Using data and analytics to optimise the human resources processes

Anastasiia Danilkova, Volodymyr Bondar, Kateryna Bannikova, Svitlana Prokhorovska and Tetiana Vodolazhska

Data and Metadata, 2024, vol. 3, .243

Abstract: Introduction: Business development and HR management systems based on modern technologies open up significant prospects for companies to actively promote themselves in the market and achieve positive results in the context of HR management. Currently, many companies are implementing modern HR tools aimed at increasing efficiency and reducing ongoing risks at minimal cost. In this regard, HR analytics has become a necessary tool to help find information about employees and make informed decisions based on it. Objective. Given the relevance of the research topic, it becomes possible to determine its purpose, яка полягає в узагальненні та систематизації підходів до застосування інструментів, програмних продуктів та платформ для аналітики процесів управління персоналом з метою покращення загального економічного стану компанії. Methods. To achieve this goal, the general scientific methods of analysis, synthesis, generalisation, induction and deduction were used. Results. To achieve this goal, the following results were obtained: the essence of HR analytics and the possibilities of its application for personnel management were determined; software products and platforms for analysing personnel management processes were generalised; the main analytical tools used in the field of personnel management were systematised. It is proved that one of the most important areas of application of HR analytics is the recruitment process. Conclusions. With the help of data and new existing analytical methods, HR professionals have the opportunity to optimise recruitment procedures, identify suitable candidates, which will ultimately contribute to improving the company's condition, provided that the labour resources and intellectual capital are used in a rational and balanced manner

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:3:y:2024:i::p:.243:id:1056294dm2024243

DOI: 10.56294/dm2024.243

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