In analytics, what is the primary function of measuring Elusion?

Measuring Elusion primarily focuses on assessing document relevance. In the context of analytics, Elusion refers to the phenomenon where some documents are not captured or identified by a search or review process despite being relevant to the query or set of criteria specified. This measurement is crucial as it helps determine how effectively a system retrieves and presents documents that are pertinent to a user's needs. Understanding Elusion allows organizations to refine their search algorithms and enhance the overall relevancy of the documents retrieved, leading to better user satisfaction and more effective decision-making processes.

While evaluating document variety, enhancing classification accuracy, and managing user access are all important aspects of analytics, they do not specifically address the nuances of relevance that Elusion measures. This distinction is key in understanding the value of assessing Elusion in the framework of data analytics and document management.