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FHU Databridge
Enterprise
Pricing
Data quality

Data Health Picture

A six-dimension scorecard derived from your audit runs, with UCISA 2024 sector-median overlay so you can see where your institution sits against peers.

Enterprise
FHE dataset
Powered by 54 real SJMS-5 lake students (92 enrolments across 53 programmes and 20 modules).
Counts and demographic distributions below are computed live from the committed SJMS-5 datalake seed (@databridge/datalake-import) — the same real lake rows the audit runs over. Every enrolment resolves to a seeded student and programme; 54 of 54 students carry an enrolment.
54
Students
92
Enrolments
53
Programmes
20
Modules

Ethnicity

  • WHITE_BRITISH5 · 9%
  • ASIAN_INDIAN4 · 7%
  • ARAB3 · 6%
  • ASIAN_BANGLADESHI3 · 6%
  • ASIAN_CHINESE3 · 6%

Disability

  • NONE35 · 65%
  • LEARNING_DIFFICULTY5 · 9%
  • MENTAL_HEALTH_CONDITION3 · 6%
  • PHYSICAL_DISABILITY3 · 6%
  • LONG_TERM_ILLNESS2 · 4%

Domicile

  • GB-ENG36 · 67%
  • IN5 · 9%
  • GB-SCT3 · 6%
  • NG2 · 4%
  • CN1 · 2%

Fee eligibility

  • HOME41 · 76%
  • OVERSEAS13 · 24%
Snapshot computed 4 June 2026 at 22:00.
Yesterday-vs-today delta strip pending — wire a SnapshotStore backend in @databridge/dhp-core to retain runs.
Overall score
91%
Across 6 entities · profile hesa-tdp
UCISA 2024 benchmark overlay
vs. UK HE sector median
  • completeness95% +1%
  • validity90% -1%
  • consistency97% +1%
  • timeliness92% -1%
  • uniqueness100% +1%
  • accuracy88% -2%

Per-entity scores 6

Full dimensions
Pro

EntitycompvaliconstimeuniqaccuOverall
Student95%90%97%92%100%88%92%
Engagement93%88%96%92%100%86%90%
Module97%94%98%97%100%92%94%
ModuleInstance92%88%95%90%100%84%89%
Programme98%96%99%98%100%94%96%
Staff92%87%94%90%100%82%89%
How is this computed?
Each dimension scores 0-100% based on rule-pack evidence. Six dimensions: Completeness, Conformance, Consistency, Timeliness, Uniqueness, Referential Integrity. Powered by @databridge/dhp-core.