Qlik Sense Reviews

We handle a large volume of data, and it is very challenging to get insight from it. By using Qlik and filling a dashboard on top of it, our ability to analyze and identify our strengths and weaknesses has improved.

The most valuable features are that Qlik has a very strong ATL available and the capacity to handle large volumes of data.

Areas for improvement include user-friendliness, self-service, and some of the visualization options for generating reports.

I've been using Qlik Sense for three to four years.

Qlik Sense's stability is good.

The scalability is good.

Qlik's technical support is great.

Previously, we used QlikView, but we upgraded to Qlik Sense based on an OEM suggestion that QlikView was about to shut down, so we should migrate in order to keep our support from the OEM and technical partners.

The initial setup is straightforward - I would rate it five out of five. We used an agile methodology to implement, starting with one module and then adding multiple modules and enhancements later on.

We used an in-house team for implementation.

We pay for our license on a one-year basis, and I would rate Qlik's pricing four out of five.

We evaluated Tableau and Power BI and chose Qlik Sense because it has an ETL capability.

I would recommend Qlik Sense for those dealing with large volumes of data. Qlik sense can give you complete end-to-end BI implementation. I would rate this solution as nine out of ten.

I've been an user for many years and also a developer that's working as a consultant. I use Qlik to develop apps to extract, load, and transform data from different sources and then use this data to make apps for different departments in my organization. 

I am a consumer of this data as well, as I work for the Controlling Department. We also use NPrinting to send reports to different people in the organization and this saves us a lot of time on manual tasks. 

We extract data from: SAP, SQL DB, Excels, Success Factors, Sharepoint, Oracle, and more. 

Qlik Sense is highly used in my organization as it helps our users to derive insights from the data accurately. 

The visualization objects in Qlik Sense are really good and interactive and help my users to get an understanding of the whole story behind the data. 

Unlike query-based BI tools, the associative model of Qlik Sense has helped them a lot in deriving insights and metrics for the business. Also, it has helped to reduce the time consumed in doing complex reports and sending them to different people.

Qlik Sense has a lot of features that I find valuable.

It's easy to use. As a user, you can learn the basics very quickly and they provide you with free material that makes it easy to learn.

As a developer the tool is easy to learn as well. They keep making improvements to make it easier for users to make their own reports without knowing too much about coding.

You can accurately manage a large volume of data in less time.

Qlik Sense uses an in-memory data model.

It can read a wide range of different sources.

The visualizations are good and keep improving.

The customer support is very good.

I would love to see some improvements in the following areas:

• They need to make it easy to generate documentation of apps, giving information about legacy.
• They need to make security rules to access applications and data security easier and customizable.
• I would love it if they could make a "recycle bin" as users sometimes may delete an app and then cannot recover it unless they have made a backup of the server recently.
• There needs to be better pricing options for on-premises clients Right now, they are focusing more on SaaS.
• NPrinting needs more enhancements in its configuration and error handling.

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

We've never had problems with stability due to the fact that we use an on-premises deployment.

The scalability is very good.

Technical support is very good and quite fast; they have always provided help when I needed it.

We did not use a different solution previously.

It's really easy to install and they make it easier each year.

In some companies yes, we did get help and they were very capable.

We have not measured ROI.

I'd advise that users always try to have more RAM than they think they will need to make it easier to expand in the future. This also applies for CPU cores. 

We did look at Power BI.

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.

I use the product to teach data visualization at a university.

The product responds fast for data analysis.

The product could be less expensive.

It is a stable product. I rate its stability an eight out of ten.

I rate the product's scalability a five out of ten. It depends on the number of servers.

The technical support services are good.

Positive

I have worked with Palo Alto and Power BI.

The tool is very easy to set up. It took me nearly two hours to complete the proof of concept. It requires a couple of days to deploy it in a productive environment.

The product is expensive compared to Power BI. I rate its pricing a nine out of ten.

It is a very good tool for on-premise data analysis. I rate it a six out of ten.

Our primary use case for this solution is focused on the pharmaceutical business, and we deploy it on-premises. We use it typically for dashboards, sales charts, and cost of production for marketing with solutions like Salesforce.

The scripts available in the solution are not great and could be improved. Additionally, the setup should be more straightforward.

We have been using this solution for approximately fifteen years.

The solution is stable.

The solution is scalable.

I rate customer service and support seven out of ten.

Neutral

The initial setup is not too complicated. However, approximately 10 to 15 people are needed for deployment in any project.

It is complicated to calculate ROI for any product.

I rate this solution a nine out of ten. However, because it's very important, the solution is good and can be improved by including data mining and machine learning.

I'm primarily using the solution for analyzing the traffic, sources, electronics, the approval ratio, and payments. It is very similar to QlikView.

The solution offers a lot of data you can use for analysis. 

With Qlik Sense what I really do like is that I can see the status of the leads under the page of conversion. Once I use Qlik Sense, I can see the status of the leads and I don't need to use another platform or software. I can see how many leads an affiliate sends, and I can see the status of his leads. It is also very flexible for me as well.

It's user-friendly. 

The product is very stable. 

Sometimes the refreshing it's not so updated. It's going to take 20 to 30 minutes to refresh sometimes. They're basically taking ten minutes or 15 minutes to refresh. It's got to refresh faster. 

Qlik Sense I've used less than QlikView. Qlik Sense came afterward. I've used it for around ten months to one year.

The solution is very stable. There are no bugs or glitches. It doesn't crash or freeze. Its performance is good. It's reliable. 

The solution offers very good scalability. Since we have a lot of data, I never miss data. We have 1,000 leads and 1,000 activities and everything is shown there.

We have 30 or 40 people using the product. 

We are using project coordinators. Payments are also using it and most probably the business intelligence team as well.

I've never dealt with technical support in the past. I can't speak to how helpful or responsive they are. 

I've used QlikView as well.

I am a customer and an end-user.

I'm not sure which version of the solution we're using. 

There is a lot of data that can be useful for anyone. I'd advise potential users to do good training, see every page that Qlik Sense has, and then start using it.

I'd rate the solution nine out of ten. 

We use Qlik Sense in sales. We analyze all the information about sales channels, customers, and SKUs. We work with all the final information, such as P and L, DSO, and other indicators. We have a lot of indicators from finance, such as information about quality. We are a pharmaceutical lab and have information about the number of lots that we import and released to the market.

We have connected Qlik Sense with SAP and Salesforce. We analyze the information of Salesforce and SAP, such as the number of cases that we receive, the number of the marketing campaign, and the amount of money that we are spending on them.

All the department has that analytics on Qlik Sense

The most valuable features of Qlik Sense are the integration and panel for reports. The integration is very fast even though we process a lot of information. 

The super user can also make changes. It's very friendly to work with after you have had some training. It's very straightforward to make the changes that you need for everyday work.

Qlik Sense is working very well on going to low code and development. They are trying to make their environment more user-friendly. However, the training is not free. When you want to learn more about the tool, sometimes you need to pay for the training. This does not make sense to me because training should be free because the more you learn about the tool the more you use it and the more you are loyal to the company and want to continue usage.

I have used Qlik Sense for approximately there years.

Qlik Sense service is very good, it is stable. We never had a breakdown. The service level agreement is very good.

The scalability of Qlik Sense is very good.

Qlik Sense is used by approximately 35 people in the company with different kinds of data analytics from finance, operations, quality control, and sales. We are using it very broadly in our company.

We have plans to increase our usage of this solution in the future.

I have not needed to use the support, even though we paid for the support.

I was using Microsoft Excel and now I use Qlik Sense. We first started with the desktop version of Qlik Sense and then we migrated to the enterprise. We are now fully integrated with SAP and Salesforce. It has been a long time since we have been working with Qlik Sense as a first tool.

We first decided to train three people in the company with good profiles for data analytics with Qlik Sense. 

We used a company that help us to make the first reports and the first setup. We had very good support from a company from Argentina. They were very supportive and help us a lot. We started to make some development from people from our company and we had help from another company to resolve some issues that were complicated aspects, such as integration. The investments for the deployment were not huge because sometimes an SAP implementation involves a license and a large investment in the development. This is not the case for Qlik Sense.

The full deployment took approximately two months.

We have a company that helps us with the processes with Qlik Sense. For example, the data analytics reports. A professional license allows a very simple way for users to use and modify the reports. We need an expert on Qlik Sense.

The maintenance rate and the maintenance payment that we pay to a third-party company are very low.

We have 20 licenses for Qlik Sense, and it is a special license that allows people in the whole company to use it over time. You buy this license and there are some minutes that can be used. For example, for the users that used only a few minutes in a month, we use this license. All the people have the ability to work with Qlik Sense. However, the number of licenses is not the number of users. The number of users that uses Qlik Sense is approximately 35 people.

We have paid extra to have support from Qlik Sense.

I rate Qlik Sense an eight out of ten.