Salesforce Data 360 Description

Salesforce Data 360 is a real-time enterprise data engine designed to transform disconnected data into actionable intelligence. It unifies customer and operational data from multiple systems into a comprehensive business view. Using Zero-Copy architecture, organizations can activate live data directly from their existing warehouses without duplication. The platform supports both structured and unstructured data, including text, images, and streaming events. Identity resolution and data harmonization tools create consistent, reliable customer profiles. Governance features enforce privacy policies and compliance rules automatically. Data 360 enables dynamic audience segmentation and predictive modeling for smarter decision-making. Teams can trigger automated workflows based on real-time data changes. Insights can be shared securely with marketing platforms, analytics tools, and data warehouses. Data 360 empowers enterprises to activate trusted data across every channel and department.

Integrations

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Company Details

Company:
Salesforce
Year Founded:
1999
Headquarters:
United States
Website:
www.salesforce.com/data/

Media

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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

Salesforce Data 360 Features and Options

Data Management Software

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Governance Software

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Data Management Platforms (DMP)

Ad Network Integration
Analytics / ROI Tracking
Audience Targeting
Behavioral Analytics
CRM
Campaign Management
Competitive Analysis
Customer Journey Mapping
Data Capture / Transfer
Data Classification
Data Visualization

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