Hierarchies in data management allow users to:

Hierarchies in data management are designed to enable users to view and analyze data at varying levels of detail. This functionality is essential because it allows users to navigate through data from a broad overview to specific, granular insights. For instance, a user might start by examining high-level performance metrics for an entire organization and then drill down to view data pertaining to individual departments or specific transactions.

This approach not only facilitates comprehensive analysis but also supports decision-making by allowing stakeholders to focus on the most relevant details that pertain to their specific needs or queries. Hierarchies thereby enhance the usability of data, ensuring that users can customize their perspective based on the level of detail required for their analyses.

The other choices do not accurately capture the primary benefit that hierarchies provide in data management. For example, viewing high-level data only or accessing low-level data exclusively would limit the scope of analysis, while filtering data efficiently pertains more to data querying and manipulation rather than the hierarchical structure of data presentation. Thus, the correct answer highlights a fundamental principle of how hierarchies enhance data usability and accessibility.