Customer Journey Analytics Guide

Content Analytics allows you to quickly and easily investigate large volumes of content data to uncover trends, spot anomalies, identify content fatigue, and gain insights from content exposure.

Shared metrics and dimensions provide a central location to manage dimensions and metrics that can be used across any number of data views. These components are especially valuable to organizations that use multiple data views, especially if those data views share common component settings.

AI Assistant is a conversational experience that allows practitioners to perform tasks at a fast pace - whether its understanding concepts, troubleshooting problems, or searching through information. It also allows non-experts to perform expert tasks and increases the overall quality of work.

Guided Analysis is now available directly from within Analysis Workspace, enabling users to create dashboards with comprehensive insights from panels, visualizations, and guided analyses.

Intelligent captions are now supported, with additional interface improvements, for Line (including multi-line), Bar, Horizontal bar, Area (including multiple Area lines), Donut, Fallout, and Flow visualizations.

Alerts allow you to be notified based on changed percentages or specific data points. You can preview how often an alert will trigger, send alerts by email or SMS, create stacked alerts, and more.

Allows you to bring in time-series data that does not have a person ID. This time-series data can be used to support various use cases, such as

• Presenting high-level performance indicators as part of or next to event-level data.
• Uploading targets or goals at an hourly or daily basis, then positioning these targets or goals against event-level metrics.

Through Graph-based stitching, you can use the identity graph from the Experience Platform Identity Service to get a better view of the customer journey by:

• Joining datasets with different identifiers without having to extract, transform and load additional data to reflect a single identifier.
• Improving coverage of preferred or golden identity for a single dataset by sharing identities across datasets,
• Aligning profiles created in Real-Time Customer Data Platform and Journey Optimizer with people in Customer Journey Analytics.

You must have the Prime package for graph-based stitching.

The BI extension enables SQL access to the data views that you have defined in Customer Journey Analytics. You can now use your favorite BI tool (Power BI Desktop, Tableau Desktop, Looker, Juyter Notebook, and RStudio) to create reporting and dashboards based on the same data views that Customer Journey Analytics users use with their Analysis Workspace projects. Use cases are provided.

You must have the Select package or higher to use the BI extension.