Slide 1 - As-Is Forecast
| Process Step | Description |
|---|---|
| Data Collection | Gather historical data and relevant external factors for analysis. |
| Data Analysis | Clean, transform, and analyze data to identify key trends and patterns. |
| Model Selection | Choose and configure appropriate forecasting models (e.g., time series, regression). |
| Forecast Generation | Execute selected models to produce initial raw forecast numbers. |
| Validation & Adjustment | Review initial forecasts against historical performance and expert judgment for refinement. |
| Reporting & Distribution | Prepare and disseminate final forecast reports to relevant stakeholders. |
