Salesforce data 360 brings all your customer data together so you can see one clear picture. Many teams today store data in different places. This makes it hard to understand customers and use AI the right way.
Salesforce Data 360 was built to solve this. It helps your company pull data from many systems, clean it, match it, and turn it into one trusted view. By recently updating the naming from Salesforce Data Cloud to Salesforce Data 360, Salesforce emphasizes the platform’s focus on giving you a full 360-degree view of your customer data.
What Is Salesforce Data 360?
Salesforce data 360 is a real-time data platform that brings all your customer information into one place. At its core, Salesforce Data 360 (previously called salesforce data cloud) collects data from many systems, including Salesforce apps and external tools. It then turns this data into a clear and trusted picture of each customer. This becomes your main data foundation for analytics, AI, and automation.
And that’s crucial…
Because a strong data foundation ensures every team uses the same information. With Data 360, marketing, sales, service, and analytics teams all work from a single customer record. This reduces errors and makes AI tools far more accurate.
How Salesforce Data 360 fits the data stack
Salesforce data 360 plays a central role in the modern data stack by acting as the layer that connects, cleans, and aligns information from different systems. It supports strong data integration, reliable data harmonisation, and a clear data foundation that all teams can use.
Most companies run many tools: CRM, ERP, e-commerce, marketing platforms, data warehouses, and analytics tools. These systems do not speak the same language. Data 360 fills this gap by sitting in the middle of the stack and making all data work together.
It does that by:
- Providing data integration connectors for Salesforce and third-party systems.
- Applying data harmonisation to map different data fields into shared models.
- Building a central data foundation so teams do not rely on siloed systems.
- Working with warehouses and lakehouses instead of replacing them.
- Supplying clean and structured data to analytics tools like Tableau and CRM Analytics.
- Powering AI agents in Agentforce and autonomous decisioning across the Salesforce ecosystem.
Data 360 not only unifies data—it also makes it usable for AI. It feeds real-time, harmonised data into predictive models, generative AI tools, and new agentic AI capabilities inside Salesforce. This helps companies act on data faster and more accurately.
As mentioned earlier, without a shared platform like salesforce data 360, teams often build their own reports, making decisions using inconsistent information. Data 360 ensures every team sees the same version of the truth.
