ОСОБЛИВОСТІ ВИКОРИСТАННЯ DATA SCIENCE У СФЕРІ БІЗНЕСУ

Abstract

The article considers the peculiarities of companies development in the conditions of innovations active introduction and users and business reorientation to the digital environment. The peculiarities of collecting, accumulating and processing large arrays of structured, semi-structured and unstructured information due to the use of cloud services are studied. The preconditions for the application of Data Science approaches for business needs and a significant increase in the demand for specialists with relevant skills and abilities in the near future are presented. The main approaches to collecting information in the digital environment are revealed, first of all it is about encouraging users to provide personal data in exchange for certain benefits (interesting and useful thematic content, discounts, free access to paid resources for a certain period of time, etc.). The expediency of using machine learning methods in the process of optimizing the company's activities and developing certain products is proved. Current examples of Data Science algorithms use that increase the efficiency of companies in modern conditions are given. The field of algorithms and approaches, including machine learning and artificial intelligence in the field of Data Science is very wide and includes a large number of methods. The use of data and the use of machine learning methods makes it possible to understand the specific needs of customers within individual groups, using classification approaches. Classification methods allow to build recommendation systems, which on the basis of complex information and appropriate algorithms show users relevant products. The use of sophisticated machine learning algorithms makes it possible to identify suspicious transactions and fraudulent activities in various areas of economic activity. Modern machine learning methods make it possible to implement very complex predictive models, including neural networks with different architectures. Thanks to the anticipation of the company get the opportunity to build effective strategies for the long term with a high probability of achieving the outlined targets.