New data platform uses many Google components
After partnering with CoreLogic and Google for more than three years, the companies have extended their partnership and now have at least five more years to go.
“Google is a fantastic partner,” said John Rogers (pictured), chief innovation officer of CoreLogic, a producer of global property data and analytics-related products for mortgage lenders, property and real estate technology companies, marketers and insurance firms, among others.
Their relationship has allowed CoreLogic, in part, to produce new, more accurate valuation models and to build climate change models that predict the impact of the real estate economy decades down the line, he said.
“It’s made possible by both the expertise in CoreLogic and our data assets and obviously the underpinning technologies that Google provides,” Rogers explained.
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Underscoring their relationship, CoreLogic recently announced it launched its new CoreLogic Discovery Platform, a system fully built on Google Cloud’s secure and sustainable infrastructure. It’s focused on providing a comprehensive property analytics environment for cloud-based data exchanges for businesses including mortgage lenders, property and real estate technology, and insurance firms.
“The Discovery platform is CoreLogic’s data exchange and data science platform,” Rogers said.
Before launching it this year, CoreLogic conduced a year-long pilot with a small group of clients. Discovery has between 40 and 50 clients currently, he added.
One stop
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.
Also in play: technology from a startup named Harbr. The company’s tech boosts the Discovery experience with tools that control organizational permissions, subscription and billing management, automations for updating and refreshing data products, and the creation of collaborative work environments known as Spaces. Building the platform on Harbr also allows for quicker data product development for CoreLogic’s end customers, Harbr said in a press release.
CoreLogic’s contribution is the data.
“We provide the rich data insights and we leverage these technologies,” Rogers noted. “We’re not an infrastructure company like Google. We want to leverage the best in class.”
No-fuss integration
Rogers said that integration is designed to move quickly.
“If you’re the client – say a data scientist – we would onboard you within a matter of an hour or so to the platform,” Rogers observed.
There’s a single sign-on, and the user could bring company data assets into the cloud-based system and browse all relevant data assets on the CoreLogic side. Next, the client would integrate relevant information with CoreLogic data very quickly, built a broader data model and then expose the end result quickly into the client company’s operational platform.
In other words: clients log in, download their information and then upload what the platform does with it in terms of creating models.
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CoreLogic can do integrations to every cloud and some of the major tech stack providers so it can cover a lot of integration points. While an integration point can take an hour or two, the customer’s consumption of the data on the other side and eventual use in an operational platform can take longer.
“We strive to do this in days rather than weeks and months,” Rogers said.
That process can vary, he said, depending on a client’s operational level and release schedule, but the process overall remains relatively short. That quick schedule is by design.
“If you’re a CEO or CIO or CTO … it’s a complex world of cloud software and data providers that we want to reduce,” Rogers said. “We want to reduce the time [needed] to get a [return on investment] and unlock value.”
CoreLogic employs approximately 5,400 people, primarily in North America, Australia, New Zealand and Western Europe.
