Salesforce Data 360 (formerly Data Cloud) Features

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

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

Breadth of standard integrations to third-party data providers.

Able to easily integrate data from offline sources.

Able to easily integrate mobile data within the DMP platform.

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

Ease of segmenting user profiles into groups.

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

Provides pre-built dashboards to aggregate and display data.

Allows users to easily build customized reports and dashboards.

Able to set data permissions for strategic partners.

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

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

Provides features to allow scaling for large organizations.

Enables users to use the DMP in multiple languages.

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

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

Tools to create and adjust workflows to ensure consistency.

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

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

Integrates with digital advertising platforms to optimize and target ad campaigns

Allows users to export audience data into different formats

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

Provides guidelines or training related to sensitive data compliance requirements,

Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

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

Facilitates the disseminating of collected big data throughout parallel computing clusters

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

Uses external data sources to improve customer profiles.

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

Can act as a content marketing platform.

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

Provides analysis of marketing program ROI and efficiency.

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

Uses artificial intelligence to provide suggestions based on desired outcomes.

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

Helps users identify influencers or thought leaders within their target audience

Identifies or creates customer profiles and personas

Offers tools for building custom audience segments

Identifies and visualizes how audience segments relate to one another

Offers customizable dashboards and reports

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

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

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

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

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

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

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

Captures and manages data hierarchy and definitions.

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

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

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

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

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

Helps adhere to data privacy regulations and norms.

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

Helps mask or hide critical information to prevent unauthorized access.

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

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

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

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

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

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Improves performance based on feedback and experience

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives