ATTOM Data Solutions Acquires Onboard Informatics, Adding Best-in-Class Neighborhood Data

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New Data Features Neighborhood Boundaries, Schools, Crime, Amenities, Commuter Times;
Combined with ATTOM Tax, Deed, Mortgage & Foreclosure Records in One-Stop Data Shop

IRVINE, Calif. – Feb. 15, 2018 — ATTOM Data Solutions, curator of the nation’s premier property database, today announced it has acquired Onboard Informatics, the leading provider of neighborhood data and data-enabled turnkey products to the real estate industry.

“Onboard has a long and accomplished track record as an innovator in enhancing and democratizing neighborhood data assets, paralleling our own mission of powering real estate transparency,” said Rob Barber, CEO at ATTOM Data Solutions. “This acquisition will benefit existing customers of both companies — and the entire marketplace — by providing complementary datasets in a one-stop data shop.”

Onboard’s neighborhood data is being integrated into the ATTOM Data Warehouse, which blends property tax, deed, mortgage, foreclosure, environmental risk, natural hazard, and neighborhood data for more than 155 million U.S. residential and commercial properties. A persistent, unique ID assigned to every property record in the ATTOM Data Warehouse — the ATTOM ID — will be used to link the new Onboard neighborhood data with all other datasets, and the combined data will be available through ATTOM’s flexible delivery solutions, including bulk file license, APIs and customized reports.

“This acquisition by ATTOM will enable Onboard’s customers to conveniently access robust tax, deed and mortgage data, that, when combined with Onboard’s neighborhood data, completes the full property data picture needed to improve decision-making, increase lead generation and grow revenue,” said Marc Siden, CEO and Co-founder of Onboard Informatics.

Founded 15 years, ago, Onboard Informatics fuels sales and feeds decision-making for some of the largest U.S. brands, including Century 21, Coldwell Banker and Weichert. Its data products include area data (neighborhood, metro and residential boundaries along with school attendance zones), point of interest data (restaurants, banks, shopping and more), and community data (crime, population, education, weather and commuter times).

“Not only will our customers now be able to access a broader set of property-related data from one vendor, they’ll also have more flexible options for consuming that data through the various ATTOM data delivery solutions including the ability to consume neighborhood data as bulk files,” said Jonathan Bednarsh, president and co-founder of Onboard Informatics.

About ATTOM Data Solutions
ATTOM Data Solutions blends property tax, deed, mortgage, foreclosure, environmental risk, natural hazard, and neighborhood data for more than 155 million U.S. residential and commercial properties multi-sourced from more than 3,000 U.S. counties. A rigorous data management process involving more than 20 steps validates, standardizes and enhances the data collected by ATTOM, assigning each property record with a persistent, unique ID — the ATTOM ID. With more than 29.6 billion rows of transactional-level data and more than 7,200 discrete data attributes, the 9TB ATTOM data warehouse powers real estate transparency for innovators, entrepreneurs, disrupters, developers, marketers, policymakers, and analysts through flexible delivery solutions, including bulk file licenses, APIs and customized reports.

About Onboard Informatics
Onboard Informatics helps clients increase sales by engaging customers with local content.  Since 2001, top real estate, media, financial and technology companies have used the intelligent local information aggregated by Onboard to improve their business, enhance their websites, build better applications, and engage their customers. Businesses from nearly every sector with a need for quality, consolidated, intelligent local information turn to Onboard.

Media Contact:
Christine Stricker
949.748.8428
christine.stricker@attomdata.com

Please contact us if you have questions about the underlying data referenced in this article, or would like to have access to that data in the form of custom reports, API or bulk files.

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