Reposition a fast-growing company in an industry disrupted by new biotechnologies
Reposition a fast-growing
biotechnology company in
an industry disrupted by
data and emerging
methods
The Actions
- Actual usage/occupancy modeling of more than 4,000 spaces
- Cross-analysis of planned and observed data collected from multiple sources (master schedules, surveys, observations, Wi-Fi connections, access cards, login data)
- Field observations and internal interviews to validate discrepancies between data, actual usage, and user needs
- Identification of gaps between theoretical capacity, actual occupancy, frequency of use, and projected needs
- Drafting of optimization scenarios to assess the developement potential of existing spaces before committing to new real estate investments
The Result
A space optimization model that translates scattered data into concrete real estate decisions, in order to determine where to invest, what to redevelop, and to what extent existing assets can accommodate growth before building new infrastructure.