Preprocessing Analytics is used for cleaning and preparing data for further processing. It includes transformation of available data into formats suitable for further processing in the forecasting and analysis system, identification and handling of outliers and faulty values, stationarity analysis of the data, and constructing new input features to be used for forecasting. Using the Preprocessing Analytics component the following functions can be performed:

• Conversion and transformation of data
• Outlier handling
• Smoothing
• Stationarity analysis
• Input Feature Construction