One customer.Every system.
We implement Data 360, formerly Data Cloud, to unify customer data from Salesforce, ERP, billing and product systems and put it to work in segments, insights and AI agents.
PartnerCertified Salesforce consultants on every engagement.
Customer data usually lives in five places that disagree. Sales has one address, billing another, support a third. Reports get argued about, and AI has nothing reliable to stand on.
Data 360 can fix that, but only with a clear model and a reason for every data stream. Consumption-based pricing punishes loading everything to see what happens. We design for the outcome first.
What aData 360 rollout covers.
Use case and value mapping
The segments, insights and agent actions the business needs, ranked by value, before any data is ingested.
Data streams and modeling
Connectors for Salesforce orgs, cloud storage, warehouses and APIs, mapped to Data Model Objects.
Identity resolution
Match and reconciliation rules that build unified profiles without merging people who should stay separate.
Calculated insights
Metrics such as lifetime value, product usage or churn signals, calculated once and reused across clouds.
Activation
Segments and insights pushed to Marketing Cloud, Sales and Service Cloud, and ad platforms where it makes sense.
Grounding for AI
Structured and unstructured data prepared so Agentforce agents retrieve accurate, permission-aware answers.
How it runs.
Phased so you see value early, with the harder parts hardened behind it.
Map
Use cases, sources and owners agreed; consumption estimated.
Model
Data streams and Data Model Objects designed and mapped.
Unify
Identity resolution and calculated insights built and validated.
Activate
Segments, insights and AI grounding switched on, one use case at a time.
What wework with.
The Salesforce products and tools this practice is built on.
- 01Data 360Unified customer data
- 02Data StreamsIngest from any source
- 03Data Model ObjectsHarmonized data model
- 04Identity ResolutionUnified profiles
- 05Calculated InsightsReusable metrics
- 06SegmentationAudiences for activation
- 07Zero CopyWarehouse data in place
- 08AgentforceAI agents on the platform
- 09MuleSoftAPI-led integration
- 10TableauAnalytics and dashboards
Commonquestions.
Is Data Cloud the same as Data 360?
Yes. Salesforce renamed Data Cloud to Data 360 in October 2025. The product and its core concepts, such as data streams, data model objects and identity resolution, carry over.
Do we need to copy our data warehouse into Data 360?
Not always. Zero Copy integrations let Data 360 work with data in platforms such as Snowflake, Databricks and Google BigQuery without duplicating everything. We decide case by case on latency, cost and governance.
How is Data 360 priced?
It uses consumption-based credits, so cost depends on how much data you process and how often. We estimate consumption during design so the bill is not a surprise.
Find out what your data can do.
Share the systems you run and the decisions you want to make. We will show you what a focused Data 360 rollout looks like.