Project Overview
A UK Multi-Academy Trust (MAT) with 18 schools and 9,400 pupils needed a learning analytics platform to aggreg...
Technology Stack
Compliance & Standards
The Challenge
A UK Multi-Academy Trust (MAT) with 18 schools and 9,400 pupils needed a learning analytics platform to aggregate attainment data across all schools, identify pupils at risk of underachievement, and provide trust-level performance insights for the Executive Headteacher and trustees. The platform needed to integrate with 3 MIS systems (SIMS in 12 schools, Arbor in 4 schools, Bromcom in 2 schools). ICO Children's Code (AADC), UK GDPR Article 9 (special educational needs data is special category), and KCSIE safeguarding data protocols were mandatory. Budget: £90,000.
Our Approach
SIMS API via Capita Developer Programme
pupil demographics, attainment grades, attendance.
Arbor REST API
attendance, behaviour incidents, assessment marks.
Bromcom REST API
attainment, attendance, pupil premium flags.
Data normalisation
- all three MIS systems use different grade scales and subject codes — ClickMasters built a normalisation layer mapping all to a common format.
- At-
Risk Pupil Identification
- Rule-based identification model (not ML — trustees wanted transparent, auditable rules that teachers could explain to parents): Pupil flagged as at-risk if ≥2 of: attendance below 90%, attainment below expected standard in 2+ core subjects, 3+ behaviour incidents in rolling 6-week window, FSM (Free School Meals) eligible with attainment gap above trust average.
- Model reviewed annually by curriculum leads.
KCSIE
safeguarding data (referrals, child protection case notes) not included in learning analytics — accessible only via separate, DSL-gated KCSIE module.
ICO AADC
privacy by default, data minimisation (only attainment/attendance/behaviour aggregated — not biometric, health, or special needs detail).
UK GDPR Article 9
SEN data flagged but not detailed — SEN flag used for disaggregation, individual SEN records in MIS only.
Executive Headteacher dashboard
trust-wide attainment vs national benchmarks (DfE published data), pupil premium gap analysis, attendance trends, school comparison (without naming poorly-performing schools on shared screens — configurable privacy setting).
Trustee reporting pack
automated monthly PDF with key metrics for board pack.
The Results
Platform live at 14 weeks, £84,000 — under budget.
ICO AADC: zero adverse findings.
KCSIE compliance: DSL leads across all 18 schools confirmed appropriate safeguarding data separation.
At-risk identification: 423 pupils identified in first term — interventions deployed for 89%.
Pupil premium gap: reduced from 18.3 to 15.7 months (attainment gap measure) across trust in first academic year.
Ofsted inspection at 4 schools post-launch: learning analytics cited as strength in all 4.
“The Ofsted inspection was four weeks after we launched. The inspector asked how we identified at-risk pupils so quickly — the learning analytics dashboard was on screen during the inspection. All four inspections cited it as a strength. The KCSIE data separation was reviewed by our DSL network before launch — they were satisfied." — Executive Headteacher, UK Multi-Academy Trust (name withheld)”
Project Details
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