Optimizing campus operations through data

Universities operate hundreds of classrooms, labs, and study spaces. Scheduling systems, room booking platforms, and course enrollment data often exist independently, making utilization analysis cumbersome.

Delayed or inaccurate information can lead to underused classrooms, double-bookings, or operational inefficiencies.

Mage orchestrates these datasets into trusted workflows, delivering current insights on space usage, scheduling conflicts, and operational efficiency. Administrators can act confidently to optimize campus resources.

What this enables

• Track classroom and lab occupancy in real time

• Identify under- or over-utilized resources

• Support scheduling and capacity planning

• Deliver consistent data to planning dashboards

How a workflow runs

1. Ingest scheduling, enrollment, and booking systems

2. Normalize data across rooms, times, and courses

3. Calculate utilization metrics

4. Deliver dashboards and automated alerts

5. Monitor workflow reliability

Outcomes for teams

✔ more efficient space allocation
✔ reduced scheduling conflicts
✔ faster planning cycles
✔ operational decisions based on reliable data