What task helps make sense of data collected during performance measurement?

The task that helps make sense of data collected during performance measurement is to analyze performance measures. This process involves examining and interpreting the data obtained from measuring how well a solution is performing against established performance objectives and metrics. By engaging in analysis, business analysts can identify trends, understand variances, and derive actionable insights from performance data, which is essential for informed decision-making.

Analyzing performance measures enables stakeholders to evaluate the effectiveness of the solution and determine whether it meets business goals and objectives. This step is critical for continuous improvement, as it lays the groundwork for making necessary adjustments or enhancements to the solution based on the findings.

In contrast, measuring solution performance involves the actual collection of performance data, while creating a business case focuses on justifying the investment in a solution. Validating requirements ensures that the solutions meet stakeholder needs but doesn’t directly relate to interpreting performance data. Therefore, the act of analyzing performance measures is crucial for deriving meaning from the data collected during performance measurement.