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.

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.

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.

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.

Qlik Sense is a dashboarding tool, so you can use it for any enterprise-wide dashboarding in areas such as sales, supply chain, HR, etc. If you want to see some KPIs on the dashboard, you can use Qlik Sense.

What I found most valuable in Qlik Sense is its flexibility. It's a very flexible tool, and it has a lot of capabilities compared to Tableau and Power BI. In Qlik Sense, you can take data from any of the systems, and you can do data transformation, prepare the data, then present your KPIs. Data transformation isn't present in Tableau, Power BI, and other tools. In Qlik Sense, you're able to get the data and directly present that data. The presentation layer is also very good in Qlik Sense. My company is very happy with this tool.

What needs improvement in Qlik Sense is the support. It could be faster. My organization had already talked to Qlik management and has escalated multiple times, so management is looking into the support.

I started using Qlik Sense three years ago, and I'm still using it now.

Qlik Sense is very good, stability-wise.

Qlik Sense is a scalable tool, and though it requires a lot of memory, it's still scalable.

The technical support provided by the Qlik Sense team isn't great as it's very slow. My team doesn't get many issues from the solution, so the need to contact support only happens once in a while, for example, every six months. At the moment, support is pathetic, and my company just has connections with Qlik management, so the issues get solved. Normally, you don't get a lot of issues with Qlik Sense.

The main reason we went with Qlik Sense is that we have multiple systems, so we take data from multiple systems then we present the data in a single dashboard on Qlik Sense, so it's a very good tool for that particular purpose.

Deploying the Qlik Sense server took ten to fifteen days because it required a huge infrastructure. If you require very heavy dashboards, you need a very huge infrastructure, and once that is done and all infrastructure is ready, you just need to install Qlik Sense and start using it, which means you can go on building different dashboards.

You can quickly build normal dashboards within the console, but some dashboards, particularly the very heavy and complex ones with a lot of KPIs, required six months to complete, so deployment time would depend on how big the dashboard is and its use case.

We have an in-house team for implementing Qlik Sense, but we also use consultants, especially if our team is busy with other projects. We didn't face any problems with the Qlik Sense consultants.

Normally, we do deployments internally, but the Qlik consultants deployed all the Qlik infrastructure here in our area, then they built one or two dashboards, then left the rest of the dashboard building to our team.

I'm not able to reveal the licensing cost for Qlik Sense, but because it was a huge deal, the cost was less than the usual cost. The license wasn't that costly. It was the infrastructure that was very costly.

I evaluated Power BI and Tableau.

My company is using the dashboarding tools of Qlik called Qlik Sense and QlikView.

I can't remember exactly which version of Qlik Sense I'm using, but it's the version released in November 2021.

My company is happy with Qlik, in particular, QlikView and Qlik Sense, and as of now, there's no drawback identified, or anything creating problems, but because I belong to an SAP-driven company and most of the ERP is SAP, my company is looking into an SAP product such as SAP Analytics Cloud, but my team has not started any project, just looking into the solution.

My company has around two thousand Qlik Sense users now. Right now, because my organization has five thousand licenses, with just two thousand licenses being used, there's no plan to increase Qlik Sense usage.

I would recommend Qlik Sense to anyone looking for a reporting tool.

My rating for Qlik Sense is eight out of ten.

We use this solution for standard reporting for cost and finance accounting. It creates VAT reports, balance sheets reports, and a lot of cost reports. You can split the company into departments and produce individual reports to deduct or extract, for example, German projects, which have to be brought for tax collection for Germany. Since ELIN is an Austrian company, we have to take out the part that has to be allocated to the German tax authorities.

From what I understand, we have data tables in proALPHA and then we have a kind of intermediate bridge, which is the Microsoft environment where this data is copied, and then from that database it is brought into Qlik Sense.

Some of the valuable areas of this solution include producing individual reports and closing the gap. Within proALPHA, it is not possible to implement a link of information from separate parts. This link can be done by Qlik Sense.

What would help is an Excel sheet that is linked directly to Qlik Sense so that instead of having to produce an Excel file, you would already have an Excel file that is connected to Qlik Sense. I don't know why it is not already set up this way because it would be more convenient. Right now, it is complex and you have to understand the data model prior to analyzing it, so basically I would like to see an integration with Excel in the future.

I have been using this solution for two years.

The solution is stable and reliable. 

The solution is easy to scale and about 20 people work with it in my company.
The rollout should be for the full user amount, which is roughly 200% from 20 to 200. But one main report is missing, and it doesn't make sense to roll it out because if they desperately need this one report and if it is not included or not completely correct in this new tool, then we would have understandable complaints from the users.

Integration was my colleague's responsibility. It wasn't easy, and altogether it took about one year. My colleague used some consultants for support because it wasn't easy to understand, collect, and integrate the data in the correct way, but the rest he did himself. 

As far as I understand, there is a very low level of maintenance because he does as much as possible by himself.

Some reports are not fully translated from the old QlikView version into the modern Qlik Sense, including some basic reports in the construction business. One main report is missing because if it was completely deployed in the new Qlik Sense system, QlikView could be closed forever because QlikView's so old.

QlikView only produces aggregated amounts, so you can never trim down in it. In Qlik Sense, it's the opposite. The results are produced by collecting the specific entries, so you always have to trim down, which is obviously the better approach.

Qlik Sense is a good tool for BI in order to connect in normal circumstances, but not for integrated data tables in big ERP systems. I would rate this solution as a seven out of ten.

Qlik is being used as a Business Intelligence and Data Analytics solution. It currently extracts the data from our database and online sources via a Rest API connector. The data is then transformed in the load script and stored in a .qvd file format.

Once this has been completed, applications use a combination of the .qvd files depending on their functionality to allow reporting on areas of the business. Any area with data can be reported on with graphics tailored to the needs of the business. 

Qlik Sense has allowed us to compile and analyze our data in real-time, thanks to the various and specific applications that have been designed and built. This has allowed the organization to make data-informed decisions and has also removed the need for manual tasks, checks, and calculations.

In turn, this has allowed the organization to better utilize time and resources, improving business efficiency and productivity. However, it is worth noting that this is only as good as your data. You must ensure your organization has clean data!

Qlik has a powerful load script that uses an enhanced SQL language which is excellent for loading and transforming the data. 

Qlik can also store data out into a .qvd file format which is very highly compressed. This file format can then be ready by Qlik extremely quickly, allowing it to rapidly process thousands of rows of data. Qlik also has a range of useful visualizations and also allows for custom visualizations to be created and added as an extension. These can be found online or created by yourself.

Qlik application automation needs additional work and features. However, it is still a fairly new development. It appears it has been brought on to replace many of the Qlik management console's functionality for on-premise Qlik solutions. However, it lacks a lot of the same functionality. It is worth noting that it does have additional functionality in some areas compared to the Qlik Management Console.

An interesting development to Qlik Application Automation would be the addition of functionality that allows writing to .qvd files.

I have been using Qlik sense for three years, however, I have only been using Qlik SaaS for the past year.

The solution is very stable.

The product is easily and effectively scalable.

So far, we have not had an issue that required support.

Neutral

We did not previously use a different solution. 

The setup is straightforward.

We handled the setup in-house.

ROI is hard to quantify, however, it has definitely earned its cost.

I'd advise users to negotiate directly with the sales team for the best deal.

The product was already in use at the organization.

Qlik Sense on-prem may be a better solution currently. However, Qlik Sense SaaS will overtake this product soon.

Qlik Sense is our BI tool that provides decision information for the company at all levels and in many departments. We have dashboards, reports, and portals to give information to different kinds of internal or external users.

Right now, we have 150 extractions, 100 transformations, and 60 dashboards for decision-making in finance, inventory, sales, purchasing, supply chain and social media for the company. Qlik Sense is a mission-critical environment  - the directors can't make their work happen without it.

Qlik Sense changed the way the directors do their work. Most of them only use Qlik in their day to find the information that they need for decision-making. They use this information to negotiate with vendors and clients.

Qlik Sense helps us to consolidate data from different sources in a unified way. We analyze different channels or near real-time information from social media to decide in a short period of time.

Qlik Sense also is a way to understand the information that different sources generate and mix it with personal information.

Qlik sense has a lot of advantages, including:
- For the final user it is a simple tool.
- You can develop a dashboard in hours.
- The changes in a dashboard are very easy. We don't have the common problems that we have using multidimensional cubes.
- The In-Memory engine helps to analyze big sets of that in seconds.
- The storage is small. Qlik compresses the data in QVDs.
- The ROI is very fast. The time of implementation is short and the infrastructure is not too expensive. Qlik uses Windows Servers.

I have used this tool for more than 12 years. I did more than 1,000 Qlik applications (extractions, transformations, and dashboards).

I used this tool to analyze information in a lot of different kinds of companies, retail, laboratories, government, banks, goods, etc.

Qlik can be used in small, medium, and large companies.

I am starting to work with Qlik Sense SaaS these days. This environment has its own reporting service, however, one of the things that could be better for the people that are already using Nprinting, is to have a Nprinting in SaaS.

I'd like to see in SaaS some of the things that are running (best practices) in Qlik Sense. On-premise, if things are not working well I need to rebuild some parts of the dashboard. It would be useful to have some tool to analyze the dashboard before you do a migration.

I've used the solution for more than 12 years.

Qlik Sense's platform is very stable. I didn't have problems with the tool. Also, the upgrades are very easy, and you can't find big bugs.

Right now, I am implementing Qlik SaaS. I had a problem with Qlik Multi-Cloud. The vendor and Qlik gave me support in a few hours and I solved the problem.

Positive

We evaluated Tableau and QlikView before.

We did most of the setup in-house.

The ROI is very fast. You can have results in no time.

Qlik Sense is not the cheapest tool, however, the time to ROI is very fast. You can have results in no time.

In four years I've evaluated Power BI and Tableau. I still work with Qlik since the tool is easier than the others and gives us the results that we need. We have all the connections to the sources of our systems.

With Qlik Sense you can mix information very fast. Your data warehouse consumption of storage is very small and you can build it quickly.

Using Qlik Sense, we created many CXO & Senior Leaders dashboards. Qlik Sense is really helpful to leaders to get insights on time, and they can see granular level data easily. UI is superb and easy to navigate from one sheet to another.

Our company has a plethora of source systems, and providing a single source of truth via a common platform was a challenge. There was also a need for a self-service analytics platform that allowed businesses to make decisions on time using any device.

We needed to build a Common Reporting Platform that talks to multiple source systems and are:

• Visually intuitive
• Integrate Analytics with Mobile App
• Set up Data Governance and create an enterprise data warehouse

Multiple products were considered, but we chose QlikSense.

Initially, data was kept in silos and business users were reporting at their business level. It was a really cumbersome process to collate data at the company level. After Qlik Sense, we prepared data in one place and transformed it to create Qlik UI. 

The company has a plethora of source systems, and providing a single source of truth via a common platform was a challenge. There was also a need for a self-service analytics platform that allowed businesses to make decisions on time using any device.

Proposed Solution

We worked to build a Common Reporting Platform that talks to multiple source systems and is visually intuitive, integrates analytics with mobile and has Data Governance.

The most valuable aspects of the solution include the :

• ETL and visualization, user stories, and insight advisor
• Self-Service - a clean and modern user experience with Global Smart Search, Associative Exploration, and Advanced Navigation
• Data Visualization  or rich charting, visual interactivity, and smart visualizations
• Data storytelling
• Rapid API development
• Embedded analytics
• Custom extensions
• Powerful, multi-source data integration
• Direct discovery
• Qlik admin  from the Qlik Management Console
• Qlik Sense Monitoring
• Deployment Console
• Data Governance

Qlik Sense brings in the concept of shared libraries where one user can create custom dimensions (even with drill-down functionality), measures, and even visualizations and save it to the "Master Items," from which the other users can simply drag and drop to use it for their analysis.

We are planning to move to Qlik SaaS to mitigate the below issues - 

• The app performance is a challenge for all users
• Section access and other security parameters are complex
• Managing the environment is a major task for company upgrades are not being leveraged to the recent releases
• Regularly maintaining all the environments with the same version and implementations
• Auto ML is a need as this will help businesses make data-driven decisions.
• Use cases about salesforce embedding is critical
• Real time data ingestion and automaton of the ETL are becoming important
• Alerting and reporting for the business users for their analytics requirements is needed

Previously We were using Qlik Enterprise onPem, but we moved to Qlik SaaS last year. 

The product is stable with very good features.

This is very easy to scale. 

Customer service support was good bit not extraordinary. 

Positive

It was complex migration process - Qlik Onprem to Qlik SaaS. 

Through Qlik Services, we migrated our dashboards to Qlik SaaS

We are able to save many manhours by automating the solution.

Qlik Sense is excellent for Leadership reporting purposes. Its specialty is quick data rendering, and data drill-down, which has been quite useful. The GUI is excellent.

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 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.