> For the complete documentation index, see [llms.txt](https://navixy.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://navixy.com/docs/qna/using-navixy/raw-data/typical-use-cases-for-raw-data-export.md).

# Typical use cases for raw data export

Export raw data for analytics pipelines, ML systems, sensor debugging, event verification, and custom report building outside the platform

## Question

What are the typical use cases for raw data export?

## Answer

Raw data export is useful for various tasks, including:

* **Analytics and AI/ML:** sending data to machine learning systems and BI platforms (Grafana, PowerBI).
* **GPS tracker diagnostics:** checking which parameters the device is sending and ensuring correct operation.
* **Sensor debugging:** detecting sensor malfunctions without applying calibration tables.
* **Event rule verification:** analyzing events and transmitted values.
* **Device offline diagnostics:** analyzing signal strength, battery level, and other parameters before the device went offline.
* **Custom reports:** creating user-specific reports based on raw data.


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