Qlik Sense Reviews

Our primary uses for Qlik Sense are sales statistics, order intake, invoicing during a period of 10 years, and customer statistics. Our statistics are grouped by segment, country, business unit, customer, and customer groups. 

Statistics are used to compare costs considering sales price and margin.

We conduct a complete review of the sales statistics including KPI and Highlights, following all of the information available on the order, customer, and product. 

We cover all requirement requests by the sales department and generate reports on a daily, weekly, and monthly basis.

This solution allows us to use a simple drag-and-drop interface to create flexible, interactive data visualizations. We can explore data with smart visualizations that automatically adapt to the parameters we set. There is no need for developers, data scientists, or designers.

This has allowed us to turn our team into creators. They maximize their skills and experience by letting them focus on the things they are best at, instead of setting up data. By unifying data sources we gain a complete view of information, without gaps, and make it easier to discover hidden insights.

The most valuable feature is the interface for the end-user. Each end-user can create their own pages and customizations. This frees up IT resources to work on other problems.

Qlik Sense is intuitive and very easy to use.

The speed at which you get information is impressive. In one click, you have the answer to your question. That's important for the business but also for the user experience.

We want the next version of this solution to be cloud-based so that each user can access it from anywhere in the world with their phone, tablet, or computer without a VPN connection. This is very important for us because we have an initiative called 'Cloud first', and in five years, all software must be in the cloud and easy to access. Essentially, we want to stop using a physical server and avoid on-premises maintenance.

We have been using Qlik Sense for three years.

Our primary use case for this solution is to provide a fast and accurate BI solution for all functional areas. We are building small and simple apps, but also very complex apps. During the time, our clients ware has grown with Qlik and they are asking for more optimized BI solutions to help them in their daily business.

First, we have changed our mindset from Excel thinking to associative thinking. Next, we've gathered deeper insight into our data. Now, using Apps in Qlik as a navigation tool, we are using hidden opportunities to open new markets and also to reduce costs.

Moving from table to graph was a rubicon. After the implementation of all needed extensions, we are receiving only positive feedback and guidelines as to what the next steps are.

The integration with R & Python for predictive modeling, and possibly machine learning in the future, is very valuable.

As we are a very process-oriented company, we would like to see more extensions maintained from Qlik, because it's a huge budget problem to choose the right one. Also, a small set of Qlikview features would be appreciated (such as a simple PDF report directly from Qlik Sense...)

We have had no problems during the development and use of any Qlik product.

Qlik Sense and its pricing model can follow any scalability. 

Prior to this solution, we used Longview (Arcplan). Very hard to maintain, question-answer concept on the SQL Server basis. We needed an easy to deploy data visualization solution that was mobile-ready and had a strong analytical engine. Qlik Sense was the right one for us.

Our setup was small, yet complex in the beginning. After a few "Wow's" we made some "internal friends" for support. Now we have a very complex deployment with several integrations.

Our first implementation was through a vendor, but now we are a well-educated team that still has a vendor as a support and a coach.

You should make a very deep and detailed analysis of what you really need, analyze integration possibilities onto your current system, review internal knowledge, and build a picture of your future BI system in the next five years.

We also evaluated Tableau before choosing this solution.

We primarily use this solution for tactical operations, engineering, logistics, and test engineering to improve throughput, delivery, machine performance, and machine availability.

Different departments use the Qlik platform for quick data analysis to improve business operations and assist with meeting customer demand.

The Qlik BI platform provides quick data analysis to the operations team, which drives them to meet the daily throughput target. It helps our engineers to quickly identify where the bottleneck machines are, and how to resolve the line-hold issues. It also suggests which tasks or actions we need to take in order to fix the problem or to meet our targets.

There are many valuable functions in this solution, including:

• The second generation in-memory association (QIX) engine
• Robust data curation and wrangling capabilities in the script
• The ability to load the data from a wide variety of data sources
• The UI is very easy to use, with drag and drop self-service analytics
• It has the highest level of data security at both the row and column levels

I would like to see real-time data feed into the dashboard, or report, without any limitations.

The new version upgrades should not contain bugs in the basic, required features.

Advanced graphs or visualizations must be in the built-in product, instead of building with open API extensions or mashups.

They have a very good and responsive UI design.

This product deployment works close to a micro-services architecture. So, we scale each service based on requirements and usage.

Customer service is good.

We had been using QlikView and started exploring QlikSense.

Setup and installation of this solution are pretty straightforward.

We performed the implementation in-house with the Qlik team. Their expertise is exceptional.

QlikSense offers a hybrid environment architecture, which is very cost effective based on where the enterprise data resides. The flexible licensing model is based on usage and architecture.

We have evaluated several other BI products in the market.

We have been using QlikSense for the past four months and chose to test out this product after using QlikView for the past eight years.

• Easy to use interface
• Leveraging and reusability of already existing QlikView assets and knowledge
• Powerful data extraction process
• Rich API and web integration capabilities
• Performance

Reducing the number of Excel spreadsheets in house, or at the very least, improving the accuracy of the numbers in those Excel spreadsheets (which come as exports from Qlik charts).

Multi-server deployment: not just cloud, but on premise too, and hybrid. Needs lighter protocols to communicate between the different services and with the clients.

Multi-server computing: the QIX engine is still "limited" to the power of one single computer. While this power increases with better CPUs and bigger and faster memories, data demands even faster handling, only achievable by leveraging on several computers to crunch the numbers.

Data sources connectivity, natively: Drivers tailored to how Qlik processes data and how the sources provide it.

Governance: On the reactive side, see how each node in my development is doing, on the proactive side the ability to spin up new instances for the different needs in different moments (extraction, or data handling in memory or report distribution). Have a unique, central library of apps, but also measures and dimensions which can be used across the different sets of apps. Natively built in tools to analyze who is accessing where, when, providing better insights on apps seldom used and those who are massively accessed, and allowing to provision resources and make these apps more accessible and improve the user experience.

Licensing: Review the named model and move towards a usage model (e.g., cores, memory, computers, API calls, etc.).

More than three years.

No.

Yes, with initial versions.

Mentioned in the area for improvement: Large data sets and sources of data, large applications are limited to a single server (instance or virtual machine).

Good.

Depends highly on the people attending the call, from excellent to poor.

I was not part of this process.

Coming from QlikView, it took some time to get accustomed to new interfaces and functionalities, but all-in-all, quite straightforward. Anyway, Qlik Sense is not QlikView, and the architectural changes require some thought upfront, not just install the server and get it working.

To implement, we used Qlik Consulting Services as well as in-house people, like me.

Cannot measure that.

Triple check with the Qlik Sales Department about your current needs, often smaller than the definitive ones, allowing you to scale the price. Chase them to provide the best solution to your needs, not just a discount, but the one that meets your company requirements (and eventually more).

I was not part of this process.

I have to disclaim that I worked for Qlik in the past, although today I'm a Qlik customer and also a user of other BI technologies in the SAP ecosystem.

• Connect to multiple sources of data without needing ETL prior to load
• Ability to create complex data joins within the script
• ETL features
• Ability to do complex data representation (set analysis)
• Ease of opening documents and connecting to data sources
• Ease of creating dashboard objects
• Smart search
• Associative search
• Storyboarding
• Scalability
• Responsive design

It needs to allow for customization of the dashboard objects and tabs. They should add more chart options, which are still very limited. You have to use a lot of APIs to make up for the limitations. Also, I’d like to see live connections.

I have been using it for six months.

Chart legends as well as the axis titles disappear when charts are not full size.

Customer service and technical support are very good.

Initial setup simplicity or complexity depends on the project and the systems already in place. As for the tool itself, initial setup is straightforward.

I have implemented it in-house and with a vendor team. Business needs need to be fully understood and documented. Most of the issues have always been data related. The development team and the business HAVE to get a full understanding of what the data is, where it is stored, and how it is stored. BUSINESS RULES and a DATA DICTIONARY are a must.

Among Tableau, QlikView, and Qlik Sense, I prefer QlikView, due to its higher customization capabilities, its associative nature, and its ETL features.

Standardization in design/development is crucial. FULL communication and documentation with EVERYONE is needed. I don’t know how much time has been lost or efforts duplicated because of a lack of all this.

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.

My organization offers valuable training on Qlik Sense topics. This helps us to be able to translate business needs into applications that meet the different requirements with efficiency, integrity, and versatility of the tool.

Also, the company I work for aims to help clients realize their full potential by leveraging their data. Through Qlik Sense, it has been possible to develop applications from different sectors that respond to business needs of all kinds with their particular characteristics. 

The all-in-one tool has the ability to perform integrations and the use of complex functions in the development of valuable indicators with high efficiency.

It is a solution that allows my organization to provide value to different clients. Thanks to its capabilities, we can build different requirements with less wear and time.

Also, Qlik Sense, in my organization, allows us to keep track of the time usage of all consultants in a single application. It is consuming data in real-time.

It is important to mention that it has a very high learning curve as a tool, depending on the consultant's degree of knowledge in BI. This is also reflected in user training for being intuitive in different aspects. I can speak of this from my own experience. In ten days, I reached a domain of basic-intermediate knowledge, despite coming from other analytical tools.

The versatility and efficiency when processing data is great.

The ability to integrate data within the same solution makes it incredible.

It has high performance when interacting with dashboards and reports.

Integration of data from different sources is helpful.

As Qlik Sense is an in-memory solution, the performance is fast and provides real-time insights

It offers shorter development times.

The time to assimilate concepts to start developing applications is faster than other analytics solutions, considering that this tool has ETL and Visualization capabilities.

We need more types of visualizations.

We'd like more integration of free extensions.

Even though the solution is a self-service solution, many non-technical users still struggle to create their reports.

Even though the solution is a self-service solution, many non-technical users still find it challenging to create their reports. Having a report publishing feature is also very important and is not native to the local version.

I feel that more dynamic practice-oriented documentation is required that allows non-partner users to get to know the tool and learn about it. The latter also influences the point of self-service that I mentioned earlier. It would be good if the dynamics for constructing self-service reports oriented to non-technical functional users could be further improved.

I've used the solution for nine months.