
Salesforce Data 360
Salesforce Data 360 enables seamless data integration and real-time customer profiles to enhance decision-making and personalization across Salesforce applications. Its zero-copy architecture simplifies data management, allowing teams to unify and activate data efficiently.
About
Salesforce Data 360 enables seamless data integration and real-time customer profiles to enhance decision-making and personalization across Salesforce applications. Its zero-copy architecture simplifies data management, allowing teams to unify and activate data efficiently.
Salesforce Data 360 (formerly Data Cloud) is an enterprise data platform built natively on the Salesforce ecosystem that serves as the connective tissue for modern, AI-driven organizations — unifying data from disparate sources such as data lakes, warehouses, CRMs, and third-party applications into a single, real-time view of the business. At its core, the platform constructs comprehensive Customer 360 profiles by ingesting, harmonizing, and segmenting data across every touchpoint, enabling teams to understand and act on customer behavior with far greater precision than traditional siloed approaches allow. A standout capability is its Zero Copy architecture, which allows organizations to query and activate data directly from existing storage environments like Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric without physically moving or duplicating data — dramatically reducing cost and operational complexity. Data 360 is purpose-built to power AI agents and automation workflows within Salesforce Agentforce, grounding intelligent agents in trusted, real-time business context so they can make smarter decisions across sales, service, marketing, and commerce use cases. The platform is best suited for mid-to-large enterprises across industries such as retail, financial services, healthcare, and manufacturing, particularly those with complex data ecosystems and teams — including data architects, marketing operations leaders, and CX strategists — who need to break down data silos, personalize customer experiences at scale, and accelerate their AI initiatives without overhauling existing infrastructure.
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Data Governance Tools
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