Which of the following is a risk associated with changing historical demand actual data in Maestro?

Modifying historical demand actual data in Maestro presents significant risks, one of which is that the changes made are not recoverable. This emphasizes the importance of maintaining data integrity and the potential consequences of altering historical records. When actual demand data is changed, it can disrupt the foundational datasets that models rely on for accurate forecasting and analysis.

This lack of recoverability means that once historical data is altered, reverting to the original state may not be feasible, leading to a loss of valuable insights and compromising the reliability of future demand forecasts. Understanding this risk is crucial for users of the system, as any inaccuracies can propagate through the data analysis, leading to poor decision-making and ineffective resource allocation.

In contrast, the other options suggest scenarios that do not accurately reflect the complexities and potential consequences of changing historical data. Options like data recovery always being possible or changes being easily reversible give a misleading impression of the flexibility and safety of data manipulation in such systems. Therefore, it is essential to approach changes to historical data with caution, recognizing that once modified, those changes could lead to irreversible outcomes.