Using big data technologies in forming the risk management system of entrepreneurial structures
Автор: Osipov K.A.
Журнал: Теория и практика сервиса: экономика, социальная сфера, технологии @tps-esst
Рубрика: Менеджмент, государственное и муниципальное управление
Статья в выпуске: 2 (40), 2019 года.
Бесплатный доступ
The article examines the current trends in the development and use of risk management technology of business structures. One of the key ideas in this direction is the idea of using Big Data technologies in the risk assessment and management system. A separate block describes the sources of Big Data formation, provides a brief overview of the Big Data technology market. The use of Big Data technologies is a necessary step to maintain the competitiveness of enterprises now. The implementation of relevant information systems is a complex technological innovation and requires significant organizational changes. Applying the concept of lean manufacturing for startups (Lean Startup) allows you to make changes with minimal expenditure of resources and get the most effective system. Currently, enterprises must work with large amounts of information, which is often updated and comes from different sources. With the help of Big Data technologies, enterprises can analyze vast amounts of data and identify useful patterns that give them competitive advantages. For easier perception and quick management decisions, it is necessary to present the results of data analysis visually. Now there are several types of data arrays. But existing visualization methods are still underdeveloped and need to be improved. In connection with the foregoing, the mechanism of using Big Data technology in business process management is relevant at present.
Risk assessment, big data, technologies, information, enterprise, lean manufacturing, minimum working version
Короткий адрес: https://sciup.org/148319241
IDR: 148319241