Events in IPM Insights are used to model and explain significant, identifiable occurrences that cause anomalies, such as spikes or dips, in historical data. These can be one-time (e.g., a product launch) or recurring (e.g., an annual promotion). By associating these historical anomalies with defined events, the predictive engine can better understand the underlying data patterns. This allows for more accurate future-looking predictions, as you can schedule future events and the system will forecast an anticipated impact, enabling proactive planning and resource allocation.

A. Only events marked as "Active" are considered during the prediction process; inactive events are ignored.

C. Events are used to explain and attribute spikes or falls to a specific cause, not to normalize or distribute the data over time.

E. IPM Insights provides the flexibility to exclude specific historical data points (spikes or falls) from the analysis if they are deemed irrelevant outliers.

1. Oracle® Enterprise Performance Management Cloud

Administering Planning

Release 24.05

F85733-11

Chapter 16: Working with IPM Insights.

Section: About Events: "Events are typically one-off or recurring events that historically led to spikes or declines in data... Using events helps you plan ahead for the events and take advantage of opportunities by allowing you to see anticipated spikes and falls in the insight data for specific events." (This directly supports options B and D).

Section: Creating and Managing Events: This section describes setting an event's status to "Active" or "Inactive

" implying that only active events are used in processing. (This refutes option A).

Section: Analyzing Insights: "You can also exclude a data point from the analysis." (This directly refutes option E).