DEVELOPMENT OF AN ANTI-RISK METHOD OF OPTIMIZING BUSINESS PROCESSES

Abstract

The introduction of digital transformation projects into the socio-economic management system requires the development of new tools and approaches to information risk management as the main lever of the project's success. In order to solve this problem, the latest scientific achievements in the direction of development and implementation of anti-risk methods for various sectors of the economy were analyzed. This analysis once again confirmed the axiom about the need to manage risks, and today, information risks, which in the era of digitalization are becoming the main problem for many organizations. The purpose of this article is to develop models and an algorithm for the anti-risk method of optimizing business processes in organizations. An anti-risk method of optimizing business processes is proposed, developed on the basis of conceptual and mathematical models of information risk management in projects of digital business transformation. The work demonstrates the concept of the method, the idea of which is the simultaneous analysis of the information risks of the organization, its projects and its environment with the application of uniform countermeasures to them, which leads to a reduction in terms and costs of project implementation. Also given is a mathematical description of the information risk management model in digital business transformation projects, as a manager's toolkit for calculating key project indicators. The proposed anti-risk method of optimizing business processes allows you to eliminate the excessive cost of operations, the time of operations, the inconsistency of actions of participants and take into account information risks. It was concluded that this anti-risk method of optimizing business processes acquires practical significance and value in the process of choosing strategies for further actions in project management.