Data Modeling for Unified Customer Profiles and Identity Resolution

In a world of fragmented data, businesses struggle to connect the dots between different customer touchpoints. Consolidating this information into a single, cohesive view is essential for accurate analysis and personalized experiences. This course guides you through the foundational concepts of data modeling and identity resolution, teaching you how to design clean, unified individual records from diverse data sources. You will gain the skills needed to structure data effectively, manage identity rules, and maintain data integrity. What you'll learn: Understand the core principles of identity resolution and customer data integration; Design robust data models that accommodate diverse customer touchpoints and attributes; Apply deterministic and probabilistic matching strategies to link disparate records; Configure rules for data merging, survivorship, and conflict resolution; Address modern privacy considerations, including data governance and compliance standards; Practice identifying and resolving common data quality issues through written scenarios. Starting with fundamental terminology and core data concepts, the course guides you step-by-step through schema design, matching logic, and profile maintenance. This course is designed for beginners in data management, business analysis, or product management who want to understand identity resolution without needing prior programming experience. Start building a reliable foundation for unified customer data today.