Salesforce Data 360
Unify, activate, and put trusted enterprise data to work across Salesforce
What Salesforce Data 360 does
Salesforce Data 360, formerly Data Cloud, is Salesforce’s data platform for connecting, harmonizing, and activating customer and enterprise data across Salesforce and external systems.
It brings together structured and unstructured data from sources such as Salesforce applications, websites, data warehouses, lakehouses, and other enterprise platforms so that data can be used across AI, automation, analytics, personalization, and customer engagement.
Data 360 also provides trusted business context for Agentforce, helping AI agents access the information they need to answer questions and take actions.
XCentium helps organizations design and implement Data 360 around practical business use cases. We connect data sources, establish the right data model and identity strategy, and activate data across Salesforce and Agentforce.
Salesforce Data 360 capabilities
Connected enterprise data
Connect structured and unstructured data from Salesforce and external systems, including customer, transaction, behavioral, operational, and other enterprise information.
Unified customer profiles
Use identity resolution and data harmonization to connect information across touchpoints and create unified, actionable customer profiles.
Zero Copy integration
Access and activate data stored in supported warehouses and lakehouses without requiring every dataset to be copied into Salesforce.
Real-time data and activation
Use customer events and other business signals to support timely workflows, personalization, engagement, analytics, and other actions across Salesforce.
Agentforce data foundation
Provide Agentforce with trusted business context from Salesforce and connected enterprise data so agents can deliver more relevant responses and take informed actions.
Segmentation and activation
Create audiences and activate customer data across marketing, advertising, commerce, service, sales, and other business processes.
Data governance and security
Manage access, permissions, data spaces, security, privacy, and governance so data can be used appropriately across applications, analytics, automation, and AI.
How XCentium helps you put your data to work
We design, implement, integrate, and optimize Data 360 around your business objectives, data architecture, and Salesforce environment.
This includes identifying priority use cases, connecting data sources, designing data models, identity resolution, harmonization, segmentation, activation, integrations, security, and governance.
We also help organizations connect Data 360 with Agentforce and other Salesforce applications so trusted data can support AI agents, personalization, automation, analytics, marketing, sales, service, and commerce.
Our approach starts with the outcomes the data needs to support rather than simply bringing more data into the platform.
Business outcomes with Salesforce Data 360
Create more complete and trusted customer profiles
Activate data across Salesforce and connected experiences
Give Agentforce access to relevant business context
Support real-time personalization and automation
Reduce unnecessary data movement with Zero Copy
Improve decision-making with connected enterprise data
Salesforce fit & implementation assessment
Choosing the right platform and approach is critical.
We evaluate your current systems, business goals, and architecture to define the best path forward with Salesforce.
Frequently Asked Questions
Salesforce Data 360, formerly Data Cloud, is Salesforce’s data platform for connecting, harmonizing, and activating customer and enterprise data.
It can bring together structured and unstructured information from Salesforce and external systems and make that data available for AI, automation, analytics, personalization, workflows, and customer engagement.
Data 360 also provides business context that Agentforce can use when answering questions and taking actions.
Yes. Salesforce renamed Data Cloud to Data 360.
The product’s name changed, but existing implementations, documentation, contracts, case studies, and other materials may still use the Data Cloud name.
Organizations may therefore see both Data 360 and Data Cloud used during the transition.
Data 360 can provide Agentforce with trusted business context from Salesforce and external data sources.
Agents can use relevant customer, product, transaction, interaction, knowledge, and other enterprise information to better understand a request, provide more contextual responses, and support business actions.
The effectiveness of Agentforce depends on the quality, accessibility, permissions, and governance of the data available to it.
Zero Copy allows Salesforce to access and activate data stored in supported external data platforms without requiring every dataset to be physically copied into Salesforce.
This can reduce unnecessary data movement and synchronization while allowing Salesforce applications, analytics, automation, and Agentforce to work with enterprise data where it resides.
Zero Copy does not eliminate the need for data architecture and governance. Organizations still need to define data ownership, identity, schemas, permissions, quality, and how information should be used.
Identity resolution helps connect records that belong to the same customer or entity across different data sources.
Organizations can define matching and reconciliation rules to bring together information such as identities, customer profiles, transactions, interactions, and engagement data into unified profiles.
The appropriate identity strategy depends on the available data, its quality, the business use case, privacy requirements, and how the resulting profiles will be activated.
A Data 360 implementation should begin with the business outcomes and use cases the data needs to support.
Implementation can include data-source discovery, connections, data modeling, identity resolution, harmonization, calculated insights, segmentation, activation, security, governance, integrations, and connections to Salesforce applications and Agentforce.
Teams should also determine which systems own important data, what needs to be available in real time, and how data quality and access will be managed over time.
Yes. XCentium has implemented Salesforce Data Cloud, now Data 360, as part of broader Salesforce environments.
Our experience includes connecting customer data with commerce, marketing, service, integrations, and other enterprise systems.
XCentium has worked with Data Cloud in Salesforce environments for organizations including Salon Service Group and Eminence Organic Skin Care.
Look for a partner that understands both the data platform and the business applications that will use the data.
Relevant capabilities include data architecture, integration, identity resolution, data modeling, governance, security, Salesforce applications, analytics, automation, and Agentforce.
An experienced Data 360 partner should be able to explain where data comes from, how identities will be resolved, which systems remain systems of record, how data will be activated, and which measurable business outcomes the implementation is intended to support.