What are the best methods for long-term forecasting?
Some popular methods include time series analysis, regression models, and scenario planning. Would you like to know more about any specific method?
Can you explain time series analysis?
Time series analysis involves using historical data to predict future values. It identifies trends, seasonal patterns, and cycles.
What data do I need for time series analysis?
You'll need a consistent dataset over time, ideally with regular intervals. Common data types include sales figures, temperature records, or stock prices.
How accurate are these forecasts?
The accuracy can vary based on the method used and the quality of the data. Generally, more data leads to better forecasts.
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