Source inventory and ingestion
Catalogue CRM, commerce, support, analytics, warehouse and engagement sources; document batch or streaming expectations.
Home / Salesforce / Turn Salesforce Data 360 into a governed, actionable customer-data layer.
Data 360 consulting
Turn Salesforce Data 360 into a governed, actionable customer-data layer.
Formerly known as Data Cloud, Data 360 helps connect and harmonize data across systems. HISOLIT can help teams frame identity, ingestion, mapping, activation, consent and integration work around measurable use cases.
ScopeDefined work
DataClear ownership
QualityTestable outcomes
OperationsDocumented handover
Data 360
From source data to action
Plan ingestion, mapping, identity resolution, governance and activation as one dependable data flow.
Delivery flow
ConnectMapUnifyActivateMonitor
Scope and deliverables
Data 360 architecture workstreams
Start from the business use case and data contracts, then confirm the source systems, identities, data model, access, activation targets and operating cost controls.
Mapping and harmonization
Define object and field mapping, transformations, freshness expectations, data quality checks and ownership.
Identity resolution
Agree match rules, reconciliation priorities, identifier quality and edge cases for duplicate or conflicting profiles.
Segmentation and activation
Connect segments and calculated insights to downstream use cases, destinations and business permissions.
Governance and access
Document consent, sensitive data, access policies, data retention and approved activation purposes.
Cost and operational controls
Review consumption assumptions, refresh frequency, test environment approach, monitoring and run ownership.
Delivery principles
Make the outcome testable before the work scales.
Technology choices should follow the business process and operating context. Capture constraints and failure behavior early so implementation teams know what “ready” means.
Use-case-first design
Prioritize data products around defined outcomes, such as unified profile, audience activation or service context.
Data quality visibility
Agree freshness, completeness, uniqueness and mapping checks before downstream teams consume data.
Identity clarity
Document how identifiers are linked and how ambiguous or conflicting records are handled.
Activation readiness
Validate destination schemas, permissions, payload requirements and monitoring before activating audiences.
Salesforce renamed Data Cloud to Data 360 on October 14, 2025; older documentation and system labels may still use Data Cloud. Product packaging and feature availability should be confirmed against the current Salesforce org and contract.
How engagements work
A practical delivery sequence
A consistent sequence makes dependencies visible and reduces the chance that data, integration, permissions or operational needs are discovered at the end of the project.
Define priority use cases
Choose the customer, sales, service or marketing decision the data should support.
Assess data and identity
Map sources, identifiers, consent, data quality and system-of-record responsibilities.
Design and validate flows
Define ingestion, modeling, reconciliation, activation and negative-path checks.
Operationalize governance
Document monitoring, refresh cadence, data stewardship, cost review and support ownership.
Related Salesforce delivery
Connect this work to the wider Salesforce stack.
Use these pages to connect cloud requirements, implementation work and ongoing operations into a clear delivery path.
Frequently asked questions
Questions to resolve before delivery starts.
Final scope depends on the products enabled in your Salesforce environment, access, architecture, licensing and acceptance needs.
Is Salesforce Data 360 the same as Data Cloud?
Salesforce announced that Data Cloud was rebranded to Data 360 effective October 14, 2025. Existing documentation and application labels may still refer to Data Cloud during the transition. Confirm current product details with Salesforce.
What should be decided before implementing Data 360?
Prioritize use cases, source systems, identities, data mappings, freshness, governance, activation destinations, consumption assumptions and operational ownership.
Can Data 360 activate data to other clouds?
Activation patterns depend on the selected destination, product capabilities, permissions and architecture. Define destination requirements and validation checks as part of design.
First-party references
Confirm product details with Salesforce.
Salesforce product names, capabilities, licensing and implementation guidance evolve. Validate current platform requirements before finalizing scope.
Salesforce Data 360 overview
Review Salesforce’s current Data 360 product and packaging details.
Open official Data 360 →Data 360 implementation guides
Consult current implementation guidance and checklists.
Open official guides →HISOLIT provides independent consulting and engineering services. Salesforce and related product names are trademarks of Salesforce, Inc. This page does not imply endorsement, affiliation or partner status. Verify third-party credentials directly with the relevant provider.
Salesforce project enquiry
Tell us what you need to build, connect or improve.
Share the Salesforce products involved, systems, business goal, current challenges and expected timeline. This helps frame a useful first discussion.