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Rogers describes the platform as a way for mortgage companies to access multiple data products they might need. Specific clients include mortgage originators, servicers and alternative providers in the proptech space.
A mortgage company can use Discovery to easily access CoreLogic’s product and data assets, Rogers said, including property information lien details, or access to models like price indexes or market risk indicators.
“As a mortgage client I can perform and gain insights on my book of business, whether that’s to drive growth or mitigate risk, so we can find an insight or mortgage client very rapidly,” Rogers said.
CoreLogic built the scalable platform relying on Google Cloud Services including Dataproc, BigQuery, Anthos and CloudRun to manage data science workloads for predictive and prescriptive analytics.
BigQuery is a petabyte-scale backend for the platform, enabling comprehensive property data views built from a number of CoreLogic and third-party data sets. Dataproc helps facilitate advanced analytics and data science at scale for Discovery, CoreLogic said.
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