Development Strategy for Statistical Data Processing and Peculiarities of Applying Iot Technologies
Abstract
The rapid advancement of digital technologies has significantly influenced the field of statistical data processing, particularly with the integration of the Internet of Things (IoT). This paper explores a development strategy for optimizing statistical data processing by leveraging IoT technologies. The strategy focuses on enhancing data accuracy, real-time analytics, and efficient data management across various sectors including industry, healthcare, and smart cities. Key considerations include the architecture of IoT-enabled systems, data collection methods, storage solutions, and processing algorithms. Additionally, the paper examines the challenges associated with large-scale data integration, data security, and interoperability among IoT devices. By proposing a systematic approach that incorporates both technological and analytical frameworks, the study aims to contribute to more effective decisionmaking and predictive modeling capabilities. The findings suggest that a well-structured strategy integrating IoT can significantly improve the quality and efficiency of statistical data processing.