What is a key disadvantage of using historical data in decision-making processes?

Using historical data in decision-making processes carries the key disadvantage of potentially misleading future projections. Historical data is based on past performance and trends, which may not accurately reflect future conditions due to changes in the market, economic shifts, consumer behavior, or unexpected events. For example, if a company relies solely on past sales data to forecast future sales without considering changing market dynamics or new competitors, it could end up making poor decisions that lead to financial loss.

While historical data can provide valuable insights and trends, it does not account for evolving circumstances that could significantly impact outcomes. Therefore, relying heavily on such data without integrating current information and future projections can lead to misguided strategies.