Data Cloud

The Data Problem That's Blocking Everything Else

You're emailing customers who just called to cancel. Your support agents don't know what your customer bought last week. Your AI initiative stalled because the data it needs is scattered across a CRM, a data warehouse, a marketing platform, and six other systems that have never talked to each other.

Salesforce Data Cloud is the Customer Data Platform at the center of the Salesforce ecosystem. It ingests data from every source, resolves it into unified customer profiles in real time, and activates those profiles across every cloud. Digital Mass designs and builds Data Cloud environments that don't just store data — they make it work.

What We Build

From raw ingestion to real-time segmentation, we build the data foundation that makes every other Salesforce product — AI, personalization, and cross-cloud activation — actually work.

Data Architecture & Modeling

We design your Data Cloud from the ground up: which data streams to ingest, how to model your Data Model Objects (DMOs), what identity resolution rules to apply, and how to structure Calculated Insights so downstream AI and segmentation actually have what they need.

Unified Customer Profiles

Probabilistic and deterministic identity resolution stitches together CRM, web behavioral, transactional, mobile, and third-party data into a single profile per customer — one that updates in real time as behavior changes, not overnight in a batch.

Real-Time Segmentation

Dynamic audience segments that respond to behavior as it happens. A customer who just abandoned checkout, just called support, or just crossed a spend threshold gets a different experience immediately — not in the next campaign cycle.

Activation Across Clouds

Push segments directly into Marketing Cloud Journeys, Service Cloud routing rules, Sales Cloud list views, and Advertising Studio audiences. No CSV exports. No manual uploads. No lag between insight and action.

AI & Agentforce Readiness

Agentforce agents are only as good as the data they're grounded in. We structure your Data Cloud foundation so every AI agent has accurate, complete, real-time customer context — making every agent interaction informed and relevant.

Data Governance & Compliance

Consent management, CPRA/GDPR compliance hooks, field-level security, data retention policies, and audit trails designed before the first data stream is connected — not retrofitted after a compliance incident.

Common Pain Points We Solve

• "We have data everywhere but no single source of truth."
• "Marketing is emailing customers who just called to cancel."
• "Our AI initiative stalled because our data isn't clean or unified."
• "We're exporting CSVs between platforms to do basic segmentation."
• "We bought Data Cloud licenses but don't know where to start."

Outcomes

• Customers receive relevant, timely messages instead of duplicate, irrelevant outreach
• Support agents see full customer context at the moment of contact — not after a hold
• Marketing segmentation moves from static lists to live behavioral audiences
• Revenue leakage identified through cross-line-of-business opportunity analysis
• AI models get better training data, improving prediction accuracy over time

Typical Timeline

A foundational Data Cloud implementation runs 8–12 weeks. Full activation across Agentforce, advertising platforms, and multiple clouds adds 4–8 weeks.

Weeks 1–3: Sprint Zero & Data Audit

Data source inventory, identity resolution strategy, DMO mapping, consent and compliance review, and activation roadmap. We define what "unified" looks like before connecting a single data stream.

Weeks 4–7: Ingestion & Unification

Data stream connections (native Salesforce, Snowflake, S3, and external sources), Data Model Object configuration, and identity resolution rules that produce clean, reliable unified profiles.

Weeks 8–10: Segmentation & Activation

Dynamic audience segments, Calculated Insights, Marketing Cloud Journey activation, and Service Cloud routing integration — your unified data starts working across every touchpoint.

Weeks 11–16: Cross-Platform Activation

Agentforce agent grounding with unified profiles, Advertising Studio audience sync, advanced Tableau analytics, and production hardening for full-scale deployment.

Technology

Salesforce Data Cloud · Data Streams (native + external) · Identity Resolution · Calculated Insights · Segmentation & Activation · Einstein Studio · Amazon S3 Connector · Snowflake Connector · Google BigQuery Connector · MuleSoft · Marketing Cloud Connector · Tableau