What role does predictive analytics fulfill in Qlik Sense?

Predictive analytics in Qlik Sense is centered around the concept of utilizing historical data trends to forecast future outcomes. This means that by examining patterns, trends, and relationships within historical data, predictive analytics can provide insights that help inform decision-making by predicting what might happen in the future based on those observed trends.

This functionality is crucial for business analysts and organizations that aim to anticipate market changes, customer behavior, or operational challenges, enabling them to adjust strategies proactively. The power of predictive analytics lies in its ability to transform historical data into valuable forecasts, giving users the tools needed to make more data-driven decisions.

In contrast, analyzing data without historical context does not tap into the essence of predictive analytics, as it overlooks the essential element of understanding past behaviors to make future predictions. Visualizing current data states and creating static reports focus more on the immediate analysis and presentation of data rather than using that data for forecasting purposes. Therefore, the role of predictive analytics in Qlik Sense explicitly emphasizes leveraging historical data for future insights, which is why the second choice aligns correctly with its purpose.