How can your building leaders predict (with 94% accuracy) which students in grades 6-12 will drop out? How can you use data to evaluate the effectiveness of your dropout interventions over time? Campus Analytics uses data science and machine learning algorithms to securely compare your students’ behaviors and characteristics (attendance, behavior / discipline, academics and stability) to millions of students like them, simply and powerfully. Learn how you can deploy this amazing new technology with minimal effort and eye-popping results!