ETL & Standardization

How RevRE collects,
cleans, and delivers
your property data.

Getting your data into RevRE is straightforward. We collect data from your property management systems, extract raw operational and financial data, transform it into a clean unified schema, and deliver it to your BI tool, data warehouse, or AI platform — automatically, every day.

See how it works
The problem we solve

Multifamily data is fragmented.

Every property management system structures data differently. One system defines a term one way, another uses a different time period – or “grain” – entirely. When you operate across multiple PMSs — or work with multiple management companies — your property data becomes impossible to combine and compare without a massive reconciliation effort. Most companies manually do this work until their team breaks, or undertake long-term unscalable patches.

RevRE's ETL pipeline eliminates that problem entirely. We sit between your source systems and your reporting tools, handling all the extraction, normalization, and delivery so your team never has to touch a spreadsheet to reconcile data again.

✕ Without RevRE ETL

Data locked in disconnected PMS silos

Each system exports in its own format — different field names, different GL structures, different occupancy definitions. Comparison is manual and error-prone.

With RevRE: One unified schema across every property, PMS, and portfolio — automatically.

✕ Without RevRE ETL

Hours of manual data prep before any analysis

Analysts spend days every month cleaning, reconciling, and formatting data before a single chart can be built or a single question can be answered.

With RevRE: Clean, standardized data delivered automatically to your endpoint every day.

✕ Without RevRE ETL

Custom integrations that break and need maintenance

Building your own data pipelines requires developer time, ongoing maintenance, and still doesn't solve the standardization problem.

With RevRE: Managed pipelines — no developers, no maintenance burden, no data engineering required.

How it works

The RevRE ETL process, step by step.

From your property systems to your dashboard in four stages — each one handled entirely by RevRE so your team can focus on decisions, not data engineering.

Step 01
Extract

We connect to your systems and pull raw data securely.

RevRE connects directly to your property management systems via secure API integrations and data feeds. We support common property management systems. Once connected, we extract operational and financial data automatically on a daily cadence — no manual exports, no spreadsheet uploads, no developer involvement required.

Secure API and SFTP connections
Daily automated extraction
Operational + financial data
Multi-PMS portfolios supported
No manual exports needed
Step 02
Transform

Raw data becomes clean, standardized, comparable data.

This is where RevRE's core value is created. Raw PMS data arrives in dozens of incompatible formats — different field names, different GL structures, different unit designations, different occupancy calculations. Our transformation engine maps everything into a single multifamily-specific data model with consistent definitions across every property, every PMS, and every portfolio. Over 1M+ GL categories are normalized so expenses and NOI are genuinely comparable.

1M+ GL categories mapped
Unified occupancy definitions
Consistent rent roll schema
Expense normalization
Unit-level standardization
Cross-portfolio comparability
Step 03
Load

Clean data arrives at your endpoint, ready to use.

Once transformed, your standardized data is ready for whatever system your team uses. That might be the RevRE BI Tool, your own BI platform like Tableau or Power BI, a cloud data warehouse like Snowflake or BigQuery, or for AI-powered agents or workflows.

RevRE BI Tool (native)
REST API delivery (coming soon)
MCP Server (coming soon for AI agents)
Webhooks + cloud ETL (coming soon)
Step 04
Use

Your team gets answers, not data prep work.

With clean, standardized data flowing automatically to your systems, your team can actually use it. Asset managers get live portfolio dashboards. Analysts run cross-property benchmarks without manual reconciliation. Underwriters pull accurate market comps. AI tools get structured, labeled data they can reason over. The whole organization benefits from a single source of truth.

Live portfolio dashboards
Cross-property benchmarking
AI-ready structured data
Automated reporting
Underwriting support
Investor-ready outputs
What gets standardized

Every data type your portfolio generates.

RevRE's unified data model covers the full range of operational and financial data produced by multifamily properties — all normalized to consistent definitions across every PMS and portfolio.

Property & Unit Data

Property attributes, unit details, floor plans, amenities, and square footage — standardized so every unit in every portfolio uses the same definitions.

Unit types Floor plans Amenities Square footage Building attributes
Operational Data

Occupancy, leasing velocity, rent rolls, renewals, delinquency, and marketing performance — with consistent definitions and calculations across every PMS.

Occupancy Rent roll Leasing Renewals Delinquency Marketing
Financial Data

Revenue, expenses, NOI, pro formas, and budgets normalized through our Financial Mapper — 1M+ GL categories mapped to a single consistent structure for true cross-portfolio comparison.

Revenue Expenses NOI GL mapping Budgets Pro formas
Resident Data

Lease terms, resident demographics, move-in/out activity, and tenant history — structured for analysis while maintaining appropriate privacy standards.

Leases Move-ins / outs Lease terms Resident history Turnover
Market Data

Market benchmarks for rents, occupancy, expenses, and staffing — continuously refreshed from live operational sources across 20+ U.S. markets.

Market composites Occupancy comps Expense benchmarks Staffing ratios 20+ markets
Staffing & Maintenance

Staffing levels, work orders, maintenance costs, and service performance data — normalized so operators can benchmark against market standards.

Staffing ratios Work orders Maintenance costs Service times Vendor data
Getting connected

From kickoff to live data in days, not months.

1
Day 1
Kickoff Call

We schedule a brief kickoff call to confirm your PMS sources and delivery preferences. If we don’t already have your management company’s PMS installed already, we schedule a call or send installation instructions at your option to you and/or your system administrator to review the process. No developer is required on your side.

2
Days 2–5
Installation Completed

Upon completion of the steps – which take on average 1 hour or less if completed diligently – RevRE will begin receiving data the following morning from your PMS systems. A one time initial run of our machine learning (ML) model is run through the provided account tree by our automated Financial Mapper. This normalizes your GL structure across all of the different financial structures that are being sent into the RevRE system, and will flag any new GL categories added during subsequent months to maintain balance in your combined financials.

3
Days 5–10
Validation & QA

We maintain a list of all insights within the RevRE system that shows for each property the definition, date started, and data populated, for your review. Your team then reviews these key metrics to confirm accuracy before going live.

4
Day 10+
Go Live & Schedule Onboarding

Clean, standardized data is now flowing to your account daily. Your BI dashboards, data warehouse, or AI platform may receive fresh data automatically every morning by setting up the export method of choice. At this time we schedule our first onboarding call with you and your team to start reviewing setup and training with the primary stakeholders you have identified on your team.

Who uses this

Built for every team that needs property data to keep informed.

Multi-PMS operators

Companies using two or more PMSs who need a single unified view of operational and financial performance across the portfolio. Looking to acquire another management company? Ownership group requiring you to use their PMS? We’ve got you covered.

BI & analytics teams

Analytics teams who need both structured, pre-normalized data without manual prep, as well as structured, normalized, standardized data.

PropTech companies

PropTech platforms that need access to a client's normalized property data to power their client onboarding, populate embedded dashboards, generate data driven insights, feed AI tools and models, or power LLM-based analytics products.

Ownership groups & investors

Investment groups working with multiple management companies that need aggregated historic and current data consolidated in a data warehouse for underwriting and portfolio strategy.

Get started with ETL & Standardization

Ready to stop wrangling data and start using it?

RevRE connects to your PMSs, standardizes everything to a unified schema, and delivers clean data to your systems — automatically, every day. Most customers are live within 10 days or less.

See all products
1k+Data insights available
1M+GL categories standardized
10Days to go live