Development of tools to support the enterprise digital transformation project management system based on big data


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Abstract

In the context of the digital economy development and the transition to the data economy, it is necessary to work out iteratively the strategy of digital transformation of the enterprise on an ongoing basis, as well as optimize the digital project portfolio to achieve strategic business goals and obtain new quality and value of the business model and business processes due to the digitalization advantages. The study identifies the directions for the formation of a management system model that correspond to modern trends in enterprise digitalization and intellectualization based on approaches, tools and standards of project management. The conducted theoretical research allowed developing a set of tools that includes a conceptual model of the digital transformation project management system, a methodology for evaluating the effectiveness of the analytical subsystem for managing digital transformation projects based on big data and a generalized model for forming a strategy for managing digital transformation projects of an enterprise. The proposed authors’ methodology for evaluating the effectiveness of the analytical subsystem for managing digital transformation projects based on big data can be used as one of the tools for assessing the digital maturity of an enterprise and the level of use of big data tools in management. This will allow identifying problem areas for the development of a management system based on big data, as well as reasonably forming an analytical infrastructure for digital transformation corresponding to the transition towards the data economy. The developed conceptual model of the digital transformation project management system is aimed at forming an effective portfolio taking into account risks, the external and internal context of the enterprise, and includes a mechanism for choosing an approach (flexible, classic, hybrid) to managing digital transformation projects.

About the authors

Maksim Olegovich Iskoskov

Togliatti State University

Email: maksim250881@mail.ru
ORCID iD: 0000-0003-4624-5321

Doctor of Sciences (Economics), Director of the Institute of Finance, Economics and Management

Russian Federation, 445020, Russia, Togliatti, Belorusskaya Street, 14

Yana Sergeevna Mitrofanova

Togliatti State University

Author for correspondence.
Email: ya.mitrofanova@tltsu.ru
ORCID iD: 0000-0002-4593-4152

PhD (Economics), assistant professor of the Institute of Finance, Economics and Management

Russian Federation, 445020, Russia, Togliatti, Belorusskaya Street, 14

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Copyright (c) 2024 Iskoskov M.O., Mitrofanova Y.S.

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