- Customer Journey Analytics Guide
- Release Notes
- Getting Started
- Customer Journey Analytics and Adobe Analytics
- Evolution from Adobe Analytics
- User Guide for Adobe Analytics users
- Comparison with Adobe Analytics
- Utilize Adobe Analytics data in Customer Journey Analytics
- Customer Journey Analytics feature support
- Compare terminology for Analytics data passed through the Analytics Source Connector
- Compare data processing across Adobe Analytics and CJA
- Virtual reporting environments and sandbox environments
- Processing Rules, VISTA and classifications versus Data Prep
- AAID, ECID, AACUSTOMID and the Analytics Source Connector
- Data Ingestion
- Connections
- Data Views
- Workspace projects
- Analysis Workspace overview
- Perform basic analysis
- Perform advanced analysis
- Projects
- Visualizations
- Visualizations overview
- Manage data sources
- Freeform table
- Cohort Table
- Fallout
- Flow
- Area and area stacked
- Bar and bar stacked
- Bullet graph
- Combo chart
- Donut
- Histogram
- Horizontal Bar and Horizontal Bar Stacked
- Intelligent captions
- Key metric summary
- Line
- Scatterplot
- Summary Number and Summary Change
- Text
- Tree map
- Venn
- Panels
- Curate, Share and Schedule projects
- Virtual Analyst
- User preferences
- Workspace FAQs
- Analytics dashboards
- Guided analysis
- Components
- Components overview
- Add component descriptions
- Annotations
- Audiences
- Dimensions
- Metrics
- Filters
- Calculated metrics
- Calculated metrics overview
- Calculated metrics workflow
- Calculated metrics workflow
- Find metrics
- Build metrics
- Metric type and attribution
- Build a “Page Views per Visits” metric
- Build a “Participation” metric
- Filtered metrics
- Stack and replace filters
- Filtered and weighted metrics
- Use functions
- Tag calculated metrics
- Approve calculated metrics
- Share calculated metrics
- Calculated metric manager
- Default calculated metrics
- Basic functions
- Advanced functions
- Calendar and date ranges
- Data Dictionary
- Report Builder
- Cross-Channel Analytics
- Adobe integrations
- Data Governance
- Use cases
- Administration
- Labs
- Troubleshooting
- CJA glossary
- CJA API
Virtual Analyst
Virtual Analyst, a set of features part of Customer Journey Analytics, uses predictive algorithms and machine learning to deliver insights into anomalies impacting your business. It lets you automate the most common and expensive data science workflows to identify what’s driving unusual behaviors in your data.
Features
Virtual Analyst in Customer Journey Analysis consists of Anomaly Detection:, which provides a statistical method to determine how a given metric has changed in relation to previous data.
Contribution Analysis and Intelligent Alerts are not yet available in Customer Journey Analysis.
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