One of the promising areas of business analysis is the development of new methods and tools for accounting of nonfinancial and non-numeric information. There is a significant number of theoretical and practical solutions in this field; however, the issues of the transformation dynamics of companies’ business vocabulary need to be studied more extensively. The article aims to identify and interpret latent information reflecting strategic guidelines and conditions for the economic development of Russian enterprises. The methodology of the study is based on the concepts of narrative economics and multimodal business analytics, which is a system of scientific-practical methods for analyzing the activities of economic entities through the use of data from heterogeneous sources. The Data Mining methods and tools for analyzing and systematizing large volumes of textual information were used. The data for research were retrieved from the annual reports of the largest Russian companies for 2018–2020. Among the main indicators of the business vocabulary transformation considered in the paper are the occurrence of unique key tokens (UKTs) and the dynamics of its change, as well as the main contexts of UKTs relevant to the problem of development. The findings indicate noticeable changes in the vocabulary of Russian companies’ annual reports, such as a decline in covering formal aspects of economic activity and a growing debate on the development in the presence of risk. It is shown that these trends were most clearly manifested in the reports of metallurgical and energy enterprises. The research results can serve as a basis for enhancing the analytical and predictive effectiveness of modern business analysis

No abstract

The use of traditional SWOT-analysis in a dynamic and uncertain external environment does not allow to reasonably form the company’s strategy based on assessments of the state of strengths, weaknesses, opportunities and threats. The reason is that the static assessments of the current state of internal and external factors, obtained from experts, are used to develop a long-term strategy, the implementation of which requires the implementation of organizational changes. The article proposes a new approach to strategic analysis, which consists in evaluating the dynamics of the strategic compliance of factors, taking into account the dispersion of expert opinions (SSMD-analysis). The basis of the algorithm for calculating the final evaluations is the method for determining the optimal intensity of strategic changes. Using the SSMD-analysis methodology based on public data for 2015–2020, an examination of the strategic compliance of factors of the external and internal environment of Aeroflot as of 2020 was conducted. It is concluded that the most relevant direction of the company’s development in 2020 was the accelerated replacement of leased aircraft with its own aircraft. The proposed method makes it possible to assess the dynamic portrait of the company’s interaction with its external environment in conditions of information uncertainty.

The goal of the research is to study tools of Data Mining to find latent nature of lexical transformation in annual reports of the state-owned corporation ‘Rosteck’ and to estimate perspectives of extending methodology of businessanalysis by tools of multimodal business-analysis. Identification of trends in vocabulary transformation in annual reports was done by finding indicator features of unique key lexical units and their contexts. The author used methods of multimodal business-analysis and tools of Data Mining to study corporate reports in order to identify the most important signs and trends in business-vocabulary transformation at enterprises and corporations, which is usually ignored by conventional business-analysis. Russian texts of annual reports of ‘Rosteck’ corporation for 2017– 2021 act as initial data for the research. As Data Mining tools the author used Workflow-model on the on-line platform for analysis and data visualization Orange Data Mining 3.3.2. The research showed a clear trend to renewal of the annual report content within the period of analysis. Such units as ‘работник’ (worker), ‘обучение’ (training), ‘платформа’ (platform), ‘трансформация’ (transformation), ‘инициатива’ (initiative) and ‘академия’ (academy) demonstrated maximum dynamics in frequency growth. Context analysis allowed the author to draw a conclusion that transformation in business vocabulary is based on the growing attention of the corporation to problems of digital transformation, development of digital platforms, realization of technological and socio-humanitarian strategic initiatives, raising the quality of workers’ qualification by training in corporate net academy. Implementation of these measures requires upgrading strategy of managing finance, corruption, market and other risks. Multimodal business-analysis is a promising trend in academic research and a tool for resolving applied economic and organizational-managerial problems.