Ingestion & connectivity
Connectors, APIs, bulk loads, and integration architecture, including monitoring and ownership per source.
Salesforce Data 360 · Implementation partner
Unify customer data for CRM, analytics, AI & journeys
- Connect & integrate sources
- Harmonise identities & models
- Govern consent & policy
- Activate for Sales, Service, Marketing Cloud & analytics
SynconAI implements Salesforce Data 360 (formerly Data Cloud): one governed customer layer spanning Salesforce, finance, operations, and marketing systems, so reporting, journeys, and automation pull from the same facts.
Outcome: Faster segmentation cycles, fewer reconciliation debates in steering forums, and AI-ready entities your teams actually trust, plus credible activation paths into Marketing Cloud where your contracts allow. Certified Salesforce partner · Australia & the USA.
- Integration & data architecture
- Identity & governance
- AI-ready data foundation
Boardroom-ready Salesforce delivery
Senior Salesforce architecture, implementation, and governance without the consulting theatre.
0
Years of experience
0
Salesforce certifications
0
Weeks to go live
0
Enterprise sources onboarded in typical phase-one scope
Platform lifecycle
Salesforce platform lifecycle (Connect → Activate)
How Salesforce frames connect, harmonise, govern, segment, and activation. Zero-copy data integration and consumption targets depend on edition and architecture; we validate what your tenant can run.
Scope of delivery
What We Deliver for Data 360
End-to-end support for Salesforce Data 360 / Data Cloud: strategy and phased roadmaps, source inventory and integration patterns, identity resolution, governance, and activation into Sales Cloud, Service Cloud, Marketing Cloud, CRM Analytics, and Agentforce-ready workflows.
Programs stall when connectors ship without governance and adoption, we engineer all three on one roadmap.
Harmonisation & identity
Unified profiles, matching rules, and data models aligned to how your organisation defines customers and accounts.
Governance & trust
Classification, consent, retention, and access patterns that satisfy risk and compliance stakeholders.
Activation & consumption
Segments, insights, and data products for CRM, journeys, CRM Analytics, and AI use cases.
MuleSoft & enterprise integration
Patterns with MuleSoft or your iPaaS for reliable, observable integration with ERP, warehouse, and SaaS.
AI & Agentforce readiness
Entity design and governed data products so automation and AI draw on consistent facts.
Strategy, value case & phased roadmap
Executive-ready narratives: prioritised use cases, KPIs, dependency mapping, and stage gates, so programs secure funding and don’t collapse under “everything at once.”
Partnership criteria
Why SynconAI for Data 360?
We combine platform expertise with program discipline, so your data layer survives go-live and scales with new sources and use cases.
Source-to-subject expertise
CRM, ERP, warehouse & APIsPractical patterns for integrating the systems you already run.
Certified team
Architecture & integrationCertified consultants across platform, integration, and clouds.
Operational handover
Runbooks your team can ownDocumentation, monitoring, and ownership, not black-box delivery.
Cross-functional alignment
IT, data, marketing & opsOne reference model that stakeholders can defend together.
Governance by design
Privacy & accessBuilt for audit questions, not retrofitted after launch.
Partner for the long term
Roadmap beyond go-liveBacklog for new sources, segments, and AI use cases.
Diagnostics
Data Challenges We Solve
If your reporting, segmentation, or AI initiatives keep stalling on data, a Data 360 program with SynconAI can give you a clear path.
Many systems, one customer
CRM, ERP, and marketing each tell a different story; no trusted single view.
Weak identity resolution
Duplicates and weak matching undermine segments and personalisation.
Consent & policy gaps
Unclear usage rules for sensitive data; marketing and risk at odds.
Brittle integrations
Jobs fail silently; nobody owns reconciliation or alerts.
Slow time-to-insight
Manual extracts for every campaign or board pack; analytics always late.
AI without a substrate
Agentforce or Einstein pilots blocked by messy entities and fields.
Unclear program scope
No sequenced roadmap; every source treated as equally urgent.
CRM vs warehouse tension
Uncertainty on what lives where, and how Snowflake/BigQuery fits.
Business distrusts the data
Teams revert to spreadsheets because numbers never match.
Turn fragmented sources into a roadmap your steering committee can approve, we scope pilots and phases in discovery.
Book a Data 360 discovery callWhere teams feel Data 360 pressure first
Industry contexts we ship against
Regulators, channel complexity, and product hierarchies change the integration pattern, not the lifecycle. Explore how SynconAI engages by vertical; Data 360 work stays anchored to Connect · Harmonise · Govern · Activate.
Financial services
Identity, consent, and lineage narratives audit teams ask for, without slowing campaigns.
View practice areaHealthcare & life sciences
Segmentation and care journeys where privacy classifications gate activation paths.
View practice areaRetail & consumer goods
High-volume identities, promos, and store/e-commerce joins feeding loyal customer models.
View practice areaManufacturing & engineering
ERP, distributor, and CRM alignment so revenue and service teams share one account truth.
View practice areaCommunications & media
Subscription lifecycles and product holdings where identity graphs get noisy fast.
View practice areaCommercial & business services
Multi-entity B2B hierarchies and project accounting feeds feeding CRM opportunity truth.
View practice areaHow we engage
Engagement options
Choose how you want to start, from a focused assessment to a full Data 360 rollout. We tailor scope after discovery.
Discovery & roadmap
Best for clarity before you commit
Short engagement
Source inventory
- Use cases and success measures
- Integration topology options
- Identity & governance gaps
- Phased roadmap & estimates
Implementation program
Design, build, activate
Project-based
Fixed or T&M
- Connector & mapping delivery
- Model, identity, calculated insights
- Activation to CRM & marketing
- Go-live, training & handover
Managed evolution
After go-live
Retainer
New sources & use cases
- Backlog for integrations & quality
- Segment & dashboard iterations
- Release alignment with Salesforce
- Optional pairing with managed services
Prefer to talk through sources and timelines first? Send a short brief, we reply within one business day.
Get in touchDelivery method
How we deliver Data 360
Aligned with how Salesforce describes the product lifecycle, connect, harmonise, govern, activate, with delivery discipline your teams can run after handover.
-
Discover
Sources, volumes, compliance context, and use cases. Agree priorities and success measures.
-
Connect
Integration patterns per system: contracts, SLAs, error handling, and observability.
-
Harmonise
Data model, identity rules, and reconciliation, signed off by business and IT.
-
Govern
Policies for classification, consent, retention, and access; embedded in the platform.
-
Activate
Segments, insights, and consumption in Salesforce apps, automation, and analytics.
-
Operate
Runbooks, ownership, backlog for new sources, so quality does not drop after launch.
What “good” looks like after launch
Outcomes teams align on
Every program defines KPIs in discovery; these are the themes executives and architects converge on when Data 360 is done responsibly, not vanity adoption scores.
Segmentation lead time drops
Marketing and analytics stop rebuilding the same cuts from spreadsheets because governed segments and traits live in-platform, with approvals your risk team can trace.
Exec forums trust the numbers
Finance, ops, and CX debate decisions, not whose dashboard is “more correct”, because identity rules and source ownership are documented where leadership can see them.
AI pilots inherit clean entities
Einstein and Agentforce experiments attach to nouns your business recognises (customer, contract, asset) instead of improvising on brittle extracts.
We finally stopped arguing about whose customer count was right. Data 360 gave our risk and marketing teams one reconciled profile narrative, and our board numbers matched what ops saw in Salesforce.
Further reading
Resources for your Data 360 journey
Deep dives on integration, AI readiness, and platform guides, plus official Salesforce product pages for Data 360 / Data Cloud.
Salesforce: Data 360
Official product overview and capabilities.
Salesforce DataProduct guide
How Salesforce positions unified customer data.
Read the guideIntegration patterns
Architecture thinking for connected systems.
Integration GuideAI-ready data
Foundations for Einstein and Agentforce.
Agentforce GuideAgentforce services
Consulting and implementation for autonomous agents on Salesforce.
SynconAI Agentforce servicesData integration
How Salesforce talks about connecting applications and warehouses.
Data integrationZero-copy connectivity
Federated patterns where Salesforce positions live access without duplicate stores.
Zero-copy overviewData governance
Classification, policy, and trust framing aligned to Data 360 programs.
Governance guideCustomer data platform
Industry definition context next to Salesforce Data / Marketing data products.
What is a CDPFrequently asked questions
Straight answers about Salesforce Data 360 / Data Cloud and how SynconAI engages.
What is Salesforce Data 360?
Salesforce markets Data 360 (often still called Data Cloud in docs) as a unified data platform on the Salesforce Platform. Public materials describe how data is connected from many sources, harmonised into unified profiles and models, governed with policies and consent, then activated across Salesforce clouds for analytics, automation, and AI. See Salesforce Data for the latest positioning.
How does Salesforce describe how Data 360 works?
Salesforce’s public pages group the lifecycle into themes such as connect data from applications and warehouses, harmonise identity and reference models, govern usage and compliance, and activate segments and insights for customer experiences and AI. Start with their guide and how it works pages.
How is Data 360 different from using CRM alone?
CRM holds day-to-day customer records and workflows. Data 360 brings together CRM, finance, marketing, operations, warehouses, and APIs so reporting, segments, and AI draw from one consistent, governed customer data layer.
How long does a Data 360 implementation take?
Duration depends on the number of sources, data quality, and regulatory requirements. A focused pilot can deliver value in weeks; broader rollouts are planned after discovery. SynconAI provides timelines based on scope rather than generic promises.
Can non-Salesforce systems connect to Data 360?
Yes. Common patterns include APIs, integration platforms (such as MuleSoft), bulk loads, and supported connectors. See Salesforce on data integration for how they frame connectivity. Each connection should have clear ownership, monitoring, and error handling.
How does Data 360 work with Marketing Cloud?
Data 360 harmonises customer profiles and signals for activation inside Salesforce. Governed segments and attributes commonly feed journeys and personalisation in Marketing Cloud (and related Salesforce apps) so campaigns use the same customer facts your analysts trust. What you can enable depends on editions, entitlements, and architecture, SynconAI validates this during discovery.
Can Data 360 work alongside our data warehouse?
Yes. Many enterprises keep Snowflake, BigQuery, or similar warehouses while using Data 360 for unified profiles and activation inside Salesforce. Salesforce publishes evolving integration options and licensing guidance by release. SynconAI helps you decide what belongs in the warehouse versus Data 360, then designs sync, ownership, and observability so both stay coherent.
Are Salesforce Data Cloud, Data 360, and a CDP the same thing?
Not exactly. Customer data platform is a broad industry category; Salesforce packages unified customer data as Data 360 (many documents still refer to Data Cloud). See also Marketing Cloud data products. Naming and licensing evolve by release, SynconAI aligns vocabulary with your contracts and Salesforce documentation during discovery.
What data foundations do Einstein and Agentforce need from Data 360?
Trusted entities and identifiers, governed fields, consent-aware usage, and freshness or lineage SLAs so predictions and Agentforce agents rely on facts your business recognises, not one-off extracts assembled for demos.
Who owns the data warehouse versus Data 360?
Typically the warehouse remains the analytical system of record while Data 360 owns unified profiles and Salesforce activation paths. SynconAI documents RACI for ingestion, reconciliation, and monitoring so both coexist without competing truths.
Do we still need an enterprise CDP if we standardise on Data 360?
It depends on channels, latency requirements, and existing licences. Some organisations consolidate Salesforce-centric activation on Data 360 and retain specialist tools elsewhere, we map overlap instead of assuming rip-and-replace.
Ready to unify your customer data?
Book a Data 360 discovery call. We’ll respond within 24 hours, or start a chat with a certified expert now.
Get in touch
Serving organisations across Australia and the USA. Send your details and we’ll contact you within 24 hours to discuss Salesforce Data 360 / Data Cloud strategy, implementation, and governance.
Fast follow-up: We aim to respond within one business day. No spam, your details go straight to our consulting team.
No obligation. Questions? contact@synconai.com
What happens after you hit send
- Acknowledgement: You receive confirmation your request reached our consulting inbox (check spam folders).
- Discovery call: We propose a short Data 360 discovery session with an architect to clarify sources, stakeholders, and success measures.
- Proposal or workshop: You get a written path, often phased, with RACI, estimates, and optional workshop options tailored to your steering cadence.