Credit Decisioning Using Primary & Alternative Data

Financial institutions have more available data, such as annual income, employment information, and assets, to evaluate the creditworthiness of potential borrowers than ever before. However, lenders sometimes have to spend a lot of precious time and resources searching for and centralizing that data. By automating these processes on AWS, lenders can get a 360-degree view of potential borrowers in seconds, helping them speed up the application process and drive informed lending decisions.

Partner Solutions

Software, SaaS, or managed services from AWS Partners

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  • FICO Decision Modeler

    FICO® Decision Modeler brings the power of FICO® Blaze Advisor® decision rules management system to the cloud. It comes with the same core decisioning capabilities and technologies as Blaze Advisor but is completely designed and architected with a cloud-first, platform-enabled guiding principle from the very beginning. Now, on top of world’s leading-edge decision rules management system and rules engine, you can take full advantage of FICO® Platform to gain enterprise-grade capabilities such as connected and centralized decisioning, continuous decision governance and self-improving, high availability, stringent security, flexible scalability, universal accessibility, five-9s reliability all from the cloud. With FICO Decision Modeler, your business users can only become more empowered, your analytic investments more rapidly monetized, your cross-business-line collaborations more enterprise ready, your business operations more agile and proactive, the decisions your organization makes more accurate, ethical, explainable, and your regulatory compliance level more ensured. Visit the FICO Decision Technology Community to download software trials, get support and talk to the experts!
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Guidance

Prescriptive architectural diagrams, sample code, and technical content

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  • Credit Decisioning Using Primary & Alternative Data on AWS

    This Guidance shows how payment institutions can use new data types, streaming data, data lakes, and machine learning (ML) on AWS to make rapid credit decisions, reach new consumers, and deliver on customer expectations of multiple payment options.
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