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AWS Solutions Library

Guidance for Donors/Members Data Analytics on AWS

Overview

This Guidance demonstrates how Nonprofits can build a single system of record for donor/member data from multiple disparate sources and build dashboards for trends leveraging AWS Data Lake and AI/ML services.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

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.

The Donor and Member Management Data Analytics Platform (DMMDAP) reference architecture is fully serverless. Your solution can be deployed with infrastructure as code and automation for fast iteration and consistent deployments. Use Amazon CloudWatch for application and Infrastructure monitoring.

Read the Operational Excellence whitepaper 

Use AWS Lake Formation for unified governance to centrally manage security, access control (at the table, row, and column security levels), and audit trails. Lake Formation also enables automatic schema discovery and conversion to required formats. API Gateway enforces policies that control security aspects such as authentication, authorization, and traffic management.

Read the Security whitepaper 

Serverless architecture enables the solution to be automatically scalable, available, and deployed across all Availability Zones.

Read the Reliability whitepaper 

By using serverless technologies, you only provision the exact resources you need. To maximize the performance of the DMMDAP solution, test with multiple instance types. Use API Gateway Edge endpoints for geographically-dispersed customers. Use Regional for regional customers (and when using other AWS services within the same Region).

Read the Performance Efficiency whitepaper 

By using serverless technologies and automatically scaling, you only pay for the resources you use. Serverless services don’t cost anything while they’re idle. 

Read the Cost Optimization whitepaper 

Minimize your environmental impact. Data lake uses processes to automatically move infrequently accessed data to cold storage with Amazon S3 lifecycle configurations. By extensively using managed services and dynamic scaling, this architecture minimizes the environmental impact of the backend services.

Read the Sustainability whitepaper 

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.