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Digital Transformation Routes, Data Mining Methods as a Preliminary Stage of Predictive Analytics in Corporate Financeстатья
- Авторы: Nikonova A., Krasilnikova E.
- Сборник: Technology & Entrepreneurship in Digital Society: TEDS’2019. Proceedings of the II International conference
- Год издания: 2020
- Место издания: Publishing house «Real economy» LLC Saint-Petersburg
- Первая страница: 31
- Последняя страница: 35
- DOI: 10.17747/TEDS-2019-31-35
- Аннотация: We focus on several areas of digital transformation. In particular, the possibility of applying predictive analytics in corporate finance is the key area for this paper. We have built probability models, which forecast a company moving along a life cycle curve. Also, these models are able to predict instability during company's life cycle. The models are based on logistic regres-sion, which is one of the key algorithms of data mining. Relying on our own survey conducted at a microelectronics plant, the lack of digital elements in the estimation of investment projects has been found. The hypothesis about the transformation of corporate relations has been formulated. In the future, this hypothesis may help to modify the theory of digital entrepreneurship.
- Добавил в систему: Магомедов Руслан Шарапутдинович