While forecasting is a powerful tool, it comes with several challenges:
Data Quality: Inaccurate or incomplete data can lead to erroneous forecasts. Market Volatility: Rapid changes in the market can make it difficult to predict future conditions accurately. Bias: Personal biases or overly optimistic assumptions can skew forecasts. Complexity: Some industries are inherently more complex, making forecasting more challenging.