Guidance for Customer Data Platform on AWS
Overview
This Guidance shows how you can build a well-architected customer data platform with data from a broad range of sources, including contact centers, email, web and mobile entries, point of sale (POS) transactions, and customer relationship management (CRM) systems. It explores each stage of building the platform, starting with the extraction of batched and real-time data streams. Next, this Guidance shows how to cleanse, enrich, and process the data to create a unified customer record across all data sources. Finally, the processed data is ready for analysis and collaboration, all in a restricted, secure environment where you set the controls. The data can be used to build more personalized customer experiences and to enhance the monetization of your marketing campaigns.
How it works
This Guidance shows how to build a customer data platform with a full, 360 degree profile view of customer data. It explores each stage of building the platform, including data ingestion, identity resolution, segmentation, analysis, and activation.
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.
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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.
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