Issues with sensor data analytics

Great article outlining issues to be considered when performing sensor data analytics: The awkward conversation about sensors and data that we need to hear

In summary, issues outlined in original articles are:

  • Sensors sometimes lie: Values start drifting over period of time or because of operating conditions
  • Not the whole truth: Remote processing units or edge analytics can filter out the  relevant sensor information.
  • It can take work to get a signal: Sometimes modeling the sensor behavior may take long time.
  • Scoring: Scoring or model execution may cause problem as updating the model at remote locations is problematic.
  • Sensor data can be useless on its own: Businesses need to combine sensor data with other operational data to make it meaningful.

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