This presentation discusses the challenges facing higher education institutions with increasingly limited resources. It proposes using learning analytics and principles of triage to help make more informed decisions about allocating resources. Triage involves balancing the needs of students with the available support. Four moral principles are suggested to guide use of student data: respecting student autonomy, beneficence, non-maleficence, and distributive justice. Transparency, stakeholder acceptance, oversight and an ethics of care are also important. While data can help target support, it does not provide a full picture of students and algorithms may not be neutral.