Data Analytical Framework for Internet of Things

Internet of Things (IoT) is characterized by a colossal scale of smart objects that collaborate impeccably with each other through a worldwide network. Data obtained from these smart objects can be used to recognize, inspect and manage complicated environments around us, enabling better understanding, intelligent decision-making, and performance optimisation. Data analytics plays an incredible part in creating efficient IoT applications. It is used to dig out consequential insights from IoT data and these insights are typically in the form of smart management decisions, trends, and statistics that assist IoT applications in making potent decisions. Hence, exploitation of data analytics in IoT applications provides tremendous benefits including enhanced quality, increased efficiency, automation and better decision-making. This paper provides a knowhow of data analytics in IoT and presents the benefits of data analytics in IoT applications. Moreover, the data analytical frameworks for delay-tolerant and delay-critical applications are also presented.