Forecast Accuracy

Forecast accuracy is a performance metric that quantifies the difference between forecasted figures and actual results. It is a critical component of the FP&A function, as it helps teams evaluate and improve the reliability of their planning models and assumptions. High forecast accuracy indicates that a business has a strong grasp of its key drivers and market dynamics, leading to more confident decision-making.

Calculating this metric is a key part of the planning cycle, allowing organizations to refine future predictions. By regularly comparing forecasts to actuals, businesses can identify biases or systemic errors in their methods. This process is closely related to variance analysis, which seeks to understand the root causes of deviations, whereas forecast accuracy simply measures the magnitude of those deviations.