1. Educational institutions must invest in comprehensive data collection and analytics infrastructure to make data available in near real time to faculty, administrators, and students. This allows for more informed decision making and accountability. 2. Predictive analytics can help students choose courses and programs that suit their interests and abilities, which can reduce dropout rates and prevent weak learning outcomes. 3. Learning impact should be continuously measured, especially for teachers, both during and after their training to assess quality and the cost-benefit of funds spent on teacher development.