Salesforce Data 360 consulting & implementation services
XCentium helps organizations implement and operationalize Salesforce Data 360 to connect, harmonize, govern, and activate customer and enterprise data across Salesforce and connected systems.
We design Data 360 around practical business outcomes so trusted data can support Agentforce, personalization, marketing, sales, service, commerce, automation, and analytics.
Salesforce Data 360 capabilities
Connected enterprise data
Connect structured and unstructured information across Salesforce, websites, warehouses, lakehouses, applications, and other enterprise sources.
Unified customer profiles
Use identity resolution and harmonization to connect information across touchpoints and create actionable customer and entity profiles.
Zero Copy integration
Access and activate data stored in supported warehouses and lakehouses without requiring every dataset to be copied into Salesforce.
Zero Copy integration
Access and activate data in supported external data platforms without physically moving every dataset into Salesforce.
Real-time data & activation
Use customer events and business signals to support timely personalization, workflows, engagement, analytics, and automation.
Segmentation and activation
Create audiences and activate customer data across marketing, advertising, commerce, service, sales, and other business processes.
Agentforce data foundation
Give agents trusted business context from Salesforce and connected enterprise data so they can provide more relevant responses and take informed actions.
Segmentation, governance & security
Create audiences while managing permissions, privacy, data spaces, security, and governance across applications, analytics, automation, and AI.
How XCentium helps with Salesforce Data 360
Our Data 360 work starts with the outcomes the data needs to support. We then design the data, identity, integration, governance, and activation model required to make that context useful across Salesforce.
Data strategy & use case design
Prioritize the customer, operational, analytics, and Agentforce use cases that should guide the Data 360 implementation.
Data architecture & source integration
Identify source systems, systems of record, integration patterns, latency requirements, and data ownership across the enterprise.
Zero Copy integration
Access and activate data stored in supported warehouses and lakehouses without requiring every dataset to be copied into Salesforce.
Data modeling & identity resolution
Design harmonized data models, identity rules, profile structures, and calculated insights around the business use cases.
Segmentation & activation
Create audiences and activate trusted data across marketing, commerce, sales, service, personalization, and other workflows.
Segmentation and activation
Create audiences and activate customer data across marketing, advertising, commerce, service, sales, and other business processes.
Agentforce grounding & AI readiness
Connect Data 360 with Agentforce so agents can use governed business context from Salesforce and external data sources.
Governance, security & optimization
Establish permissions, privacy, data quality, governance, monitoring, and operating practices so the environment can improve over time.
Business outcomes
More complete customer context
Connect information across systems so teams and applications can work with a more complete view of customers and business activity.
Trusted context for Agentforce
Provide agents with governed and relevant information rather than relying on disconnected or incomplete data.
More timely personalization & automation
Use real-time events and activated data to support customer journeys and operational workflows.
Less unnecessary data movement
Reduce unnecessary data duplication by using appropriate integration and Zero Copy patterns where supported.
Stronger data governance
Create clearer ownership, access, identity, quality, and security practices around enterprise data used across Salesforce.
Related assessments & offers
Salesforce fit & implementation assessment
Evaluate service processes, data, knowledge, channels, integrations, automation, and Salesforce architecture to define the right implementation or improvement path.
Salesforce rescue services
You already have Salesforce in place. But that doesn't mean everything is working the way it should.
Frequently Asked Questions
Salesforce Data 360, formerly Data Cloud, is Salesforce’s data platform for connecting, harmonizing, governing, and activating customer and enterprise data across Salesforce and external systems.
Yes. Salesforce renamed Data Cloud to Data 360. Existing implementations and older materials may continue to use the Data Cloud name during the transition.
Data 360 can provide trusted business context that agents use when answering questions, making decisions, and taking actions. The value depends on data quality, accessibility, identity, permissions, and governance.
Zero Copy allows supported Salesforce scenarios to access and activate data where it already resides instead of physically copying every dataset into Salesforce. Architecture, identity, permissions, and governance still need to be designed carefully.
Implementation can include data-source discovery, integration, data modeling, identity resolution, harmonization, calculated insights, segmentation, activation, security, governance, and connections to Salesforce applications and Agentforce.
Talk to a Salesforce Data 360 expert
Whether you are establishing a customer data foundation, connecting enterprise data to Salesforce, or grounding Agentforce in trusted business context, XCentium can help define and implement the right Data 360 approach.