The document discusses using data analytics to improve teaching and learning. It outlines four dimensions of educational analytics: student learning, advising, recruitment, and retention. For student learning, analytics can help identify at-risk students, evaluate instructor effectiveness, assess learning outcomes over time, and determine which instructional strategies are most effective. Analytics also allow schools to evaluate strategies to improve course design, instruction, and student performance. The document advocates using analytics to provide feedback to help populations self-correct, and outlines current and emerging analytics solutions to further enhance education through reporting, optimization, forecasting, and data visualization.