
Real estate feasibility shifts from
Original: Building a Real Estate Feasibility Engine: Lessons From Turning Financial Models Into Software
Short summary
Real estate feasibility analysis has historically relied on spreadsheets, but modern projects generate too much data for this approach. Software engineering offers a fundamentally different model: treating financial models as structured data systems rather than spreadsheet collections enables validation, reduces duplication, and automates change propagation. PropTech organizations increasingly adopt this architectural approach, separating business rules into reusable functions and layering concerns into independent components.
- •Spreadsheets become inadequate as complexity grows; structured data systems provide validation and consistency
- •Software architecture separates business rules into reusable functions rather than embedding logic throughout
- •PropTech trend shows migration from Excel-based workflows toward dedicated feasibility platforms
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