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# Salesforce Data 360 (formerly Data Cloud) Features

##### 
## Data Integration (6)

1st-Party Data Integration

Integration with ad servers, DSPs, and SSPs, and other data sources for in- and out-bound data transfer.

2nd-Party Data Integration

Allows user to combine first party data collected with additional first party data of strategic partners.

3rd-Party Data Integration

Breadth of standard integrations to third-party data providers.

Offline Data Integration

Able to easily integrate data from offline sources.

Mobile Data Integration

Able to easily integrate mobile data within the DMP platform.

Data Export Tools

Able to extract data from the DMP in bulk through a structured file.

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##### 
## Data Analysis & Optimization (4)

Audience Segmentation

Ease of segmenting user profiles into groups.

Recommendations

Analyzes data to find and recommend the highest value customer segmentations.

Standard Dashboards

Provides pre-built dashboards to aggregate and display data.

Custom Reports

Allows users to easily build customized reports and dashboards.

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##### 
## Platform (5)

Data Permissions

Able to set data permissions for strategic partners.

User, Role, and Access Management

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Performance and Reliability

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.

Enterprise Scalability

Provides features to allow scaling for large organizations.

Internationalization

Enables users to use the DMP in multiple languages.

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##### 
## Administration (7)

Data Modelling

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Recommendations

Analyzes data to find and recommend the highest value customer segmentations.

Workflow Management

Tools to create and adjust workflows to ensure consistency.

Dashboards and Visualizations

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Marketing Integrations

Integrates with marketing software to assist with the creation of targeted marketing campaigns

Ad Integrations

Integrates with digital advertising platforms to optimize and target ad campaigns

Data Exporting

Allows users to export audience data into different formats

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##### 
## Compliance (4)

Sensitive Data Compliance

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Training and Guidelines

Provides guidelines or training related to sensitive data compliance requirements,

Policy Enforcement

Allows administrators to set policies for security and data governance

Compliance Monitoring

Monitors data quality and send alerts based on violations or misuse

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##### 
## Data Quality (3)

Data Preparation

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Data Distribution

Facilitates the disseminating of collected big data throughout parallel computing clusters

Data Unification

Compile data from across all systems so that users can view relevant information easily.

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##### 
## Data Sourcing (4)

Data Enrichment

Uses external data sources to improve customer profiles.

Expandability

Can be updated to accept new sources and types of data.

Content Marketing

Can act as a content marketing platform.

Multiple Devices

Can engage with customers across any device with a consistent message.

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##### 
## Intelligence (3)

Marketing Metrics

Provides analysis of marketing program ROI and efficiency.

Predictive Modeling

Predicts outcomes based on statistical models; can give insight to "what-if" scenarios.

Recommendation Engine

Uses artificial intelligence to provide suggestions based on desired outcomes.

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##### 
## Audiences (4)

Audience Insights

Delivers in-depth, actionable insights on audience demographics, interests, affinities, and behaviors

Influencer Identification

Helps users identify influencers or thought leaders within their target audience

Buyer Personas

Identifies or creates customer profiles and personas

Segmentation

Offers tools for building custom audience segments

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##### 
## Data Analysis (4)

Network Analysis

Identifies and visualizes how audience segments relate to one another

Dashboards

Offers customizable dashboards and reports

Visualizations

Allows users to visualize and interact with data to gain deeper insights

Advanced Filtering

Allows users to drill down or slice and dice audience data with filters

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##### 
## Management (9)

Business Glossary

Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.

Data Discovery

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

Data Profililng

Monitors and cleanses data with the help of business rules and analytical algorithms.

Reporting and Visualization

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console.

Data Lineage

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

Hierarchy Management

Captures and manages data hierarchy and definitions.

Reference Data Management

Helps integrate external and internal reference data such as industry codes, entity identifiers, country codes etc used to categorize information across systems.

Data Lineage

Helps understand the origination and route of data along with the transformations happening across various domains.

Metadata Management

Provides context and information for data assets stored across domains and ensures adherence to established policies and processes.

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##### 
## Security (5)

Access Control

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Roles Management

Helps identify and manage the roles of owners and stewards of data.

Compliance Management

Helps adhere to data privacy regulations and norms.

Data Governance

Encompasses of policies, principles and qualities to promote access to accurate and certified master data.

Data Masking

Helps mask or hide critical information to prevent unauthorized access.

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##### 
## Maintainence (2)

Data Quality Management

Defines, validates, and monitors business rules to safeguard master data readiness.

Policy Management

Allows users to create and review data policies to make them consistent across the organization.

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##### 
## Functionality (4)

Multi-Domain

Centralizes the management of multiple domains of master data which includes product, customer, vendor, asset, location and pricing.

Match & Merge

Matches master data records and merges them into a single accurate record across source systems.

Relationship Mapping

Shows relationships between records and entries, defined in a repository model.

User Interface

Provides a simple customizable design environment to develop custom UIs using simple drag and drop actions.

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##### 
## Generative AI (2)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

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##### 
## Agentic AI - Firewall Software (2)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Adaptive Learning

Improves performance based on feedback and experience

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##### 
## Agentic AI - Data Governance (6)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Audience Intelligence Platforms (4)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Proactive Assistance

Anticipates needs and offers suggestions without prompting

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##### 
## Agentic AI - Data Management Platform (DMP) (6)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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## Top-Rated Alternatives

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Salesforce Data 360 (formerly Data Cloud) Comparisons

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4.5/5

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Insider One

4.8/5

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Microsoft Dynamics 365 Customer Insights

4/5

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## Consulting Services for Salesforce Data 360 (formerly Data Cloud)

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Tectonic

3/5

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##### Categories on G2

[
Customer Data Platform (CDP)
](https://www.g2.com/categories/customer-data-platform-cdp)[
Data Governance
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Audience Intelligence Platforms
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[
Master Data Management (MDM)
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Identity Resolution
](https://www.g2.com/categories/identity-resolution)[
Data Management Platform (DMP)
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Data Management Software
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