance team. We take in a lot of data and we use the quick site reports to process and present everything back to our finance team.

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. 

Amazon QuickSight is primarily used to provide reporting on top of some data lakes built on top of AWS. We are primarily an advanced partner with SAP, providing analytics on top of SAP data using AWS services. Since some of our customers don't want to associate with other vendors, we are looking into Amazon QuickSight as one of the BI solutions.

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.

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.

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. 

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

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.