Build a data analysis strategy where speed and security work together. Learn how Tableau Next empowers analysts to deliver enriched insights faster while giving admins the tools to scale with ease.
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Community Speaker
Reserved Seating
Video On Demand
Discover Trusted Data Exploration in Tableau Next
, Product Marketing Director, Salesforce
, Senior Director Product Manager, Salesforce
, Product Management Director, Salesforce
Role: Data Analyst
Product: Tableau
Tableau Product: Tableau Next
Session Level: Intermediate
Session Type: Breakout
- Thursday, May 711:20 AM - 12:00 PM PDT(6:20 PM - 7:00 PM GMT)Stage 1 | Content Pavilion, Ground LevelRESERVED SEATING
Session Summary: The session provided a detailed exploration of Tableau Next, emphasizing its innovations and enhancements for data exploration and collaboration. Key features highlighted included the introduction of Workspaces for collaborative analysis, Personal Orgs for balancing governance and self-service analytics, new viz types and actionability. Additionally, Tableau Next enables analysts to create custom visualizations while maintaining data trust and governance. The presenters demonstrated these capabilities live, showcasing how Tableau Next empowers analysts to move faster, collaborate effectively, and perform meaningful data exploration with intuitive tools and actionable insights.
Key Takeaways:
• Tableau Next introduces Workspaces that allow analysts to collaborate in real-time, reuse assets, and maintain a lineage view to track dependencies between dashboards, visualizations, and semantic models.
• Personal orgs provide analysts with a secure environment to experiment with and extend production assets without impacting the governed environment, ensuring a balance between agility and enterprise-wide control.
• Actionability enables users to take direct actions, such as creating tasks or navigating records, directly from Tableau dashboards. Custom Lightning Web Components in Dashboards enable analysts to bring in any custom visualizations or filters based on the same semantic model.
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