Running three campuses or ten, you shouldn't have to chase each branch for numbers. Ocoviz gives trustees and directors one principal KPI dashboard — fees, attendance, and academics compared across every campus in real time, and audit-ready all year round.
Each campus reports differently, on its own schedule, in its own format. Consolidating it is a monthly chore, and by the time the group picture is assembled, it's already stale.
Every branch sends numbers in a different shape. Comparing them fairly means hours of manual reconciliation before you can even ask a question.
Portals like Saransh give a periodic board-metrics view, but leaders running a group need continuous, private insight they control.
When inspection looms, compliance evidence gets assembled in a panic instead of being ready and current all year.
Ocoviz standardises data across branches and rolls it up into a governance-level view — without stripping each campus of its own working dashboards.
Each branch runs Ocoviz; their data standardises into one comparable format automatically.
Attendance, fees, and academic KPIs from all campuses appear in a single leadership dashboard.
See which branches lead and which lag, side by side, with term-over-term trends.
Compliance evidence stays current and exportable, so inspections stop being a fire drill.
A single command-center view of fees, attendance, and academic health — readable in under a minute.
Benchmark 3–10 branches side by side, so strong and weak campuses are obvious at a glance.
Continuous analytics on your own data — not a once-a-year public snapshot — with full access control.
Keep compliance calendars and inspection-ready evidence organised year-round, not in a last-minute rush.
Base group strategy on live, comparable evidence instead of anecdotes and delayed spreadsheets.
Trustees see institutional KPIs and compliance status without needing student-level data by default.
Book a 20-minute leadership demo and we'll show the multi-campus KPI dashboard, branch comparisons, and audit-ready reporting on sample group data.
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