When configuring Insights in Oracle Planning Cloud, you can leverage the results from Auto Predict as a basis for generating insights, allowing for analysis of forecasted data against historicals. The configuration is flexible, enabling you to select a single type of insight (e.g., Anomaly) or multiple types (e.g., Anomaly and Forecast Bias) to be generated for the same defined data slice. This allows for a comprehensive analysis tailored to specific business questions. The configuration focuses on defining the data slice and the nature of the insight, not on creating the dashboard views themselves.

A. Insights are displayed on dashboards, but the configuration of an insight does not involve creating or editing the data views; it defines the data slice and analysis type.

C. You can define insights for up to 500 data intersections (members) per dimension, not 1000.

Oracle Cloud Administering Planning for Oracle Enterprise Performance Management Cloud

Chapter 13: Working with Auto Predict

Section: "Configuring Insights". This section states

"For Insight Type

select one or more types of insights to run" and "You can run insights on historical and predicted data."

Oracle Cloud Administering Planning for Oracle Enterprise Performance Management Cloud

Chapter 13: Working with Auto Predict

Section: "Defining the Data Slice for Insights". This section specifies the limit: "You can select up to 500 members for each dimension."