Final answer:
Three attributes of saved searches are that they are good for point-in-time analysis, can highlight critical data, and provide a dynamic list of results. These attributes make saved searches a handy tool for continuous monitoring and easy access to specific data sets.
Step-by-step explanation:
Three attributes of saved searches include:
- Good for point‐in‐time analysis, as they capture data based on the specific criteria and time frame when the search was saved.
- Can have critical data highlighted, which allows users to quickly identify key information or anomalies within the saved search results.
- Provides a dynamic list of results, meaning that the search results can update continuously as new data meets the search criteria.
Saved searches thus are powerful tools for monitoring and quickly accessing specific sets of data within a database or a platform. They are not typically used to reveal hierarchical groupings or to directly serve as the basis for custom metrics, nor do they include totals and subtotals by default without additional configuration.