Black Knight has launched the Rapid Analytics Platform, an interactive virtual analytics lab where users can source and upload data, execute queries, perform complex analytics and train machine-learning models, from a single workspace.
A cloud-based platform for working with big data, RAP features a unique, advanced workspace environment offering a dynamic mix of traditional analytics, machine learning and neural networks that help users create data-driven solutions and actionable analytic outputs.
RAP provides users with access to all of Black Knight’s diverse, comprehensive data assets, advanced analytics and pre-built queries and analytic models, while also allowing them to easily join their own data to tailor queries and models to support specific use cases.
RAP’s real-time, high-speed processing delivers instant results, enabling mortgage and capital markets professionals to work with complex data sets and advanced analytics.
Users have access to nationwide assessor data, recorder data and real-estate property and sales data; loan-level and historical mortgage data; automated valuation models; and home price indices. RAP has a vast analytics library that enables users to solve many challenges specific to the mortgage, real estate and capital markets industries.
The technology “was designed for the mortgage and capital markets industries and can be used out of the box, on day one, to support virtually endless possibilities,” said Anthony Jabbour, Black Knight’s CEO. It was designed with “computational power an order of magnitude greater than what most firms have in-house, and enables data scientists and analysts to deliver faster insights and help their companies enhance performance, identify new revenue opportunities, increase efficiencies, and reduce risk.”
“As a big-data incubator, there is simply nothing else like RAP on the market, particularly for those who focus on housing-related assets, whether it’s the mortgage industry, capital markets, or any of the fields adjacent to those,” said Ben Graboske, president of the data and analytics department of Black Knight. “The speed with which analysts and data scientists can now explore multiple scenarios, see results, change parameters and run whole scenarios again is unparalleled.”
