Why do SAP Customer Experience (SAP CX) transformations fail despite investments in SAP Commerce, SAP Sales Cloud, SAP Customer Data Cloud, and AI-powered personalization? The biggest challenge in SAP CX transformation isn't implementing more applications: it's connecting customer identity, enterprise data, and AI to deliver measurable business value! In this SAP CX Masterclass, Kunal Bansal (SAP CX Transformation Architect and SAP Champion with over 14 years of experience) explains why complex SAP CX integrations create business challenges, how SAP BTP and Integration Suite connect enterprise applications, why SAP CDC and CIAM implementations fail without proper data architecture, and how organizations can build unified customer profiles across multiple channels. Discover how real-time customer data powers personalized experiences, why consent management and GDPR compliance must be part of CX architecture, and what makes enterprise customer data truly AI-ready.

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Chapters:
00:00 – Introduction
00:16 – Why is integration the hardest part of SAP CX implementation and what makes it structurally complex?
01:42 – What role does SAP BTP play as the backbone of CX architecture and how do you design it right?
02:49 – What are the most common costly mistakes in SAP CDC CIAM implementation?
04:10 – What does a truly well-architected SAP CX landscape look like and how do you know when you have one?
05:47 – What does data-driven CX actually mean in practice and how it is different from just having data?
08:40 – How do you balance personalization with privacy especially in a post-GDPR consent-first world?
10:30 – Where do organizations struggle most with customer data and what architectural decisions create those struggles?
11:34 – What does AI-ready CX data actually mean and how do you know if your data is ready for AI?
14:45 Conclusion

In this video, you’ll learn:
Why is integration the hardest part of SAP CX implementation, and what makes it structurally complex?
What role does SAP BTP play as the backbone of CX architecture, and how do you design it right?
What are the most common costly mistakes in SAP CDC CIAM implementation?
What does a truly well-architected SAP CX landscape look like, and how do you know when you have one?
What does data-driven CX actually mean in practice, and how is it different from just having data?
How do you balance personalization with privacy, especially in a post-GDPR consent-first world?
Where do organizations struggle most with customer data, and what architectural decisions create those struggles?
What does AI-ready CX data actually mean, and how do you know if your data is ready for AI?

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