This unit examines the data foundations, platform components, and governance needed to deliver Customer 360 experiences and effective personalization. Students map customer data types, explore cloud and warehouse architectures, and reconcile expectations around privacy, control, and delivery to prepare for implementing end-to-end Customer 360 solutions.
Learning Objectives
- Analyze common customer frustrations and expectations about personalization and translate them into concrete data and platform requirements for a Customer 360 solution
- Apply data cloud architecture and enterprise data warehouse concepts to design a high-level Customer 360 data flow that integrates typical customer data types
- Demonstrate how key elements of a Customer 360 platform and related services work together to enable real-time personalization and data orchestration
- Evaluate privacy, consent, and governance considerations and recommend controls and leadership strategies to guide Customer 360 implementation and successful project completion
Curriculum
- 1 Section
- 10 Lessons
- 30 hours
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- Unit 3 — Customer 360 Data Architecture10
- 1.1FRUSTRATIONS AND EXPECTATIONS ABOUT PERSONALIZATION20 mins
- 1.2DATA CLOUD ARCHITECTURE20 mins
- 1.3TYPICAL CUSTOMER DATA TYPES20 mins
- 1.4ENTERPRISE DATA WAREHOUSES20 mins
- 1.5NOTES20 mins
- 1.6LEFT-BRAINED AND RIGHT-BRAINED LEADERSHIP20 mins
- 1.7GETTING TO THE FINISH LINE20 mins
- 1.8EXPECTATIONS AROUND PRIVACY AND CONTROL20 mins
- 1.9KEY ELEMENTS OF A CUSTOMER 360 PLATFORM20 mins
- 1.10THE DATA PARTY20 mins
Instructor
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