Which of the following best describes the function of semantic modeling?

The function of semantic modeling is focused on preparing data for analysis, which involves creating a structured representation of data that reflects the meaningful relationships between different data sets. This preparation enhances the interpretation of data, allowing analysts and decision-makers to derive insights more effectively.

Semantic modeling defines how various data elements interact and the meaning behind these interactions. This ensures that when data is analyzed, it is not only accurate but also contextually relevant, enabling deeper insights into organizational patterns, trends, and anomalies. By structuring data in this way, it can be easily queried and understood, enhancing the overall analytical capabilities.

In contrast, while aspects such as data security, integration, and the communication of data narratives are important, they are not the primary functions of semantic modeling itself. Instead, semantic modeling serves as a foundational layer that supports these other activities by ensuring the data is organized and meaningful for analysis.