Salesforce Data 360: Turn Fragmented Data Into a Trusted Customer View

Data 360 is Salesforce's framework for unified customer data: a single, real-time, complete view of every customer assembled from every system you use. It's powered by Salesforce Data Cloud and made available across every Salesforce product, including Sales, Service, Marketing, and Agentforce. The point isn't the data itself — it's that every team and every AI agent in your org sees the same customer the same way.

Data 360 is Salesforce's architecture for unified customer data. Data Cloud is the product that powers it. Think of Data 360 as the outcome, a complete and connected view of your customer, and Data Cloud as the technology that makes it possible. When you implement Data 360 with Modelit, we're using Salesforce Data Cloud to get you there.

Directly. Agentforce agents make decisions and take actions based on the data they can access. When your data is unified in Data 360, Agentforce has a complete picture of every customer: their history, their preferences, their open cases, their recent activity. That's what allows it to give relevant, accurate responses instead of generic ones.

Scope determines timeline. Our Quick Start to Data 360, which covers two data sources and gets you to a working production environment, takes four weeks. A full multi-source implementation typically runs eight to sixteen weeks depending on the number of systems involved and the state of your data.

If your teams are making decisions based on incomplete or inconsistent customer data, if you've purchased or are considering Agentforce or other Salesforce AI tools, or if you're running multiple Salesforce clouds and struggling to get a unified view, Data 360 is likely the right move. Start with our free Data Cloud Readiness Assessment to find out.

Traditional CDPs are built for marketing use cases and usually live outside your CRM. Data warehouses like Snowflake or BigQuery are built for analytics and reporting, not real-time customer engagement. Data 360 is built specifically to feed Salesforce workflows and AI agents in real time, with native integration into the products your teams already use. If you only need analytics, a warehouse is cheaper. If you need to power real-time customer experiences and AI agents inside Salesforce, Data 360 is built for that job.

Data Cloud uses consumption-based pricing tied to credits, with credits consumed by data ingestion, identity resolution, segmentation, and activation. Total cost depends heavily on data volume and how actively the unified profiles are used. Our Quick Start to Data 360 includes a credit use forecast specifically to give you a defensible number before committing.