The article analyses the criteria for ensuring data reliability in analytical activities, particularly in economic research, based on a large amount of data that requires careful analysis and processing. The study uses an integrated approach to identify the degree of interrelationships between variables and their dependencies and identify hidden influence factors. The article describes the need to use methods of correlation, regression factor analysis, verification, unification, and analysis of possible deviations of calculations to ensure the objectivity and reliability of economic indicators. The main criteria for ensuring data reliability are defined. It is established that applying an integrated methodological approach allows for obtaining reliable and accurate economic research results, contributing to adopting effective management decisions. It is noted that research requires the development of a systematic approach to ensuring data reliability. It includes three areas: statistical methods of quantitative analysis of cause-and-effect relationships, the objectivity of economic indicators, and criteria for the reliability of indicators of the information field of research. The proposed methods aim to obtain reasonable and balanced results, which is critical for making effective decisions in the digitalization of the economy. Modern methods for detecting, evaluating, and correcting errors in data can significantly improve the reliability of economic conclusions and recommendations. In the digital economy, the development and implementation of cutting-edge technologies, such as machine learning and artificial intelligence, play a pivotal role in ensuring higher data quality. This underscores the relevance of the research. Further studies could be directed toward developing and enhancing methodological approaches to data analysis, including exploring new statistical methods and algorithms for processing big data. Additionally, research on integrating different analysis methods to study complex economic processes and forecast future trends holds promise.
Keywords: data reliability, analytical activity, economic research, objectivity of economic indicators, evaluation criteria, information field.