Understanding Einstein Discovery
Einstein Discovery uses AI algorithms to make observations (or insights) about the datasets loaded into CRM Analytics. To get started, you define a story that begins by asking a simple question—What is it you want to maximize or minimize?—because there can be many ways to achieve this goal. Einstein Discovery is different from Einstein Prediction Builder, which only gives one prediction and does not explain why it has reached its conclusion.
As with Einstein Prediction Builder, you start by choosing a single field that is the sole focus of your goal; this is known as the outcome measure field. This has to be a numeric field, for example, the Amount field on the Opportunity object. The question behind your goal would then be—How do I increase the size of my opportunities? Next, you select influencer fields—basically, field values that can influence in the real world the value of your outcome measure field. For example...