Challenges
- Lack of consolidated supply sources and data on senior housing occupancy
- Data quality and completeness issues
- Data sufficiency issues with multiple attributes within available datasets
Our client, a healthcare Real Estate Investment Trust, wanted to understand future senior housing supply/demand dynamics to plan investment strategies. The client wanted us to build submarket (micro-market) regions for senior housing portfolio and a comprehensive Supply inventory database. They wanted to implement a rule-based engine to estimate future demand and develop an automated supply demand estimation framework to continuously estimate supply and demand metrics.
Developed proprietary senior housing submarkets capturing >80% market demand
Predicted demand & Identified areas with low supply for potential investment opportunities
Automated data acquisition process enabling less manual effort and faster strategic decisions
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