Qlik Sense Reviews

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. 

Qlik Sense is the BI platform for my company.

At Carasso Motors, we use Qlik Sense and QlikView as back and front end tools for building data warehouses that are used across the company. We also build a variety of data GUI models that are also vastly used.

The main operation of the company is selling new and used cars, which is our focal point on building decision support models that are used by managers of all ranks.

In order to support all fields of operations within the company, we needed a platform able to connect to different kinds of data sources. Qlik Sense makes it easy for us.

Qlik Sense helped us with extracting insight from our data more quickly than before.

We have a need to connect with different kinds of data sources and combine data from different sources into a joint ERD. We find it easy to use the Qlik native data connectors.

As an example, we are now working on a new app that combines data sent to us from a survey that we sent using SurveyMonkey. The survey responses were gathered by email in Excel XLSX files and combined with survey data taken from Salesforce objects using the API connector.

This kind of ERD would have taken much more time to build with PBI.

The data manager on Qlik Sense allows you to clean the data before uploading it into the intuitive interface that creates an automatic script you can later edit to your needs.

It allows you to create a new column using split on a current column, which we find very useful. This feature saves us a lot of development time.

Adding a process tree so that we can see task dependencies would be an improvement.

The security rules should be made easier to use.

I 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.

Our primary use case is making dashboards, executive summaries, and creating an interactive analysis for several teams. Some of these teams are tech-savvy and thus are able to analyze the data themselves. For them, we also provide complex and relational analysis. 

This solution has definitely improved our organization. People are able to drill down information, see visual maps, and create a robust analysis. We provide teams with useful information and analysis to aid in decision-making. Using these dashboards, teams are able to make decisions faster than they otherwise could. Also, in some cases, we have overlapping applications.

The most valuable feature is the drag-and-drop dashboard building, with many types of visuals. Users are allowed to present multiple reports, side-by-side, using dashboard components on a single dashboard page layout. Dashboard components come in a variety of chart types, and we can customize how data is grouped, summarized, and displayed for each component. The drag-and-drop dashboard builder is an intuitive interface for building dashboards from source reports.

This solution would be improved by adding some Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) components that are easier to interpret and design. Maybe adding a module where we can drag and drop various models, test them in a sandbox, and test the outputs before putting them into production would be helpful. 

This is a very stable solution.

This solution seems very scalable in terms of data and sharing.

We did not use another solution prior to this one.

The initial setup is straightforward.

We implemented this solution with an in-house team.

I suggest talking to the Account managers, as they are very resourceful and responsive.

We did not evaluate other solutions before choosing this one.

• 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.

We use this product for data visualizations and interpretation. We are having success with identifying opportunities through seeing our weaknesses. In my time coaching the sales team, I had to find a way for everyone to have access the as much information as possible. Qlik made this very easy for us. Giving the sales team access to data empowered them and also provided them with confidence and the resolve to take all the opportunities that were available in the market. I am amazed at how well this worked.

We use this product for data visualizations and interpretation. We are having success with identifying opportunities through seeing our weaknesses. In my time coaching the sales team, I had to find a way for everyone to have access the as much information as possible. Qlik made this very easy for us. Giving the sales team access to data empowered them and also provided them with confidence and the resolve to take all the opportunities that were available in the market. I am amazed at how well this worked.

The data is incredibly easy to share with colleagues. This enables us to sit together to identify opportunities. Having the sales team sitting around a table accessing the same data made it very easy for them to work together. In an industry where co-operating is a dirty word, my team relished the opportunity to build a strong team to take on the rest of the industry. They excelled at following up and reminding customers that the opportunity was theirs and not ours. Being able to have your say at the right time really helped pave the way for the team to win.

The product is easy to use and provides us with more than what we need. The data is incredibly easy to share with colleagues. There is no downside.

I've used the solution for five years.

This product runs well in most countries - even with limited connectivity.

The product is limitless. You can scale it.

The support for this product is exceptional.

We did use something else, however, the product was not relevant anymore.

The initial setup is very easy.

We did get outside assistance and the vendor was excellent.

We have about a 100% return on investment.

It is expensive, but a worthwhile step.

We looked at Alchemex and Excel.

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.

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.