Property Management Data Platform
Created a unified data platform for a commercial real estate firm managing $5B in assets, enabling data-driven investment decisions.
Key Results
The Challenge
A commercial real estate investment firm managing 200+ properties worth $5B in assets was drowning in data silos. Property performance data, market analytics, tenant information, and financial metrics lived in dozens of disconnected systems, making portfolio-level analysis nearly impossible.
Key Pain Points
- 45+ data sources with no unified view of portfolio performance
- Monthly reporting taking 2 weeks to compile manually
- Investment decisions based on outdated data (30-60 days old)
- No ability to perform scenario modeling across the portfolio
Our Approach
We built a modern data platform that unified all property data sources and enabled real-time portfolio analytics and investment modeling.
Phase 1: Data Integration
- Cataloged and prioritized all 45+ data sources
- Built automated ingestion pipelines for property management systems
- Integrated market data feeds (CoStar, REIS, census data)
- Created standardized data models for properties, leases, and financials
Phase 2: Analytics Layer
- Developed a property performance scoring model
- Built market comparison analytics with peer benchmarking
- Created cash flow projection models with sensitivity analysis
- Implemented automated anomaly detection for occupancy and rent trends
Phase 3: Self-Service Platform
- Deployed a data warehouse with semantic layer for business users
- Built executive dashboards for portfolio-level KPIs
- Created deal analysis tools for acquisitions team
- Implemented data quality monitoring and alerting
Technical Implementation
Architecture Highlights
- Ingestion: Airbyte for connectors, custom APIs for legacy systems
- Storage: Snowflake data warehouse with time-travel capabilities
- Transformation: dbt for data modeling with full lineage
- Analytics: Looker for dashboards, Python notebooks for analysis
- Orchestration: Dagster for pipeline management and monitoring
Data Governance
- Implemented data classification and sensitivity tagging
- Created access controls aligned with role-based permissions
- Built audit logging for compliance and investor reporting
- Established data quality SLAs with automated monitoring
Results
The platform launched in 8 months, immediately transforming how the firm operates:
- 45+ data sources unified into a single source of truth
- 90% reduction in time spent generating monthly reports
- Days to hours for portfolio-wide analysis that previously took weeks
- 99.2% data quality score with automated validation and monitoring
Client Testimonial
"We went from making decisions based on gut feeling and outdated spreadsheets to having real-time visibility across our entire portfolio. It's completely changed how we evaluate investments."
— Chief Investment Officer