Education

Data-informed decisions for student success

Educational institutions collect vast amounts of data across enrollment, academic performance, financial aid, and student engagement. We help K-12 districts, colleges, and universities turn this data into actionable insights that improve retention, close equity gaps, and optimize institutional effectiveness

Industry Challenges

40%
of college students do not graduate within 6 years
Most
institutions lack integrated reporting across student information systems
$16.5B
annual cost of student attrition to U.S. colleges
Weeks
often required to fulfill routine student data requests without unified systems

How uBIT helps

We help educational institutions harness student data to improve outcomes and institutional effectiveness

Challenge
Disconnected Student Information
Student data lives across SIS, LMS, financial aid, advising, and housing systems with no unified view, making it impossible to identify at-risk students early
Solution
Integrated Student Data Hub
We build data pipelines that unify records from every student-facing system into a longitudinal student profile that enables early alert systems and holistic advising
Challenge
Enrollment Yield Uncertainty
Admissions teams lack predictive tools to forecast which admitted students will enroll, leading to class size misses and revenue shortfalls
Solution
Enrollment Prediction Models
We build ML models that score admitted students by enrollment probability using demographic, financial aid, engagement, and historical yield data
Challenge
Equity and Outcomes Gaps
Identifying disparities in course completion, graduation rates, and post-graduation outcomes across demographic groups requires analysis that most institutions cannot perform
Solution
Equity Analytics Platform
We create disaggregated outcomes dashboards that surface achievement gaps by race, income, first-generation status, and program, enabling targeted support interventions

Data solutions in action

Early Alert & Retention Systems

Flag students at risk of dropping out based on GPA trends, attendance patterns, LMS engagement, and financial aid status

Program Capacity Optimization

Analyze course demand, section fill rates, and waitlist data to optimize scheduling and faculty allocation

Financial Aid Optimization

Model the impact of different aid packaging strategies on yield, revenue, and access goals

Institutional Research Automation

Automate IPEDS, accreditation, and state reporting with governed data pipelines that reduce manual effort and improve accuracy

Empower student success with data