Admin: Created page with "Semiadditive measures, which do not uniformly aggregate across all dimensions, are very common in many business scenarios. Every [[Framework:BI_Center:Create_CoPlanner_Cube|CoPla..."

2012-04-25T12:38:05Z

Created page with "Semiadditive measures, which do not uniformly aggregate across all dimensions, are very common in many business scenarios. Every [[Framework:BI_Center:Create_CoPlanner_Cube|CoPla..."

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Semiadditive measures, which do not uniformly aggregate across all dimensions, are very common in many business scenarios. Every [[Framework:BI_Center:Create_CoPlanner_Cube|CoPlanner Cube]] that is based on snapshots of balances over time exhibits this problem. You can find these snapshots in applications dealing with securities, account balances, budgeting, human resources, insurance policies and claims, and many other business domains.

Add semiadditive behavior to a [[Framework:BI_Center:Create_CoPlanner_Cube|CoPlanner Cube]] to define an aggregation method for individual measures or members of the account type attribute. If the cube contains an account dimension, you can automatically set semiadditive behavior based on the account type.

You can choose one semiadditive function per data source. The properties are explained in this [[Framework:BI_Center:CoPlanner_Cube_-_Properties_Data_sources|table]].

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Framework:Define Semiadditive Behavior - Revision history

Admin: Created page with "Semiadditive measures, which do not uniformly aggregate across all dimensions, are very common in many business scenarios. Every [[Framework:BI_Center:Create_CoPlanner_Cube|CoPla..."