As mentioned before, I do not delve very deeply into the product, but pagination was an issue that has since been addressed. I think natural language processing for interacting with data without extensive preparation would be a significant advantage. If I could import the data and start asking questions in natural language, that would be beneficial.

One area for improvement is the cost, as it's a bit expensive. The caching mechanism also charges too much if I need to cache any data. Sometimes it takes time to display data, suggesting a need for enhancement in data visualization speed. 

Additionally, the role-level security is challenging to implement, and it could be improved to allow access control per department more easily.

Some areas for improvement include incorporating automatic relevant filters, allowing better handling of large datasets for filters, simplifying image insertion, and enhancing QuickSight's ability to handle relationships between tables. There's also room for improvement in allowing default downloadable PDF exports for all pages of a dashboard and more diverse font styles.

QuickSight needs to add more visuals similar to what Power BI offers. I have noticed that many drill-down visuals and other visual options available in Power BI are missing in QuickSight.

The product lacks some advanced customization features compared to tools like Power BI, which can be a drawback for more complex data visualization needs.

I must say that I am not aware of the Natural Language Querying feature, as our clients are a little bit behind in this space, so we are not using this so much yet. We are not using Natural Language Processing at all so far.

I have covered some advantages of the product. However, I feel that this solution could be better in some ways, as at the moment, from a development point of view, this is more suited to the technical developers only. A lot of business users want to do self-service, and it's not that friendly or business user friendly for them to do their own work using this product so far. That's what we have found.

Improving it could involve making it easier for an end user to develop, modify the reports and dashboards and generate insights from it. Of course, the Natural Language Processing feature is there, but it is not being used that frequently just yet. Some of those things can be improved in that space for a self-service reporting capability.

The cost of queries is very high. Improvements in drill-down ability and evolving it as an OLAP tool would help more.

Compared to Power BI, I felt QuickSight lacks some features, like delayed drill-downs.

Drill-downs were the main area where we found QuickSight lacking. Especially for root cause analysis, the ability to drill down from a high-level problem to its root is crucial. Aside from that, QuickSight is a good service.

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. 

In one of the use cases, we had to embed the dashboard into the client application. The embedding function doesn’t work well. The solution must be more user-friendly. I have also written some questions on the community page.

I just want a few more features to be added. We'd like an increase in the number of visuals, and we find the graphs are still very restricted.

We need reporting around telementary use and QuickSight users, including which user is opening which dashboard, at what time, and for how long he is using the dashboard. They built reader access based on the session. However, they don't report it anywhere.

I was expecting this very basic thing, yet it has not been rolled out. In order to know which user is opening which dashboard and at what time, I have to basically deep dive into the CloudTrail log. Even there, it's not a very detailed log. It does not give you an idea about the session or session duration. It only gives you an idea about whether a dashboard was loaded or not. 

Currently, auto-reporting is limited to some 30 times a day. As it is, if you want to set a data set to get it refreshed every half an hour, you cannot achieve it. We would like to have more auto-reporting.

The platform’s pricing is a bit hard because even though you get a 30-day trial, you have a standard edition that's only in-house. The product is quite expensive because the price is too close to QlikView's prices but it does not ring as well as QlikView.

I am no professional analytics person, but as a developer and consultant, I think the quality of the product can be improved and be made more feature rich as well. They could do some predictive analytics, and have their graphics be a bit better to make it look nicer.

I also think they should focus on QuickSight as a separate line of business so they can generate better revenue. I have seen many companies bought over that just rest on their laurels and do not show substantial improvement in terms of features or performance like a company that has to fight tooth and nail for their sales.

Right now, you can't use Amazon QuickSight on other cloud providers, so I'd like it to have availability on other cloud providers. This is an area for improvement in the product.

What I'd like to see in Amazon QuickSight in the future is a distributed centralized system where I can manage all reports in one place, and for Amazon QuickSight to become reporting as a service.

I would like to see a feature that allows us to save a draft version before making it public and publishing it. This draft option would allow for comments to be made and those comments to be reviewed. Changes could be made and then published to the public.

I have no idea how other powerful tools such as Tableau and Power BI work, but an area for improvement in Amazon QuickSight is the storage. That needs to be increased, but that also means you have to pay for that increase in storage.

It would be great if Amazon QuickSight had a free trial for students.

I also noticed that the product no longer allows the creation of stories. It used to have that feature, so Amazon QuickSight should bring that back.

Another area for improvement in the tool is data cleanup because I'm experiencing errors when cleaning the data. Some data automatically gets deleted, so that should be improved, and there should be more options for data cleanup.

What I'd like Amazon QuickSight to have in the future is documentation. It needs video tutorials to help users write code and show the different functions and purposes of Amazon QuickSight.

Making joints between different tables in the solution can be a little cumbersome process. I am still in the process of exploring the tool's features, so it's a little bit early to comment on what needs improvement. The number of features in the product is limited in comparison with the other tools in the market, like Power BI. I hope that Amazon QuickSight offers more features like Power BI.

It's not a Tableau. It's not a TIBCO Spotfire. They could do further integration with some data governance and data cataloging. You can't tell a data story as well in QuickSight as you can on others, especially in TIBCO Spotfire. If they integrated it more with some data cataloging and had some guided analytics where it will walk you through everything, that would be ideal. Most clients don't expect it to do that. That said, once again, it isn't a Tableau. The results are as good as Tableau, and yet, it doesn't, from an engineering perspective, tell the data story or allow a user to be able to access a data catalog that lets you drive how your analytics need to go. I don't if they're working on that, however, that would be a lovely enhancement.

It can be made more user-friendly as some users might find this solution hard to implement. Qlik Sense, for example, is very user-friendly. 

The design and visual appearance of the dashboard can be upgraded for improved user efficiency. 

The product lacked connectivity with other third party tools and data sources like Azure or any other cloud. Having that would have enabled us to use the service more widely with people relying more on AWS these days. It would also provide connectivity with other clouds so that the people who want to manage or monitor from the AWS brand can do that.

It's not ideal for reports that are more complex. We're actually looking into other options that allow us to get into more complex queries and offer more dashboards. We'd like to be able to present things using graphs and tables. If people just want the hard data, that can just be exported to Excel. However, we have teams that want visualizations in order to look for trends and display peaks of inactivity or behaviors like that.

Amazon QuickSight has minimal features. The feature set can be improved to allow you to create good production-ready dashboards. This does not happen with QuickSite, it needs to mature to be used in production.

With Amazon QuickSight or any other BI tool, they are limited in what you can do because they're drag and drop tools. For unique features we need or what we want to build, we cannot build using these tools. We use JavaScript for that. We write our own code and build our own solutions.

I need the capability to call machine learning models in Python. For example, while I'm building a dashboard if I am displaying a chart, but the value calculation should be a machine learning model, which is running somewhere else, such as on Amazon. I need that capability because these tools give good outputs, such as calculated fields. However, today the outputs are not straightforward. It's not only some additional or multiplication, but you also need a machine learning output to come, and then you want to show it. These tools cannot do that on the fly. In simple, you can say machine learning on the fly is not currently provided.

Amazon QuickSight's visualization could be improved. Features like data processing capabilities, available in Tableau, are limited in Amazon QuickSight.

The visualizations that it has got are not as robust as some of the other competitors in the market. We would like to have more visuals. 

The modeling side of it is not as robust as Power BI.

It should support integration with Python or R.

Its support should be improved. There isn't much support for this solution.

I don't like the fact that we had to implement it using an iframe. To implement it on a website, you have to use an iframe. It would be better if we could call up an API to populate content on the website versus having your alignment iframe. This is because when it is on a separate server, you have to deal with cores. 

I also couldn't customize the look and feel to meet the environment in which we were trying to install it. Its initial setup was also not straightforward.

We weren't able to fully implement it due to security concerns. One part of our company is currently implementing Databricks because of security issues with AWS QuickSight.

REST API feature is not available in the product. If I want to show the whole visualization and data in a single URL, I can do it through Power BI and Tableau. I did not find it in QuickSight. The product has some storage and SPICE data issues. Achieving visualizations with huge data is possible in Tableau, but it is not possible in QuickSight.

There is room for improvement in terms of the number of visualizations and dashboards that are available. 

There should be better connectors for different data sets. 

It is a simple tool with limited features. Its visualization set is very limited, and it also has limited functionality. An intelligence tool should not be only for creating reports. Currently, we have to do all computational and mathematical operations outside. We should be able to do such operations in an intelligence tool like this.

As an intelligence tool, it should support dynamic refresh. QuickSight currently supports the refresh at a minimum of one hour, and it is not suitable for dynamic dashboards that require frequent refreshes. 

QuickSight is gradually adding new features, but it is not as mature as some of the other products on the market such as Tableau or Power BI.

The cost is something that could be improved, it should at least be competitive at least for a year until they get a good hold on the market penetration.

As I have not yet explored the solution to its fullest, It may already have this available, but what I would like to see is better, drag and drop based integration of the data sources into the Amazon QuickSight dashboard, so that you can automatically integrate it with different types of data cleaning tools.

There could be an end-to-end pipeline for data cleaning as well as presenting it using different visualizations.

They could provide more options for graphics and other features. It has a lot of limitations compared to other database platforms.