Purpose
We empower leaders and stakeholders across the OU system by transforming institutional data into trusted, actionable insights that support informed decision‑making.
What we do
- Student success analytics — retention, demand forecasting, bottleneck identification
- Predictive modeling & AI — recommendation systems, risk identification
- Strategic planning support — program evaluation, scenario planning
- Operational optimization — space, scheduling, budgeting, procurement
How we work with you
Sample Engagements
Descriptive Statistics
Comprehensive profiles of defined student populations (e.g., first-generation students, departmental majors).
- Metrics: Retention, graduation rates, GPA, credit hours, course performance.
- Analysis: Student pathways across majors, course enrollment trends.
- Impact: Enables departments to understand and support their student populations.
Peer Matching
Compares outcomes for a target student group against statistically matched peers to measure program effectiveness.
- Method: Matches students on GPA, credit hours, and other criteria; simulates thousands of randomized matchings.
- Output: Distribution of peer outcomes benchmarked against the target population.
- Impact: Answers whether a program truly moves the needle on retention and graduation or whatever the focus outcome is.
Bar Exam Risk Identification
Predictive model that flags law students at risk of not passing the bar exam, enabling early intervention.
- Method: Predictive modeling applied to 2L and 3L student data.
- Output: Risk-scored student list provided to the Director of Bar Support.
- Impact: Targeted interventions to diagnose weaknesses and improve exam readiness.
Benchmarking & Comparison
AAU Peer and Aspirational Benchmarking - Data-driven comparisons with AAU peers and aspirational institutions to separate perception from measurable performance.
- Method: Metric-based comparisons across peer and aspirational institutions.
- Output: Identifies specific areas of institutional strength and opportunity.
- Impact: Grounds strategic conversations and investment decisions in actual performance data.
Space & Operations Analytics
OU-Tulsa Campus Occupancy - Transformed 30M+ network login records into reliable space utilization metrics across the OU-Tulsa campus.
- Method: Network data analysis over 8 months across 400+ offices.
- Output: Daily occupancy trends and floor-plan heat maps highlighting underused spaces
- Impact: Data-driven space decisions; recognized by leadership as a game changer.
AI Assisted Review
AI Grant Portfolio Screening - Local AI model screens grant portfolios for awards that may be at risk under shifting federal priorities.
- Method: AI-driven triage replaces impractical manual review across the full portfolio.
- Output: Prioritized list of grants requiring clarification, mitigation, or action.
- Impact: Surfaces exposure early, enabling proactive leadership response.
Research Collaboration Network
Mapped research collaboration within the Department of Oncology using network graph analysis.
- Method: Faculty as nodes, collaborative relationships as edges.
- Output: Visual map of research connectivity and collaboration patterns.
- Impact: Clear view of departmental research relationships for strategic planning.
