Governance of Data Product in Multi-layered IoT system

Having applications across sectors, IoT applications rely heavily on sensory data. Because of its variety, complexity, and dynamic nature, IoT data is susceptible to inaccuracies. Decisions taken on such data are likely to be consequently flawed. To overcome the said pitfalls, data quality and trustworthiness need to be maintained. Since IoT architecture is multi-layered, the data product devised must adhere to the discrete feed-forward mechanisms in the architecture. Further, owing to the presence of both physical & virtual systems, and stringent privacy policies for data sharing in the IoT ecosystem, incorporating data governance and quality controls inside the data product's architecture becomes necessary.