What is one limitation associated with exception reports?

One notable limitation of exception reports is that they may not catch all anomalies within the data. Exception reports are designed to highlight discrepancies or deviations from expected norms, but they rely on predefined thresholds and rules. Any anomalies that fall outside the set parameters may go unnoticed, meaning some issues can remain unaddressed. This limitation underscores the importance of complementing exception reports with other methods of data analysis or review to ensure a more comprehensive monitoring approach.

The context of the other options emphasizes that exception reports, while useful, do have varying limitations that may not be as critical. For instance, many users find that they don’t require extensive training to interpret exception reports effectively. Additionally, there is typically no restriction on their frequency of use; they can be generated as needed rather than being confined to an annual schedule. While the generation of these reports can be time-consuming, advancements in reporting tools have streamlined many aspects of their creation. Hence, the core issue with exception reports lies specifically in their ability to capture anomalies fully.