Parametric estimating is a method of cost estimation that uses a statistical model to calculate the cost of a project. This type of estimating relies on historical data and mathematical formulas to predict the cost of a project. It is often used in construction, engineering, and software development projects.
Parametric estimating is based on the idea that certain parameters can be used to accurately predict the cost of a project. These parameters include labor costs, materials costs, and other factors such as overhead costs. By using these parameters, an estimator can create an accurate estimate of the total cost of a project.
One of the main advantages of parametric estimating is its accuracy. Because it relies on historical data and mathematical formulas, it can provide more accurate estimates than traditional methods. This makes it ideal for projects where accuracy is essential.
Another advantage of parametric estimating is its speed. Because it relies on existing data and formulas, it can be completed much faster than traditional methods. This makes it ideal for projects with tight deadlines or limited resources.
One disadvantage of parametric estimating is that it requires significant amounts of data to be accurate. If there is not enough data available, then the estimates may not be as accurate as they could be. Additionally, if the data used is outdated or inaccurate, then the estimates may also be inaccurate.
Another disadvantage of parametric estimating is that it does not take into account any changes in scope or requirements during the course of a project. If there are any changes made during the course of a project, then the estimates may no longer be accurate and need to be adjusted accordingly.