What is the Conceptual architecture of Customer Data Platform (CDP)?

 A customer data platform (CDP) is vital for businesses today. It brings together many dimensions of customer information so that a 360-degree understanding of a customer can be created and enriched with information from multiple sources. The final aim is to generate insights and AI models that can be used to drive better customer experiences, commerce (purchases, cross-sell) and operational efficiencies.

customer data platform (cdp)


However, enterprises often face the following two challenges:

  1. CDP programs often tend to become too complex leading to delays in returning value to the business.
  1. The systematically deployment of AI insights into operations as part of closed loop analytics remains a challenge for the industry.

These challenges are a motivation for this post. The identification and implementation of a CDP does not have to be complex. In this post I wanted to present a bird’s eye view of some of the primary data and technical architectural components that business & technology leaders must think of as they embark on CDP programs – whether licensing a platform from a leading vendor or customizing an open-source product.

Today, a customer data platform (CDP) is a significant and vital investment for enterprises. However, when the Customer 360 mission overwhelms other components of the architecture, the vision of a CDP remains unfulfilled.

Read more on the CDP Architecture here.

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