- Overview
- Understanding Customer Journey Analytics
- New Terms and Concepts
- Architecture and Integrations
- Working with Data
- Connect to Data Sources in Platform
- Basic configuration for Data Views
- Configure component settings in Data Views
- Component type settings in Data Views
- Formatting metrics in Data Views
- Include or exclude metric values in Data Views
- Creating value buckets in Data Views for analysis
- Include or exclude dimension values in Data Views
- Configure No Value options in Data Views
- Attribution Settings in Data Views
- Understanding How CJA Uses Identity
- Add Past Data to an Existing Connection
- Create Cross-Channel Visualizations
- Cross-Channel Attribution
- Introduction to Calculated Metrics in Customer Journey Analytics
- Move your Calculated Metrics from Adobe Analytics to Customer Journey Analytics
- Introduction to Filters
- Create Cross-Channel Filters
- Move Adobe Analytics Segments to Customer Journey Analytics
- Blueprints
Documentation
Working with Data in Customer Journey Analytics
In this video, you will learn how dataset schemas are translated into variables in Customer Journey Analytics (CJA), as well as how CJA handles very high cardinality.
For more information about Customer Journey Analytics, visit the documentation.
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