Getting insight of your data using Qlik Sense

Qlik Sense is used across the whole organization with different maturity degrees of adoption. Within my own department, I don't use it only for monitoring, but also for gaining insight related to server performance. By using Grey-Green-White features in Qlik Sense, I was able to get the usage behavior of all programs running in a server. For example, the peak time, the most used apps, the relationship between time. and certain program usage. I was also able to find the root cause of some problems. For example, finding the root cause of a performance problem case is in lack of memory instead of a lack of CPU.

We have operational data scattered in many locations using different technology. The greatest achievement is Qlik has SAP Connector which enables us to utilize SAP Extractor. This way, data extraction from SAP has minimal impact on server performance. The validity of data itself is guaranteed, since it utilizes a standard SAP program.

We don't use these capabilities yet.

For dashboard creation, it depends on the quality of your data and number of your measures and dimensions. For example, if you have lots of measures and lots of dimensions, the Insight offered by Qlik Sense will pick those data randomly. Sometimes it causes the result of automatic dashboard generation, which is useless for you. If you have only one measure and a few dimensions, then yes, it can be pretty useful.