Which analysis technique examines data trends over time to forecast performance?

• A. Variance analysis
• B. Cost-benefit analysis
• C. Iterative forecasting
• D. Impact analysis

Answer: (A)

Variance analysis is a technique that examines the differences between planned performance and actual performance, which can provide insights into trends over time. By analyzing these variances, project managers can forecast future performance based on historical data. This involves comparing expected outcomes to actual results, allowing for adjustments and predictions related to budget, schedule, and resource allocation.

In contrast, other techniques like cost-benefit analysis focus on evaluating the financial implications of decisions, while impact analysis assesses the effects of changes within a project. Iterative forecasting, although it might suggest a continual approach to predictive analytics, is less commonly established as a formal technique in monitoring and controlling projects compared to variance analysis, which is widely utilized to directly assess performance trends and inform decision-making.