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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.