- Identify the measures and grain of the target dataset produced by the forecast process, such as Sales and Sales Orders per Calendar Month, Sales Region, and Product Subcategory.
- Determine the logic of the current forecast or budget process, including data sources, variable inputs, and calculations.
Typically, a forecast process will have a direct relationship to actual or historical data sources, such as a series of monthly reports or a SQL query with results exported to Excel. It's important to thoroughly study and document this process, including Excel formulas and any manual processes, to provide a seamless transition to a new forecasting tool.