Amazon QuickSight Reviews

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

The natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms. The performance, data freshness, and speed of providing insights are essential. It is intuitive for self-serve analytics. Efficiency has definitely improved, and the speed of developing analytics and insights has increased by at least twenty percent.

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.

The best part about Amazon QuickSight is the filtration capability. If I want to see the data of a particular client, I can filter that data through the QuickSight dashboard. This feature is very easy and helpful for visualizing data and makes my clients happy. 

Additionally, Amazon QuickSight is very easy to set up, taking about three to four hours with an intuitive data connector for data sources.

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.

QuickSight is a great savior in terms of row level security, providing almost equivalent value to Tableau and Power BI. It helps save money and is highly secure with excellent single sign-on capabilities.

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.

QuickSight offers a very cost-effective reader account model based on session-based costing, making it easy for us to provision accounts for our employees. Additionally, QuickSight is entirely cloud-based, simplifying the access, creation, and provisioning process compared to Power BI. 

The speed at which QuickSight renders data enhances the efficiency, ensuring users do not lose interest due to delays. The range of calculated fields available is very beneficial for data analysis. 

Overall, QuickSight makes it easy to provision, create, and publish dashboards.

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.

Amazon QuickSight has several strong points. It is notably fast in handling large data set refreshes, making it efficient for data analysis. It is also user-friendly, especially for first-time users, due to its simplicity.

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 are using Amazon QuickSight as we see at least 30% time savings.

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.

It helped with visualization purposes. We primarily used charts – pie charts and graphs – which were helpful. Also, the filters were quite useful.

The integration is very seamless. We stored our result CSV files in S3 and connected directly from there.

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.

One area is that integrating data from different sources into QuickSight can be a bit tricky, especially with Amazon Connect. To get data flowing, you need to use two additional services and configure them correctly. 

The setup isn't straightforward and can be time-consuming.

Secondly, while QuickSight is a BI tool, it lacks features to suggest actions or integrate with other systems to turn it into more than just a data display tool.

Additionally, from a user perspective, QuickSight is easy to use if you have analytics experience. For beginners, it takes more time to understand the mechanics, visualizations, and overall functionality. 

Lastly, integration with Amazon Connect can be unstable. Changes on the Amazon Connect side can impact datasets in QuickSight, causing reporting failures. These are some of the drawbacks that needs improvement.