Guidance for Credit Decisioning Using Primary & Alternative Data on AWS
Overview
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.
How it works
Use this high level reference architecture to build a Buy Now Pay Later (BNPL) platform on AWS with near real-time lending decisions.
Well-Architected Pillars
The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.
Operational Excellence
This Guidance can be scripted using an AWS CloudFormation template. To integrate and deploy changes, use a source control system to manage code and other artifacts, such as version-controlled CloudFormation templates of your infrastructure. When responding to incidents and events, you can send logs directly from your application to Amazon CloudWatch using the CloudWatch Logs API, or send events using AWS SDK and Amazon EventBridge.
Security
For secure authentication and authorization, IAM roles are in place for all service interactions in the environments. All data is fully encrypted in transit and in storage. AWS services provide HTTPS endpoints using TLS for communication, thus providing encryption in transit when communicating with the AWS APIs.
Reliability
To support a highly available network, all components scale automatically; account limits should be clearly defined for the supported product range. To adapt to changes in demand, the solution is modular and can scale with user adoption.
Performance Efficiency
Serverless architectures help to provision the exact resources that the workload needs. Strategies for storage lifecycle management and ensuring auto capacity scaling are used for ingestion and read and write access patterns. To meet the requirements of scaling, traffic and data access patterns, serverless architectures help to provision the exact resources that the workload needs.
Cost Optimization
This Guidance is designed to be fully optimized for cost, using only resources where necessary and only accessing data using the services appropriate for the business need.
Sustainability
By using managed services and dynamic scaling, you minimize the environmental impact of the backend services. This Guidance uses technologies that support data and access storage patterns that need to be monitored. Doing so ensures that assets, such as data, are stored in the optimum solution based on the read and write access patterns, with close attention to scaling of compute resources closely aligned to the demand.
Disclaimer
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