The purpose of this paper is to identify and explain the best practice of using "big data" reports to help distance learning administrators better understand their own programs and represent them to stakeholders. The authors examine five reports: (1) the number and percentage of graduates from the main campus who also take classes at the branch campus; (2) an understanding of how enrollment patterns can aid in decisions to cancel or retain classes; (3) an analysis of the number of non-matriculated students who eventually matriculate; (4) a comparison of the number of students who retake classes at the branch and main campuses; and (5) the correlation between courses offered and courses required for the main campus majors and minors. The reports are designed to answer specific questions and to dispel inaccurate assumptions by creating data to use in evaluating programs and their effectiveness.