Multi-Source Data Integration
Integrating property data from 500+ MLS systems, public records, tax assessors, and third-party providers with different schemas and update frequencies.
Data Analytics
AWS Data Analytics for Real Estate & PropTech
We build analytics platforms for real estate companies that turn property data into competitive advantages — market analysis, automated valuations, and portfolio performance tracking.
- A source system is connected.
- Ingest lands in the lake or the stream, not a spreadsheet hop.
- Transform cleans and models before anyone charts it.
- Publish is a dashboard or an API, with the same grain.
- A named owner holds the quality gate.
- What lands is decision-ready, not another raw extract.
Key Challenges We Solve
Automated Valuations
Building and maintaining AVM (Automated Valuation Model) accuracy across diverse markets, property types, and market conditions.
Market Trend Analysis
Analyzing market trends at the neighborhood, ZIP code, and MSA level with real-time data for pricing decisions.
Data Freshness
Property data changes rapidly — new listings, price changes, and status updates must be reflected in analytics within minutes.
Our Approach
Property Data Lake
S3 + Glue + Lake Formation data lake that normalizes property data from all sources into a unified schema for cross-market analytics.
Automated Valuation Models
SageMaker-trained AVM models using comparable sales, property features, market indicators, and location data with continuous retraining.
Real-Time Market Dashboards
QuickSight dashboards for agents, brokers, and investors showing market trends, inventory levels, and price dynamics by market segment.
Frequently Asked Questions
How accurate are automated valuation models on AWS?
SageMaker AVMs typically achieve median absolute percentage error (MdAPE) of 3-7% in active markets with sufficient comparable sales data. Accuracy varies by market — dense urban areas with many transactions perform best.
Can AWS handle data from hundreds of MLS systems?
Yes. We build Lambda-based MLS connectors for each data source with independent error handling. Glue ETL normalizes data into a unified schema, and the data lake handles terabytes of property data across all markets.
What does a property analytics platform cost?
A property analytics platform processing data from 10-50 MLS systems typically costs $2,000-$8,000/month depending on data volume. S3 storage is $0.023/GB, Athena queries cost $5/TB scanned, and SageMaker inference depends on model complexity.
Ready to Get Started?
Talk to our AWS experts about aws data analytics for real estate & proptech.