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Unify Data, Activate Insights With Data 360

Bring your scattered business data together and make it ready for action with HIC Global Solutions. With the right data foundation, AI, automation, and Agentforce can work with trusted context to help teams make faster decisions and deliver more connected customer experiences.

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Trusted by Businesses Building a More Connected Data Foundation

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Turn Scattered Business Data Into One Clear Customer View

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.

01

Unified Customer Data

Bring information from different sources together for a clearer view of every customer and relationship.

02

Real-Time Business Context

Give teams and AI access to relevant data when they need it, without constantly moving information between systems.

03

Smarter Decisions

Turn connected data into useful insights, automated actions, personalised experiences, and better day-to-day decisions.

Make Your Data Ready for AI, Automation, and Action

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.

1,200+

Salesforce Projects Delivered

100+

Data 360 Implementations

7

Salesforce Native Apps

100%

Focus on Client Success

>Certified expertise

Bring Your Data, AI, and Business Systems Into One Connected Environment

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.

Zero-Copy Data Integration

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.

Structured & Unstructured Data

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.

Identity Resolution

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.

Unified Data Model

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.

Policy-Based Data Governance

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.

AI Data Classification

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.

Triggered Flows & Automation

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.

Insights & Predictive Models

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.

From Planning to Growth: Your Data 360 Implementation Journey

A practical implementation journey to understand your data landscape, connect the right sources, build a reliable foundation, and activate information across your business.

STAGE 01 Discover & Assess STAGE 02 Configure & Customize STAGE 03 Migrate & Integrate STAGE 04 Integrate Your Team STAGE 05 Support & Optimize
Stage 01
Discover
Stage 02
Configure
Stage 03
Migrate
Stage 04
Integrate
Stage 05
Support
01 Stage 01

Understand Your Data Landscape

We identify your data sources, systems, business requirements, customer journeys, and current challenges before defining the right implementation approach.

02 Stage 02

Build the Right Data Foundation

We configure data models, mappings, identity rules, governance, and activation requirements around how your teams actually use their data.

03 Stage 03

Bring Existing Data Together

We help organise and connect required information from different systems while maintaining data quality, consistency, and the context needed for everyday business use.

04 Stage 04

Connect the Ecosystem

Connect your CRM, data warehouses, business applications, analytics platforms, and other systems so information can move and activate where it creates the most value.

05 Stage 05

Keep Your Data Working Smarter

Our team helps with optimisation, troubleshooting, new data sources, governance, enhancements, and ongoing improvements as your data requirements continue to change.

Put Agentforce to Work With Trusted Business Context.

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.

Real Businesses. Real Data Transformations.

Bring Your Complete Data Ecosystem Into One Connected Experience

Connect data from across your organisation and activate it across the applications, analytics platforms, and AI experiences your teams already use.

Frequently Asked Questions
What does Data 360 actually do with data from different systems?
Data 360 brings information from CRM, warehouses, business applications, and other sources into a connected data foundation. It can harmonise records, resolve identities, create unified profiles, and make trusted information available for segmentation, analytics, automation, and AI-driven experiences.
Do we need Data Cloud if our business already uses Snowflake or another data warehouse?
Data Cloud does not necessarily replace an existing warehouse. With zero-copy approaches, businesses can work with data where it already lives while activating relevant information across Salesforce. This can make Data 360 useful alongside an existing data architecture rather than requiring everything to be moved.
How does Salesforce Data 360 handle identity resolution and duplicate customer records?
Identity resolution helps match records belonging to the same person or account across different sources. During Salesforce Data 360 implementation, teams can define matching rules and data relationships carefully so unified profiles are based on reliable identifiers instead of simply combining every available record.
Can Data 360 support real-time use cases, or is it mainly for batch data?
Data 360 can support different data patterns depending on the business requirement. A well-planned Data 360 implementation considers whether a use case needs batch, near-real-time, or real-time data, rather than assuming every dataset needs to be processed instantly.
Should we work with a Salesforce partner for Data 360 implementation?
For organisations connecting multiple systems or building complex data models, a Salesforce partner can help with architecture, data mapping, identity resolution, governance, integrations, and activation. HIC Global Solutions can support your Data 360 implementation from initial planning through configuration, integration, and ongoing optimisation.