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Create a 360-degree view of your consumers using AWS Entity Resolution and Amazon Neptune

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This blog post describes an architecture on AWS for connecting related consumer data from multiple channels to develop a unified 360-degree view of consumers. It explains how to use AWS Entity Resolution and Amazon Neptune to link and match anonymous clickstream event data with known consumer identities.

Specifically, the article covers:

  • Matching anonymous clickstream data with known user identities using AWS Entity Resolution
  • Creating a graph data model in Amazon Neptune to represent relationships between entities like user groups, devices, IP addresses, and logins
  • Transforming and loading the matched data from AWS Entity Resolution into Amazon Neptune
  • Visualizing and querying the unified consumer data graph in Amazon Neptune to derive insights
  • Conclusion on how this solution can improve data quality, enable advanced analytics, and drive personalized consumer experiences
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