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AWS Solutions Library

Guidance for Donor Personalized Engagement on AWS

Overview

This Guidance demonstrates how Nonprofits can personalize experiences across the fundraising lifecycle with donors such as a) right amount to solicit, b) right frequency of engagement, c) right channel, leveraging AWS data lake and other AWS 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 Personalized Engagement with Donors/Members Platform (PEDMP) reference architecture is using fully-managed AWS services. The solution can be deployed with infrastructure as code and automation for fast iteration and consistent deployments. The platform can be monitored using Amazon CloudWatch and audited using AWS CloudTrail logs.

Read the Operational Excellence whitepaper 

Use Lake Formation for unified governance to centrally manage security, access control (at the table, row, and column security levels), and audit trails for the data. Lake Formation also enables automatic schema discovery and conversion to required formats. 

Read the Security whitepaper 

By leveraging fully-managed AWS services in this architecture, the solution is automatically scalable, available, and deployed across all Availability Zones.

Read the Reliability whitepaper 

By using fully-managed AWS services, you only provision and utilize the resources you need. To maximize the performance of the PEDMP solution, run periodic stress and performance tests with varying volumes of data to test the system performance.

Read the Performance Efficiency whitepaper 

By using fully-managed AWS services that scale automatically based on demand, you only pay for the resources you use. With QuickSight's pay-per-use pricing and serverless architecture, this platform delivers increased value to the business, faster and at lower costs compared to other competitive visualization tools/services.

Read the Cost Optimization whitepaper 

Minimize your environmental impact. The data lake uses processes to automatically move infrequently accessed data to cold storage with Amazon S3 lifecycle configurations. By using fully-managed AWS 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.