Overview
Data 360 is the engine that activates trusted context across your entire enterprise. Every data source you have - your warehouse, data lake, third-party signals, product data - gets connected to the business context that already lives in Salesforce: the business logic, shared language, guardrails, and automation. All possible without moving data, thanks to Zero Copy.
It works with the tools and teams you already have, including AWS. Data 360 connects directly to data where it lives, breaking down silos and harmonizing information using low-code tools so every department can power Agentforce, automate workflows, and make smarter decisions faster.
The result: every person on your team, and every AI agent working on your behalf, is always operating from a complete, current, and trusted picture of your customer and business, right now, in the moment it is needed.
Highlights
- Make all your enterprise data ready for action, without moving it.
- Power workflows, decisions, and analytics with one complete data source.
- Bring context and insight to your data so Agentforce can put it to work.
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Customer reviews
Easy, Unified Reporting Across Multiple Systems
Data 360: Powerful Enterprise Intelligence Layer for a True Customer 360
I’ve worked with environments where different Salesforce orgs and external systems each hold a piece of the customer journey. What I find particularly powerful about Data 360 is the ability to connect those pieces without forcing the entire enterprise to consolidate onto a single system.
As an architect, I also like that it goes beyond data consolidation. Once data is unified, I can think about how to activate it—feeding it into Sales, Service, Agentforce, Marketing, analytics, or downstream processes. That makes Data 360 feel less like another data platform and more like an intelligence layer connecting the enterprise to the Salesforce ecosystem.
That shift—from simply integrating data to making it contextual, actionable, and available at the point of decision—is what makes Data 360 particularly interesting to me.
In the multi-org and integration architectures I’ve worked with, the complexity often sits upstream—data quality, identity resolution, conflicting customer identifiers, inconsistent data models, and real-time vs. batch requirements. Data 360 can bring the data together, but it doesn’t eliminate those underlying architecture problems; in some cases, it makes them more visible.
I also find the platform can have a steep learning curve. Understanding ingestion, data modeling, identity resolution, calculated insights, activation, governance, and consumption patterns requires a fairly broad skill set. I’d like to see more simplicity around end-to-end lineage, troubleshooting, cost/consumption visibility, and managing complex multi-org implementations.
For me, the biggest opportunity is making Data 360 easier to operate at enterprise scale without requiring architects and data teams to understand so many underlying platform concepts.
The value is that I can connect and harmonize those different data sources without requiring the entire enterprise to move onto Salesforce. Identity resolution and a common data model help turn fragmented records into a more meaningful customer profile, while real-time data and activation make that information usable by Sales, Service, Marketing, Agentforce, and other channels.
The biggest benefit for me as an architect is that it changes the conversation from “How do we integrate these systems?” to “What can we do with the unified data?”. It gives me a foundation for building more contextual experiences, better segmentation and insights, and AI-driven use cases while reducing the need to replicate customer data across multiple systems.