Adobe Customer Journey Analytics Features

Data governance

Give teams across the organization secure and controlled access to customer data with an extensible, patented data governance framework that provides comprehensive controls for establishing and maintaining use and access compliance, while meeting customer expectations for privacy and personalization.

Data governance tools

Keep your data and analytics operations compliant as your privacy policies evolve using tools for holistic consent management, patented data labeling, policy creation, and data usage enforcement.

Labeling and cataloging. Create, manage, and enforce data usage policies with data labeling and cataloging capabilities and out-of-the-box templates that are customizable to meet your needs.
Alerts and policies. Prevent users from activating sensitive data with clear policies and labels that help ensure violations don’t occur. In-product usage alerts also notify you of attempted policy violations.
Transparency. View the algorithms used to process and model your data so you understand and have confidence in the results.
Adobe Experience Platform Data Mirror. Sync your data warehouse — including Snowflake, Google BigQuery, Databricks — with Customer Journey Analytics to maintain data integrity and governance across systems, minimize discrepancies, and help ensure compliance with government standard.

Multiple data use restriction tags being selected

Healthcare ad with user interface of privacy settings

Permissions

Set and enforce detailed role-based permissions and data access for appropriate team members so they can collaborate without sacrificing customer privacy.

Specific permissions. Grant user and group permissions, including edit-, duplicate-, view- and read-only.
Granular access control. Manage user and group access down to individual data element levels.

Reporting activity manager

Monitor and manage system reporting capacity to get ahead of overages and identify anomalies for further investigation.

Capacity diagnosis. Self-diagnose and fix capacity issues during peak reporting times.
Reporting queue prioritization. Optimize the reporting queue and free up capacity by prioritizing requests.
Request restrictions. Restrict future requests for a specified period of time.