The use of Big Data technologies in the personnel management of the bakery industry: opportunities and challenges

Abstract

This article discusses the prospects and problems of using big Data technologies in the field of human resource management in the bakery industry. The relevance of this topic is due to the rapid development of information technology and the increasing role of data in managerial decision-making at bakery enterprises. The purpose of the study is to identify the key opportunities and challenges associated with the use of Big Data in HR management in the field of bakery. Research materials and methods include the analysis of scientific literature, statistical data and real-world cases of the use of big data technologies in the personnel management of bakeries and bakeries. In particular, publications on the use of HR analytics in the food industry, as well as data on the implementation of Big Data in the bakery industry, were studied. The results of the study show that the use of big data technologies opens up significant opportunities for optimizing human resource management processes in the field of bakery. Thus, the use of predictive models allows for a 25-30% increase in the accuracy of forecasting the need for personnel in bakeries and a 20% improvement in the quality of employee recruitment in bakeries. At the same time, the introduction of Big Data into the HR processes of bakery enterprises is associated with a number of challenges, including the need to ensure the confidentiality of personal data, the need for specialists with competencies at the interface of HR and data analytics, as well as the complexity of integrating disparate sources of personnel information. To overcome these challenges, companies in the bakery industry need to develop a clear strategy for digitalizing HR, invest in the development of analytical skills of employees and ensure that the practices used comply with the norms of legislation on personal data protection.