PROBLEMS AND SOLUTIONS IN ENSURING THE EFFICIENCY OF STATISTICAL DATA PROCESSING BASED ON MODERN TECHNOLOGIES

Abstract

In the era of digital transformation, statistical data processing plays a crucial
role in decision-making across various sectors. However, ensuring the efficiency and
accuracy of this process presents several challenges, including data quality issues,
system integration problems, limited computational resources, and lack of skilled
personnel. This paper explores key problems associated with statistical data
processing in modern technological environments and offers practical solutions to
overcome them. Emphasis is placed on the application of cloud computing, big data
analytics, artificial intelligence, and machine learning techniques to enhance
processing speed, reliability, and data integrity. The study concludes by
recommending a framework for integrating modern technologies into statistical
systems to optimize performance and support informed decision-making