Looking to improve your forecasting knowledge and skills in 2024? Our SAS experts have created a webinar miniseries which would benefit all forecasting users, from beginners to experts. These sessions aim to provide walkthroughs of how to use the latest capabilities in SAS Visual Forecasting and how to incorporate them in your forecasting process to enhance your results.
How to Develop Better Forecasts With SAS® Visual Forecasting
Watch this session to get an overview of SAS Visual Forecasting and get introduced to some of the latest developments, including ensemble modeling and creating custom events. This webinar provides a solid foundation for the upcoming sessions.
Have It Your Way – Forecasting With SAS® and Open Source
Watch this session to learn about the new Distributed Open Source Code (DOSC) node recently made available within SAS Visual Forecasting. Find out how to conveniently write compatible open source programs and how these are distributed to efficiently process multiple time series in parallel.
Tips and Tricks: Improve Forecast Accuracy Using Interactive Modeling in SAS® Visual Forecasting
This sessions showcases how to improve your forecasting results by adjusting model parameters for individual forecasts in the easy-to-use user interface of SAS Visual Forecasting. You’ll also learn how to build a forecasting model from scratch and how to manually select a champion model.
Boosting Retail & CPG Profits: Are Your Promotions Optimized?
Watch this session to learn some of the tools that collect, visualize and interpret data so you can boost sales and profits even while enhancing customer engagement. Find out how to develop end-to-end promotion analytics, generate a recommended SKU list using promotion optimization and how to prevent cannibalization/halo effects.
Enhance Forecasting Accuracy With TS Segmentation and Machine Learning
Watch this session to learn how to optimize accuracy and computational efficiency in your forecasting process, using time-series segmentation and machine learning techniques. You’ll get a strong insight into the time-series segmentation techniques available within SAS Visual Forecasting, how to apply appropriate modeling strategies to different segments and which segments could benefit the most from machine learning techniques.
