Context and objectives
Our client, a major education player operating schools and universities in several cities and countries, exclusively in rented spaces, wanted to forecast its real estate needs better and optimise the allocation of space across its schools and programmes, to improve occupancy and reduce costs.
Our approach
Step 1: audit
- Collection and clarification of business needs (level of detail of the projections, business constraints, levers available, how results will be used, etc.)
- Co-design of the target solution with the stakeholders concerned
Step 2: build
- Build of a first optimisation and forecasting engine, and assessment of its performance against the legacy approach (manual, aggregated projections)
- A web app that lets business stakeholders simulate nominal real estate needs as well as alternative scenarios, playing on many levers (student numbers, programme structure and calendars, space allocation, etc.)
Step 3: pilot
- Training of business users on the tool and the new processes, then support in producing and analysing the first full forecasts and optimised allocations
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