Untitled

Abstract

High-quality information and analytical content can be used as a basis for making optimal and informed management decisions by analysing the impact of factors on business efficiency, which will allow us to explore the weaknesses of an enterprise and plan the directions of its strategic development. The study aims to provide a scientific synthesis of theoretical aspects and outline practice-oriented approaches to organising analytical support for the management system at an enterprise. The following methods were used: theoretical aspects were analysed using the generalisation, systematisation and grouping methods; the use of statistical analysis and business process modelling methods for the needs of enterprise management was analysed; the components of Data Science analysis were considered; the main material was presented using the descriptive method. Analytical tools of the enterprise management system were analysed. The emphasis is placed on the procedures of statistical analysis and modelling of business processes, application of Data Science tools and visualisation methods. The external and internal sources of information for the needs of enterprise management are allocated. Varieties of analytical tools that contribute to understanding the essence of problematic issues and determine the search for optimal and reasonable management decisions are presented. The SWOT-analysis matrix as an instrument for optimal combination of information modelling methods, analytical procedures and visualisation of the analysis results is presented. The need to use IT tools to improve the quality of the results of analytical procedures is emphasised. The expediency of developing analytical tools for the needs of optimising the enterprise management system using Data Science technology is substantiated. The advantages of using Big Data for making management decisions are determined. The components of Data Science analysis in the enterprise management system are allocated. The possibility of solving business problems or determining the enterprise development strategy by structuring and visualising a large array of data to identify patterns of enterprise development is emphasised. The tools of analytical support for the needs of organising the system of economic security of enterprise are generalised. The practical value of the work lies in the fact that an algorithm of actions for organising analytical support of the management system at an enterprise is proposed