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For organizations to produce forecasts that are as accurate and meaningful as possible, it's imperative to use a variety of forecasting methods. While traditional time series modeling techniques are often used successfully, these techniques are inappropriate for building forecasting models in many situations. This paper presents a methodology for large-scale automatic integration of external forecasts with forecasts generated by SAS Forecast Studio. Empirical evidence suggests that this approach is robust and effective in integrating external forecasts for both new and existing products and services.

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