PROSPECTS FOR IMPLEMENTING CLOUD TECHNOLOGIES IN STATISTICAL ACTIVITIES
Abstract
This article examines the possibilities and practical directions for the wide and effective use of cloud technologies in statistical activities under the conditions of the emerging digital economy. Particular attention is paid to the role of cloud computing in improving data collection, processing, storage, and dissemination processes, as well as enhancing the efficiency, flexibility, and reliability of statistical systems. The study highlights how cloud-based solutions contribute to real-time data access, integration of large and heterogeneous datasets, and the automation of analytical procedures. In addition, the paper emphasizes the importance of ensuring data security, scalability, and cost efficiency when implementing cloud technologies. The findings demonstrate that the adoption of cloud-based infrastructure can significantly strengthen institutional capacity, support evidence-based decision-making, and improve the overall quality and timeliness of official statistical information in a digitalized economy.