How can historical data improve project estimation?
Project estimation is one of the most challenging and crucial aspects of project management. It involves predicting the time, cost, and resources required to complete a project successfully. However, many project managers struggle with estimation, either because they lack reliable data, use inaccurate methods, or face unrealistic expectations. How can historical data improve project estimation and help project managers deliver better results?