DATA QUALITY MANAGEMENT TO IMPROVE THE EFFICIENCY OF THEIR USE IN THE ACTIVITIES OF AGRICULTURAL ENTERPRISES

UDC 338.012
DOI: 10.36871/ek.up.p.r.2025.01.14.019

Authors

Svetlana V. Ryndina,
Yusef D. Bakhteev,
Penza State University, Penza, Russia
Sergei M. Imyarekov,
Saransk Cooperative Institute (branch) Russian University of Cooperation, Saransk, Russia
Ilya V. Tolmachev,
GKU of the Republic of Mordovia "Scientific Research Institute of Humanities under the Government of the Republic of Mordovia", Saransk, Russia

Abstract

The article presents the results of a study on data quality management in organizations. For agricultural enterprises, an important component of the digital transformation process is data quality management with subsequent use for decision-making, forecasting, as well as in digital solutions based on artificial intelligence technologies. The characteristics of data quality and their impact on the effectiveness of using data for business purposes are considered. A systematic approach to assessing the risks of poor data quality and mechanisms for overcoming it is proposed. The results of the analysis can be used in the business practice of domestic enterprises that consider the collected data as a valuable asset for developing their potential and are ready to work on the quality of such an asset. For agricultural enterprises, data quality management can become the key competence that will increase the impact of implemented digital solutions.

Keywords

data quality, data quality characteristics, data analytics, agricultural enterprises