What does the statistical errors by date function provide information about?

The statistical errors by date function provides insights into how forecast accuracy changes over a period. This function allows users to analyze the variations in forecasting performance across different timeframes, enabling a better understanding of trends or patterns in forecasting error. By examining these changes over time, analysts can identify periods of improvement or decline in accuracy, which can inform both strategic decision-making and future forecasting efforts.

This functionality is crucial for organizations that rely on precise forecasting, as it helps in assessing the effectiveness of past forecasts and adjusting methodologies accordingly to enhance future accuracy. Being able to trace forecast accuracy over a timeline empowers users to make more informed adjustments and predictions in their planning processes.