CoreLogic Uses Google Cloud for New Property Analytics Product

CoreLogic announced that it’s using Google Cloud to launch its CoreLogic Discovery Platform, a “property analytics environment and cloud-based data exchange for businesses across multiple sectors.”

“Discovery Platform allows businesses — including CoreLogic’s core markets of property and real estate technology, mortgage lenders, marketers and insurance firms — to discover, integrate, analyze and model property insights to make critical business decisions faster,” the company claims.

According to CoreLogic, various services on Google’s cloud service—its major competitors are Amazon AWS and Microsoft Azure—provide the framework for managing the data science activities at the scale large analyses of real estate data, like other major types of analysis, might need.

“Typically, companies with data engineers and scientists spend weeks and even months on data wrangling before reaching the insights needed to drive business growth or mitigate risks,” CoreLogic says. “Through the collaboration with Google Cloud, CoreLogic’s Discovery Platform provides a fully secure and compliant environment with relevant data, tools, security, and governance. Using CoreLogic data models and insights allows companies to deploy secure and compliant data analytics workflows within minutes, thereby speeding up the delivery of mission-critical insights.”

Put differently, CoreLogic’s experience and strengths are in collections of data and models that allow for analysis. Google’s services handle some significant tasks required to do data analytics, reducing the workload necessary to reach the point of running analysis and getting results. A lot of work is required in advance of the part of analytical work that companies are interested in. This is an example of why many industries look to cloud processing for things like data analysis.

As the company’s release quotes John Rogers, chief innovation officer of CoreLogic, “Together, we were able to look at every part of the process—from onboarding to ingestion of data, modeling and exposure of that insight to the businesses’ operational platform—and cut the lag-time down by more than 50%.”

For all the benefits, there are business risks also involved. Dependence on a third-party’s hardware and software, with no easy way to port to another company’s offerings, can mean the potential for vendor strategic decisions to affect a business. A change in direction can leave a company without immediate means to make its product or internal processes work.