Qlik Sense for complex problems
April 05, 2019
Qlik Sense for complex problems
Score 10 out of 10
Vetted Review
Verified User
Software Version
Qlik Sense Enterprise
Overall Satisfaction with Qlik Sense
Qlik Sense enters into our organization to replace Microsoft Analysis Services cubes and Excel+Sharepoint reporting. Business users claimed poor performance of the Excel reports and that they miss insights and data discovery capabilities. We have too high dependencies on the Microsoft services provider who develops an unmaintainable and infinite sets of ETLs packages in Visual Studio. Those issues got us stuck on developing new KPIs, unable to expand through our large sales force. With Qlik Sense, we have been able to face this problem and get a shorter time-to-build analytics solutions for our business users.
- Solve complex information problems. If you have complex measures, set analysis expressions will get you a best performance solution.
- Blend many data sources. Associative engine lets us mix data from many different data sources (SQL Server databases, Excel, Oracle, MongoDB) in an easy way.
- Get instant insights. We don't aggregate, we load data at minimum level. It enables business users to gain insights and search with no limits through the data set.
- Data Governance. There is no built-in tool to achieve data governance processes: data quality, data lineage, profiling... You have to build the new product Data Catalyst.
- Advanced Analytics. There is no built-in solution. You have to do it in an external tool (R, Python) and connect it through a connector not so optimized for high data volumes.
- Reporting. You have to purchase NPrinting to have a reporting designer and distributing tool.
- Pricing. Not flexible and quite expensive.
Better performance for our use case and faster time to develop.