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Data 360

Data 360

Unify your customer data from every source into a single, actionable profile. Data 360 ingestion, identity resolution, segmentation, and activation.

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 360 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 360 environments that don't just store data. They make it work.

What We Build

Data Architecture & Modeling

We design your Data 360 instance from the bottom up: which data streams to ingest, how to model your Data Model Objects, what identity resolution rules to apply, and how to structure Calculated Insights.

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.

Real-Time Segmentation

Dynamic audience segments that respond to behavior as it happens. A customer who just abandoned checkout gets a different experience immediately.

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.

AI & Agentforce Readiness

We structure your Data 360 foundation so every AI agent has accurate, complete, real-time customer context.

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.

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 360 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
  • Marketing segmentation moves from static lists to live behavioral audiences
  • Revenue leakage identified through cross-line-of-business analysis
  • AI models get better training data, improving prediction accuracy over time

Typical Engagement Phases

Sprint Zero & Data Audit: Data source inventory, identity resolution strategy, DMO mapping, consent and compliance review, and activation roadmap.

Ingestion & Unification: Data stream connections, Data Model Object configuration, and identity resolution rules.

Segmentation & Activation: Dynamic audience segments, Calculated Insights, Marketing Cloud Journey activation, and Service Cloud routing integration.

Cross-Platform Activation: Agentforce agent grounding, Advertising Studio audience sync, advanced Tableau analytics, and production hardening.

Technology

Salesforce Data 360, Data Streams, Identity Resolution, Calculated Insights, Segmentation & Activation, Einstein Studio, Amazon S3 Connector, Snowflake Connector, Google BigQuery Connector, MuleSoft, Marketing Cloud Connector, CRM Analytics, Tableau

Ready to Transform?

Let's Build Something
Extraordinary

Whether you're launching a new Salesforce org or untangling legacy systems, we bring clarity, speed, and the expertise that delivers.

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