Apr 23, 10:00 – 11:00 PM (UTC)
Learn how to design scalable, industry-aligned Data Model Objects (DMOs) in Data Cloud to unify fragmented data sources and power analytics, activation, and AI.
The foundation of any successful Salesforce Data Cloud implementation starts with well-designed Data Model Objects (DMOs). This practitioner-led session goes beyond theory to show how to apply industry-specific data standards to consolidate disparate, multi-format data sources into a single, structured customer view.
We’ll cover:
✅ Why Data Model Object (DMO) design matters—and how it impacts harmonization, AI, and automations
✅ Concrete examples from the education industry, demonstrating real-world best practices
✅ How to future-proof your model, ensuring scalability as new source systems and activation targets are introduced
✅ Common pitfalls and best practices for architects and business analysts implementing Data Cloud
If you're an Architect, Data Specialist, or Business Analyst looking to accelerate adoption of Data Cloud while avoiding technical debt and rework, this session is for you.
Speaker: Aaron Winters, Enterprise Architecture at Western Governors University
Western Governors University
Enterprise Architecture
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