What analysis type provides objective data to assess project risks?

Quantitative analysis is focused on providing objective and numerical data that can be used to assess project risks. This method utilizes statistical and mathematical techniques to evaluate risks and their potential impacts on a project. By employing metrics and numerical data, quantitative analysis enables project managers to gain a clearer understanding of the probability and impact of various risks. This type of analysis can involve calculations, such as expected monetary value, and is often used to inform decision-making processes by allowing for a more precise evaluation of risk exposure.

In contrast, qualitative analysis deals with subjective judgments and opinions about risks rather than numerical data, while affective analysis focuses on emotional responses and perceptions, which are not quantifiable in the same manner. Process analysis examines workflows, tasks, and systems rather than directly assessing risks with objective data. Thus, quantitative analysis stands out as the most effective means of objectively analyzing risks in project management.