7. How? THE FORECAST Step 6 Monitor the forecast Step 5 Prepare the forecast Step 4 Gather and analyze data Step 3 Select a forecasting technique Step 2 Establish a time horizon Step 1 Determine purpose of forecast
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12. PATTERN OF DATA STUDIED The pattern of historical data is an important factor to consider. Though most of the times, the major pattern is that of a trend, there are also cyclic and seasonal patterns in the data. Certain techniques are best suited for capturing the different patterns in the data. Regression methods incorporates all these variations in data whereas trend analysis methods study these factors individually.
13. SO ,WE KNOW WHAT IT’S ALL ABOUT!!! NOW LETS ANALYSE THE METHODS OF DEMAND FORECASTING.
35. = EXPLAINED VARIATION 1 - = UNEXPLAINED VARIATION Explained variation - means the extent to which the independent variable explains the relative change in the dependent variable. Higher the explained variation, lower the error value leading to accurate forecast