In this lesson, you estimate the number of licenses required over a period of time. You project your estimates graphically using a graphical editor. The value for the point is displayed on the vertical axis. The time period for the point is displayed on the horizontal axis.
In this tutorial, you make these assumptions:
▪ The licenses required for the project will not exceed 10,000 in number.
▪ The project is delivered to the market in 2Q 2014.
▪ The period from project delivery time to the second quarter of the year 2015 will be the time when a good number of licenses are sold.
▪ The period from the second quarter of 2015 to fourth quarter of 2015 will be the time when the licenses that are sold would decline and gradually drop to a minimum number.
To estimate the number of licenses that might be sold throughout the project life cycle
1 Click the dropdown list below the graphical grid area and select the License stream.
2 Click the Estimates tab.
3 Change the value in the Y axis to ten thousand, considering that the licenses that will be sold will not exceed this number.
4 Double-click the highest value in Y axis. The number is highlighted in blue color.
5 Enter the value 10000. The range in the Y axis changes from 0 to 10000.
6 Use the graphical editor and project your assumptions of the number of licenses that might be sold over time.
7 Plot the graph starting from 2014 2Q, as the project is delivered in the second quarter of the year 2014. The curve for the likely estimate is drawn in the grid area.
8 Click above the likely curve and plot the data points for the high estimates. The curve for the high estimate is drawn in the grid area.
9 Click below the likely curve and plot the data points for the low estimates. The curve for the low estimate is drawn in the grid area.
The graph for high, likely, and low estimates for license are plotted in the grid area. The value in the graph is also reflected in the table below the grid area.
Lesson checkpoint
In this lesson, you learned to:
▪ set the maximum range for the licenses that might be sold for the project
▪ capture data points to plot the high, likely and low estimates for the licenses throughout the lifetime of the project.
