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.

01 / ARCHITECTURE BLOCKERS

Endless Custom Integrations

High engineering costs are spent building and maintaining brittle, custom data pipelines.

02 / EXPERIENCE DISCONNECT

Fractured Customer Experiences

Siloed departments delivering inconsistent, repetitive, or out-of-date customer interactions.

03 / COGNITIVE BOTTLENECK

The AI Bottleneck

Ineffective AI models and automation are caused by feeding them stale, fragmented data.

04 / RISK EXPOSURE

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.

Business goals are translated into a clear Data Cloud roadmap by assessing existing data systems and defining the right architecture for long-term scalability. We help you avoid common pitfalls and start with a strategy grounded in your specific data ecosystem.
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Salesforce Data Cloud implementation begins by connecting CRM, ERP, marketing, commerce, and external systems into a unified data environment. We design reliable, scalable ingestion pipelines that keep your data flowing consistently across all platforms.
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Customer records across multiple systems are matched and unified to build accurate, real-time profiles that reflect a single view of each customer. Our implementation eliminates duplicate records and reconciles fragmented identities across all touchpoints.
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Data is cleaned, standardized, and structured to ensure consistency and readiness for analytics, segmentation, and AI-driven use cases. We model your data against Salesforce's standard data model to maximize compatibility and reuse across the platform.
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Dynamic audience segments are created and activated across marketing, sales, and service channels based on live customer behavior and intent. We configure real-time triggers that ensure your teams are always working with the most current customer signals.
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A strong data foundation is established to ensure AI models and Agentforce agents work with trusted, governed, and structured data. We implement consent frameworks, data quality rules, and governance policies that protect your data while enabling powerful AI use cases.
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External data sources such as Snowflake, BigQuery, and AWS are accessed directly without duplication, enabling real-time data use with reduced complexity. We architect federated data patterns that keep storage costs low while making data available exactly where it's needed.
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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
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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
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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
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Data Quality

Data Transformation & Modeling

  • Data cleansing, normalization & standardization
  • Salesforce standard data model alignment
  • Custom calculated insights & derived fields
  • Data validation rules & quality monitoring
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Audience Activation

Segmentation & Real-Time Activation

  • Dynamic segment builder configuration
  • Behavioral trigger & event-based activation
  • Multi-channel audience publishing setup
  • Segment performance & overlap analytics
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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
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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
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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.

Marketing Cloud
Service Cloud
Commerce Cloud
Snowflake
Tableau
BigQuery
AWS
Azure
Databricks
MuleSoft
External APIs

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.

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Latest Data Cloud Insights

Stop Managing Data. Start Using It.

Transform disconnected information into customer intelligence that drives action across your business.

Questions We Hear Before Every Engagement

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.