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Community Speaker
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Video On Demand
Data 360 and Tableau Next: Tips to Hit the Ground Running
, Principal Data & AI Architect, Salesforce
Role: Administrator
Product: Data 360
Session Level: Beginner
Session Type: Theater
- Wednesday, May 61:00 PM - 1:20 PM PDT(8:00 PM - 8:20 PM GMT)Theater 1 | Data Village, Ground LevelFIRST COME FIRST SEATED
Session Summary: The session focused on the transformative capabilities of Data Cloud (formerly Data 360) and Tableau Next, highlighting their potential to revolutionize AI-powered analytics and unify data for actionable insights. It was emphasized that nearly 60% of AI analytics initiatives fail without AI-ready data, and Data Cloud addresses this by integrating internal and external data sources, creating a unified profile, and establishing a semantic layer for business logic. Tableau Next, built on Data Cloud, was presented as a multi-layered platform offering data integration, semantic clarity, visualization, and actionable insights through natural language queries, enabling users to make data-driven decisions seamlessly. A compelling customer case study demonstrated how leveraging these technologies increased analytics adoption from 10% to 80% and saved 4,500 hours of manual work monthly, showcasing the tangible benefits of aligning organizational strategies with these tools.
Key Takeaways:
• Data Cloud unifies disparate data sources, defines business logic in a semantic layer, and provides a foundation for AI-ready analytics, addressing a key challenge in AI adoption.
• Tableau Next enhances decision-making by integrating visualization, semantic clarity, and actionable insights, empowering users to interact with data through natural language queries.
• A real-world example showed dramatic efficiency gains, including a reduction of 4,500 hours of manual work per month and an increase in analytics adoption from 10% to 80%, proving the impact of these tools in driving organizational success.
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Available Now on Salesforce+: Watch now
