The importance of student success (commonly measured as degree completion) continues to rise, as does the demand for institutional accountability. Academic analytics can help institutions address student success and accountability while better fulfilling their academic missions. Academic systems generate a wide array of data that can predict retention and graduation. Academic analytics marries that data with statistical techniques and predictive modeling to help faculty and advisors determine which students may face academic difficulty, allowing interventions to help them succeed. This paper highlights what IT and institutional leaders need to understand about academic analytics, including changes it may require in data standards, systems, processes, policies, and institutional culture.