Today, credit unions are expected to move quickly when using application data to issue credit decisions. To remain competitive, credit unions must enrich their decision-making process with more data, and keep members informed in real-time. Using Credit Decisioning solutions on AWS, credit unions can gain insights from huge amounts of unstructured and structured data quickly, efficiently, and at a lower cost. With these solutions, credit unions can make efficient credit decisions and meet members’ expectations faster.

Partner Solutions

Software, SaaS, or managed services from AWS Partners

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  • Categorisation as a Service

    Experian’s Categorisation as a Service (CaaS) automates the categorisation of bank and credit card transaction data. The solution is driven by a suite of machine-learning algorithms, which categorise customers' bank or credit card transactions into one of over 180 different income and expenditure categories.
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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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