Qlik Sense Reviews

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.

Neutral

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.

We are right now migrating the QlikView environments (PROD, TEST, DEV) to Qlik Sense. 

Each of the environments is a multiple-node environment. That is the first step of the migration. The second will be to migrate all of the reports to the new tool. 

In parallel, we are also working on some other important aspects, like designing the schedule for the reports (so that they will be refreshed every day in the correct order), also designing security concepts, etc. 

The project is really interesting and gives a lot of great experience. 

It did improve the organization. 

Qlik Sense, in comparison to QlikView, is a more modern tool and gives a lot of new possibilities. 

The reports are better looking than in QlikView. 

What is also important is that QlikView is not supported that much, unlike Qlik Sense. It also does not get the nice updates and new features that Qlik Sense does. In the coming years, that will only become more visible for the users of the reports. 

When it comes to the users, they like lots of data and new ways to look at the same data.

For me, as an administrator/developer, the management console is more user-friendly, so the solution is easier to maintain. Also, some of the features are easier to create - for example, the tasks (they are needed for the reports to be refreshed). 

For the users, the reports look way better, which is quite important as it's easier to find some interesting conclusions based on the data when you have a better-looking dashboard in front of you.

There are a lot of points to be improved. Mostly when it comes to the loading of the data and reload times of the reports, it could be better.

Also, we got some feedback from the users in our company that say they would like to have some new features in the objects on the sheets of the reports. 

What is nice is that the tool has a lot of updates. Every few months, new stuff is available. That it is one of the most important aspects and why we have chosen this particular product for our business intelligence needs. 

I've used the solution for one year.

We have a lot of customer types, but many work with ERPs. We use Qlik to connect to the ERP, analyze data within it, and build dashboards. Sales analysis is usually the first project because sales are crucial for every business. 

However, we also analyze production, manufacturing, and even public administration data depending on the customer's needs. So, our main areas are manufacturing, finance, and the public sector.

It's the "ease of use," like the self-service aspect. My customers appreciate being able to analyze data on their own, without relying on IT for every query.

Additionally, the associative experience of the database and its intuitive data exploration capabilities are key features for users.

The reporting solution recently added to the latest Cloud version, since December or January, is not fully developed. The ability to use tabular reporting, like in dashboards, would be a great feature. 

So, tabular reporting needs development.

Since the product's origin - that was 2016.

Qlik Sense is very stable. I would rate the stability a ten out of ten. Even for rare issues, we receive good support from Qlik. It's a very stable solution.

I would rate the scalability a ten out of ten. You can start with one user and easily scale up to even a thousand without limitations.

We mainly have medium and enterprise, though we also have some small clients. But in the Italian market, "small" and "medium" have different meanings than other markets. A typical Italian medium company might only have 10-15 users, while in other markets, this would be considered small.

The customer service and support are responsive, not so fast, not always fast because there are some problems.

A little improvement is needed because there's a large first level of support with people who have no experience, and you need to escalate to get the right answer. So, the first level needs to be improved.

Positive

The initial setup is very easy. So, I would rate my experience with the initial setup a nine out of ten, where one is difficult, and ten is easy.

The deployment model depends on the customers, like cloud, hybrid, on-premises private cloud, or Qlik Cloud.

Some prefer on-premises only, some hybrid, and some directly on the Cloud. So, all options.

From the initial setup until the tool is ready for production use, the process takes about one month. Longer, some may even ask for more.

There are different phases for on-premises and SaaS deployments. On-premises requires infrastructure configuration and direct installation on customer machines. 

For SaaS, it's very quick, and you can have your instance ready in five minutes. 

The first phase is installation, followed by the analysis, specification, and system requirements definition. Then, we define the initial project to develop.

It is a little expensive for the Italian market. In particular, it's not easy. Right now, other products have more aggressive pricing, making it tough to sell Qlik Sense. 

We sell differently, but it's not easy. A cheaper price would be better for us. Normally, Qlik Sense has two types and costs. The medium cost is around 700 euros per year.

One license costs 840 euros per year, and the other is 400 euros per year. Medium is around 700 or 600 euros.

My recommendation is to use it. It's a unique product in the market due to the technical reason of the associative experience. This is a unique experience for BI products. 

If you want a tool or a system for business intelligence, Qlik should be one of the candidates. It could be perfect option.

Overall, I would rate the solution a nine out of ten.

The use cases depend on the industry. Finance, Telco, Manufacturing & Consumer Goods (CPG). Most of our customers are from these industries. We have regular projects in Mexico. Some use cases are around government requests to all banking and financing institutions, as well as public companies,  to present specific reports every month. We use the solution to generate the reports for our customers. The sales and finance areas have a lot of requirements for such reports to get insights and predictive analysis.

We use Qlik Sense to manage all our sales KPIs as well as renewal plans. It's the tool where all the Go to Market plan is designed and modeled. 

Reporting and Alerting are valuable features of the solution. Many companies are requesting to implement them and now want to explore and use AutoML. It is a machine learning module easy to use with enough capacity to run sales/churn models.

Adoption experience is required. There is some technical background required to do some of the reporting. Customers often request easy interaction with other tools like Excel and PowerPoint.

My organization has been partners with the product for more than ten years.

Two of Qlik's main differentiators are scalability and analytics capabilities. It could solve extensive data size dB.

I rate the support an eight or nine out of ten from the customers' perspective. The platform and the solution itself are quite stable, most of the support requirements are around getting the best usage of the solution.

Positive

The initial setup is quite simple. The setup and integration with the customers can be done fast. The deployment method depends on the industry. It can be deployed on-premises and on the cloud. Banking customers request to have the product deployed on-premise. We have around 50% of the product on-premise and 50% on the cloud.

The deployment takes less than a month. Most of the time, it takes one to two weeks to do the connections and create at least one dashboard in place. Then, depending on how deep the customer would need the reporting to be, it will take longer. It takes mostly two weeks for the setup, dashboards, and getting connectivity ready. We probably need one or two system engineers or IT engineers to deploy the product, no more than that. We have a lot of guys who have good experience with Qlik.

Upfront seems to be the most expensive tool. But when we talk about TCO, then the pricing rate change as this is one "all-inclusive tool" and does not need to add other services/elements to complete the setup.

We see more requirements around machine learning and predictive analytics. The customers could optimize the value for their money and increase ROI by using and getting most of the functionality in place. Most companies initially use the product as a dashboard tool, but if you do that, you are not getting the real value of it. Overall, I rate the tool a nine out of ten.

Our organization moved to Qlik Sense Enterprise to provide real-time data to our business users. 

Most of the data could only be viewed at month's end, and now users can view their data daily. A lot of the reporting has been created and has replaced mainframe reports that were printed on a daily/weekly/monthly/yearly basis. 

We also use Qlik Sense to join our legacy systems data to our most current system so the users do not have multiple reports to look at to get the same data. Qlik Sense also gives them the ability to create their own reports and not wait on IT to get them for them.

Our organization is able to make data-driven decisions now by using Qlik Sense. Users are also able to view the data in a way that makes sense to them besides just a table view. 

The ease of use of Qlik Sense has been invaluable. Our business users are able to create their own reports and visualizations in Qlik. This has helped them become more familiar with the data. 

We've also been able to provide more robust reports that have all the data the business could want to see. Being able to filter down to certain dimensions provides a deeper dive into the data.

All the visualizations have been so valuable. And being able to convert them on the fly with minimal changes so the data can be viewed in a different way is nice as well. 

I have been in many meetings to go over a report, and the business wants to see what the data would look like displayed differently, and it is so convenient to be able to convert an existing visualization to another one. The ability to search the fields that are in an app is a great feature if you need to filter something quickly. 

I am not sure what improvements could be made. Qlik Sense is very user-friendly. 

The only thing I would like to see is the ability to create a master app that opens when a user creates a new app that has all the master items, colors, logos, etc., that my organization uses. This would help with keeping master items the same across the apps and would make development a little quicker. This feature would also make it easier for our business users when they want to create an app since they wouldn't need to worry about adding all the needed data sources to it, it they were already there, and they could just press load.

I've used the solution for five years.

We have 2 primary uses:

1. Technology-created, defined story-driven analytics providing Dashboarding to users that allow drill-down of information to pre-created aggregation levels.

2. Self-service reporting that allows data SMEs to create and manage their own visualizations.

Both use cases are heavily catered for in our business, and we have 80,000+ users across the company.  

Utilizing the Qlik API layer, and a set of React components we are also able to embed Qlik reporting into existing web applications providing fantastic opportunities to bring multiple data sets together into highly customizable portals.

It has provided much more widely available MI to senior stakeholders. Before rolling out Qlik Sense, much of the reporting was completed from incredibly manual spreadsheets or old and slow COGNOS reports.  

Qlik Sense has opened up a new quick-to-market BI tool, that allows business requirements to become a production-ready reality within days rather than months.

Qlik Sense lends itself very well to creating large centrally managed platforms to make better use of scalability. This reduces direct infrastructure requirements, leading to more sustainable solutions.

The extensibility of the Platform with either internally created extensions or the use of third-party provided items really opens the platform up.

Drag and drop objects create a quick learning curve to create basic reports that still provide business benefits.

Continued development for on-premises versions to enable companies with more restricted data sets that cannot move to Saas/cloud solutions to still benefit from new product enhancements

Ability to highly customize infrastructure/environment set-ups to open huge possibilities.

More focus needs to be on data streaming/real-time data reporting. This is currently too slow to use outside of very small data sets.

More focus on CI/CD integration is needed. Having Dashboards stored as very static binary files does not lead itself well to the modern DevSecOps standards and processes.

To compete with other tools in the sector, more focus on the commenting/feedback abilities of users would be beneficial. For example, at an object level, be able to have users add comments to certain data points that other users can view and also comment back on.

We have been using Qlik Sense in various guises since version 3.1 - for about 6 to 7 years now.

The tool scales with infra fairly well. For performant applications on large data volumes, utilizing tooling to hold applications in memory leads to the best results, however, it also requires large infrastructure to support.

Prior to Qlik Sense, we were using QlikView, and shifting to Qlik Sense provided a much more modern architecture. Prior to QlikView, COGNOS was heavily leveraged.

The switch moved us from a very manual, spreadsheet/PowerPoint-based reporting to a much more fluid, dynamic, and interactive solution.

An in-house team was used. Having existing Qlik product knowledge helped make this viable. However, I am aware of other teams within our organization who have used vendor teams to great success as well.

The ROI is high as there are large financial reporting solutions built into Qlik. They have brought large money-saving insights from data and visualizations.

Economies of scale come into play very quickly, especially with no enterprise/infrastructure-specific licensing for Qlik Sense.  

With on-premise solutions, there can be a requirement for some heavy hardware, however, moving into the cloud means this can be reduced.

Tableau, PowerBI, and Looker were all reviewed and clear choices brought Qlik Sense out on top.

Its ability to score highly across the board makes it the best all-around tool, although the others score higher in very specific areas.

The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability. This CDC function excels at reading logs from the original data sources and capturing transactions, almost in real-time. It essentially replicates this data into a secondary database, which is incredibly powerful for ensuring data consistency and availability. Besides that, the platform offers a user-friendly interface and a variety of data visualization tools that make data exploration and analysis a breeze. However, it is the CDC feature that truly stands out as a game-changer in terms of data replication and reliability.

One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows. While it excels in real-time replication, it lacks robust tools for handling batch data processing. This limitation can be challenging when there is a need to create non-real-time, batch pipelines for data integration and transformation.

I have been using Qlik Analytics Platform for three years.

The stability of the platform is generally reliable once it is deployed, regardless of the deployment timeline.

The initial setup is fairly easy. The deployment time for the platform can vary significantly depending on the nature and scale of the project. For larger enterprises like big banks requiring extensive data replication, it might take years to fully deploy. Smaller companies with simpler data needs could potentially deploy the platform in a matter of days. The timeline largely depends on the project's complexity and the amount of data involved.

Qlik Analytics Platform faces tough competition from major cloud providers. These cloud companies are moving customer data to the cloud and providing all-in-one solutions that include data integration, much like what Qlik offers. This puts cloud providers at the forefront of data projects. The challenge for Qlik is that organizations usually prioritize choosing their preferred cloud data storage solution, leaving Qlik as a secondary consideration for integration tools.

My advice to new users considering Qlik Analytics Platform is to carefully assess their data project needs. While Qlik is a solid on-premises platform, the trend in the industry is moving toward cloud-based data solutions, including data warehousing and integration. Cloud data warehouses are often more modern, feature-rich, and scalable. If you are planning to create a new data warehouse in the cloud, it might make sense to also opt for cloud-native integration tools.

The tech world is shifting towards cloud-native solutions, which better match the direction most global data projects are heading. Overall, I would rate Qlik Analytics Platform as a seven out of ten.

The solution is used for helping clients in their decision-making abilities, and to effectively analyze their data.

With the product, we're creating intuitive, interactive, and storytelling dashboards.  

This is a powerful tool with integrated ETL and the ability to handle huge data sets. It's capable of building intuitive and interactive dashboard designs.

The best features include ETL. Transforming data with complex logic can be done within the tool.

The Nprinting is useful. With it, we're scheduling reports directly to end-users.

I'd like to see more end-user-friendly UI designs and the ability to layer objects one by one would make a huge impact.                     

I've been working with Qlik Sense for more than seven years now.

My entire career I've only dealt with Qlik only.