Evaluating A’s of Big Data for Transformation of Smart Cities

Abstract

Smart devices and things are widely increasing with the passage of time and with the developments of industrial technology. Various smarts devices such as sensors and actuators are interacting with each other for diverse purposes and specific goals. The role of automation can drastically revolutionize to adopt the things, to automate and accurately access, with cost-efficient resources, and save human time and effort. Data plays a vital role in industries and is the fundamental part of organizations. An efficient system is the dire need of the modern industry to efficiently and accurately assess the A’s of big data for transformation of smart cities. The existing literature was searched for finding the associated materials and to represent them. The current study considers the A’s of big data and with the support of analytic network process (ANP), the same has been evaluated. The approach of ANP works in situation of complexity where decision-making is difficult and challenging. The approach adopted the network hierarchy of goal, criteria, and alternatives for assessing the A’s of big data. Various calculations of the process have been carried out for experiments, and the experimental results show the effectiveness of the proposed research in terms of evaluation of A’s of big data.