Salesforce Certified Data 360 Consultant
Salesforce Certified Data 360 Consultant
Salesforce Certified Data 360 Consultant
The Salesforce Certified Data 360 Consultant certification validates the expertise required to design, implement, configure, and optimize Salesforce Data 360 solutions that help organizations unify customer data, generate actionable insights, and drive personalized customer experiences. As businesses increasingly rely on data-driven decision-making and AI-powered customer engagement, professionals who can transform fragmented enterprise data into a unified customer view are in high demand.
Who should take the exam?
This certification is designed for professionals who implement and consult on Salesforce Data 360 solutions in customer-facing and enterprise environments.
- Salesforce Consultants
- Data Consultants
- Solution Architects
- Business Analysts
- Salesforce Administrators
- CRM Consultants
- Customer Data Platform Specialists
- Technical Architects
- Data Strategy Professionals
- Customer Experience Consultants
Course Outline
The Salesforce Certified Data 360 Consultant Exam covers the following topics -
- Domain 1. Solution Positioning (14%)
- Domain 2. Data 360 Setup and Administration (13%)
- Domain 3. Data Source Connection and Ingestion (18%)
- Domain 4. Harmonization and Unification (17%)
- Domain 5. Segmentation and Insights (18%)
- Domain 6. Data Activation (20%)
Knowledge Gained
Preparing for the Salesforce Certified Data 360 Consultant certification enables professionals to develop expertise across modern customer data management and activation disciplines.
- Customer Data Platform Fundamentals
- Enterprise Data Integration
- Customer Identity Resolution
- Data Modeling and Governance
- Audience Segmentation and Analytics
- Data Activation and Personalization
- AI and Customer Intelligence
- Enterprise Data Strategy
Recommended Prerequisites
Although there are no mandatory prerequisites, candidates are encouraged to have:
- Experience with Salesforce platforms and solutions
- Knowledge of customer data management concepts
- Familiarity with CRM and customer engagement processes
- Understanding of enterprise data architecture
- Experience with data integration and transformation
- Knowledge of business analysis and solution design
- Familiarity with data governance principles
- Understanding of customer experience and personalization strategies