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How to avoid missing key metrics in data analysis?

2025-08-25 1.2 K

Structured approach ensures analytical integrity

Traditional data analysis often results in the absence of important dimensions due to human factors, and the agent.ai platform can systematically avoid this problem:

  • Preconfigured analysis framework: When selecting specialized intelligence such as "Industry Analysis Pro", the system automatically suggests benchmarks to be included (e.g. TAM, CAC, YoY growth rate, etc.).
  • Cross-validation mechanism: Simultaneously run 2-3 similar intelligences from different developers (e.g. "Financial KPI Extractor" and "Business Insight Generator") and compare the differences in results.
  • Dynamic replenishment function: Additional analysis requirements (e.g., "add geographic disaggregation") via the "Ask Follow-up" button during the task progress phase
  • visualization: Mandatory output includes an interactive dashboard (select the "Export as Tableau Dashboard" option) to discover hidden dimensions through a visual presentation.

Emergency response: When anomalies are found in core metrics, use the Anomaly Detector to analyze the root cause immediately. All the platform's data analysis intelligences have built-in common industry indicator systems, and users can also upload customized indicator templates.

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