A Lean Approach to Forecasting

Part of the Platform Imperative Webcast Series

Join SAS to learn more about:

  • Identifying bias, politics and process waste.
  • Eliminating process waste.
  • Anticipating forecast accuracy expectations.
  • Setting forecasting performance goals.

We can't always control the forecast accuracy we achieve, but we can control the forecasting process we use and the resources we invest. The “lean approach” involves identifying and eliminating waste in the forecasting process to get better results with less effort.

Join Mike Gilliland, Forecasting Product Manager at SAS, to learn how using forecast value added (FVA) analysis can help identify the forecasting process activities that are undermining your forecasts. Specifically, he discusses how to determine what level of accuracy is reasonable to expect for a given demand pattern, how to set forecasting performance goals and current research surrounding the topic of demand “forecastability.”

Gilliland is joined by Brenda Wolfe, Product Manager at SAS, who will demonstrate the stored process for FVA analysis, the stored process for accuracy expectations and performance goal-setting and overall process automation.

If you have any questions, please contact Natasha George at Natasha.George@sas.com or (919) 531-0493.