Executive Dashboards
Real-time visibility for school leaders. Monitor attendance trends, fee collection status, and academic performance across every department or campus in a single view.
- Multi-Campus KPI Aggregation
- Role-Based Data Views
- Real-Time Revenue Tracking
- Live Attendance Heatmaps
-- Real-time Analytics View
CREATE VIEW institutional_kpis AS
SELECT
tenant_id,
COUNT(DISTINCT student_id) as enrollment,
SUM(balance_due) as total_receivables,
AVG(attendance_rate) as avg_attendance,
(SELECT prediction FROM dropout_model WHERE ...) as risk_score
FROM academic_engine
GROUP BY tenant_id;
-- Automated Forecasting Engine
CALL refresh_financial_projections();
Module: analytics_core_v2.sql
Predictive Intelligence
Go beyond historical reports. Our ML models forecast student dropout risks, fee default probabilities, and enrollment trends for the next academic year.
- At-Risk Student Early Warning
- Financial Cashflow Forecasting
- Enrollment Projection Models
- Staff Turnover Predictive Tags
-- Real-time Analytics View
CREATE VIEW institutional_kpis AS
SELECT
tenant_id,
COUNT(DISTINCT student_id) as enrollment,
SUM(balance_due) as total_receivables,
AVG(attendance_rate) as avg_attendance,
(SELECT prediction FROM dropout_model WHERE ...) as risk_score
FROM academic_engine
GROUP BY tenant_id;
-- Automated Forecasting Engine
CALL refresh_financial_projections();
Module: analytics_core_v2.sql
Custom Report Builder
No engineering required. Drag and drop any of the 924 database tables to create bespoke institutional reports. Schedule automated delivery via email.
- Drag-and-Drop Query Builder
- Scheduled PDF/Excel Exports
- Custom Calculated Fields
- Version-Controlled Report Library
-- Real-time Analytics View
CREATE VIEW institutional_kpis AS
SELECT
tenant_id,
COUNT(DISTINCT student_id) as enrollment,
SUM(balance_due) as total_receivables,
AVG(attendance_rate) as avg_attendance,
(SELECT prediction FROM dropout_model WHERE ...) as risk_score
FROM academic_engine
GROUP BY tenant_id;
-- Automated Forecasting Engine
CALL refresh_financial_projections();
Module: analytics_core_v2.sql
AI Prediction Confidence
94.2%
Fee Recovery Probability
High
Next Term Enrollment
+12.4%
Staff Retention Rate
Stable