DATA-DRIVEN CYBER-PHYSICAL CUSTOMER EXPERIENCE MANAGEMENT IN IORT-ENABLED BANKING INFRASTRUCTURES

Abstract

The rapid expansion of interconnected devices and large-scale data ecosystems has positioned Data Engineering and Data Science as critical pillars in managing modern IoT infrastructures. This journal focuses on advancing research that integrates scalable data pipelines, intelligent analytics, and real-time IoT management frameworks. It aims to provide a platform for innovative contributions addressing challenges in data integration, cloud–edge processing, sensor data analytics, and autonomous IoT decision systems. Research in predictive modeling, big data architectures, machine learning optimization, and secure IoT governance forms the core of the journal’s vision. Emphasis is placed on solutions that enhance system reliability, operational efficiency, and contextual intelligence in IoT networks. By bridging Data Engineering, Data Science, and IoT Management, the journal supports transformative research essential for building the next generation of smart, data-driven environments.