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DSN_March2023

DSNews delivers stories, ideas, links, companies, people, events, and videos impacting the mortgage default servicing industry.

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32 Industry Updates From mergers and acquisitions to cutting-edge tech tools and solutions, here's the company news the industry is talking about this month. ATTOM FURTHER POWERS ITS INVESTMENT AND MITIGATION STRATEGIES ATTOM has announced that it has inte- grated propensity to default analytics into its U.S. property data warehouse. With this news, the ATTOM Table of Data Elements expands even further with another layer of details to enhance market intelligence, while enabling various industries powerful investment insight and mitigation strategies. is integration combines ATTOM's com- prehensive foreclosure and mortgage data with Powerlytics—a predictive analytics solution pro- vider with a proprietary database of anonymized tax returns covering over 150 million U.S. house- holds, to score properties across the nation on the likelihood of going into foreclosure. "What started as a focus in fueling real es- tate industry customers with premium property data, has exploded into powering various in- dustries across all spectrums," said Rob Barber, CEO at ATTOM. "In today's volatile housing market, being armed with predictive analytics that will allow real estate investors, brokers, mortgage servicers, and more the ability to zero in on properties that have the highest proba- bility of going into foreclosure, is essential for competitive data-driven decision making." By joining the power of the ATTOM Data Warehouse—which houses historical property characteristics data along with deed, mortgage, foreclosure, and more for 155-plus million U.S. properties—with Powerlytics' consumer and business financial data, and then applying machine learning techniques, a propensity of default score for proper- ties across the nation is accurately predicted. "We are excited to leverage Powerlytics proprietary dataset to deliver insights and value across the residential real estate ecosystem," Pow- erlytics CEO Kevin Sheetz said. "Combining our accurate, granular, and comprehensive financial data and predictive modeling expertise with ATTOM's rich property insights proved to be a powerful combination in predicting mortgage default propensity." is proprietary model identifies the prob- ability that a residential property will become a mortgage default (aka pre-foreclosure) within the next 12 months and allows customers to zero in on the properties that have the highest propensity to default. Enabling industry professionals, the ability to find homeowners motivated to sell; curate targeted marketing lists; limit portfolio losses; and develop mitigation strategies. "With the recent lift in foreclosures across the nation, insights into the financial health of homeowners offers a powerful and unique solu- tion for understanding who might be in distress," ATTOM Chief Product and Technology Officer Todd Teta said. "Along with the value of a home and a homeowner's equity position, the overall financial health of the homeowner creates a full picture of the borrower's willingness and ability to stay current on their mortgage and out of default. Combining these data points yields a much more predictive solution than the individual data points do on their own."

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