Apply proportional or relative proportional data spreading to a forecast
You can now use data spreading methods to write values to consolidated cells when you create a forecast.
Note: Data spreading in a forecast requires TM1 server 11.8.7 (PA 2.0.9.8) or
later.
Proportional data spreading distributes a specified value among cells proportional to existing cell values.
Relative proportional data spreading distributes values to the leaves (children) of a consolidation proportional to the leaves of a reference cell or cells. This is useful when you want to create a forecast based on a known previous time period.
Both of these spreading methods can be applied to a forecast.
For more information on using data spreading in a forecast, see Forecasting options.