Improvement of the information and analytical base of enterprise management system decisions

Obniavko Vladyslav
PhD student, Odesa National University of Economics, Odesa, E-mail:vobniavko@gmail.com, ORCID ID: https://orcid.org/0000-0002-6606-9436

Cite this article:

Obniavko V. (2023) Improvement of the information and analytical base of enterprise management system decisions. Ed.: V.V. Kovalenko (ed.-in-ch.) and others [Vdoskonalennia informatsiino-analitychnoi bazy rishen systemy upravlinnia pidpryiemstvom; za red.: V.V. Kovalenko (gol. red.)], Scientific Bulletin of the Odesa National Economic University (ISSN 2313-4569), Odesa National Economics University, Odesa, No. 11-12 (312-313), pp. 220-225.

Abstract

Purpose. This publication explores the theoretical foundations of digital equipment and technology development, emphasizing the proposal of a typology for information and analytical base of enterprise management system decisions. Method. The study systematically categorizes elements within the for information and analytical base of enterprise management system decisions, substantiating content and resources. It employs a systemic approach to investigate the development of intellectual business, emphasizing diverse typologies based on defined objectives, particularly within the wine industry in the digital economy. Results. Identified are features and potentialities associated with the development of an information management system, analytical tools, intellectual and analytical business tools, forecasting and modeling, e-commerce, and marketing. The data management system acts as a centralized tool governing the digital economy and security, implementing a program for collecting, optimizing, and organizing the information base. Intelligent systems, integral to business analytics, connect enterprises with real-time data, facilitating informed decision-making on production, finance, marketing, and critical business aspects. Scientific novelty. The study contributes by presenting the data management system as central in the digital economy and security, offering insights into information base collection, optimization, and organization. Integrating intelligent systems with business analytics adds a novel dimension. Practical importance. The research explores practical utilization of information and analytical base elements for winery management systems, employing interconnected tools like Artificial Intelligence, Big Data, and other digital instruments. Additionally, it generalizes trends in automated business processes, enhancing the information and analytical base of enterprise management system decisions with practical implications for enterprises in the digital economy.

Keywords

enterprise management system, informational and analytical base of decisions, digital technology, automated business processes, big data, winemaking.

JEL classification: М150; O320; DOI: https://doi.org/10.32680/2409-9260-2023-11-12-312-313-220-225

UD classification: 634.8:330.341.2

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