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| COMPANY NEWS |
10/04/2010
International information technology firm SAS recently launched forecasting solution enables “what if” analyses and scenario modeling, allowing users to predict accurate demand forecasts. “SAS Demand-Driven Forecasting (DDF) automatically tracks variations between forecasted and actual numbers to guide sales and chain operations planning processes,” said Charles Chase, business enablement manager for SAS Manufacturing and Supply Chain Global Practice. “The application combines powerful analytics and business intelligence.” According to AMR Research, the recession has left little or no margin for guesswork and as a result, companies are seeking to improve their business forecasting capabilities today as well as re-evaluating existing demand-driven-planning and forecasting implementations. “DDF is more accurate than traditional ERP/SCM systems (enterprise resource planning/ supply management),” said Chase. “And with DDF, SAS uses a common platform that allows companies greater flexibility and quick implementation, and ensures that forecasting is based on the same data across all departments.” DDF is a three-step process. First, companies gather “demand signals” from the synchronization of their internal data (e.g. marketing activities) and external data (e.g. weather, economic conditions, etc.). Then, advanced analytics shape demand, and finally, predict demand and create an “unconstrained” demand forecast. This structured approach puts more emphasis on upstream activities that directly affect customer demand such as production, which creates a more practical view of demand.
| COMPANY NEWS |
| COMPANY NEWS |