Qlik Sense Reviews

This solution is an analytic platform and we are in the early stages of development for our data center.

There are a lot of features available in this solution, it has been very easy to use. We have found it to be less complex and user-friendly compared to other solutions we have used.

I have been using this solution for approximately three months.

The stability of this solution is very good.

The technical support is good.

We are currently using SAP and Qlik Sense.

The initial setup is simple.

The implementation is very easy, we did it ourselves.

I have evaluated other solutions.

My advice to others is to make sure they have a good technical team. We have found that a lot of the consultants go in and out of the business and sometimes you are left alone without assistance. We have been using two solutions simultaneously and I would not advise doing so, focus on one solution at a time.

I rate Qlik Sense an eight out of ten.

We primarily use this solution for operational and financial dashboards and reporting. We now have the ability to share insights on the Qlik mobile platform.

This solution has helped us with faster decision-making and faster data access through the mobile platform.

The most valuable feature is the mobile platform. This is a great way to share insights in meetings.

More pivot table options, like the ability to have the totals row at the bottom of the table, would be helpful.

We have been using Qlik Sense for between four and six months.

We have been using Qlik Sense for centralized reporting and analytics where we have one source of truth that can not be manipulated by users like spreadsheets. We want users to utilize the reports to analyze the data instead of spending hours producing reports that are never analyzed.

We have been using Qlik Sense to generate reports that have taken hours to prepare before that we are now able to update in a couple of minutes and are available to users on a centralized platform where they are able to get the required reports.

We have gained incredible value by using Qlik Sense by now enabling the users to utilize the data and the reports in an analytics platform, with all the users getting the same data and reports that will enable them to use the data and not spend hours preparing data. We now have data at our disposal ready for consumption on an hourly basis that use to take users hours to prepare for use. 

Being able to see the reports, numbers, and analysis of the data on a more frequent basis have enabled the company and executives to focus on the problem areas and track this on a regular basis.

We love the automated reload of data function and being able to join data together from various different sources. The centralized management console gives you incredible power over the security of your reporting platform and data.

We are able to blend together data from our tracking data, operations data, and financial data to display a complete view of driver behavior, productivity, and financial impact. 

The capability of the software has enabled us to extract tracking data through our tracking provider's APIs using the REST connector built into the software.

From the initial setup of the product, we had some struggles getting connections to some of our databases to function, this indicated that some of the data extract drivers can be improved and the addition of some of the older database engines needs to be added in Qlik Sense.

One of the features that would add amazing value to us if we could have a mix of perpetual licenses and subscription licenses. This would give us the benefit to have less frequent users rather on a subscription license and use the perpetual licenses for frequent users.

We have been using Qlik Sense since July 2018.

I would say general business analytics is the primary use of this solution. Anything from Finance files, HR, Operations, Manufacturing, Mining, etc. It's not specific to any use case, but I would say it is used for general all-purpose business analytics.

The associative technology is the solution's most valuable aspect.

Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the UI point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that.

The real-time capabilities need to be improved.

What I mean is, the solution needs to have the ability to leave the data where it is. This is actually something that Qlik has been working to solve, however, traditionally, the way that 99% of Qlik customers use the product is in an offline data cache. This means data gets copied into Qlik, into this Associative In-Memory Engine and then the analysis can be done. 

Obviously, that means data is duplicated. It also requires a certain lead time, from the time the data is changed to when the data is available in Qlik. Traditionally, that was something that was a little bit of a hurdle for customers. 

My understanding is that Qlik is working on several features in this area. They acquired some new products. For example, they acquired a product called Utility in the last nine months or so, which has fixed the real-time data replication change, data capture, that type of thing.

I don't think I can think of any new features it needs right now.

The solution needs to make improvements to the licensing model. They need to make it more affordable at scale, and to make it more affordable for those companies at the low end of the market as well.

I've been using the solution for four or so years.

It's a very stable product. I haven't had any issues with it. I can't recall facing bugs or glitches. The solution hasn't crashed.

The solution does scale wonderfully.

From a technology point of view, the system is quite scalable, horizontally and vertically. You can add more nodes into the system, and you can load balance between nodes and you can of course scale in particular by increasing capacity on the nodes. 

I would say one of the things that hinders scalability a little bit is the licensing models, which is mainly per user, which at scale can become quite expensive.

Our team is extremely technically proficient because we've been around the Qlik product set for many years. It's not that common for us to need support from Qlik. If I have to be honest, in the last couple of years, their support has been okay when we needed it. I wouldn't say it's great. It's a little bit slow and unresponsive sometimes.

The last issue we had had to do with accessing the system via Apple devices with SSL certificates. The problem we had was that we implemented it for the customer with an additional security measure. It was a reverse proxy with its own SSL certificate and that used to work and then stopped working and Qlik hasn't been able to really help us to troubleshoot it properly. It was a nonstandard solution as far as they concerned.

They ended up responding and helping us within about 24 hours.

The initial setup is quite straightforward and happens quickly.

Deployment typically takes a couple of weeks. It could take longer in certain instances.

When I say deployment I'm not talking about installing the software. That's installing the software and developing the first solution.

Most of the time implementation is only done by one person. Obviously, on the larger projects, it can take a few more staff members. For the most part, it's a one-person project and the system is not too complex to configure and set up. Normally the BI Developer is also the BI Administrator and the BI Configurator.

Maintenance would not be a full-time job. One person can handle it part-time.

We help our clients implement and deploy the solution if they require our assistance.

My understanding is that there is just a license fee. I don't believe there are ancillary costs on top of that. It may not be an affordable option for smaller organizations, however, It's more suited to larger companies due to the costs involved.

We are a reseller. We do implementation and deployment as well. All types of businesses use the product, from small to large enterprises. Company sizes range from a few people to thousands of active employees.

Qlik Sense, of course, is a new product that sort-of replaces QlikView. A lot of our customers are still using QlikView. Therefore, we are still using the product, but we're not actively selling it anymore. We are supporting it because all new customers are Qlik Sense.

While we mostly deal with on-premises deployments, the cloud is quickly becoming more popular and has just become available for this solution recently.

The advice I would give to other organizations would be kind of general. For BI projects, the trick is to start with the business value and then find the data to support the business value. Don't try to start with the data and then try and find the business value for that data.

The tool really is a good tool and you can do almost anything with it, but just using the tool is not going to deliver value to your customers. You need to help your customer find business value in what they want to do and then deliver the solution for them.

I would probably give the solution a nine out of ten. The reason being that it is a product that offers real value to businesses and it offers it fast.

Our organization uses Qlik Sense above all for financial reporting to management, as well as for reporting sales, collections, stock to the commercial department, and payment-purchase reporting for the administration department.

We use ERP SAP Bussiness One for the management of the company, which is why we needed a solution for information extraction due to the limited nature of this application in the reporting area.

The version we currently use is Qlik Sense desktop, April 2020 version, and its implementation began at the end of 2018.

The most valuable thing for us is the speed in obtaining data and statistics of our business because due to the complexity of our corporate structure, many times we lost too much time in collecting the data. Currently, that time that we previously dedicated to compiling and refining the figures is dedicated to analysis for data-based decision-making. On the other hand, the analysis has improved the information that the organization manages at all levels, not only at the management levels but also at the operational level.

Obviously and considering that Qlik Sense is a data visualization application, the most attractive feature is the fast handling of large amounts of data and the attractive visualization of the same. The large number of graphs, tables, and other objects that Qlik makes available for data analysis enables the advanced user to understand and discover new relationships between the data they are analyzing. Also noteworthy is the fast pace of updating the program, which I hope will continue in the future.

Qlik Sense advertises itself as a more focused solution so that the end-user can carry out their own reporting, in contrast to its other Qlik View application, which would be for a use more directed at IT professionals who launch static reports that are then used by the entire organization. From my point of view, the possibility for end-users to make their own reports in Qlik Sense is limited to very advanced users who have deep knowledge of the application. I think that in this sense the application could be improved much more so that a less advanced user could get more out of it

I have been using Qlik Sense for one year. 

Fantastic.

Good.

Yes, which is why a good partner is required.

Vendor team. Not a good experience.

We will see it in the future, it is still too soon.

We use this solution for process optimization and getting insight into making better decisions based on data visualization. We have deployed to multiple environments, standard and self-service, among a variety of user groups based on the requirements. This is valid for multiple locations around the world including North America, Europe, and Asia-Pacific. 

Use cases are valid for most of the company's divisions, though some of them are using it more often. We have both user types, including consumers who don't have as many privileges and power users who can take advantage of most of the features.

Qlik Sense has provided insight into specific areas that enabled us to shorten the supply cycle, give a better overview of the company's production, increase profitability, and improve the effectiveness of respective vaccines.

Basically, it improved either processes or decisions for effectively promoting, demoting, or changing products. It presents visualizations enabling easier identification of compounds that lead to greater effectiveness of either trial testing, product delivery, or their supply to the various regions around the world.

The most valuable features of this solution are:

• It has intuitive and user-friendly navigation, which facilitates users' adoption of the tool.
• The associative searching and filtering capability is a unique feature among other BI tools, and one does not need to deeply understand the underlying data.
• The in-memory compression and processing enable quick responses from the server, provided they are properly sized.
• With Adaptable visualizations (mobile/desktop), there is no need to create multiple versions of the report, one for desktop and one for mobile.
• The powerful data handling and preparation ability to transform data is very helpful.

The areas that we feel Qlik Sense can be improved are:

• The administrator tools such as user sessions, active users, task sessions, and the ability to kill, provide insufficient power over what is happening on the platform.
• There is an inability to effectively manage (pre)caching (scheduling, assigning for respective user groups, etc), especially without community extensions or your own development. There is simply no way to automate.
• This solution needs inbuild versioning, backup, dependency analysis, and regression testing.
• This is an imparity between Windows and Cloud versions with respect to functionality.
• Shared development would be a helpful inclusion.
• Core functionality delivered by extensions (Telemetry, CLI) is in need of improvement.

We have been using Qlik Sense for more than three years.

Unless you make users doing development, or exploration of their data in the same environment as is the production, you should be good to go.

Scalability is pretty good, although there are limitations, especially for the Windows version, on the number of machines in one environment.

Unless you pay a premium for Priority support the experience is not great. For some issues, you might wait weeks before a resolution is reached.

Business usually wants to explore new options on how to analyze data. We felt that new tools might offer new capabilities.

Our setup included multiple projects, multiple divisions, multiple environments, cloud setup, security, and load balancing. It was especially extensive.

We used both an in-house team and received assistance from a third-party.

My advice is to always evaluate the respective use cases to determine whether it is the best tool to go with.

Our primary use for this solution is analytic reporting.

Qlik Sense has given us the ability to load large log files and provide analytics.

The most valuable feature is flexibility.

Performing data transformations required a lot of programming, which is something that should be made easier.

We have been using Qlik Sense for three years.

If we encounter issues then there is a lot of support available in the user forum.