Which one of the following is NOT a benefit of using dashboards in data analytics?

Using dashboards in data analytics serves several important functions, but storing large amounts of historical data isn't one of their primary benefits. Dashboards are designed for real-time data visualization and quick access to information that allows users to monitor performance, track key metrics, and facilitate decision-making. They synthesize complex datasets into user-friendly visual representations, enabling quick insights into performance without the clutter of excessive historical data. In contrast, historical data storage typically involves databases or data warehouses designed for archiving and retrieval rather than immediate visualization. By focusing on current metrics and insights, dashboards help users make informed decisions quickly and effectively, rather than acting as a repository for all historical data.