Driver-based modeling uses key operational drivers like volume, rates, and brand awareness to predict financial results through mathematical equations. It has advantages like increased accuracy, efficiency, and the ability to quickly provide actionable information to management. Driver-based models are applicable for forecasting, especially for volume-sensitive items, and long-range planning where higher-level details are needed. However, they may not be suitable for detailed budgeting processes that require monthly expense mappings, or for fixed costs and items with loose driver relationships. The level of driver detail should match each planning cycle.