FEATURES OF USING DEEP ANALYTICS IN HUMAN RESOURCE MANAGEMENT IN THE RUSSIAN MARKET

Kharichkin Alexey Kirillovich

This article discusses the main trends in the automation of human resources management processes in the company. It focuses on the analysis of employee data and the external labor market, as well as the obstacles to the application of advanced analytics technologies. These obstacles include limited information availability, strict regulatory control over its’ use, and a lack of incentives in most organizations for in-depth research. In the main part of the paper, we present examples of popular human resources analytics tools based on big data and highlight the advantages of using machine learning algorithms. We draw conclusions about the current low level of personnel management automation, particularly regarding the loss of potential benefits from its’ implementation, present practical aspects of applying advanced data processing methods.

Keywords:HR analytics, human resources management systems, personnel management automation, machine learning, big data, digital transformation