Intelligent Cubes act as a set of data for other reports to connect to and use OLAP Services to report, analyze, and display data. Since Intelligent Cubes function simply as a set of data, Intelligent Cubes do not need to contain objects that modify the display of data. The display of data is handled by the reports that access the Intelligent Cube.
For these reasons, the following objects and features cannot be included in Intelligent Cubes in the same ways that they can be included for reports:
Consolidations and custom groups: Consolidations and custom groups cannot be included in Intelligent Cubes or in reports that access Intelligent Cubes. However, you can include derived elements in reports that access Intelligent Cubes. Derived elements combine the analysis features of consolidations and custom groups, while executing against the Intelligent Cube rather than the data warehouse. For information on derived elements, see About derived elements.
OLAP Services features: View filters, derived metrics, and derived elements cannot be included in Intelligent Cubes, but these features are the main analysis tools for reports that access Intelligent Cubes. For an overview of OLAP Services features and how these can be created in reports, see the In-memory Analytics Help.
Transformation shortcut metrics: These metrics can be created on reports using a similar workflow as derived metrics that are created as shortcut metrics. For information about the difference between transformation shortcut metrics and shortcut metrics that are also derived metrics, see Using rank and percent-to-total metric analysis. As an alternative, you can create transformation metrics using the Metric Editor. Metrics that use transformations in this way can be included in Intelligent Cubes. To create transformation metrics using the Metric Editor, see Creating transformation metrics.
Prompts: Prompts cannot be included in Intelligent Cubes. However, reports that access Intelligent Cubes can use prompts that access only data included in the Intelligent Cube. This saves processing time by ensuring that re-execution against the data warehouse is not necessary.