What does "data integration" entail in the context of Qlik Sense?

In the context of Qlik Sense, data integration refers to the process of bringing together data from various sources into a unified application. This process is vital because organizations often have data stored in multiple locations, such as databases, spreadsheets, and cloud services. By integrating this data, Qlik Sense allows users to create a comprehensive view that enhances analytics and reporting capabilities.

This integration enables insights that might not be visible when data is siloed in separate systems. Qlik Sense facilitates this by employing associative data models, allowing users to explore relationships between different data points seamlessly. Through data integration, users can leverage multiple datasets to drive better decision-making, identify trends, and gain a holistic understanding of their business environment.

The other choices do not capture the essence of data integration within Qlik Sense; for instance, segregating data into different categories or consolidating a single source doesn't encompass the idea of blending diverse data sources, which is fundamental to data integration in this context. Similarly, removing duplicates pertains more to data cleansing rather than the broader concept of integrating diverse datasets.