Application of information technologies in business-analysis of organizations activity under crisis conditions

Author:

Kuzhda Tetiana,Shveda Nataliia,Yuryk Nataliia

Abstract

The article defines the main factors that have a negative influence on economic development of entities at present situation, and outlines the signs of the enterprise crisis state, which make it necessary to use the levers of anti-crisis management. The company’s exit from the crisis state is impossible to provide a well-formed system of crisis management, which provides: timely solution of enterprise problems, stabilization of unstable situation and elimination of negative factors, minimization of losses and lost opportunities of the enterprise, preventive crisis management, in-crisis management, management of crisis exit procedures, management of the enterprise operation and management of the enterprise development. The principles of a well-formed system of anti-crisis management are defined. The essence, functional purpose and algorithm of business analysis of organization activity under crisis conditions are revealed; the main vectors of business analysis development are investigated; the most common variants of classification of software products for business analysis are considered. In recent years in all areas of the world economy, the trend of transition to the era of the fifth scientific and technical revolution based on information technologies and artificial intelligence is clearly observed. That is why the issue of information technologies application in business analysis of organizations’ activity in crisis conditions is extremely important. Anti-crisis management provides management of enterprise architecture, strategic planning and analysis, formation of CRM-system, technical design, planning and implementation of measures ensuring product quality and competitiveness, object management in general and much more. Business analysis is always present in ensuring the effectiveness of the company’s activities. In the scientific literature and in business practice, four fundamentally interrelated types of business analytics are generally distinguished: descriptive, diagnostic, predictive and prescriptive. In business analysis, the following main categories of functions are mandatory: possibility of integration, information representation, data analysis, modelling, forecasting, forming of the map of indicators. In organization’s management the implementation of strategic decisions through categories like unity, coherence and internal consistency, where CRM-system forms effective tools of human resources management, task definition and control, data collection and analysis, support of all stages of sale process, construction, service, internal communications and other is effective. ERP-system – increases efficiency of planning resources process of the organization, helps you to control internal processes and make important business decisions in real-time. The most up-to-date and demanded software products for business analysis can be attributed: Qlik Sense, Qlik View, Naumen Servise Desk, MicrosoftStrategy Analytics, Roistat, GetReport, PlanFakt, Seenece, Business Scanner, Tibco Spotfire, SAP BusinessObjects, Finoko, IBM Cognos Busines Interlligence, Power BI, SAP Lumara. During their development information and analytical technologies have changed configuration of business analysis, making it an instrument for creating information content.

Publisher

Ternopil Ivan Puluj National Technical University

Subject

General Medicine

Reference8 articles.

1. 1. HLB Ukraine. Advisory, tax and audit. Biznes-analityka: veb-sajt. URL: https:// www.hlb.com.ua/ 2019/08/26/%D0%B1%D1%96%D0%B7%D0%BD%D0%B5%D1%81-%D0 %B0%D0%BD%D0%B0 %D0%BB%D1%96%D1%82%D0%B8%D0%BA%D0%B0/ (accessed: 10 January 2023).

2. 2. Vinnychuk O. Ju., Vinnychuk I. S., Biloskursjkyj R. R. (2022) Konceptualjni osnovy praktychnogho zastosuvannja biznes-analityky [Conceptual foundations of business analytics practical application]. Naukovyj visnyk Khersonsjkogho derzhavnogho universytetu. 2022. Vol. 45. P. 69-75.

3. 3. Vyghonjajlo S. M., V'junenko O. B. (2021) Tendenciji rozvytku informacijnykh tekhnologhij u biznes-analityci [Trends of information technologies development in business analytics]. Vcheni zapysky TNU imeni V.I. Vernadsjkogho. Serija: Tekhnichni nauky. No. 32 (71). P. 51-55.

4. 4. Ghafijak A. M. (2018) IT-tekhnologhiji ta biznes-analityka [IT technologies and business analytics]. Ekonomika i suspiljstvo. No. 15. P. 934-937.

5. 5. Zadorozhnjuk N. O. (2021) Suchasne proghramne zabezpechennja dlja zdijsnennja biznes-analizu [Modern software for business analysis]. Ekonomichnyj visnyk NTUU "Kyjivsjkyj politekhnichnyj instytut". No. 19. P. 156-159.

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