Why is it important to compare forecast results with data from legacy systems after migration?

Comparing forecast results with data from legacy systems after migration is crucial for validating the accuracy of forecasts. This process ensures that the information and predictions generated by the new system align with historical data, allowing organizations to assess the reliability of their forecasting methods. Accurate forecasts are essential for effective planning and decision-making in manufacturing, as they influence inventory management, production scheduling, and overall business strategy.

By performing this comparison, organizations can identify any discrepancies or anomalies in the forecast outputs, which may indicate issues with data integration, algorithm performance, or changes in underlying trends that need to be addressed. This validation step is key to building trust in the new system and ensuring that business operations are driven by dependable information.