Information and analytical decision-making systems in enterprise management

Oksana Klepikova
PhD in Economics, Associate Professor, Department of Economic Cybernetics and Information Technologies, Odessa National Polytechnic University, е-mail:klepoa@ukr.net

Cite this article:

Klepikova, O. (2017). Information and analytical decision-making systems in enterprise management. Ed.: M. Zveryakov (ed.-in-ch.) and others [Informatsiino-analitychni systemy pryiniattia rishen v upravlinni pidpryiemstvom; za red.: М. I. Zveriakova (gol. red.) ta in.], Socio-economic research bulletin; Vìsnik socìal’no-ekonomìčnih doslìdžen’ (ISSN 2313-4569), Odessa National Economic University, Odessa, No. 1 (62), pp. 196–204.

Abstract

The article substantiates the relevance of using information and analytical systems in economics and management. The necessary steps, mathematical and statistical methods, modern information technologies for ensuring the functioning of these systems and the sphere in which analytical reporting is carried out are indicated. The main purpose of modern IT-technologies in business analytics and a general algorithm for the operation of systems related to the Business Intelligence class, the basic principles of the work of decision support systems and data mining tools are analyzed. The architecture of a typical information and analytical decision support system based on OLAP-technologies and intelligent data analysis (Data Mining) is structured. Further directions of using information and analytical systems in combination with dynamic simulation models are determined.

Keywords

Business Intelligence; decision support systems; data mining; data warehouse; on-line analytical processing.

JEL classification: C150; C450; P510;  DOI: https://doi.org/10.33987/vsed.1(62).2017.196-204

UD classification: 33.330.005.5

References

1. Demydenko, M. A. (2016). Decision support systems [Systemy pidtrymky pryiniattia rishen], Natsionalnyi hirnychyi universytet, Dnipro, 104 s. URL: http://nmu.org.ua [in Ukrainian]
2. Bratushka, S. M., Novak S. M., Khailuk S. O. (2010). Decision support systems [Systemy pidtrymky pryіniattia rishen], DVNZ «UABS NBU», Sumy, 265 s. [in Ukrainian]
3. Sytnyk, V. F (2004). Decision support systems [Systemy pidtrymky pryiniattia rishen], KNEU, Кyiv, 614 s. [in Ukrainian]
4. Subbotin, S. O. (2008). Representation and processing of knowledge in artificial intelligence systems and decision support [Podannia i obrobka znan u systemakh shtuchnoho intelektu ta pidtrymky pryiniattia rishen], ZNTU, Zaporizhzhia, 341 s. [in Ukrainian]
5. Schavelev, L. V. Methods of analytical data processing for decision support [Sposoby analiticheskoy obrabotki dannykh dlya podderzhki prinyatiya resheniy]. URL: http://infovisor.ivanovo.ru/ press/paper04.html [in Russian]
6. Klepikova, O. A. (2013). The modern state and role of information technology in enterprise management [Suchasnyi stan i rol informatsiinykh tekhnolohii v upravlinni pidpryiemstvom], Naukovyi visnyk mizhnarodnoho humanitarnoho universytetu, Seriia «Ekonomika i menedzhment», MHU, Odesa, No. 5, s. 74–77 [in Ukrainian]
7. Klepikova, O. A., Vasileva, T. P. (2016). Evaluating the effectiveness of modern corporate information and analytical systems in the activities of telecommunication company [Otsinka efektyvnosti suchasnykh korporatyvnykh informatsiino-analitychnykh system u diialnosti telekomukatsiinoi kompanii], Prychornomorski ekonomichni studii, vyp. 8, s. 226–229 [in Ukrainian]
8. OLAP i Business Intelligence. URL: http://www.olap.ru/home.asp?catId=60&catPage=56.
9. Official website of IT-companies «KPI MONITOR» [Ofitsiinyi sait IT-companii «KPI MONITOR»]. URL: http://kpi-monitor.ru/about/analytics [in Ukrainian]