Salesforce Data 360 helps bring data from different systems together, so teams can work with a more complete and trusted view of customers, operations, and business information.
Bring information from different sources together for a clearer view of every customer and relationship.
Give teams and AI access to relevant data when they need it, without constantly moving information between systems.
Turn connected data into useful insights, automated actions, personalised experiences, and better day-to-day decisions.
Salesforce Data 360 creates a shared data foundation across applications, analytics, integrations, and AI, helping businesses move from disconnected information to trusted insights and real-time actions.
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Data 360 connects structured and unstructured information, harmonises it across sources, and makes it easier to activate insights across customer experiences, analytics, automation, and AI-powered workflows.
Connect directly with data stored in platforms such as Snowflake, Databricks, Google BigQuery, and AWS without creating unnecessary copies. Data 360 implementation can help businesses activate existing information while keeping data closer to its original source.
Bring tables, logs, documents, images, text, and streaming data into a connected environment. Salesforce Data 360 helps organise different data types so teams and AI systems can work with a broader business context.
Match customer records across different systems to create more complete profiles. Data 360 helps reconcile identities and reduce fragmented records, giving teams a clearer understanding of customers across sales, service, marketing, and other business functions.
Create consistent meaning across information coming from different sources. Salesforce Data 360 uses a standardised data model to help teams interpret relationships, attributes, and business information more consistently across applications and workflows.
Set rules around how data can be accessed, used, and shared across your environment. Data 360 implementation can help businesses apply governance, consent, privacy, and compliance requirements without losing the ability to activate trusted information.
Use AI to identify and classify sensitive information across connected data sources. Salesforce Data 360 helps teams understand what data they have and apply the right governance controls before that information is used by applications, analytics, or AI.
Turn data changes and real-time events into business actions. Data 360 can trigger Salesforce automation when important information changes, helping teams respond faster without relying on manual checks or disconnected processes.
Turn unified information into useful metrics such as engagement scores, customer lifetime value, and predictive insights. Salesforce customer 360 becomes more actionable when teams can use these insights to understand needs and personalise customer experiences.
A practical implementation journey to understand your data landscape, connect the right sources, build a reliable foundation, and activate information across your business.
We identify your data sources, systems, business requirements, customer journeys, and current challenges before defining the right implementation approach.
We configure data models, mappings, identity rules, governance, and activation requirements around how your teams actually use their data.
We help organise and connect required information from different systems while maintaining data quality, consistency, and the context needed for everyday business use.
Connect your CRM, data warehouses, business applications, analytics platforms, and other systems so information can move and activate where it creates the most value.
Our team helps with optimisation, troubleshooting, new data sources, governance, enhancements, and ongoing improvements as your data requirements continue to change.
Agentforce becomes more useful when it has access to reliable business information. Data 360 helps bring the right context closer to AI agents, so they can understand customer situations and support more accurate actions.
Give AI agents trusted enterprise data instead of disconnected information.
Use unified customer context to support more relevant recommendations and responses.
Turn real-time data changes into automated actions across business workflows.
Connect data from across your organisation and activate it across the applications, analytics platforms, and AI experiences your teams already use.