How does Qlik Sense facilitate associations between different data sets?

Qlik Sense facilitates associations between different data sets primarily through its associative model for dynamic exploration. This unique approach allows users to seamlessly navigate between different data sets without the constraints of a predefined query structure. The associative model automatically recognizes relationships between data points and enables users to explore data dynamically, meaning connections can be instantly visualized and navigated based on user interactions.

This flexibility is a key feature of Qlik Sense, as it empowers users to discover insights that might be missed if data was strictly linked through static relationships or required manual input to define how data sets relate to each other. The associative model allows the application to build associations on-the-fly, which is essential for interactive data analysis.

Other options do not capture the essence of Qlik Sense's functionality as effectively. For instance, creating static links between data sources limits interactivity and exploration, while requiring user input for relationships places an unnecessary burden on users during the analysis process. Using manual joins in the data load script also introduces rigidity to the data integration process and can complicate user explorations.