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Key Concepts: Forecast demand standard deviation is a measure of the variability of the forecasted demand for a product or service. It is calculated by taking the square root of the average squared deviation from the mean. This measure is used to determine the accuracy of a forecast and to identify potential risks associated with it. How to use it: In SAP MA-SMOPS SmartOps, forecast demand standard deviation can be used to assess the accuracy of a forecast. It can be used to identify potential risks associated with the forecast, such as overstocking or understocking. It can also be used to compare different forecasts and determine which one is more accurate. Tips & Tricks: When calculating forecast demand standard deviation, it is important to consider all relevant factors that could affect the accuracy of the forecast. This includes factors such as seasonality, customer demand patterns, and external market conditions. Additionally, it is important to ensure that all data points are included in the calculation in order to get an accurate measure of variability. Related Information: Forecast demand standard deviation is closely related to other measures of forecast accuracy such as mean absolute error (MAE) and mean absolute percentage error (MAPE). Additionally, it can be used in conjunction with other forecasting techniques such as time series analysis and regression analysis.