When you perform selections with Qlik Sense, you are doing more than just filtering data, you are revealing associations which helps promote discovery. Watch this brief video to learn more about the different ways you can make selections that make "sense" and how they can prompt that very important next question.
When creating a Qlik Sense app – we must load the data first. We do this by taking data from the source (either single or multiple - no matter what it is) and load that in tabular form into the Qlik indexing engine (QIX) which can automatically associate (or link) the tables on common fields that it discovers. (you do have the option to define your own as well) This data model not only associates and relates information based on common field values, but it also optimizes the way it is stored to provides speed of thought analysis when analyzing data with various searches and selections. Once the data is loaded into this single or multi.-table model, it is available for the user and developer to begin creating visualizations.
An additional unique capability of this data model, is that due to its associative nature, almost any question can be asked. We are not limited to questions that the developer has foreseen and prepared. As long as the model is logical and coherent, any filter can be set and any aggregation can be made.
Further, we are able to provide visual feedback through our UI using the colors – green, white and shades of grey. With a single selection, (starting from anywhere) it shows us what data is selected, what data is related, what data is possible and what data is NOT related. While still keeping a visual perspective of the ENTIRE data set, without removing any data from view. This helps users understand also complex data relationships.
Video, sample applications and data are attached to this document.