CUSTOMER DATA PLATFORM
Salesforce Data 360
Consulting & Implementation
Data 360 (formerly Data Cloud) is the real-time data foundation that powers every modern Salesforce product — from Agentforce to Marketing Cloud Next. We help you build it right the first time: unified profiles, smart ingestion architecture, and activation that drives measurable ROI.
Request Your Free Audit
Fill out the form below and we’ll be in touch within 24 hours.
The Three Cs of a Successful Data 360 Implementation
Data 360 is not plug-and-play. Consistency, connectivity, and cost determine whether your implementation delivers ROI or drains your budget.
Consistency — Data Modeling Is Everything
Data 360 unifies customer profiles across every system into a single real-time view. Identity resolution, schema design, and ingestion strategy determine whether that unified profile is trustworthy and actionable — or bloated and slow.
Connectivity — Real-Time When It Counts
Data 360 supports streaming, batch, API, and zero-copy integration with Snowflake, Databricks, and Google BigQuery. Choosing the right mode for each data source is critical — real-time is powerful but expensive; batch is cost-efficient but introduces latency.
Cost — Consumption-Based, Every Action Counts
Data 360 is usage-based: you pay for rows ingested, profiles unified, segments refreshed, and activations triggered. Without careful architecture, even elegant builds can burn through budget. We start small and scale with ROI evidence.
+2,000%
ROI reported by FedEx after implementing Data 360 with real-time AI activation
#1
Ranked CDP for marketers by Salesforce — the only real-time CDP native to CRM
3
Zero-copy data warehouse partners: Snowflake, Databricks, Google BigQuery
∞
Data sources — any cloud, any warehouse, any streaming event, any API
CAPABILITIES
What Data 360 Enables
Data 360 is the connective tissue across every Salesforce cloud — and the data foundation your AI and automation depend on.

Unified Customer Profiles
Merge data from every Salesforce cloud, external warehouse, and third-party source into a single, real-time customer profile across all touchpoints.

Real-Time Streaming Ingestion
Ingest behavioral, transactional, and event data as it happens — enabling personalization and Agentforce grounding that’s always current.

Zero-Copy Data Integration
Activate data from Snowflake, Databricks, and Google BigQuery without moving or duplicating it — queried in place through federated architecture.

Identity Resolution
Match records across systems using configurable match rules — resolving anonymous, known, and partially-identified customers into unified profiles.

Clean Rooms & Privacy-Safe Collaboration
Collaborate with partners on shared audience insights without exposing raw customer data — enabling co-marketing and data partnerships with full privacy controls.

AI & Agentforce Grounding
Data 360 is the foundation that makes Agentforce intelligent — giving AI agents access to the full, unified customer context they need to take the right actions.
Revenue Cloud is one of the most data-hungry products in the Salesforce ecosystem — quote accuracy, renewal forecasting, and contract risk all depend on a complete view of the customer that no single CRM record holds in isolation. When Cloud Nexus builds revenue operations on a unified Data 360 foundation, the quote-to-cash flow can pull real-time product usage, support history, and financial signals into pricing logic — turning Revenue Cloud from a static configurator into a context-aware revenue engine.
Your AI is only as smart as your data
Without Data 360, Agentforce agents only see the record currently open in Salesforce. With Data 360, agents reason over a complete, real-time customer profile — full interaction history, behavioral signals, multi-cloud data — enabling dramatically more accurate and contextual decisions.
Data 360 is also the foundation for Marketing Cloud Next, Einstein personalization, and virtually every new Salesforce AI capability. Organizations building on Data 360 now are building the platform for everything Salesforce ships next.
Learn about our Agentforce practice →
Agentforce without Data 360
Sees only the current CRM record

Agentforce with Data 360
Sees full unified profile: every interaction, purchase, support case, and behavioral signal across every system
Data 360 also powers
OUR SERVICES
How We Help With Data 360
Data 360 Readiness Assessment
Before writing a single data stream, we evaluate your current data sources, CRM quality, and business goals to design an architecture that fits your actual use case and budget.
Data Ingestion Architecture
We design ingestion pipelines across Salesforce clouds, external systems, and streaming sources — choosing the right mode (real-time, batch, zero-copy) for each.
Identity Resolution Design
We configure match rules and reconciliation logic to build unified profiles that are accurate without over-merging — the most technically nuanced part of any Data 360 project.
Segmentation & Activation
We build calculated insights, segments, and activation flows that push unified data to Marketing Cloud, Sales Cloud, Agentforce, and external platforms.
Agentforce Data Grounding
We connect Data 360 to Agentforce so your AI agents reason over complete, real-time customer profiles — not just the record that’s open on the screen.
Ongoing Optimization & Governance
We monitor usage, tune ingestion schedules, archive stale data objects, and build governance processes to keep your Data 360 org healthy and cost-efficient.
MEET THE EXPERT
Certified Data 360 Expertise on Your Team
Our team includes Gaurish Goel, a Salesforce Certified Application Architect, Data Cloud Accredited Professional, and Agentforce Specialist who has built production Data 360 implementations across multiple orgs — including identity resolution, multi-source ingestion, and Agentforce grounding architectures.
Meet the full team →
Gaurish Goel
Salesforce Certified Application Architect
FAQ
Common Questions About Data 360
What is Salesforce Data 360?
Data 360 (formerly Data Cloud) is Salesforce’s real-time customer data platform. It unifies data from every Salesforce cloud, external warehouses (Snowflake, Databricks, BigQuery), and third-party sources into a single, real-time customer profile — then activates that data across Marketing Cloud, Agentforce, Einstein, and every modern Salesforce product.
How is Data 360 different from a data warehouse or traditional CDP?
Traditional CDPs are marketing-only and batch-oriented. Data warehouses store data but don’t activate it. Data 360 is both: a real-time CDP native to your CRM with zero-copy integration to your warehouse — meaning you don’t move or duplicate data, and unified profiles update as events happen, not overnight.
Do I need Data 360 if I already have Salesforce?
If you only use Sales Cloud and Service Cloud for transactional CRM, no. But if you want Agentforce agents to reason over complete customer context, if you want personalization across Marketing Cloud and Commerce, or if you want to unify data from multiple Salesforce orgs and external systems, Data 360 is the foundation that makes those use cases possible.
Is Data 360 expensive?
It can be — it’s consumption-based, so you pay for rows ingested, profiles unified, segments refreshed, and activations triggered. Done poorly, it burns budget. Done well, it pays for itself many times over. We always start with a scoped readiness assessment and architect for cost efficiency from day one, scaling consumption only as ROI is proven.
What data sources can Data 360 connect to?
Effectively any source. Native connectors for every Salesforce cloud, zero-copy federation with Snowflake, Databricks, and Google BigQuery, streaming ingestion for behavioral and event data, plus standard batch, API, and file-based ingestion for everything else. The architectural decision isn’t whether you can connect a source — it’s which mode is right for each one.
How does Data 360 power Agentforce?
Data 360 is what makes Agentforce agents intelligent. Without it, agents only see the record that’s currently open. With Data 360 grounding, agents reason over the complete, real-time customer profile — full interaction history, behavioral signals, multi-cloud data — enabling dramatically more accurate, contextual, and useful agent decisions.
———— GET STARTED ————
Ready to Unify Your Customer Data?
Whether you’re starting from scratch or untangling a messy implementation, we’ll build a Data 360 foundation that actually scales.
