Salesforce Summer ’26: Why Data 360 Is the Foundation for the Agentic Enterprise

Every organization wants smarter AI, better analytics, and more personalized customer experiences. But here is the less glamorous truth: none of that works very well if your data is scattered, stale, duplicated, or living in six different systems that refuse to talk to each other.

That is why Data 360, formerly known as Data Cloud, is one of the most important areas to watch in the Salesforce Summer ’26 release. While AI often gets the spotlight, data is what determines whether those AI experiences are useful, trusted, and scalable.

In Summer ’26, Salesforce is making Data 360 more powerful for enterprise-scale data processing. Data Processing Engines can now run directly on the platform, and data prep recipes can write to multiple Data Lake Objects in a single run. For organizations managing high data volumes, this can help improve performance, reduce processing time, and remove some of the bottlenecks that slow down transformation work.

The bigger story is not just technical efficiency. It is business readiness.

As companies adopt Agentforce and AI-enabled workflows, they need a connected data foundation that agents can rely on. If customer, transaction, marketing, service, and operational data are fragmented, AI will struggle to act intelligently. Data 360 helps organizations move closer to a single source of truth, giving teams a stronger foundation for analytics, automation, personalization, and decision-making.

Summer ’26 also expands how teams can explore and activate data. Users can directly explore large Data Lake Objects in Tableau Next workspaces, embed live Data 360 widgets into Experience Cloud sites, and track historical metrics through Calculated Insight Object History. That means insights can move closer to the people who need them, whether they are internal teams, partners, or customers engaging through a digital experience.

Salesforce is also making cross-cloud integration easier with preconfigured data streams and data kits for applications such as Public Sector, Marketing, and Channel Revenue Management. This helps organizations unify data more consistently across Salesforce clouds and standard data models.

The Palladin Perspective

 Data 360 should not be treated as a back-office data project. It is a strategic layer that supports the next generation of customer engagement, operational intelligence, and AI-driven work. While Data 360 does not need to be fully implemented before adopting Agentforce, it does need to be enabled, as it serves as a foundational requirement for Agentforce capabilities.

For organizations preparing for Summer ’26, this is the right time to assess data quality, integration strategy, governance, and AI readiness. The companies that get the most value from Agentforce will be the ones that invest in trusted, connected, actionable data and establish the foundation needed to support AI-powered experiences.

Palladin helps organizations turn Salesforce data strategy into practical execution, so teams can move from scattered information to confident action.