IoT data validation

Service description

It is often the case that IoT systems are implemented due to a desire to monitor and collect data to gain valuable insights about certain conditions and processes. These insights based on collected data can also be used to make data-driven decisions. The advantage of IoT is that it is easy and cheap to start implementing an IoT system, perhaps in the form of a proof of concept, and just start collecting data. But when we make data-driven decisions, we must take the necessary steps to consider the quality of the data collected. If the data quality is not high enough for a specific use case, the data is not credible, and if the data is not credible, the insights and analytics will not be credible either.
Expected results: Evaluation report.
Methodology: Common exploration with the client.
Target: N/A

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