Qlik Sense Reviews

I use this solution to provide my organization with a self-service BI Tool. This tool not only allows for the consumption of the data in a visual way but also allows the user to modify the question to get new answers. This tool is used mainly to show the company data and KPIs using perspectives that are unique to the user.

Qlik Sense has inspired the users to question the data more. They are interested in making sure there is data quality in the sources and has helped make some quick decisions without the need to do repeat analysis. Qlik has saved users time and lowered the number of requests for analysts to perform ad-hoc reporting.

I think all of the features in Qlik Sense are vital to the product. I enjoy being able to use the ETL features, as well as the front-end scripting (set-analysis). The most valuable feature is that all pieces work together as a platform that allows you to easily provide BI solutions.

The product could be improved by implementing a user-feedback ranking system. This would inspire the new development to be prioritized by the community so that the most requested features would come first. Power BI (Microsoft) currently uses 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.

This is an incredible platform that we use for data analysis.

All the necessary information is available to everyone in real time.

This solution is easy to use, intuitive and has great power for the exploitation of data.

The next version should include more standard integrations.

As a consultant, I used this for a wide variety of use cases. Mainly, the first thing people would look at would be sales and margin reporting, especially in retail (which is the area I work in now). I have also used Qlik Sense as an integration tool to gather data from multiple data sources to be exported and sent to AWS to be picked up by a web marketing tool.

It has improved the amount of time it takes to get information out to the business in a few ways. Firstly, by replacing reporting that was done manually in Excel by business users and giving them that time back. Next, by providing cleansed data to analysts so that they can create their own analysis.

The drag and drop UI has been the most useful to me. Working previously as a consultant, the self-service wizards for loading data weren't too important, as I knew how to load and manipulate data in the script. However, being able to see a list of the different chart types and fields certainly sped me up in terms of creating dashboards and visualizations.

The only thing I would say that comes up is that sometimes it can be a bit buggy. The product updates that come out are fairly regular, which is always nice, but getting bugs here and there that you have to work around can be a bit of a pain at times. This can be taken into account by waiting for a month or two to see if any patches come out (much like with how you would treat Microsoft releases) but if you want to get the latest updates as soon as possible then you need to prepare yourself.

The stability is generally good. I haven't had the same sort of instability that I had with QlikView, but that may be a coincidence.

Scalability is pretty good, but it is very RAM and CPU intensive, so you need to keep on top of this.

Customer service/support is good through the partner, as this is the suggested way to receive feedback.

We used QlikView before (and still have some reports on this). We changed when Qlik ran a good promotion to get people to switch. I had used the product before and knew the benefits that come with Qlik Sense (i.e. the easier self-service for business users), so I was happy to get the chance to switch.

Setup is fairly straightforward. We had a single server to put this on, so we were able to just "next" through the setup wizard, other than supplying a few passwords for services.

We implemented ourselves, as I had previous experience doing this. Our partner, who we have used for work, is generally helpful and had a good understanding of the product.

We haven't really measured this, but this will improve once business users are trained to work for themselves.

Licensing can start to get expensive, but compared to other tools in this space it is about average.

We didn't evaluate any other options as the promotion on getting Qlik Sense whilst being a QlikView customer was too good.

I would say when you start with this tool, take the time to prepare the data first before creating reports and showing the business (especially if you are the only one doing this). This will help with getting ready for giving users the ability to create reports themselves, as opposed to them having to ask you all the time.

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.

Our primary use case is making dashboards for customers.

This solution has improved our organization by making our analysis results available to customers.

The most valuable feature is the drag and drop dashboard creation.

A valuable improvement for this solution would be the enabling of us to host dashboards for our customers.

Applications designed to provide fast and reliable access to financial reports and client profile analysis.

• It provides the ability to integrate our applications with ERP web-based frameworks. 
• It also gives us the opportunity to develop our apps to be used on mobile smartphones and tablets.

The fast and intuitive interactivity of charts and dashboards and the ability to create your own stories in a report.

Better visualization options on charts such as pivot tables, and better control over total lines in the pivot and straight tables without the need to download extensions to accomplish this task.

We use QlikView at the moment, but QlikSense is more modern and can be integrated with web-based systems.

• Building data models and dashboards for my company clients
• Installation and support of Qlik Sense servers
• Maintaining these servers 
• Building a new dashboard 
• What-if scenarios, according to business needs.

A great analysis tool helps us in many ways for showing the great potential of our ERP through Qlik tools.

• Drag and drop 
• Excel exporting on the same view and selection of exported graphs
• Multi-data source connectivity. 

• Real online analytics (OLAP)
• Better implementation of map charts
• Incremental data load solution for better time saving.