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Campus Analytics Suite

Data Health Check + Campus Early Warning

A dropout prevention tool fully integrated with Campus SIS.

Utilizing data your district has already entered in Campus.

See a live demo.

Identify students at risk & keep data safe

Campus Early Warning uses powerful statistical algorithms to measure how attendance, behavior, academics, home and school stability interact to predict graduation. GRAD Scores help Student Services respond with interventions targeted at students who would benefit the most. Privacy is our highest priority, so the system saves risk correlations that cannot be connected back to individual past students, and it honors each district’s workflow and tool rights when showing current students’ risk.


Advantages of Campus Early Warning

  • Highly predictive - Millions of student outcomes reveal which combinations of
    behaviors and characteristics correlate with graduation or dropout
  • Daily risk predictions
  • Category scores - Attendance, behavior, curriculum, and stability
  • Equity of predictive performance - Same predictive power between protected groups of students
  • Highly localized - Contextual to each child’s educational environment
  • Integrated - Built into the SIS; no imports, exports or synchronization necessary
The early warning tool serves as a powerful game changer for dropout prevention in Kentucky. Compared to other early warning systems, this is by far superior.  We could not be more excited about having this tool to support Kentucky’s future!
Judi Vanderhaar, PhD, Division of Student Success, Ky Department of Education

Data Health Check

Detect costly data entry errors with a Campus Data Health Check. Data entry integrity is especially important with Infinite Campus as data is entered once and used by many across the district to improve student achievement, submit state required reports and parental communications. No matter the size of your district, a Campus Data Health Check can improve data accuracy to save time and money.

See a live demo.