Who should view
If you do not currently use SAS® Forecast Server or SAS High-Performance Forecasting but are interested in learning how analytics can help make your forecasts better, then this Webcast is for you.
It will provide you with information about how SAS Demand-Driven Forecasting software can help you shape demand by incorporating customer signals and market trends into your demand forecasts.
By spending just a few minutes of your time on this Webcast, you will gain a valuable perspective on how forecasting capabilities have evolved recently to include more advanced options that you can begin to apply now. You can choose one or both of the following options:
Podcast introduction (audio) – Historical and future trends in forecasting
Hear Charlie Chase lead a brief discussion about the history of forecasting, leading up to the advanced statistically based forecasting systems of today. Previously, organizations focused on identifying and sensing demand signals by using simple forecasting methods and gut judgments. Learn how organizations are currently adopting more sophisticated analytic methods that involve "what-if" scenario analyses and incorporate true domain knowledge. The discussion concludes with a look at the future of forecasting (e.g., patented "new product" forecasting).
Software demonstration (video) – SAS® Demand-Driven Forecasting
The video demonstration expands on themes discussed in the audio introduction by giving you a first-hand look at SAS Demand-Driven Forecasting software. Charlie Chase will guide you step-by-step through the software and show you concrete examples of how to apply new collaborative consensus forecasting methods that use demand-sensing technologies and consider workflow.
The demonstration covers a wide range of topics, including how to:
- Uncover new value in your data with predictive analytics and an easy-to-use interface.
- Perform what-if analyses and evaluate scenarios to plan for future events.
- Use a demand-planning workbench (workflow) to collaborate across departments and with customers for more accurate consensus forecasts.
- Create a weighted consensus forecast by tracking variations between forecasted and actual sales.
- Monitor, track and report key business indicators and forecasting metrics with a supply chain portal and dashboard.
Questions? Contact Joanne Stecker-Butzier at Joanne.Stecker-Butzier@sas.com or (248) 338-1994.