My company uses the solution in 60 municipalities in Norway. In my country, the public authorities mostly use the product for municipal planning.

The most valuable features of the solution in terms of data analysis need to revolve around the speed that the tool offers. The product of analytical capabilities and the speed for all the applications are good.

The communication with the solution's sales managers in Europe is not the best, making it an area that requires improvement. My company usually gets no response from the tool's sales managers.

In Qlik Sense, some improvements are required in QMC since it hasn't improved much over the years. QMC is related to the management console, and though it works, it needs improvement.

Some improvements in the data load editor should be considered. The load manager has different sections, and it should be possible for the user to deactivate/activate code by commenting/uncommenting at a section level.

I have experience with Qlik Sense since 2017. My company has a partnership with the solution.

It is a stable solution. Stability-wise, I rate the solution a nine out of ten.

It is a scalable solution. Scalability-wise, I rate the solution an eight out of ten.

My company's customers who use the product are medium-sized municipalities, although some municipalities are large.

I have used the community support offered by the product.

I rate the setup phase a seven on a scale of one to ten, where one means it was difficult, while ten means it was easy.

I rate the product's deployment phase a seven on a scale of one to ten, where one means it was difficult, while ten means it was easy.

The solution is deployed on an on-premises model. We consider to move the product to the cloud.

The product is reasonably priced. You need to pay 5,000 Norwegian kroner per user. Microsoft Power BI is slightly more expensive than Qlik Sense.

In terms of ROI, my company's clients in municipalities who use the solution are very satisfied with it.

My company noticed the AI functionalities associated with the product, but we don't use them.

My company's customers use the analytical capabilities offered by the product. The product offers virtualization in the form of line graphs, maps and bar charts.

I would say before using Qlik Sense, consider that its main competitor, Microsoft Power BI, also costs money if you want to deploy it for use outside of the organization. Though Microsoft Power BI pretty tends to be cheap, it is not. If someone wants to deploy Microsoft Power BI the way my company has deployed it, then it can be an expensive affair. Microsoft Power BI pretends to be a free tool, but it is not available for free.

I rate the tool an eight out of ten.

I remember that a pharma company wanted a BI solution to represent or to create their own reports based on the data from Qlik Sense and the customer data.

Qlik Sense is not meant for writing something from the user interface, which is a major challenge because our company wants users to interact with the reports and to input some comments or data that should get stored into some database. The aforementioned area can be considered for improvement in the product.

With Qlik Sense, there is a need for it to provide good performance because if there is a large volume of data, then its performance becomes slow. User interaction or user experience is not that great in that case if the data size or reports are huge. The aforementioned area can be considered for improvement in the product. Right now, we are trying to follow up with some best practices recommended by Qlik Sense, but to be honest, it is not helping us much because we have very large data in a single application, and we are struggling with it.

The product should have an interactive and friendly user interface.

The use of APIs is not as friendly as it should be in the first place, especially when considering Python scripts and all other scripts, making it an area where improvements are required. There should be some easy way to integrate the product with the aforementioned areas.

I have been using Qlik Sense for four to five years. My company has a partnership with Qlik Sense.

There are no such issues with the stability or performance of the product.

Considering that I have worked with other products like Power BI, I don't see any scalability issues with Qlik Sense.

The user base is quite huge. For a single application, we have different dashboards or applications where the user base for applications or dashboards is different. In any case, the larger user base for a particular application consists of 200 or 300 users.

The solution's technical support is good. I rate the technical support an eight out of ten.

I have experience with Microsoft Power BI. Microsoft Power BI's self-service analytical capabilities are quite easy, which is a great addition to the product. For the data modeling part, I don't need a script, but with some drag and drop options, one can do it, but that is not the case with Qlik Sense since a user needs to have knowledge related to scripts.

It is not very easy to implement the product since you require some technical skills.

The solution is deployed on an on-premises model.

The time taken to deploy the solution depends on how complex the requirements are. For some use cases, considering the requirements, it may take six months to implement. If the requirements are easy, the tool can be implemented in a few weeks.

My company plans to switch from Qlik Sense to another solution.

Mainly, my company wants a product with writeback capabilities.

In terms of the areas that have proven to be the most useful in data analysis needs, I would say that I am currently looking for the writeback extensions now because something our company wants to input a few things from the reports and that should get stored either into the QVD files or either into the database directly.

The product is easy to use in our company, and it is used widely in our customer base. In my company, we don't see any issues with the product.

Trying to integrate Qlik Sense with other third-party solutions has been an issue for my company because the APIs that we use to integrate the tool with other solutions are not easy to use. In terms of APIs, the tool has become complex, and now our company is finding it difficult to integrate Qlik Sense with third-party tools, that has become quite complex for us because it requires the use of APIs, and it is not easy, especially when considering that we have limited knowledge of APIs.

I am not aware of the administrative side of the product since I mostly work on the technical part associated with it.

Whether I would recommend Qlik Sense to others or not depends on their use cases. If the data size and all those things are not the concern, I think Qlik Sense is a good solution. In some other cases, other solutions apart from Qlik Sense may be a good fit. I am not aware of the product from a functional point of view, but technically, if the user base and data size are huge, Qlik Sense can become problematic.

Speaking about how Qlik Sense supports our company's AI-driven decision-making processes, I can say that the tool currently serves our company's purpose, and we are currently looking deeper into the product since we want it to be easy to use and we also want the data size issues associated with the tool to the resolved so that it is able to fit into our needs.

My company did not exactly want the product to be integrated with other tools, but we did want to create and go for a mash-up, which can be accessed by other users, and I felt it was something that was difficult.

I rate the tool a seven out of ten.

The scripting in it is very strong. So, I use the Qlik Sense for scripting.

I like to develop steps in getting a solution for any application, and they have a lot of time, and the application is very efficient.

It offers good control.

Loading the logs is also a good thing.

There is room for improvement in some ways of increasing the power of visualization. The current visualization features feel incomplete compared to what's available with scripting tools.

The current visualizations feel limited. They lack the variety and richness needed for diverse applications. I'd appreciate more options for visually representing data.

More customization options would be very welcome.

I have been using it for a year.

It is a very stable solution.

It is easy to scale.

We use support from the community.

The initial setup is not complex. I didn't find it complex. There is Qlik Management Console (QMC) for managing.

It's not complex, so it doesn't prevent anyone from starting to work with it. Just by being familiar with it, you can use it.

Two people take care of the deployment. It takes around two to three months to implement the solution.

It is easy to control and maintain.

It is a good tool. Overall, I would rate the solution a nine out of ten. I would recommend using this solution.

My clients use Qlik for in-depth analytic analysis, creating touchboards for a variety of purposes. In our case, we prefer an on-premise solution over the cloud, especially for a banking client, to ensure data security and compliance with industry regulations.

One major benefit of having Qlik Sense in our organization is the ability to establish a strong KPI base. While various solutions offer similar capabilities, Qlik stands out for its remarkable speed, especially when compared to alternatives like Tableau. This speed advantage enhances overall efficiency in data analysis and decision-making processes.

The most valuable features of Qlik Sense are its speed and seamless development of web technologies. It is pure HDMI, eliminating the need for cache servers or translation engines, making it one of the fastest solutions compared to others. The direct connection between ML and data adds to its efficiency. Additionally, one standout feature of Qlik is its QVD data model, allowing the creation of data maps that are directly stored in memory, offering fast and efficient data service to consumers. Qlik's ability to handle large datasets with millions of rows is a significant advantage, although there are some limitations.

I would like to see improvements in the Qlik Sense SaaS version, particularly in the front-end capabilities. Currently, the visualization options are limited, allowing only basic actions like adding dimensions and measures with restrictions on the number. Compared to older products like QlikView, there is room for development in enhancing the features available on the front end for widgets and visualizations.

Enhancing the formatting options in the SaaS component and making it more visually appealing would be a nice enhancement. Additionally, expanding the library with more versatile widgets would be beneficial. While you can add components from a marketplace or develop your own, there is a need for Java front-end developers to handle this aspect of Qlik Sense.

I have been using Qlik Sense for four years.

Overall, Qlik Sense is stable, but there can be challenges related to managing the QVD data models, especially when dealing with numerous versions for different periods. While it requires effort to maintain, the system itself is generally stable.

Scaling Qlik Sense is possible by adding more servers, and it is generally smooth for load balancing and disaster recovery. However, making changes to the model can be time-consuming. Overall, it is scalable with effective load management and recovery mechanisms.

Setting up Qlik Sense is easy, especially for default visuals, though coding may be required for more specialized charts. Converting from QlikView to Qlik Sense is seamless for data models. The deployment process involves using Qlik Desktop for model development and two subscription options: on-cloud, which is ready to use, and on-premise, requiring Qlik Sense servers. Maintenance is simplified with admin tools, making it accessible for a developer.

On average, for a consultant company creating reports and delivering a sales model with about five reports, the deployment of Qlik Sense can typically be handled within three months.

We have seen ROI with Qlik Sense.

Qlik Sense is pricier than other BI tools, with various licensing models, including potentially expensive token-based licenses. Organizations should carefully assess their budget and licensing requirements before choosing Qlik Sense.

Comparing it with other BI tools, Qlik Sense stands out by requiring a front-end developer for optimal project development. Unlike Power BI, which needs BI developers, or Tableau and SAP BusinessObjects that don't require Java developers, having a front-end developer enhances the project quality in Qlik Sense.

Before implementing Qlik Sense, my advice is to carefully assess its development needs, as custom components may require coding. While the deployment phase is generally straightforward, take advantage of Qlik Sense's flexibility in data modeling, allowing developers to write scripts for more tailored solutions. It is crucial to document projects for better collaboration among developers. Overall, I would rate Qlik Sense as a seven out of ten.