Environmental Monitoring (EM) programs for pharmaceutical manufacturing are evolving to a risk-based approach. The use of sampling data for the identification and mitigation of risk becomes a critical element in this process. No longer is it enough to utilize data for reactive excursion reporting. The case study provided in this white paper highlights the need for automated EM software systems to analyze large amounts of data and recognize risks before a problem occurs.