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.