What feature enhances the semantic richness of a model in SAP Analytics Cloud?

Defining hierarchies is a feature that significantly enhances the semantic richness of a model in SAP Analytics Cloud. Hierarchies allow data to be organized in a multi-level structure, which helps users understand relationships and drill down into data. By establishing a hierarchy, users can navigate datasets with greater ease, allowing them to view information at different levels of granularity, such as from overall sales down to individual product sales. This structured approach provides context to the data, enabling users to perform more insightful analyses and gain a deeper understanding of how various data points interrelate.

Hierarchies also facilitate better reporting and visualization by allowing users to filter and analyze data according to specific groupings or categorizations, making the data more actionable and intuitive. This enhances the model's semantic comprehension, as it transforms raw data into meaningful insights.

While adding calculated columns, implementing data actions, and setting data permissions are valuable features in their own right, they do not primarily focus on enriching the semantic meaning of the data structure as effectively as hierarchies do. Calculated columns enhance data by introducing new metrics; data actions allow for dynamic updates or manipulations during analysis; and setting data permissions governs access levels but does not inherently influence the data's semantic relationships.