What are some common reasons for ineffective data logging?

There are several common reasons that can lead to ineffective data logging. One of the main reasons is poor instrumentation or sensors, which may provide inaccurate or imprecise measurements. Inadequate calibration or incorrect placement of sensors can also result in unreliable data. Another key reason is insufficient data storage or logging capacity, leading to a loss of data or inability to store the required amount. Inadequate data logging frequency can also result in missing important events or trends in the data. Moreover, human error, such as improper setup or incorrect data entry, can contribute to ineffective data logging. Lastly, inadequate data analysis or interpretation can render the logged data ineffective, as it may fail to provide useful insights or drive informed decision-making.

This mind map was published on 27 November 2023 and has been viewed 40 times.