How the Forecast System Generates Data
Call Volume/Agents Forecast Reports
Current Trending:
1. Find the projected number of calls in each intrahour interval of the
forecast date using a weighted quadratic least squares curve fit.
The weighted quadratic least squares curve fit is an algorithm that
fits a curve to the current data. The algorithm uses the fitted curve
as a trend, and projects the number of calls based on this trend. The
algorithm works in the following manner:
If four data points are given (all four points have weights
greater than 0), the algorithm derives a parabolic curve that fits
the four points with the least error. The algorithm then uses this
curve to project the number of calls for the forecast date.
If three data points are given (one point has a weight of 0), the
algorithm derives a straight line that runs through the three
points with the least error. The algorithm uses the slope of this
line to project the number of calls for the forecast date.
If two data points are given, the algorithm returns the weighted
average of the two points as the projected number of calls.
If one data point is given, that value is returned as the projected
number of calls.
2. Divide the Change Factor (CF) by 100.
3. Multiply the factors found in the previous two steps to get the FCC
for each intrahour interval.
FCC
=
projectedcalls
CentreVu CMS R3V5 Forecast 585-215-825
CF
--------- -
100
6-10
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