How can I improve the accuracy of my forecasts?
Improving forecasting accuracy can involve several strategies, such as using more data, refining your models, and incorporating expert judgment.
What types of data should I consider for better forecasts?
Consider historical data, market trends, seasonality, and any relevant external factors that could influence your forecasts.
Are there specific models that work better for certain types of data?
Yes, different models like ARIMA, exponential smoothing, or machine learning algorithms can be more effective depending on the data characteristics.
How do I evaluate the accuracy of my forecasting model?
You can evaluate accuracy using metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), or tracking forecast errors over time.
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