• Test Data Management

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AI-Powered Test Data Analysis

From Prompt to ready-made Analysis in Just a Few Steps

Imagine describing in natural language which test data you want to analyze - and just minutes later, you receive a complete, interactive dashboard with statistical evaluation, threshold analysis, and meaningful visualizations. No manual scripting, no hours of data preparation.

 

This is exactly what the combination of Peak Test Data Manager (PeakTDM), the ASAM ODS standard, and modern AI agents such as Microsoft Copilot or Anthropic Claude enables. 


The following outlines a typical analysis workflow.

From Data to Insights in 4 Steps

The AI agent takes care of the entire technical implementation - you simply specify what you want to find out.


1


Data Import and Verification

The agent connects to the data management system, retrieves measurement data and metadata, and automatically verifies for missing or inconsistent values. Key KPIs such as minimum, maximum, and average are already included in the dataset thanks to PeakTDM - serving as the foundation for all subsequent analyses.



2


Data Analysis

Based on your specifications, the agent automatically identifies measurement values that exceed defined thresholds and flags them as outliers. It also calculates relationships between measurement channels and explains them clearly, for example: "Strong positive correlation between engine speed and exhaust temperature (r = 0.92)."



3


Visualization

Insightful charts with proper axis labels, units, and gridlines are generated automatically - either as customizable Jupyter Notebooks or ready-to-use image files.




4


HTML-Dashboard Creation

All results are consolidated into an interactive dashboard, including charts, statistical tables, and visually highlighted outliers. The dashboard is available in the browser at the click of a button and can be shared as a web app across teams.



Control by Prompt

Like writing a specification, you describe in natural language what the agent should accomplish – the prompt.

The AI agent works like a skilled team member: it generates code, asks clarifying questions if needed, and independently executes the task—from database query to final dashboard.
No programming skills required. 

​

What Enables This?

Three components work seamlessly together:


Peak Test Data Manager


ODS AIConnect MCP Server


KI-Agent (e.g. Copilot)


Central data foundation with standardized data models (ASAM ODS), APIs, metadata, and security.

Bridge between the AI agent and the data platform  - Your original data remains unchanged thanks to secure read-only access.

Automatically generates Python code, retrieves data, creates visualizations, and builds
interactive dashboards.

What Remains in Your Hands?

AI agents handle repetitive tasks—but domain expertise stays with the engineer. You decide:

  • which measurement data to analyze
  • which thresholds to apply
  • which correlations are relevant
  • how the dashboard should be structured

Specialized analysis tools—with advanced algorithms for areas such as NVH analysis, modal analysis, or fatigue calculations - remain essential. AI complements them as an intelligent interface, not a replacement.

Your Fast Track to AI-Powered Test Data Analysis

Peak Solution supports you in making your test data AI-ready—with proven data platforms, open interfaces, and practical expertise.

 

Would you like to discover how this workflow works with your own test data? 

👉  Get in touch with us—we’ll show you a live demo using your data.

Connected solutions

You can click on the links to get more information about each component 

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