Control Systems and Computers

DOI: https://doi.org/10.15407/usim.2018.06.025

Upr. sist. maš., 2018, Issue 6 (278), pp. 25-35.

UDC 338.24:681.513.8

Yefimenko Serhiy M., PhD (Eng.), Senior Researcher, syefim@ukr.net,

Stepashko Volodymyr S., Doctor (Eng.), Professor, stepashko@irtc.org.ua,

Department for Information Technologies of Inductive Modelling, International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and MES of Ukraine, Akadimik Glushkov ave, 40, Kyiv, 03187, Ukraine

Forecast Analyst as an Effective Tool for Decision Support in Digital Economy Systems

Introduction. In the current context of transition from traditional industry to digital, insufficient research has been done on the impact of information technologies on the transformation of digital economy systems.

Purpose of the work is to analyze approaches to modeling of economic processes in business intelligence systems and modern predictive analytics tools used to make effective business decisions.

Results. A series of definitions of the digital economy has been analyzed and an alternative one has been proposed: the digital economy is a new economic mechanism, which should be understood as a set of software and hardware tools providing production processes, sales and supply of products and services through Internet-based computer systems that are capable of the structure and functions adjustment under conditions of permanent change of situations in the environment of their functioning.

The approaches to the use of business intelligence systems in the digital economy were analyzed. The modern tools of predictive analytics used for making effective business decisions are considered. The idea ​​develop an intelligent information technology for inductive modeling and forecasting of complex processes in digital economy systems is proposed.

Conclusion. Advanced methods of predictive analytics can significantly improve the performance of the enterprise, company or organization. High-performance GMDH-based intelligent modelling using recurrent-and-parallel computing is one of the most effective means of predictive analytics.

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Keywords: digital economy, predictive analytics, inductive modeling, GMDH

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Received 05.12.18