1. Reporting with Data Cloud

Key Terms:

• Dataset: Structured data pulled from a data source and stored in NinjaCat’s Data Cloud.
• View: A curated version of a dataset with filters, renamed fields, or calculated metrics.
• Widgets: Visual elements in reports or dashboards that pull from datasets or views.
• Export: Datasets or views can be exported to tools like Google BigQuery, Amazon S3, or Tableau.

Best For: Custom data workflows, cleaning or joining data across sources, and advanced reporting or export needs.

2. Reporting with Quick Connectors

Key Terms:

• Network: A direct API connection to a data provider like Google Ads or Facebook.
• Account Mapping: Assigns the right data segment (like an ad account ID) to a NinjaCat Account.
• Widgets: Pull in live or cached data directly from networks without requiring datasets or views.

Best For: Simple reports built on live data using out-of-the-box metrics and dimensions.

3. Using AI Agents with Data Cloud

Key Terms:

• Dataset: AI Agents use structured data from Data Cloud as their foundation.
• Prompt: A specific instruction given to an agent to analyze, summarize, or manipulate data.
• Agent Output: The generated response—text, insights, summaries, or actions—based on the prompt.
• Agent Builder: The UI for building, testing, and maintaining AI Agents in NinjaCat.

Best For: Automating repetitive tasks, surfacing insights, or creating on-demand data summaries.

These diagrams help clarify how different reporting and automation features in NinjaCat handle and transform data. Choose the workflow that best fits your use case.

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Need help deciding? Visit our NinjaCademy Learning Paths to explore hands-on courses for each workflow.