Presented at OAUG: Chicago 2012
Demantra Forecasting Methods: A Look Inside the Black Box of Statistical Forecasting
Oracle’s Demantra Demand Planning tool is delivered with nine specific statistical methods for forecasting demand. When Oracle’s Advanced Forecasting and Demand Modeling tool is licensed six additional statistical methods are made available.
The purpose of this presentation is to describe the basic statistical approach behind the various models and to discuss some of the underlying logic behind Demantra’s model selection.
Specific model types to be discussed include intermittent demand models, regression models, time series models, and exponential smoothing models.
A detailed real world example of the various models in use at company using Demantra will be presented and discussed.
At the end of this presentation Demantra users who are interested in “Nodal Tuning” specific elements of the forecast tree will understand more fully which forecast methods are the most logical to deploy.
About the Presenters:
Trinamix is an Oracle Partner firm that specializes in providing Oracle Value Chain Planning & ERP Services. Trinamix supports customers in multiple industry segments including high tech, consumer packaged goods, renewable energy, manufacturing, and semiconductors. Trinamix has its headquarters in San Jose, CA.
Amit Sharma is the Managing Partner at Trinamix. Amit has more than fifteen years of experience working with end users to implementing Oracle Value Chain Planning products.