• VALIDATION
  • INVENTORY
  • DISCOVERY
  • HUMAN

How to audit data view metadata with your AI

Connect your AI to Adobe Customer Journey Analytics once. From there, your agent handles the heavy lifting of inspecting your data view setups.

Ask AI about this page

Short answer

How can I audit my CJA data view metadata using AI?

Your AI pulls the exact dimension and metric lists tied to your data views. This lets you spot missing fields or configuration errors without clicking through the Adobe interface. You'll get a clear breakdown of your metadata structure.

Audit outcomes

What you'll find

The AI scans your configuration to produce these specific results.

VALIDATION

Configuration checks

The AI compares your expected schema against the actual dimensions and metrics found in your data views. You'll see exactly where your setup matches or deviates from your plan.

INVENTORY

Metadata lists

Your agent generates clean lists of every available dimension and metric within a specific view. This replaces manual exports and tedious clicking.

DISCOVERY

Missing field alerts

The AI identifies if a required metric or dimension is absent from a data view. This helps you catch broken reporting before you build a dashboard.

HUMAN

Manual fixes

The AI identifies the gaps, but you still handle the actual changes in the Adobe interface. It points out the errors so you know exactly what to fix.

The workflow

What your AI does when the request arrives.

The AI follows a logical path to map out your CJA environment.

  1. Map the environment

    The agent first identifies all available data views in your Adobe instance to establish a scope for the audit.

    list_data_views

  2. Extract dimensions

    Once a view is selected, the AI pulls the full list of dimensions associated with that specific configuration.

    get_data_view_dimensions

  3. Extract metrics

    The agent then gathers the metrics tied to the same data view to complete the metadata profile.

    get_data_view_metrics

  4. Compare and report

    The AI compares the gathered lists against your requirements and highlights any discrepancies or missing elements.

    get_data_view_dimensionsget_data_view_metrics

Try it

Copy these to start.

Use these prompts to kick off your audit.

Starting points

Swap the bracketed text for your actual CJA names.

Adobe CJA Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_WtifghO8mMK5C0JvYMukvb4we7PMIb2gDcIvXozK/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Adobe CJA capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "adobe-customer-journey-analytics-cja-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_WtifghO8mMK5C0JvYMukvb4we7PMIb2gDcIvXozK/mcp"
    }
  }
}
Copy into chat04

  • List all my data views in Adobe Customer Journey Analytics.

  • Check the dimensions in my 'Web Traffic Overview' data view.

  • Are there any metrics missing from the 'Mobile App Engagement' data view?

  • List all metrics available in the 'Conversion Funnel' data view.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Adobe Customer Journey Analytics once, then ask.

You only need to link your account once. Your credentials stay encrypted, and you can immediately start asking questions about your data views.

Connect Adobe Customer Journey Analytics to your AI

FAQ

How the audit behaves

  • 01

    Can the AI change my data view settings?

    No. The AI can only read metadata. You must make any configuration changes manually within Adobe.

  • 02

    Can the AI see my actual event data?

    No. The tools only access metadata like dimension and metric names, not the underlying raw data or user records.

  • 03

    Does this work for all CJA data views?

    Yes, the AI can access any data view that your connected account has permission to see.

  • 04

    Can I use this to create new metrics?

    No. The AI can list and check existing metrics, but it cannot create or modify them.

  • 05

    How does the AI know which view to check?

    You tell it the name of the data view in your prompt, and it uses that to target its search.

  • More questions about Adobe Customer Journey Analytics? The Connector page answers them. See everything the Adobe Customer Journey Analytics Connector can do

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