Successful enrollment management depends on an information base that is comprehensive, targeted, and continuously updated to inform enrollment management policies and monitor their effectiveness. Institutions implementing enrollment management programs need to establish an initial information infrastructure, including a longitudinal student tracking system and a set of performance monitoring indicators (PMI's) covering each stage of student involvement with the institution. Prince George Community College (PGCC) has developed a system using 31 PMI's which are supplemented by a periodic, formal environmental scanning process. The PMI's, environmental scanning insights, and informal feedback from students, faculty, and staff constitute the data for continuous evaluation of the enrollment management program. These data will identify areas in need of further analysis, detailed analyses may suggest policy revisions. The impact of revised policies will be monitored by subsequent PMI compilations, in a continuous improvement cycle. At PGCC, PMI's and scanning data prompted in-depth analyses of policies relating to minority student retention and of policies relating to non-credit continuing education recruitment. These analyses led in turn to major policy changes. Adopted in its entirety, this approach: (1) establishes a comprehensive framework for studying student-college interaction; (2) encourages development of enrollment targets, performance monitoring systems, and longitudinal tracking files; (3) identifies areas of student behavior poorly understood by the college; (4) integrates institutional research into enrollment management policy formation; and (5) promotes continuous improvement through the data-analysis-policy cycle. (KP)