Specifies the forecasting algorithm to use. Select MIXED to create models for both ARTXP and ARIMA time series algorithms ...

Specifies the forecasting algorithm to use. Select MIXED to create models for both ARTXP and ARIMA time series algorithms and combine their results during prediction. In Standard, the models are combined using an automatic ratio that favors ARTXP for near-term and ARIMA for long-term prediction. In higher editions, the models are combined and weighted according to the value set for PREDICTION_SMOOTHING. If FORECAST_METHOD is set to ARTXP or ARIMA, the value for PREDICTION_SMOOTHING is ignored.

Specifies the details of the binding to a column that provides unary operators to control how attribute members are aggregated ... Specifies the estimated number of rows in the fact tables. This is the estimated rows per partition, and provides the default ... Specifies the estimated number of rows in the fact tables. This is the estimated rows per partition, and provides the default ... Specifies the existence of an unknown member, and whether that member is visible or hidden. Fact data not associated with ... Specifies the forecasting algorithm to use. Select MIXED to create models for both ARTXP and ARIMA time series algorithms ... Specifies the identifier for any other dimension on which the current dimension depends. If set, this property indicates ... Specifies the identifier for the measure group to which the key performance indicator (KPI) is most strongly associated (for ... Specifies the identifier for the parent of the key performance indicator (KPI), allowing KPIs to be organized in a hierarchical ... Specifies the languages for which you are providing translated strings. Optionally, export an empty translation file with ...