Greystar Real Estate Partners
Data Coverage Score
How much of your operational data Propexo can centralize today vs. after full connector buildout.
Coverage by Category
Filter by category to see connector status and data coverage for your key systems.
Vendor Assessment
| Vendor | Category | Status | Data Fields | Est. Build | Rollout |
|---|
Connector Rollout Timeline
Estimated schedule to build all 8 missing connectors at 5 connectors per week.
API Access Timeline: Propexo vs. Going Direct
How long it typically takes to get production API access to each vendor — and what Propexo eliminates.
What You Can Build
See what becomes possible when all your data flows into one place.
Daily Portfolio Briefing
Occupancy, renewals, maintenance, and resident satisfaction — all in one morning view.
See it live →Lease Trade-Out Optimizer
Expiring leases alongside lead pipelines, screening approval rates, and recommended pricing — all in real-time.
See it live →Renewal Intelligence
Every pending renewal in one queue with payment history, satisfaction scores, and market-rate comparisons.
See it live →Source Attribution & Lead Quality
Know exactly which lead sources drive signed leases — not just traffic — so you can optimize spend.
See it live →Where Does Your Data Actually Live?
Your 22 vendor systems generate over 1,700 data fields. But only a fraction of that data ever makes it into your PMS. The rest is stranded in vendor portals — invisible to your reporting, your AI tools, and your decision-making.
Your Data Today: Fragmented Silos
Each vendor's data is locked in its own portal. Your PMS sees only a fraction of the total picture.
Data Sync Breakdown by Vendor
How much of each vendor's data currently flows to your PMS vs. what's stranded.
Why Your PMS Is Not a Data Warehouse
Your PMS was designed to manage leases and collect rent — not to be the central nervous system for 25 vendor systems. Even with APIs, most PMS platforms accept fewer than 20% of the data fields your other vendors generate. Inspection photos, AI chat transcripts, IoT sensor data, marketing attribution, utility benchmarks — none of it has a home in Yardi. A purpose-built data warehouse changes this: every field, from every vendor, in one normalized schema. That's the foundation for real intelligence.