Back to Salesforce OverviewDATA CLOUD
The Data Foundation Every Cloud and Every Agent Runs On
Every system's data, unified into one real time profile that Einstein, Agentforce, and every Salesforce cloud can act on.
Capability mapData Cloud
Data Unification
Ingestion & Integration
Segmentation & Activation
Governance & Trust
Our Approach
Data Cloud Built Around Where Your Data Actually Lives
AI is only as good as the data underneath it, and most enterprises have that data scattered across a dozen disconnected systems. Data Cloud closes that gap, harmonizing records from every source in real time, and every implementation we run is architected around your actual systems, not a hypothetical single source of truth.
Connected to your systems as they exist today, not a rebuild
Real time harmonization that Einstein draws on directly
The data foundation every other Salesforce cloud depends on to work as intended
By the Numbers
Delivered by certified Data Cloud specialists, measured on outcomes.
50+Salesforce projects delivered
30+certified Salesforce experts
15+Countries served
4.8★Average Salesforce AppExchange rating
Key Challenges
Does Every System Tell You a Different Story?
Fragmented Customer DataEvery system has its own version of the truthSales, service, marketing, and third party tools all hold different pieces of the same customer, with no way to reconcile them.
Stale or Batch Updated DataDecisions made on yesterday's informationNightly syncs mean AI and teams act on data that's already out of date.
No Single Customer ViewSame customer, five different recordsDuplicate and unmatched records make personalization and service inconsistent.
AI Built on Incomplete DataEinstein and Agentforce guessing, not knowingWithout unified data, even the best AI models make decisions on partial information.
Capability Deep Dive
Everything Data Cloud Can Do, Configured For Where Your Data Lives
From data unification through ingestion, segmentation, and governance, each capability is implemented against your existing systems and measured on data accuracy and freshness.
Data Unification
Identity ResolutionMatches and merges customer records across systems automatically.
Real Time Data HarmonizationData from every connected source updates continuously, not on a nightly batch.
Data Model MappingYour existing data structures mapped into a unified model without forcing a rebuild.
Ingestion & Integration
Any Source IngestionConnects to CRM, ERP, e-commerce, and third party platforms without custom pipelines for each one.
Streaming & Batch Data SupportReal time streams and batch loads handled in the same platform.
Segmentation & Activation
Real Time SegmentationAudiences built on live behavior, not a weekly export.
Cross Cloud ActivationSegments and profiles usable directly inside Marketing, Sales, and Service Cloud without duplicating data.
Governance & Trust
Data Governance & Privacy ControlsConsent, retention, and access rules enforced at the data layer.
Data Quality MonitoringOngoing visibility into match rates, duplicates, and data health.
Related Services
Where this fits in the wider practice
Data Cloud ImplementationUnifying your customer data into one real time platformExplore →Org Health & OptimizationAudits for orgs where data quality is undermining AI and reportingExplore →Agentforce & Einstein AIGrounding AI agents and predictions in unified, real time dataExplore →Integration & MuleSoftConnecting Data Cloud to source systems beyond Salesforce's native connectorsExplore →
Process
Our Data Cloud Delivery Steps
01DiscoveryWe map every system holding customer data today, so the unification model reflects your actual data landscape, never a generic schema.
02Architecture & RoadmapA data model, identity resolution strategy, and phased rollout your team can maintain.
03Build & ValidateSprint based configuration with your team validating match rates and profile accuracy at every increment.
04Rollout & AdoptionRole based enablement and a hypercare period, success measured in data quality and activation, not just go live.
Equipped with the Latest Data Cloud Tools
Data CloudEinsteinIdentity ResolutionCalculated InsightsData Streams & ConnectorsData Model Mapping / HarmonizationSegmentation & Activation StudioData SpacesZero-Copy Integration (BYOL/BYOC)Data Governance & Consent ManagementMuleSoft / API IntegrationsIngestion APIs (batch & streaming)
Client Voices
What our clients say about working with us
“DevsinC is a great team to work with, they know their tech very well and provide amazing solutions to complex problems.”
“We have had a wonderful experience working with the whole team at DevsinC. We've worked with a number of Salesforce partners over the years, and have found DevsinC to be extremely easy to work with. They are reliable, communicative, very knowledgeable and skilled, and have a lot of integrity.”
Insights
View All InsightsCase studies, guides, and perspectives from our Data Cloud work
Case StudyPending[Data Cloud implementation, industry TBD]Placeholder, pending real project data
Case StudyPending[Cross cloud unification project, industry TBD]Placeholder, pending real project data
E-bookThe Salesforce Maturity ModelFind out which of the 5 stages your data foundation is actually in, and what moving up one stage requires.Download →ArticleVibe-Coded CRMs Promise to Replace Salesforce for Free. Here's What It Actually Costs by Year Three.A weekend of AI-assisted building looks free in month one. Here is what it costs by year three.Read More →Industries Served
Explore MoreHelping every industry to excel in digital world
Travel & Hospitality
Retail & CPG
Oil, Gas & Energy
Banking & Finance
FAQs
Let's talkFrequently Asked Questions
Still unsure how this maps to your org? A certified architect will answer it directly.Is Data Cloud the same as a traditional CDP?
Similar in purpose, unifying customer data, but Data Cloud is natively built into Salesforce, so unified profiles are immediately usable inside Sales, Service, and Marketing Cloud without exporting data anywhere.
Do we need Data Cloud if we already have Sales and Service Cloud?
Yes, if your data lives across systems beyond Salesforce, or if AI features like Einstein and Agentforce need more complete information than what's captured in a single cloud.
How long does data unification usually take?
Initial identity resolution and core system connections typically take 8 to 12 weeks, with ongoing refinement as more sources connect.
Can Data Cloud connect to non-Salesforce systems?
Yes. Data Cloud ingests data from ERPs, e-commerce platforms, and third party tools, both in real time streams and batch loads.
Does better data actually improve Agentforce and Einstein results?
Yes, directly. AI predictions and agent decisions are only as accurate as the data they're grounded in, unifying that data is usually the single highest leverage fix for underperforming AI features.
Data Cloud
Ready to Give Every Cloud and Every AI Agent the Same Complete Picture of Your Customer?
Tell us where you are today and where it needs to go.✓Bring your current setup and the outcome you need
✓One free assessment mapping the fastest path forward
✓A named Devsinc lead, not a rotating sales queue