ACCOUNTING AND ANALYTICAL SUPPORT OF BUSINESS PROCESSES IN CONDITIONS OF ECONOMIC INSTABILITY: KEY ASPECTS

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The instability of the business environment at the current stage causes significant challenges for all groups of stakeholders, in particular, business. In this context, a special problem arises in the field of ensuring the adequate functioning of companies in conditions of significant exogenous and endogenous challenges. The purpose of the article is to identify the features of the accounting and analytical base of the management of the company's operational processes in the conditions of growing economic instability at the micro- and macro-level from the point of view of the functioning of the corporate sector. The article examines the essence of accounting and analytical support of the company's business processes in the light of growing changes in the business environment. The key role of an informed and transparent methodical approach to business management in terms of business processes is defined. The main trends in the development of accounting and analytical support for business processes in the conditions of growing volatility in the working environment of companies focused on increasing operational efficiency and business profitability are considered. The rapid forecast development of the market of solutions for accounting and analytical support of business processes in the world was noted. In the framework of strengthening the information and analytical support of business processes, a toolkit in the format of a system of key performance indicators (KPI) is proposed. A KPI system was formed from 7 indicators of operational and strategic direction, designed to strengthen the effectiveness of business process changes from the point of view of their analytical basis. A promising direction of research in this field is the analysis of the context of digitalization (blockchain technologies and artificial intelligence) from the point of view of the development of accounting and analytical support for business processes.