Data-driven decision-making relies on high quality data. In other words, decisions made based on data will only be as good as the data driving them. Using industry research, root cause analysis, and numerous lessons learned, a process for addressing data quality in measurement data and process performance baselines was developed. This presentation will share the data quality metrics and processes that are being used to regularly monitor the quality of project and organizational data, as well as the improvements that are being made to ensure that data quality stays at the forefront of attention.