About this paper
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.
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 70,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®.