Turn Disconnected Data Into Business Intelligence
Unify your customer data into a structured customer profile, regardless of where it resides or whether it is structured or unstructured. Our Salesforce Data Cloud services ensure it becomes accessible, usable, and AI-ready.
The Hidden Cost of Disconnected Data
Having more data doesn't always mean an advantage. Businesses collect vast amounts of information, but often struggle to make it usable. That's a lot of profit left on the table.
Endless Custom Integrations
High engineering costs are spent building and maintaining brittle, custom data pipelines.
Fractured Customer Experiences
Siloed departments delivering inconsistent, repetitive, or out-of-date customer interactions.
The AI Bottleneck
Ineffective AI models and automation are caused by feeding them stale, fragmented data.
Redundant Storage & Risk
Storing duplicate data across multiple systems increases compliance and security vulnerabilities.
What Data Cloud Helps You Achieve
Salesforce Data Cloud (Data 360) brings together customer data from across your business, helping you create a trusted foundation for personalization, real-time insights, and AI-powered experiences.
Unified Customer Profiles
Data Cloud brings together data from systems such as CRM, ERP, marketing platforms, and commerce systems, unifying it into a single source of truth that can be used across all teams.
Real-Time Customer Insights
Customer behavior is captured across systems in real time, enabling teams to understand intent instantly and respond quickly to opportunities while customer engagement is at its peak.
Personalized Customer Experiences
By unifying customer data into real-time profiles, Data Cloud enables teams to trigger relevant messages, offers, and actions across channels based on customer behavior.
Agentforce-Ready Data Foundation
Data Cloud turns fragmented structured and unstructured data into a reliable source that Agentforce agents can use to deliver better outcomes and automation across every business function.
Zero-Copy Data Access
Access and activate data directly from platforms like BigQuery, Snowflake, or AWS without moving or duplicating it, reducing complexity while keeping data always current and secure.
Our Salesforce Data Cloud Services
From strategy to implementation, our Salesforce Data Cloud services help you unify data, improve visibility, and enable real-time, AI-ready customer experiences.
Strategy & Planning
Data Cloud Consulting Services
- Current-state data audit & gap analysis
- Architecture design for scalable Data Cloud setup
- Roadmap with phased implementation milestones
- Risk identification & mitigation planning
Data Infrastructure
Data Ingestion & Integration
- CRM, ERP & marketing platform connectors
- Real-time & batch ingestion pipeline design
- API & webhook integration architecture
- Data streaming with error handling & monitoring
Customer Data
Identity Resolution & Unified Profiles
- Cross-channel identity matching & deduplication
- Unified customer profile schema design
- Consent & privacy attribute management
- Real-time profile enrichment pipelines
Data Quality
Data Transformation & Modeling
- Data cleansing, normalization & standardization
- Salesforce standard data model alignment
- Custom calculated insights & derived fields
- Data validation rules & quality monitoring
Audience Activation
Segmentation & Real-Time Activation
- Dynamic segment builder configuration
- Behavioral trigger & event-based activation
- Multi-channel audience publishing setup
- Segment performance & overlap analytics
AI & Compliance
AI Enablement & Governance
- Agentforce agents-ready data foundation setup
- Consent framework & preference management
- Data quality rules for AI model accuracy
- Governance policies & audit trail configuration
Advanced Architecture
Zero-Copy Data Architecture
- Snowflake, BigQuery & AWS direct access setup
- Federated query & data sharing configuration
- Storage cost optimisation through data federation
- Cross-cloud data availability & latency tuning
Unify Data Across Your Technology Stack
Salesforce Data Cloud is built to work with the systems you already use. Connect data 360 from CRM, data warehouses, cloud providers, and more to create a connected data ecosystem.
Why Businesses Trust Us for Salesforce Data Cloud
Implementing Salesforce Data Cloud isn't new to us. Over the years, we've refined our approach and built the expertise needed to help businesses maximize the value of their data and technology investments.
Certified Salesforce Expertise
Work with experienced Salesforce professionals who understand Data Cloud architecture, integration patterns, customer data management, and AI-driven use cases.
Deep Salesforce Ecosystem Knowledge
From Sales Cloud and Service Cloud to Marketing Cloud, Commerce Cloud, and Agentforce, we understand how Data Cloud connects the entire Salesforce ecosystem.
Enterprise Integration Experience
Our team has experience connecting complex technology environments, including CRM, ERP, data warehouses, cloud platforms, and external business applications.
AI & Agentforce Readiness
We build trusted data foundations that enable AI models and Agentforce agents to access accurate, unified, and contextual customer information.
End-to-End Implementation Support
From strategy and architecture design to implementation, activation, and optimization, we support every stage of your Data Cloud journey.
Focus on Long-Term Success
Our engagement doesn't end after implementation. We help businesses maintain data quality, strengthen governance, and continuously optimize Data Cloud to support evolving business needs.
Stop Managing Data. Start Using It.
Transform disconnected information into customer intelligence that drives action across your business.
Questions We Hear Before Every Engagement
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Unstructured data includes emails, chat transcripts, documents, PDFs, notes, and other information that doesn’t fit a fixed format. Data Cloud processes this data using indexing and vector embeddings, making it searchable and usable for AI, analytics, and personalization.
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Salesforce Data Cloud helps organizations of all sizes. While large enterprises benefit from its ability to handle massive data volumes, small and mid-sized businesses can use Data Cloud to unify customer data, improve personalization, and power AI. Concretio helps tailor the implementation based on your data needs, not your company size.
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Implementation timelines vary depending on your data sources, complexity, and integration needs. Some businesses see an initial setup in a few weeks, while larger, multi-system implementations may take a few months. At Concretio, we follow a phased approach so you can start seeing value early.
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Yes. Salesforce Data Cloud follows enterprise-grade security, privacy, and compliance standards. While implementing the data cloud, Concretio follows the best practices to protect your sensitive information.
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Data Cloud operates on a consumption-based credit model. Poorly modeled data or inefficient data streams can cause unexpected credit spikes. At Concretio, our architects build optimized data pipelines, set up efficient data spaces, and implement strict governance frameworks to ensure you only pay for the data processing that actively drives business value.
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Data Cloud has a learning curve, particularly for teams new to Salesforce's data model and segmentation tools. At Concretio, we include onboarding and training sessions as part of our delivery to help your team build confidence, understand the platform's capabilities, and start extracting value quickly.

