Qlik Sense Reviews

Qlik Sense is a very nice, intelligent product. I connect with transaction data, and it has an excellent user interface.

Qlik Sense helps us increase our organization's customer relationships and brings in more projects.

Set analysis is a powerful scripting functionality which calculates complex queries into simple terms. Also, the ease of building it.

Qlik Sense should have a conversion tool which automatically converts QlikView to Qlik Sense, so customers can easily migrate between the products of Qlik.

• Complex data modeling
• Qlik DataMarket

• Automated a lot of manual reports to save business users' time.
• Provides valuable info with business intelligence analytics.

Reload time is a limit since everyone wants real-time data.

One year for Qlik Sense.

No.

Takes up a lot of memory.

No.

A nine out of 10.

A nine out of 10.

QlikView. Qlik Sense is a newer version, and more user-friendly, with no charge for servers.

No.

Vendor Team using virtual-consulting, which is not very efficient.

I don't know.

Licensing could be cheaper.

Yes, Tableau.

I am very excited about the future generations of Qlik Sense and Qlik Market.

Provides self-service capabilities for inexperienced users using the free desktop version.

Gives significant visibility into vendor quality of service.

Enables the approval of community sheets in QMC.

We have been using this solution for 16 months.

There were no issues with deployment. It was fairly easy and well-documented.

The shared synchronization failed between servers.

There were no scalabilty issues. It is easy to add RIM nodes as needed.

Customer service is decent. There is a lot of passing off to other techs during the escalation process.

I would give technical support a rating of C+.

We did not use other solutions, but we did test several solutions prior to going with Qlik Sense.

The setup was straightforward. We used a Qlik architect for the initial design.

We implemented in-house.

We are working on this. A lot of value is coming through warranty data analysis.

You need to determine the break-even point for enterprise licenses early on.

We evaluated Alteryx and Lumira.

Drill down, drill down, drill down.

Our policy makers can quickly and easily make sense of the mounds of data we have for them.

It would be nice to have a better system for help tickets than a community forum. sometimes you just want some answers from someone who works for the company itself.

It gives a great overview of our assets and commitments and makes cash flow control much easier.

The product has many great features like easy and fast implementation, flexible data loading, and in-memory processing, but the Set Analysis is what I think is the most valuable. It makes the product very powerful.

• Branding is not the product's strongest point. More control over the presentation colors would be great.
• A basic printing function would also be good.
• Easy connection to external tools like R Server would be nice.  

No stability issues encountered.

No, I have good control over the server the product is running on.

I have not used Qlik tech support. I use the reseller.

No, we did not have previous solution (except Excel).

Initial setup was done by a consultant.

I believe pricing is similar to other products in the same category, if you have it on-premise.

Tableau, Power BI, SSAS, Targit, and some open-source projects like BIRT and Jaspersoft.

I lean toward self-service BI tools. Look at the tools with the data you have, where you can store it, and how easily you can get local support and community support.

I am part of the advanced analysis team, and we use the tool for descriptive and predictive analyses.

It has improved the work of our team, thanks to the ability to manage complex models and thanks to the possibility of integration with different needs.

The most useful features are undoubtedly multi-device adaptability, extensions to predictive and geospatial analysis.

I believe that the area in which the product could be improved is the part related to programming and its language, which is certainly complex and still not very guided.

It uses an associative engine + an in-memory environment:

• I don't have to calculate hypercubes.
• Allows data exploration in directions not predefined.
• Can analyze huge quantities of data.

Predictive analysis is still not available and we need a different approach toward data analysis.

We have been using Qlik Sense for a few months, and QlikView for four years.

We only encountered deployment issues with Qlik Sense Server, because it's an enterprise product and needs to be strongly configured.

We had no problems with scaling.

Technical support is poor: We definitely use community support.

I used Pentaho and SpagoBI for a while, but they were unstable, due to Java versions and application server environments (Tomcat, GlassFish, NetBeans and so on).

For Qlik, we started with very simple setups. Then, through strong field experience, we approached more complex scenarios.

We implemented it in-house. We designed a set of implementation rules.

ROI is good because of short time-to-market.

Pricing is according to Qlik license fees and an applied partner discount.

Take practice courses and use community suggestions.

Our sales reps are using it in the field to get updated information on inventory details when reaching out to our warehouse to fulfill stock.

Qlik Sense has helped us in getting all inventory details in real-time ready for our sales reps to order and fulfill our inventory based on demand. The dashboards have been really helpful in getting our data insights.

Custom scripting in Qlik is great, which is useful when customizing the tool in different ways to suit our needs.

• Bookmarking
• Data load screen
• More real-time analysis, like Power BI
• Easier ways to push data into product for viewing second-by-second data.