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Data Cloud is the backbone of modern Salesforce implementations. Learn how to unify customer data from 50+ sources into a single real-time profile that powers every cloud.
Salesforce Data Cloud (formerly Customer Data Platform / Genie) is a hyperscale real-time data engine that ingests, harmonizes, and activates customer data from any source — creating the true Customer 360 that Salesforce has promised for years.
Traditional Salesforce implementations treat each cloud as a silo. Marketing Cloud has its own contact model, Service Cloud has its own case model, and Commerce Cloud has its own customer model. Data Cloud breaks these silos by creating a **unified customer graph** that every cloud can access in real-time.
Start with your business questions, not your source systems. Design your Data Cloud data model around the customer journeys you want to optimize:
Phase 1 (Weeks 1-4): Data discovery, source mapping, and model design
Phase 2 (Weeks 5-8): Ingestion setup, identity resolution rules, and initial data load
Phase 3 (Weeks 9-12): Segmentation, calculated insights, and cloud activations
Phase 4 (Weeks 13-16): Einstein AI model training, testing, and go-live
Ready to implement Data Cloud? about your unified customer vision.
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