Freelancer at a government with 501-1,000 employees
Real User
Top 20
Sep 26, 2025
I have experience with Amazon QuickSight and Redshift, DynamoDB, RDB, and all the umbrella services of data. I have completed a course and am ready to prepare a project for this complete project pipeline for data warehousing, ETL, processing, storage, preparing, cleaning, and all activities of the data pipeline workflow. I have been working with Amazon QuickSight for about one year and a half now. I also have experience in different visualizations such as Python tools and data platforms such as KNIME, and different tools such as Grafana. Grafana is an important tool as well. Amazon QuickSight is a data visualization tool that is a major component in business intelligence to extract insights from the data warehouse. QuickSight helps to extract insights, enabling senior managers to have a clear vision about the data, clients, and organization to make major business decisions or strategic decisions about improving the business. QuickSight is a major tool that helps business decision makers guide the business in the right direction.
I used Amazon QuickSight once for data visualization, but I don't actively use it in my work. It was just for a single project with Amazon QuickSight. I didn't use Amazon QuickSight for integrating with multiple AWS data sources and third-party applications; I only used it for visualizing data I was querying with S3 and Athena. It was a personal project with Amazon QuickSight. I have to add that it wasn't directly related to what I do with my company.
Director at a insurance company with 11-50 employees
Real User
Top 20
Jul 9, 2025
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.
AWS Cloud Solution Developer | DevOps | SpringBoot | Android/iOS at a computer software company with 201-500 employees
Real User
Top 5
Dec 20, 2024
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 creating multiple dashboards. I have created more than one hundred dashboards in QuickSight for various use cases across all the products in our company.
AWS Quicksight consultant at Thermo Fisher Scientific
Real User
Top 20
Nov 25, 2024
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.
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.
Senior Manager - Architecture and engineering excellence at a healthcare company with 201-500 employees
Real User
Top 5
Apr 1, 2024
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 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.
Sr. Business Intelligence Analyst at ClearSource Bpo
Real User
Oct 20, 2023
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.
Senior Database Architect at a tech services company with 201-500 employees
Real User
Jun 1, 2023
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.
Senior Product Manager at a financial services firm with 11-50 employees
Real User
Mar 9, 2023
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.
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.
Data Office Lead at a comms service provider with 501-1,000 employees
Real User
Nov 24, 2022
If your organisation is fully invested in an AWS data stack, then AWS Quicksight is a good choice as a BI tool. Automated basic reporting or dashboarding can be designed and delivered via AWS Quicksight. And if you want to use embedded data science, you can also use AWS Sagemaker and AWS Quicksight. If your org store data within AWS data components like Redshift or Athena or RDS, then Quicksight comes with built-in connectors to fetch data, transform and publish the analyses as a dashboard.
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.
Senior tech architect at a computer software company with 1,001-5,000 employees
Real User
Nov 23, 2021
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.
Director of User Experience at a tech services company with 51-200 employees
Real User
Feb 4, 2021
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.
Quantitative Analyst at a financial services firm with 1,001-5,000 employees
Vendor
Nov 18, 2020
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.
Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. Using our cloud-based service you can easily connect to your data, perform advanced analysis, and create stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.
I have experience with Amazon QuickSight and Redshift, DynamoDB, RDB, and all the umbrella services of data. I have completed a course and am ready to prepare a project for this complete project pipeline for data warehousing, ETL, processing, storage, preparing, cleaning, and all activities of the data pipeline workflow. I have been working with Amazon QuickSight for about one year and a half now. I also have experience in different visualizations such as Python tools and data platforms such as KNIME, and different tools such as Grafana. Grafana is an important tool as well. Amazon QuickSight is a data visualization tool that is a major component in business intelligence to extract insights from the data warehouse. QuickSight helps to extract insights, enabling senior managers to have a clear vision about the data, clients, and organization to make major business decisions or strategic decisions about improving the business. QuickSight is a major tool that helps business decision makers guide the business in the right direction.
I used Amazon QuickSight once for data visualization, but I don't actively use it in my work. It was just for a single project with Amazon QuickSight. I didn't use Amazon QuickSight for integrating with multiple AWS data sources and third-party applications; I only used it for visualizing data I was querying with S3 and Athena. It was a personal project with Amazon QuickSight. I have to add that it wasn't directly related to what I do with my company.
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 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 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.
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 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.
I use Amazon QuickSight in my company to perform some basic analysis of certain data.
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 generate reports from QuickSight, and the data is stored in an S3 bucket.
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.
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.
If your organisation is fully invested in an AWS data stack, then AWS Quicksight is a good choice as a BI tool. Automated basic reporting or dashboarding can be designed and delivered via AWS Quicksight. And if you want to use embedded data science, you can also use AWS Sagemaker and AWS Quicksight. If your org store data within AWS data components like Redshift or Athena or RDS, then Quicksight comes with built-in connectors to fetch data, transform and publish the analyses as a dashboard.
We primarily use the solution for basic reporting, charts, and graphs.
We use Amazon QuickSight for our internal reporting.
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.
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.
We have used it as rapid prototyping for exploring visualizations and analytics with the data. It seems to work quite nicely.
I'm a Business Intelligence Developer. I use QuickSight for developing dashboards and reports. We have its latest version.
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.
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.