One
Real-Time Customer Profile
Every Data Source. Every Cloud. Every Action.
Facilegators helps organisations unify fragmented customer data from every source into a single, actionable profile using Salesforce Data Cloud — powering smarter marketing, faster service, and more intelligent sales across your entire Salesforce ecosystem.
Why Salesforce Data Cloud?
You already have enormous amounts of customer data. The problem is it lives in a dozen different systems — and none of them talk to each other in real time. Salesforce Data Cloud changes that entirely.
What is Salesforce Data Cloud?
Salesforce Data Cloud is a real-time customer data platform (CDP) built natively on Salesforce. It ingests, harmonises, and resolves customer identities across every data source — CRM records, web behaviour, mobile events, transaction systems, data warehouses, and third-party platforms — into a single unified customer profile that every Salesforce cloud can act on instantly.
The Problem It Solves
Most organisations hold customer data in five to fifteen separate systems — a CRM, a data warehouse, a marketing platform, an e-commerce platform, a support tool, and a mobile app — none of which share a common customer identifier. Data Cloud resolves those identities, harmonises the data into a single model, and makes every insight available across every Salesforce cloud in real time, without moving or copying the underlying data.
Zero-Copy Architecture
Data Cloud's zero-copy integration with Snowflake, Databricks, Google BigQuery, and Amazon Redshift means you can query and activate petabytes of warehouse data directly inside Salesforce — without expensive ETL pipelines, duplicate storage costs, or the data staleness that comes with nightly batch syncs. Your data stays where it lives; Salesforce simply reads and acts on it.
Real-Time Identity Resolution
A single customer may appear as five different records across your systems — an email address in your CRM, a cookie in your web analytics, a loyalty ID in your e-commerce platform, and a phone number in your support tool. Data Cloud's probabilistic and deterministic identity resolution engine merges all five into one unified profile automatically — giving every team a single, trusted view of every person.
Einstein AI on a Unified Data Foundation
Einstein AI models are only as good as the data they train on. With Data Cloud providing a complete, real-time customer profile as the foundation, Einstein can predict churn with genuine accuracy, recommend the next best action with full behavioural context, and personalise every message based on signals captured moments ago — not last night's batch export.
Activate Across Every Salesforce Cloud
Data Cloud does not just store data — it activates it. Unified profiles and real-time segments flow directly into Marketing Cloud for campaign personalisation, Service Cloud for agent context, Sales Cloud for opportunity scoring, and Experience Cloud for portal personalisation — making every Salesforce cloud dramatically more intelligent without rebuilding any of them.
Data Cloud Capabilities
Eight specialised practice areas. One mission: turn every customer data source your organisation owns into a real-time competitive advantage.
Data Cloud Strategy & Readiness
Before connecting a single data source, Facilegators audits your current data landscape — source systems, data quality, identity keys, governance policies, and activation use cases — and delivers a Data Cloud adoption roadmap aligned to your highest-value business outcomes.
Data Ingestion & Pipeline Build
Design and implement ingestion pipelines from every source system — CRM, e-commerce, mobile, web analytics, ERP, and data warehouse — using native Data Cloud connectors, MuleSoft, and the Ingestion API, with schema mapping, field-level transformations, and incremental refresh strategies built in from the start.
Identity Resolution & Data Harmonisation
Configure probabilistic and deterministic identity resolution rules that merge duplicate customer records across every source system into a single, trusted unified profile — eliminating fragmented data, ghost records, and the personalisation failures that come from treating one customer as ten.
Data Model & Schema Design
Design a robust Data Cloud data model — covering individual, household, account, and product objects — that maps accurately to your business entities, supports your segmentation use cases, and scales cleanly as new data sources are added over time without requiring a schema rebuild.
Audience Segmentation & Activation
Build real-time audience segments in Data Cloud using hundreds of profile attributes, behavioural signals, and calculated insights — then activate those segments directly into Marketing Cloud, Advertising Studio, Service Cloud, and Sales Cloud without any manual export or import step.
Einstein AI & Predictive Insights
Activate Einstein's predictive scoring — including churn propensity, next best action, lifetime value prediction, and product affinity — on top of your unified Data Cloud profiles, surfacing actionable intelligence across Marketing, Sales, and Service Cloud in real time.
Zero-Copy & Data Warehouse Integration
Connect Data Cloud to your Snowflake, Databricks, BigQuery, or Redshift environment using zero-copy federation — querying warehouse data in place without duplication, eliminating ETL cost and latency, and making your existing data investments instantly available for Salesforce activation.
Data Cloud Analytics & Measurement
Build CRM Analytics dashboards that surface unified profile completeness, identity resolution quality, segment size trends, and cross-cloud activation performance — giving your data team the visibility to continuously improve data quality and prove the business impact of every Data Cloud investment.
The Facilegators Difference
Senior data architects, CDP-certified consultants, and an obsession with activation outcomes — not ingestion pipeline counts or profile volumes.
Salesforce Expertise
Crest Partner status. 150+ certified consultants including Data Cloud specialists, CRM Analytics architects, and Marketing Cloud integration experts who have delivered unified data platforms across B2C, B2B, and financial services environments at enterprise scale.
Outcome-Led Approach
We start every Data Cloud engagement by defining the activation use cases that will drive measurable ROI — churn reduction, conversion lift, support deflection — and work backwards to the ingestion, modelling, and identity resolution decisions that make those outcomes possible.
Data Quality First
A unified profile built on dirty data is worse than no profile at all. Facilegators embeds data quality assessment, cleansing rules, and completeness monitoring into every implementation — ensuring the profiles powering your Einstein models and audience segments are accurate, complete, and trustworthy.
Full Ecosystem Architecture
Data Cloud is not a standalone product — it is the data layer that makes every other Salesforce cloud smarter. Facilegators designs the end-to-end activation architecture across Marketing, Sales, Service, and Experience Cloud, so you see compounding returns across every team, not just the one that owns the CDP licence.
Fast Time to First Value
Pre-built ingestion connectors, validated data models, and agile sprint delivery mean your first unified profiles are live and activating real audience segments within weeks — not the multi-quarter timelines typical of custom CDP builds or data warehouse migration projects.
Industry Experience
We have delivered Data Cloud and CDP implementations for retail, financial services, healthcare, SaaS, manufacturing, and media businesses across 14 countries. Complex identity graphs, regulated data environments, and petabyte-scale warehouses — your data challenge is not new to us.
Our Implementation Process
Five proven phases built for data complexity. Structured to deliver your first activated segments before the full platform is complete.
Discovery
We inventory every source system, assess data quality, map existing customer identifiers, review governance and compliance requirements, and define the top five activation use cases that will deliver measurable ROI — before a single ingestion connector is configured.
Architecture & Data Model Design
We design the Data Cloud data model, identity resolution ruleset, ingestion strategy, calculated insights framework, and cross-cloud activation architecture — producing a complete technical blueprint reviewed and approved before build begins.
Segmentation & Activation
We build your priority audience segments, configure real-time activation into the target Salesforce clouds, set up calculated insights and Einstein models, and validate that every downstream cloud is receiving the right profile data in the right format.
Optimisation
Post-launch, we monitor profile completeness, identity resolution quality, segment performance, and activation impact — running quarterly expansion sprints that add new data sources, new use cases, and new Einstein models as your business data maturity grows.
Frequently Asked Questions
Straight answers to the questions every data, marketing, and technology leader asks us before starting a Salesforce Data Cloud engagement.
What is the difference between Salesforce Data Cloud and a traditional data warehouse?
A data warehouse is optimised for storage, historical reporting, and SQL-based analytics — it is not designed to activate data in real time across operational systems. Salesforce Data Cloud is a real-time customer data platform built for activation — ingesting data from warehouses and other sources, resolving customer identities, building unified profiles, and pushing those profiles directly into Marketing Cloud, Sales Cloud, Service Cloud, and Experience Cloud without any additional export, transform, or load step. Data Cloud and your data warehouse are complementary, not competing systems. Facilegators commonly connects both in the same architecture using zero-copy federation.
Do we need to replace our existing data warehouse or marketing platform to use Data Cloud?
No. Data Cloud is designed to work alongside your existing data infrastructure, not replace it. Using zero-copy architecture, Data Cloud can query data directly in Snowflake, Databricks, BigQuery, or Redshift without duplication. It also connects to Marketing Cloud, Commerce Cloud, and external marketing platforms as activation destinations. Facilegators designs every Data Cloud architecture to maximise the value of your existing investments — including the tools your teams use today.
How does Data Cloud handle data privacy and consent management?
Salesforce Data Cloud includes native consent and preference management capabilities that can be configured to honour opt-out signals, data residency requirements, and purpose-based consent across every activation channel. Facilegators works with your legal and compliance teams during the discovery phase to map every data processing purpose, configure consent propagation rules, and ensure that Data Cloud's identity resolution and segmentation logic respects all applicable data privacy regulations including GDPR, CCPA, and regional equivalents.
How long does a typical Data Cloud implementation take?
A foundational Data Cloud implementation — covering three to five source system ingestions, identity resolution configuration, a unified profile data model, and initial audience segmentation activated into Marketing Cloud — typically takes 10–16 weeks. More complex engagements involving zero-copy warehouse integration, Einstein predictive model activation, cross-cloud deployment across Marketing, Sales, and Service Cloud, and multi-region data governance typically range from 18–28 weeks. Facilegators uses a phased delivery model so your first activated audience segments are live and measurable from week eight onwards.