Managing Application Scalability

Allocation processes are capable of expanding the size of the initial data many times over.

Allocation rules take the original data values at the leaf level and split them across all destination cells. It is not unusual to find that, after executing allocation rules, your data has increased to hundreds of times its original size. A waterfall of allocation rules can split these smaller amounts into many smaller values.

Thinking about the data scale early in the design process is required to avoid dealing with millions of microscopic data points at the end of the model calculations. Expanded data can severely complicate integrating results from Oracle Hyperion Profitability and Cost Management with downstream reporting systems or generating data extracts for sending back to the GL.