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Data Cloud

The layer that unifies customer data from every source: the real-time single profile that feeds marketing, service and AI.

FOCUS · THE SINGLE CUSTOMERIdentity resolution and a real-time profile: the end of the customer in seven copies
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01 · What it is

Data Cloud, made clear.

Data Cloud ingests customer data from everywhere — CRM, e-commerce, ERP, web, data warehouse (also via zero-copy from BigQuery/Snowflake) — and reconciles it into a single profile updated in real time. It's the fuel of segmentations, journeys and above all of AI: Agentforce answers well if it knows the whole customer.

Zero-copy
the warehouse queried in place: no umpteenth copy of the data
Identity
the reconciliation: mario.rossi@, M.Rossi and the customer code are ONE
Real-time
the profile updated at the click: the journey reacts immediately
Data Cloud
OFFICIAL SALESFORCE BRANDING · DATA CLOUD
INTERFACCIA REALE · DATA 360 CON AGENTFORCE · FONTE: SALESFORCE
REAL INTERFACE · DATA 360 WITH AGENTFORCE · SOURCE: SALESFORCE
02 · How to use it well

The things that make the difference.

The data flow

Marketing, service, AI, analyticswho consumes the profile
Ingestion & zero-copy
Identity resolution
Calculated insights
collect · unify · enrich
The unified profilethe truth about the customer
CRM, ERP, web, DWHwhere the data is born
From seven copies to one customer

Mapping the sources

Which systems hold pieces of the customer and with what quality: the snapshot before the plumbing.

Honest match rules

Identity resolution tuned on YOUR data: the false merge is worse than the duplicate.

Consents at the center

Preferences and GDPR inside the profile: lawful personalization.

Measured activation

Segments toward journeys and ads with KPIs: the unified data must produce results, not slides.

03 · In depth

The unified profile: how it's built

Data Cloud ingests from CRM, web, mobile, e-commerce and data warehouses (with zero-copy toward Snowflake/BigQuery/Databricks: the data federates, it doesn't get copied), harmonizes on the standard model, resolves identities (deterministic and probabilistic identity resolution) and computes insights (calculated insights, real-time segments). The profile feeds every Salesforce cloud, Agentforce and the external activations (ads, personalization).

  • Zero-copy — the warehouse federated without duplicating: BigQuery and Snowflake as live sources
  • Identity resolution — the rules that merge the profiles: the customer one, at last
  • Calculated insights — LTV, propensities and KPIs computed on the profile: ready to use
  • Real-time segments — updated by events: the audience that moves with the customer
  • Activation — segments toward ads, mail and personalization: data that acts
  • AI foundation — Agentforce and Einstein read from here: AI on the unified data
04 · Numbers and lifecycle

The numbers that matter.

0
copies with zero-copy: the data stays where it is
real-time
segments and events: the nightly batch retired
1
one profile per customer: the basis of any serious AI
PB
the ingestion scale on Hyperforce
The CDP is a data project, not a license: sources, identity rules and use cases designed by us — the single profile that pays off.
05 · Use cases

Where it really pays off.

Personalization

Offers and journeys on the real customer, not on the fragment.

The complete service view

The operator sees the whole customer: orders, cases, value.

Foundations for AI

Agentforce and Einstein rest here.

AI on the customer is worth as much as the profile it reads: Data Cloud builds it, we connect it to the systems.