Why this beats manual & point tools
- One source of truth with unique IDs; no spreadsheet cross-walks.
- Instant cohort cuts (e.g., STEM vs. Arts × Gender) without rebuilding queries.
- Comparable, repeatable scoring—auditable decisions, not ad-hoc notes.
- Live correlation hints to reduce bias and spotlight structural gaps.
- Outputs are BI-ready; no reformatting for dashboards or board decks.
What this report shows (today)
- Cross-tab: Field of Study × Gender against Talent rubric.
- Small-N guardrails (N=4) to avoid over-interpreting noise.
- Quick flags for under-representation or outlier talent groups.
- Drill-ready slices you can reuse in renewal or fairness reviews.
Fields analyzed: Field of Study, Gender, Talent • N=4
What else Intelligent Column can do
- Eligibility & fit scan: map prerequisites to applicant profiles to spot gaps fast.
- Fairness checks: compare award rates & amounts by gender, field, campus, or region.
- Renewal risk: correlate GPA/credits/attendance with rubric signals (e.g., “persistence”).
- Mentor matching: align mentee Talent traits with mentor strengths and availability.
- Essay themes × outcomes: link narrative indicators (grit, leadership) to semester results.
- Support triage: surface students needing tutoring, stipend, or career advising earlier.
- Equity lens: detect language or recommendation bias across demographic slices.
- Time-to-award monitor: reduce bottlenecks by tracking step durations per cohort.
Tip: Pair this with Intelligent Row to summarize each scholar and Intelligent Grid for program-wide fairness reviews.