Salesforce 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.

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.

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

Data Enrichment: Based on 28 Salesforce Data Cloud reviews. Uses external data sources to improve customer profiles.
Expandability: As reported in 28 Salesforce Data Cloud reviews. Can be updated to accept new sources and types of data.
Content Marketing: Based on 27 Salesforce Data Cloud reviews. Can act as a content marketing platform.
Multiple Devices: Based on 27 Salesforce Data Cloud reviews. Can engage with customers across any device with a consistent message.

Marketing Metrics: Provides analysis of marketing program ROI and efficiency. This feature was mentioned in 27 Salesforce Data Cloud reviews.
Predictive Modeling: As reported in 26 Salesforce Data Cloud reviews. Predicts outcomes based on statistical models; can give insight to "what-if" scenarios.
Recommendation Engine: Based on 26 Salesforce Data Cloud reviews. Uses artificial intelligence to provide suggestions based on desired outcomes.

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.

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.

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.

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

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