Second Generation of Black Knight’s Rapid Analytics Platform Significantly Expands Data Marketplace and Team Collaboration Tools; Further Streamlines Workflow
Black Knight, Inc announced the release of the second generation of its Rapid Analytics Platform (RAP), which includes a powerful new design that delivers a streamlined workflow experience for users. RAP also now includes several additional datasets that clients can leverage to address a variety of critical business needs.
RAP is a unique, cloud-based data marketplace and decision-science studio that allows users to directly access Black Knight’s massive, diverse data assets and create custom analytics within a single solution. Users can seamlessly source Black Knight data managed on the platform, connect to other data sources, execute queries, create advanced analytics and train machine-learning models.
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“RAP had already changed the landscape for mortgage and housing-related data science by bringing together more primary-sourced data and advanced analytics than any platform currently available,” said Ben Graboske, president of Black Knight’s Data & Analytics division. “With this second iteration, we’ve significantly enhanced the user and workflow experience and increased the number of datasets available, while simultaneously boosting the power available to users.”
RAP is used by forward-looking mortgage, real estate, and capital markets professionals for portfolio retention strategy; equity analysis and valuation; prepayment and default analytics; pre- and post-bid due diligence; performance benchmarking; and much more.
In addition to providing access to many of the industry’s deepest and most granular datasets available, RAP also offers a growing catalogue of “out-of-the-box” analytics. Designed with transparency in mind, this exposed code allows users to get started quickly with a deep understanding of how the analytics have been developed. Users can also choose to build their own analytics, or they can leverage Black Knight’s highly experienced professionals to develop and deliver customized analytics.
Additionally, workspaces have been added to help users create custom views of the RAP resources relevant to a particular data science strategy.