In the context of Performance Analytics, what indicates a successful Daily Collection job?

A successful Daily Collection job is indicated by the successful collection of scores without errors. In the context of Performance Analytics, it is crucial for the data collection process to be error-free to ensure the accuracy and reliability of the analytic insights derived from that data. If errors occur during the collection, it can lead to incomplete or incorrect data, ultimately affecting the performance indicators that depend on that information.

While other aspects are important as well—for example, running collection jobs within time limitations or ensuring all relevant indicators are updated—these factors do not directly confirm that the job itself was successful. The key focus in assessing the success of a Daily Collection job rests on the capability to collect scores accurately and seamlessly.