Operationalizing Customer 360

This culminating unit focuses on turning Customer 360 strategy into operational systems and organizational practices. Students synthesize platform architecture (modern data warehouses and Data Clouds), data gravity implications, and human-resources and change-management approaches needed to deploy scalable, secure solutions that handle structured and unstructured customer data.

Learning Objectives

• Analyze the effects of data gravity on Customer 360 architecture and integration choices, including trade-offs between centralized (e.g., Snowflake) and distributed data models
• Apply modern data warehouse and Data Cloud principles to design a scalable ingestion, storage, and query solution that accommodates both structured and unstructured customer data
• Evaluate organizational impacts—evolving roles, HR paradigms, and change-management requirements—and propose a measurable staffing, hiring, and continuous-learning plan to raise AI IQ and curiosity
• Demonstrate a governance and implementation checklist that addresses data access, security, compliance, and operational change management for deploying Customer 360 solutions