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First you need reliable data…
Then you can unlock high‑performance machine learning, advanced generative AI, omnichannel orchestration, customer‑centric analytics, and next‑level personalization, segmentation, and automation. Every brand is eager to unlock those benefits, but they’re finding that decades of martech sprawl and best‑of‑breed decisions have created fractured, scattered, and poorly integrated data silos full of conflicting data. The solution is to (1) centralize customer data in a CDP and (2) rationalize your martech stack, with an eye on both eliminating duplicative functionality and improving integration. Do those and you’ve built a strong foundation for future success.
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Patrick Maxwell
Senior Director of Solution Architecture, Oracle Digital Experience Agency
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In this issue:
- CDP vs. MDW vs. CRM vs. CDM vs. DMP
- Unlocking the benefits of a CDP
- Transform your CX with a CDP
- 3 benefits of a CDP
- How to simplify your martech stack
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Customer data platforms have advantages over all those other solutions, but also work well with some of them.
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Organizations can face many challenges in getting a CDP implemented, including confusion around exactly what a CDP is, understanding use cases, and getting buy‑in from all stakeholders.
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Adding a customer data platform can fix a myriad of problems, but the CDP landscape is confusing and many brands aren’t sure what the right choice is for them.
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As brands excitedly explore ways to deploy AI/ML and improve their omnichannel experiences, they’re quickly discovering serious limitations because of how scattered their customer data is. The solution is a customer data platform.
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After decades of embracing a best‑of‑breed approach, many companies find themselves with a martech stack that’s sprawling, disjointed, and underperforming.
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More insights on the value of good data architecture:
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