Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of use cases, including centrally deployed guided analytics apps and dashboards, custom and embedded analytics, and self-service visualization, all within a scalable, governed framework. The solution comes in three different editions - Qlik Sense Desktop, Enterprise and Cloud.
The Qlik Sense system offers data visualization and discovery for individuals and teams. The software's data discovery tool helps businesses of all sizes explore simple and complex data and find all possible associations in their datasets. With the drag and drop interface, users can create interactive data visualizations to present the outcome in a story form.
Qlik Sense offers a centralized hub from where every user can share and find relevant data analyses. The solution is capable of unifying data from multiple databases including Cloudera Impala, IBM DB2, Microsoft SQL Server, Oracle, Sybase and Teradata. The Open API also allows developers to embed Qlik Sense into new applications and automate data capturing.
Martin M. Especialidad: Servicios financieros
Qlik Sense is a self-service analytical tool based on the same in-memory technology as QlikView. It's associative engine allows for snappy selections, filtering and prompt re-calculation of all charts and aggregations on the fly as the user navigates throughout the dashboard, even on datasets of over 100 million rows.
Qlik Sense focuses more on the self-service aspects of BI, where users are encouraged to build their own Adhoc visualisations without the use of keyboards simply by drag & dropping various elements, making the technology utmost business friendly. Also, as the whole technology is fully web-based, it embeds the latest visualisation libraries (D3, Raphael etc.) and allows for a seamless integration of customised extended JS charts (so-called extensions). The latter enables for unlimited possibilities when it comes to visualisations (http://d3js.org/) and further integration with web-services (R servers, real-time analytics, Hadoop etc.). Also, the Qlik Sense Server deployment is tailored to facilitate a multi-node deployment, allowing for a very scalable enterprise solution, even cloud-based.
The data security technology (Section Access) is the same one as in QlikView and is customisable, secure and robust.
All in all, when it comes to deploying a scalable and business-friendly BI solution, which has very presentable dashboards, a fast and robust aggregation engine with extended self-service capabilities, Qlik Sense is currently the best product of its kind on the market.
Qlik Sense is still a new product and not very mature yet, as it has only been released a year and a half ago. The review is based on Qlik Sens version 2.1 which is important to emphasise, because QlikTech is constantly updating the software and publishing releases with enhancements and bugfixes.
Qlik Sense is not the right tool, if you requirement is:
1. To have a guided analytics dashboard, where the user is constraint in the way he views his data.
-> This can be overcome by creating mashup websites, however you will need a web developer to do this.
2. Standardised reporting via Qlik Sense and production of pdf files is not possible (yet).
-> An integration with nPrinting, QlikTech's latest acquisition, could change this and it's on Qlik's roadmap for the next year.
3. Your BI solution needs to accommodate flexible data extraction capabilities (e.g. to Excel).
General current disadvantages:
1. The story telling functionality is not mature yet - users have more benefit using PowerPoint directly. In my opinion it's missing a live connection of the snapshots used in the story to the underlying chart objects.
2. Security settings (NOT on data level) are governed centrally via the management console and are complicated to comprehend.
3. No guided analytics aspects, even navigation between sheets can't be controlled.
4. No supported data extraction capabilities. It's almost impossible to get comprehensive extract of it's underlying data, something that was possible with QlikView (Export functionality e.g.)
5. The vendor has little practical knowledge on how Qlik Sense is deployed enterprise wide within a business and is not really able to support.
6. The vendor is focusing more on the data story telling and collaboration aspects of the Qlik technologies and almost imposes those on the business. Personally, I would prefer if QlikTech listened to its customers a little bit more.
If you need to do aggregations on the fly (Rankings, Ratios e.g.) in your dashboards on a large amount of data, Qlik is your only option. The technology used in Qlik Sense is very advanced (better than Tableau in my opinion) but not mature yet.
Do not use Qlik Sense if your prime requirement is to create standardised reports and to have a platform where users can extract data to use in Excel.
Qlik Sense is enterprise ready and very compatible with cloud deployments. Installation is extremely easy. Architecture of security settings requires a bit of a learning curve.
Diego A. Especialidad: Servicios de información Número de empleados: Trabajador autónomo
An easy and intuitive way to create storyboards for everyone to understand, parting from relative large and difficult to understand and analyze data. The main benefit was a simple way to create quick charts which served as main discussion point with co-workers to make better decisions. So basically a great way to display business information.
First its usability and design. Regarding the User Interface: the application is well designed and I felt like every button and function was where I would expect it to be. The program is responsive and fluid, you always know where you are and what you should do. Having said that, there is some learning curve to the many features, which are a good thing. The program is easy enough to create a histogram with a simple spreadsheet while also allowing for much more complicated statistics and good looking charts, e.g. plotting geo-data, heat-maps, box-plots and so on.
I specially like the ability to write your own aggregation functions and even more the dashboard where you can put different charts and statstics and build an interactive and dynamic kind of storyboard. The interaction works seamless. If you select (in a bar chart) a specific bar or group of bars, the other charts will automatically adjust to show just the relevant/selected data. The program does not hesitate and performs really well, even with large quantities of data. Support is also pretty solid and there is a lot of information and questions already answered on the online forums. It supports many of the standard data sources.
The aforementioned ability to write your own functions has a somewhat steep learning curve. You do have to search online for the primary functions you need (though these are well documented). Unfortunately if your data has to much variables or data points, the charts prioritize the specific variable instead of the whole diagram. What I mean by that is that you can end up with a very large horizontal chart in which you have to scroll horizontally to find the other data instead of 'cramming' all variables into the visible space. This depends on taste, but I did not find any way to change that, which brings me to the next point. The charts are somewhat 'customizable' regarding color and design. However, I've used comparable software which allows for much more flexibility in the structure and formatting of charts. A few times it can get frustrating to use the program, mainly for two reasons. 1. The aforementioned displaying of information in a non-customizable way and 2. the lack of knowledge of how the program really works that hinders you from doing exactly what you want. But of these aspects become less of a problem, the more you use the program.