SUBSTANTIATION OF SOFTWARE FOR AUTOMATION OF ACCOUNTING AT THE YALTUSHKIVSKA EXPERIMENTAL BREEDING STATION OF THE INSTITUTE OF BIOENERGY CROPS AND SUGAR BEETS OF THE NATIONAL ACADEMY OF AGRARIAN SCIENCES OF UKRAINE

Abstract

The article presents a qualitative assessment of the current accounting system at the enterprises of the Institute of Bioenergy Crops and Sugar Beets of NAAS of Ukraine on the example of Yaltushkiv Experimental Breeding Station. It has been found that in recent decades, digital transformation has become relevant not only at the enterprise level, but also at the level of individual sectors of the economy and even the state. It is designed to simplify the work with large data sets, automate almost all activities, improve the interaction of citizens with the state, customers with companies, enterprises and the state as a whole. Peculiarities of the introduction of the modern information technologies for conducting automated accounting at enterprises are investigated. The characteristics of modern software products on the domestic market are given, which allowed to make proposals for the selection of software for automation of accounting at ESIC «Ukrainian Scientific-Educational Consortium» (Yaltushkiv Experimental Breeding Station of the Institute of Bioenergy Crops and Sugar Beets NAAS of Ukraine) in favor of BAS «Accounting». The importance of the automated form of accounting, which optimizes the work of the accounting department, will ensure the maximum savings of working time, the highest productivity and most importantly – information security of the enterprise. It is noted that the human factor also plays an important role in the development of the digitalization system, as special attention needs to be paid to continuous staff improvement, development and skills development. Prospects for the use of the domestic software products, which are the basis for creating a highly organized environment, where at a new, high quality level, will be able to conduct daily operations and monitor and analyze the state of the enterprise, which will allow to make the science-based management decisions.