About this paper
There is no such thing as the perfect forecast. But you can achieve better accuracy and forecasting process efficiency by understanding the nature of your demand patterns and where your forecasting process is adding value – or not. This white paper (based on a webinar in the Applying Business Analytics series), examines how Forecast Value Added (FVA) analysis is being used at major corporations to identify and eliminate waste in the forecasting process, reduce costs and achieve the best forecast possible, given the nature of the patterns or behaviors being forecast.
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 80,000 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® .