Scattered customer data is costing you revenue. We implement Salesforce Data Cloud to unify every profile, resolve identities in real time, and power AI-driven personalisation across every channel.
The Reality
Your teams aren't failing because they lack talent. They're failing because every system holds a different version of the customer. These problems compound — and they're costing you revenue, trust, and competitive advantage.
CRM, marketing, e-commerce, support — every team has a different version of the customer. Nobody trusts a single number.
The same customer appears 5 times across your systems. Campaigns hit them 5 times — or miss them entirely.
By the time your data is ready, the customer has already moved on. Day-old data means day-late decisions.
Marketing sees one profile, sales sees another, service sees a third. The customer experience feels disconnected because it is.
Everyone calculates CLV differently. There's no governed, trusted metric — just spreadsheets and gut feelings.
A customer just abandoned a high-value cart. Your system won't know for 24 hours. By then, they've bought from a competitor.
Consent records are scattered, deletion requests take weeks, and nobody can prove GDPR compliance under pressure.
You invested in Einstein, Agentforce, and AI copilots — but they return generic answers because they can't access unified customer data.
Our Expertise
Dynamically link fragmented customer data across every system into a single, living profile — resolving identities with deterministic and probabilistic matching.
Ingest data from any source in real time — Salesforce CRM, AWS, GCP, Azure, Snowflake, and connectors — without moving or duplicating data.
Build computed metrics like lifetime value, churn risk, and engagement scores — then activate segments across every Salesforce Cloud in real time.
Power Agentforce agents and Einstein AI with unified data — while maintaining enterprise-grade governance, compliance, and consent management.
Data Cloud + AI
Data Cloud isn't just a CDP — it's the intelligence layer for your entire Salesforce ecosystem. From powering Agentforce agents to grounding Einstein Copilot, we build the unified data foundation that makes AI actually work.
Explore AI CapabilitiesData Cloud provides the unified data foundation that powers every Agentforce agent — ensuring AI responses are grounded in real, complete customer data.
AI-powered segmentation automatically identifies high-value customer segments based on behavioural patterns, purchase history, and engagement signals.
Trigger personalised actions the moment customer behaviour changes — from email journeys to sales alerts to service escalations.
Give Einstein Copilot access to unified customer profiles so every AI-generated insight and recommendation reflects the full customer picture.
Data Cloud Ecosystem
Data Cloud doesn't operate in isolation. We connect unified customer profiles to every Salesforce Cloud and external platform — so every team acts on the same, real-time customer data.
+ native connectors via Data Cloud ingestion APIs and zero-copy partners
Our Process
Map every customer data source, assess data quality, and identify the highest-value use cases for unified profiles.
Design the Data Cloud schema, identity resolution rules, and zero-copy connectors aligned to your data strategy.
Implement Data Cloud with real-time ingestion, identity resolution, calculated insights, and cross-cloud activation.
Configure AI models, build dynamic segments, and activate unified profiles across Sales, Marketing, Service, and Commerce Clouds.
Establish data governance policies, consent management, and ongoing optimisation to maintain data quality at scale.
Case Study
A multi-brand retail group with 25M+ customers across 5 brands. Customer data was trapped in 12 separate systems with no unified view. We implemented Data Cloud with identity resolution across all brands, built real-time segments, and activated personalised journeys — reducing campaign setup from weeks to hours.
40%
Faster time-to-insight
25M+
Unified customer profiles
12→1
Single data platform
5×
Faster campaign setup
Faster time-to-insight
Unified · Real-Time · AI-Ready
How We Work
Pick the model that fits where you are. All engagements include a dedicated Data Cloud lead and a clear outcome definition.
Ideal for: Teams exploring Data Cloud or needing a readiness check
Comprehensive data landscape audit, identity resolution readiness review, and Data Cloud roadmap with use case prioritisation.
Ideal for: Organisations ready to build or migrate to Data Cloud
End-to-end Data Cloud build including identity resolution, data ingestion, calculated insights, AI activation, and cross-cloud integration.
Ideal for: Teams that want expert-managed Data Cloud operations
Continuous data quality monitoring, segment optimisation, new data source onboarding, and governance management.
Common Questions
Salesforce Data Cloud is a hyperscale data engine integrated into the Salesforce platform. It unifies structured and unstructured data from your CRM, marketing platforms, data warehouses, and external sources into a single real-time customer profile. That profile is then accessible across every Salesforce cloud (Sales, Service, Marketing, Commerce) and becomes the data foundation for Agentforce agents and AI activation.
Five core capabilities: unified customer profiles and identity resolution (matching anonymous, known, and CRM identities into a single record); real-time data ingestion and architecture across Snowflake, Databricks, AWS, GCP, and MCI; Calculated Insights and segmentation for reusable audiences; AI activation and governance — pushing the profile into Einstein, Agentforce, and external destinations; and intelligent context delivery for autonomous agents.
Traditional CDPs (Segment, Tealium, mParticle) handle identity and activation but stop short of native Salesforce integration. Data warehouses (Snowflake, Databricks) store data brilliantly but don't natively activate it into Marketing, Sales, Service, or Agentforce. Data Cloud sits in the middle: a CDP-grade identity + activation engine, natively integrated with Salesforce, with zero-copy access to your warehouse via Snowflake / Databricks federation. You don't replace your warehouse — Data Cloud sits on top.
A focused Data Cloud foundation (3–5 source systems, basic identity resolution, one activation use case) runs 10–14 weeks. A full enterprise rollout with 8+ sources, complex identity resolution, multiple Calculated Insights, and Agentforce integration runs 4–6 months. The biggest variable is data quality at the source — every implementation starts with a data audit so timelines aren't fiction.
Excellent — that makes Data Cloud faster, not slower. Data Cloud supports zero-copy data federation with Snowflake, Databricks, AWS Redshift, and Google BigQuery, meaning Salesforce can query your warehouse in real time without physically duplicating data. We typically design hybrid architectures where Data Cloud handles identity + activation, your warehouse holds the analytical workloads, and the two stay synchronised. Best of both, no rip-and-replace.
We're one of the few firms certified across Salesforce Data Cloud AND the broader data platform stack (Databricks Premier Partner, Snowflake Select Partner). 200+ data projects delivered, 85+ Salesforce certifications across the six clouds. Our FDE engineers embed inside your data team — they understand both the Salesforce side (where activation happens) and the warehouse side (where the truth lives). Most Data Cloud failures come from gaps between those two worlds; we don't have that gap.