Which criteria can Spotlight use to assess data accuracy?

Spotlight assesses data accuracy by evaluating various factors related to how data is structured and retrieved. The use of query and indicator types is particularly significant because these define how data is gathered and presented. By analyzing different query types, Spotlight can determine if the data is being accurately represented based on the intended indicators. This is crucial for validating that the insights drawn from the data are reliable and actionable.

In this context, while trends and patterns can provide insights into data behavior and potential anomalies, they do not directly measure accuracy. User ratings can reflect subjective opinions on data but do not provide a systematic method for assessing its inherent accuracy. Financial metrics, while important in assessing performance, are not specifically focused on the accuracy of the underlying data itself. Thus, using query and indicator types provides a more precise assessment tool for validating the accuracy of the data being analyzed.