Einstein Discovery uses waterfall charts to help you visualize what type of insights?

Einstein Discovery uses waterfall charts primarily to visualize "why it happened" insights. This type of chart effectively illustrates the contribution of various factors to a specific outcome, allowing users to see how different variables interact and affect a result over time. The visual representation enables stakeholders to dissect complex relationships and derive causative insights from data patterns.

Waterfall charts excel in displaying the incremental changes leading to an overall outcome, clarifying how specific factors drive performance variations. This makes it particularly useful for understanding the underlying reasons behind trends or anomalies in data, thus providing actionable insights for decision-making.

The other types of insights, such as "what has happened," "when it happened," or "where it happened," do not particularly leverage the strengths of waterfall charts as effectively as the causal insights they provide. Each of those options pertains to different aspects of data visualization where other chart types may be more suitable, focusing more on summaries of historical performance, timelines, or geographical distributions instead of causal relationships.