ATTOM Launches Transparent Owner to Uncover Property Ownership
A New Data Solution Revealing Real Property Owners Behind Entities
ATTOM, a premier curator specializing in land, property data, and real estate analytics, has unveiled its latest innovation called Transparent Owner. This product is designed to unveil the actual individuals behind residential property ownership in the United States, particularly those obscured by legal structures such as LLCs, trusts, and holding companies.
Using proprietary identity resolution techniques that merge public record data with advanced machine learning and linking logic, Transparent Owner improves the clarity of property ownership details. The dataset employs standardized Owner IDs to resolve discrepancies in public filings, thereby enhancing understanding of who truly controls a property.
"The complexity of property ownership has increased significantly, and traditional public records often do not tell the entire story," stated Todd Teta, Chief Product and Technology Officer at ATTOM. "With Transparent Owner, our clients can navigate this complexity more effectively, whether they are vetting deals, analyzing investment portfolios, or undertaking compliance checks."
Key Features of Transparent Owner
Clear visibility into property ownership comes from several key features:
Owner Name Standardization
This feature addresses the varying ways individuals, LLCs, and trusts are recorded across different jurisdictions, normalizing thousands of name variations.
Entity Matching
Distinct owner identities are resolved across counties and legal entities by leveraging geographic, linguistic, and behavioral signals, providing comprehensive identification.
Unique Owner Identifiers
Each property owner is assigned a consistent identifier, enabling better tracking regardless of how their names appear in varying records.
Mailing Address Linkage
This functionality connects identified owners with verified mailing addresses for effective outreach and verification purposes.
Owner Classification
Owners are categorized based on their type, such as individuals, investors, or companies, facilitating deeper analysis of ownership trends.
Integration and Availability
Transparent Owner is now available for licensing and can be accessed through Snowflake, allowing for seamless integration with ATTOM's other products. This connection enables clients to create a more comprehensive picture of residential ownership and investment activities.
For inquiries or to schedule a demonstration, ATTOM invites interested parties to visit their website for further details.
About ATTOM
ATTOM drives innovation across various industries by providing top-notch property data and analytics, covering an impressive 158 million U.S. properties. Their extensive dataset encompasses diverse topics like property tax, mortgage information, and environmental risks, all validated through a thorough multi-step verification process.
With various flexible delivery solutions, including Property Data APIs and AI-Ready datasets, ATTOM enhances decision-making in sectors such as real estate, mortgage, and government.
Frequently Asked Questions
What is Transparent Owner from ATTOM?
Transparent Owner is a data product that identifies true property owners hidden behind legal entities and provides comprehensive ownership details.
How does Transparent Owner benefit real estate professionals?
It enables professionals to vet deals, analyze portfolios, and build compliance checks more efficiently by revealing true property ownership.
What key features does Transparent Owner include?
The tool includes owner name standardization, entity matching, unique owner identifiers, mailing address linkage, and owner classification.
How can clients access the Transparent Owner dataset?
Clients can access Transparent Owner as a licensed dataset via Snowflake, allowing integration with other ATTOM data products.
What does ATTOM offer in terms of property data and analytics?
ATTOM provides comprehensive real estate data solutions and analytics, covering millions of properties across various aspects such as tax, deed, and environmental risk.
