Understanding influencers in split versus non-split jobs

You might question whether or not it is necessary to split the analysis by a field, or merely hope that the use of influencers will give the desired effect of identifying the offending entity.

Let's remind ourselves of the difference between the purpose of influencers and the purpose of splitting a job. An entity is identified by an anomaly detection job as an influencer if it has contributed significantly to the existence of the anomaly. This notion of deciding influential entities is completely independent of whether or not the job is split. An entity can be deemed influential on an anomaly only if an anomaly happens in the first place. If there is no anomaly detected, there is no need to figure out whether there is an influencer. However, the job may or may not find that something is anomalous, depending on whether or not the job is split into multiple time series. When splitting the job, you are modeling (creating...