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Create an end-to-end data strategy for Customer 360 on AWS

Big Data Blog

This article discusses how to create an end-to-end data strategy for Customer 360 (C360) on AWS. C360 provides a unified view of customer interactions and behavior across channels, enabling data-driven decisions for improved business outcomes.

Specifically, the article covers:

  • The five pillars of a mature C360: data collection, unification, analytics, activation, and data governance.
  • Key AWS services and architectural patterns for each pillar, such as data ingestion with AWS Glue and Amazon Kinesis, identity resolution with AWS Entity Resolution, analytics with Amazon QuickSight and Amazon Redshift, activation with Amazon SageMaker and Amazon Personalize, and governance with AWS Lake Formation and Amazon DataZone.
  • An end-to-end architecture diagram combining these components for implementing a Customer Data Platform and C360 solution on AWS.
  • Conclusion emphasizing the importance of C360 and guidance on building skills and prioritizing projects within each pillar.
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