Get practical guidance for implementing Data 360, including common pitfalls to avoid and key considerations for performance, security, and scalability.
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10 Tips for Implementing Data 360 Successfully
, CTO & Managing Architect, Maple Digital
Role: Administrator
Products: Data 360
Session Level: Intermediate
Session Type: Theater
- Thursday, Apr 168:00 AM - 8:20 AM PDT(3:00 PM - 3:20 PM GMT)Theater 5 (Level 3)FIRST COME FIRST SEATED
- Thursday, Apr 163:30 PM - 3:50 PM PDT(10:30 PM - 10:50 PM GMT)Theater 4 (Level 2)FIRST COME FIRST SEATED
Session Summary: The session provided an in-depth exploration of Data 360, a unified data management platform designed to centralize data from multiple sources, create unified profiles, and enable real-time analytics and insights. Key features highlighted included out-of-the-box connectors, seamless integration with Salesforce products like Agentforce Marketing and Agentforce Service, and the ability to trigger flows and segmentation based on external data. Attendees learned about critical implementation tips such as understanding the standard data model, assessing data readiness through audits, and leveraging native integrations to optimize scalability and efficiency. Additionally, the session emphasized the importance of data governance, stakeholder involvement, and continuous monitoring to ensure successful adoption and measurable business outcomes, all while managing credit usage effectively through tools like the digital wallet and Data360 sizing calculator.
Key Takeaways:
• Understanding the Data Cloud data model, including its 200+ objects, is essential for mapping and harmonizing data effectively while maximizing the platform's capabilities.
• Stakeholder involvement and defining clear business objectives early in the implementation process are crucial to align cross-functional teams and ensure the project meets organizational needs.
• Monitoring credit usage through the digital wallet and maintaining high-quality data through audits and governance policies are critical to controlling costs and achieving consistent, actionable insights.
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