Don’t miss the first installment in our series zeroing in on painful, costly “worst practices” – and how to weed them out of your organization.

Part 1 will explore worst practices that relate to the mechanics of forecasting – including statistical model selection and fitting, performance evaluation, and forecasting software selection.

Expert Mike Gilliland, CFPIM, SAS' Product Marketing Manager for Forecasting, will cover:

• Improper use of "pick best" methods of model selection and "over-fitting" the model to history.
• Confusing model fit with forecast accuracy.
• Managing expectations for forecasting performance and creating appropriate performance goals.
• Failing to use naive models or "forecast value added" analysis to identify process waste.
• Avoiding common mistakes in software selection.
• Misusing industry benchmarks.

Questions? Contact Buffie Silva at Buffie.Silva@sas.com or (919) 531-0345.