Depending on who you listen to, the economy has or has not bottomed out, nationwide unemployment will or will not reach double digits, consumer demand has or has not stopped declining, and commodity prices will or will not stabilize in the next quarter.
To say the least, economic forecasting is an imprecise tool, but it is essential for small- and medium-sized enterprises to anticipate market trends, adapt to the changing economy and make proactive decisions to position themselves for what lies ahead.
Using predictors such as the consumer confidence index, the stock market, interest rates, unemployment statistics and various other measures, businesspeople try to gauge everything, including sales trends, product demand, future inventory levels, website traffic, and exposure to fraud and risk.
The data can be scrutinized using estimation functions such as time-series analysis, causal models and regression analysis. Data mining is a popular method of business forecasting that uses predictive models based on existing and historical data to project potential outcomes of business activities and transactions.
One of the newer forecasting techniques is called “scenario forecasting”. With this method, companies identify changes that could happen in the world economic and political situations and determine the possible effects those changes would have on their businesses. They then decide in advance how to react if those scenarios come to pass. The idea is that the exercise will make them better prepared to take action if the scenario occurs. Forewarned, as they say, is forearmed.
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