After gathering cycle time data, the risk manager should perform a risk data quality assessment to ensure the data is accurate, reliable, and relevant for evaluating the current process and the new software.

 A risk data quality assessment is a technique to evaluate the degree to which the data about risks is useful and accurate for risk management. It involves examining the reliability, credibility, accuracy, and validity of the data collected. A risk data quality assessment can help the risk manager to determine the confidence level of the risk analysis and the quality of the risk responses. Performing a risk data quality assessment is the next logical step after gathering the cycle time data, as it will help to ensure that the data is suitable for further analysis and decision making. References: PMI Risk Management Professional (PMI-RMP) Examination Content Outline and Specifications1, page 9; A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 397.