Software for data analysis and prediction of bankruptcy of organizations in the fuel and energy complex

Abstract

At the present stage of the global economy development, identifying and predicting unfavourable trends in the organization’s development, including the prediction of bankruptcy, is becoming extremely important. The most accurate prediction can be made using various software applications. The paper describes the software for data analysis and prediction of bankruptcy of organizations in the fuel and energy complex, developed by the authors, its algorithm and modular structure. Its principle of operation is based on predicting the Altman’s Z-Score values in the medium term for the organization of the sector using machine learning, neural networks, and fuzzy models.