Real Estate Business Information Model

This Business Information Model maps the data entities behind a real estate business — property, leasing, ownership, and asset management — grouped into foundational, transactional, and informational categories. It's built around how those entities actually relate to one another across the physical, financial, and leasing sides of the business, and it's delivered as an editable Word document you can adapt to your own portfolio structure.

Why a Single Property Is Actually Three Entities

Real estate looks like a simple asset business until you try to model "property" as one entity — it actually decomposes into a physical hierarchy (property, building, floor, unit) and a financial hierarchy (ownership entity, managing entity, lender) that don't line up neatly with each other. Ownership itself is rarely one party: most commercial assets sit inside a special purpose vehicle or joint venture with layered equity stakes, so "owner" is a chain of entities, not a field. A lease is its own small data model, not a simple contract record — base rent, escalations, percentage rent, CAM reconciliation, renewal options, and tenant improvement allowances all attach to it on their own schedules. And the same physical space is simultaneously a leasing asset generating revenue, a maintenance object tracked through work orders and capital projects, and loan collateral tied to a mortgage — three domains that all need to reference one entity without collapsing it into any single one of them.

Inside the Model

• Foundational entities — Property, Building, Unit/Space, Owner Entity, Tenant
• Transactional entities — Lease, Work Order, Capital Improvement, Debt/Mortgage, Property Transaction
• Informational entities — Valuation/Appraisal, Rent Roll, Occupancy, Portfolio Performance
• Entity relationships connecting the physical, financial, and leasing structures
• Delivered as an editable Word document

How Teams Use It

• Scoping data models for property management, lease administration, or asset management systems
• Aligning asset management, property management, and finance teams on shared entity definitions before a system consolidation
• Structuring master data for properties and ownership entities across a multi-fund or multi-JV portfolio
• Mapping lease and valuation data requirements ahead of an acquisition or portfolio integration

Built For

Data architects and business architects at real estate owners, operators, and investment managers; IT leaders scoping property or lease management platforms; and asset management leaders standardizing portfolio data.