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Black Knight Launches New Analytics Platform

digitalJacksonville, Florida-headquartered Black Knight Inc has announced the launch of its Rapid Analytics Platform (RAP), an innovative, interactive virtual analytics lab where users can source and upload data, execute queries, perform complex analytics, and train machine-learning models in a single workspace. A completely cloud-based platform for working with big data, RAP features an advanced workspace environment offering a mix of traditional analytics, machine learning and neural networks to help users create data-driven solutions and actionable analytic outputs.

“RAP is a unique technology platform that 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, CEO of Black Knight. “This innovative tool delivers 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.”

The platform provides users with access to all of Black Knight’s data assets, advanced analytics, and pre-built queries and analytic models, while also allowing them to join their own data to tailor queries and models to support specific use cases. Black Knight said that RAP’s real-time, high-speed processing delivers instant results–even for the most complex uses–transforming the way mortgage industry and capital markets professionals work with large data sets and advanced analytics.

Black Knight assets available via RAP currently include nationwide assessor data, recorder data, and real estate property and sales data; McDash 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. Additional data sets and analytics are continuously added.

About Author: Radhika Ojha

Radhika Ojha is an independent writer and copy-editor, and a reporter for DS News. She is a graduate of the University of Pune, India, where she received her B.A. in Commerce with a concentration in Accounting and Marketing and an M.A. in Mass Communication. Upon completion of her masters degree, Ojha worked at a national English daily publication in India (The Indian Express) where she was a staff writer in the cultural and arts features section. Ojha, also worked as Principal Correspondent at HT Media Ltd and at Honeywell as an executive in corporate communications. She and her husband currently reside in Houston, Texas.

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