Data Solutions
A Quick Guide to Real Estate AVMs
Not All Automated Valuation Models (AVMs) Are the Same At the heart of every home sale or mortgage deal is the need for an accurate estimate of the property’s value. And the real estate and mortgage industries have increasingly relied on automated valuation models or AVMs to estimate property values. The best AVMs will estimate a home’s value... Read More »
Property Data API for Mortgage Lenders: Better Data for Underwriting, Appraisal Review, and Loan Risk
Mortgage lenders rely on accurate data to make sound decisions, reduce risk, and move loans through the pipeline efficiently. However, property data is often fragmented, inconsistent, and difficult to operationalize. A property data API solves this by delivering structured, real-time property intelligence directly into lending workflows. With the... Read More »
Fraud Detection in Mortgage and Lending: The Role of Data and Artificial Intelligence
Table of Contents Key Property Data Used for Fraud Analysis Valuation Anomalies Are the Biggest Red Flag Undisclosed Real Estate GeoSpatial Data Show Inconsistencies Beyond Mortgage Fraud Frequently Asked Questions (FAQ) Artificial intelligence (AI) has the speed and power to perform data analysis on layered datasets. Layering data, combined with... Read More »
How ATTOM Is Bridging the Gap Between Property Data and Sophisticated AI Workflows
Contents ATTOM’s Property Data Points ATTOM’s Data Delivery Options ATTOM’s Bulk Data Delivery for AI Optimization Who Needs Snowflake and Databricks? Property Data and Delivery Options Tailored for Your Use Case Frequently Asked Questions (FAQs) The type and volume of property data now available can feel overwhelming. While parsing and... Read More »
How Property Data Usage Changed in 2025 and What It Signals for 2026
In 2025, real estate professionals did not rely on property data to chase growth. They relied on it to understand risk, validate assumptions, and navigate market divergence. Across lending, investment, research, and analytics teams, ATTOM observed clear changes in how property data was used. Demand increased for historical context, distress... Read More »