One profile. Every signal. Real-time activation.
Data Cloud is the grounding layer for Agentforce, Einstein and every channel of engagement. We architect ingestion, identity resolution, calculated insights and zero-copy federation for real-time activation.
What Salesforce offers on Data Cloud.
Data Cloud is Salesforce's real-time customer data platform. It ingests streaming and batch data, harmonises it to the Customer 360 data model, runs identity resolution to build Unified Profiles, computes Calculated Insights, federates zero-copy with Snowflake, BigQuery, Databricks and Redshift, and activates segments and Data Actions into marketing, service, commerce and Agentforce.
What we hear from Data Cloud leaders.
- 01Every AI, marketing and service initiative now depends on Data Cloud — but ingestion, identity and activation aren't landed.
- 02Zero-copy federation with Snowflake / Databricks / BigQuery is a board expectation, not a POC.
- 03Consumption cost is climbing without governance on ingestion, calculated insights and activations.
Where Data Cloud programmes get stuck.
Identity resolution rules produce low match rates and fragmented profiles.
Zero-copy federation with Snowflake, Databricks or BigQuery is misconfigured or unused.
Data Cloud is treated as a passive CDP rather than the activation layer for Agentforce and Marketing.
Consumption costs spiral without governance on ingestion, calculated insights and activations.
Where we automate Data Cloud — end to end.
Every engagement targets a specific set of automation and AI plays, scoped so value shows up in weeks — not quarters.
Identity resolution automation
Deterministic + probabilistic match rulesets tuned for high match rates.
Streaming ingestion & data actions
Real-time events triggering journeys, agents and Flows in under a second.
Zero-copy federation
Live query against Snowflake, BigQuery, Databricks, Redshift — no duplication.
Calculated insights & segments
Reusable metrics and segments powering marketing, service and Agentforce.
What we deliver on Data Cloud
Identity Resolution & Unified Profiles
Deterministic and probabilistic matching across sources.
Zero-Copy Integration
Federate with Snowflake, BigQuery, Databricks and Redshift.
Calculated Insights & Streaming
Real-time metrics and event ingestion for activation.
Data Actions & Activation
Trigger flows, journeys and agents from any signal.
Reusable assets we bring to your Data Cloud programme.
Battle-tested blueprints, reference builds and diagnostics that compress discovery and de-risk delivery from day one.
Data Cloud Foundation Kit
Reference data model, ingestion patterns, identity ruleset and activation blueprints.
Zero-Copy Federation Blueprint
Snowflake / Databricks / BigQuery / Redshift federation patterns with governance.
Consumption Cost Guardrails
Governance model for ingestion, calculated insights and activations with FinOps dashboards.
Systems we routinely wire into Data Cloud.
MuleSoft-led API architecture with reference connectors and reusable patterns across the systems your teams already rely on.
Which edition fits.
Data Cloud Starter
Included entitlement with Einstein 1 SKUs — good for first activation and identity resolution.
Data Cloud + Zero Copy
Scale tier for federation with Snowflake / Databricks / BigQuery; sized on credits consumed.
Legacy → target state.
- 01Legacy Customer 360 Audiences → Data Cloud with modern identity and activation.
- 02External CDP (Segment, mParticle, Tealium) → Data Cloud with zero-copy where useful.
- 03Warehouse-only architectures → Data Cloud zero-copy federation on Snowflake / Databricks / BigQuery.
A four-stage delivery model.
See the full methodology for artefacts, cadences and governance at each stage.
Discover
Two-week diagnostic on your Data Cloud landscape, org health and target outcomes.
Design
Reference architecture, data model and phased roadmap signed by a Principal Architect.
Deliver
Agile pods with embedded architects, hypercare and change enablement built in.
Evolve
Managed services, evals and quarterly value reviews to compound the return.
Where Data Cloud moves the P&L.
We frame every Data Cloud programme against three impact vectors — so the business case survives beyond go-live.
- Revenue
89% profile match rate
Faster cycles, higher conversion and more productive teams operating on Data Cloud.
- Cost to serve
<1s signal to activation
Automation, AI deflection and consolidation of overlapping tools and processes.
- Time to value
12 sources unified typical
Fixed-price discovery, reusable accelerators and Principal Architect leadership from day one.
How CRMPRACTICE engages
Every engagement starts with a fixed-price discovery — a Principal Architect leads a 2-week diagnostic and delivers a de-risked roadmap before any build begins. See engagement models for commercial options.
- 01Data Cloud architecture & implementation
- 02Identity resolution ruleset design
- 03Zero-copy federation with your lakehouse
- 04Activation for marketing, service and agents
Model the Data Cloud business case.
Model warehouse egress avoidance, unification value and downstream activation lift.
Risk reflects change-management complexity, integration surface and AI governance load — CRMPRACTICE accelerators reduce this on delivery.
- Assumes Snowflake, BigQuery or Databricks as source of truth.
- 30% attribution on activation revenue.
Directional model for early business cases. CRMPRACTICE will validate with your data during discovery.
Ready to accelerate your Data Cloud programme?
Speak with a Principal Architect about your roadmap, current state and success metrics.
Book a consultation