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A project value is computed for each scenario, and the expected commercial value is obtained by multiplying each situation's value by the scenario odds and adding the results. Depending on the procedures used to estimate the value of the project under each scenario, ECV can be a useful way to address project uncertainties.
In software development, effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input.
Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.
If a main application of the forecast is to predict when certain thresholds will be crossed, one possible way of assessing the forecast is to use the timing-error—the difference in time between when the outcome crosses the threshold and when the forecast does so.
Consider a project that has been planned in detail, including a time-phased spend plan for all elements of work. Figure 1 shows the cumulative budget (cost) for this project as a function of time (the blue line, labeled PV). It also shows the cumulative actual cost of the project (red line, labeled AC) through week 8.
Variance analysis, in budgeting or management accounting in general, is a tool of budgetary control and performance evaluation, assessing any variances between the budgeted, planned, or standard amount, and the actual amount realized. Variance analysis can be carried out for both costs and revenues.
Project accounting is a type of managerial accounting oriented toward the goals of project management and delivery.It involves tracking, reporting, and analyzing financial results and implications, [1] and sometimes the creation of financial reports designed to track the financial progress of projects; the information generated by this analysis is used to aid project management.
Following strong initial uptake, ABC lost ground in the 1990s compared to alternative metrics, such as Kaplan's balanced scorecard and economic value added.An independent 2008 report concluded that manually driven ABC was an inefficient use of resources: it was expensive and difficult to implement for small gains, and a poor value, and that alternative methods should be used. [4]