The Effectiveness of Data Analytics Tools in the Implementation of Human Resource Management Strategies

The application of data analytics tools in the field of human resource (HR) management is becoming the most urgent issue in view of the growing need to optimize management processes. The aim of this research is to study the influence of analytical technologies on the improvement of decision- making processes in HR management. The research employs the methods of statistical analysis, comparative and survey methods with secondary data processing. The article outlines key data analytics tools: Tableau, Power BI and SAP SuccessFactors; their role in increasing productivity and reducing staff turnover is determined. The results of the study demonstrate that the effective implementation of analytical solutions enables companies to increase the accuracy of forecasts regarding employee productivity and improve management processes. The article also analyses the main challenges that organizations face when integrating analytical systems, including the lack of skilled personnel and the complexity of technology integration. The practical significance of the study is recommendations for optimizing the implementation of analytical tools to increase the effectiveness of HR management. Further research can be aimed at exploring innovative approaches to integrating analytics into business processes and further improving technologies for HR management.

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Publication Details

Journal
International Review of Management and Marketing
Published
2025-02-15
DOI
https://doi.org/10.32479/irmm.17925
Citations
1
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
2.76
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article

The Effectiveness of Data Analytics Tools in the Implementation of Human Resource Management Strategies

Dmytro Kobets, Krystyna Kovalska, Nataliia Zozulia, Tamara Lozynska et al.
1 citations
International Review of Management and Marketing
AI and HR Technologies
2.76
article

The Effectiveness of Data Analytics Tools in the Implementation of Human Resource Management Strategies

Dmytro Kobets, Krystyna Kovalska, Nataliia Zozulia, Tamara Lozynska, Mariia Zaslavska
article en
1 citations

Abstract

The application of data analytics tools in the field of human resource (HR) management is becoming the most urgent issue in view of the growing need to optimize management processes. The aim of this research is to study the influence of analytical technologies on the improvement of decision- making processes in HR management. The research employs the methods of statistical analysis, comparative and survey methods with secondary data processing. The article outlines key data analytics tools: Tableau, Power BI and SAP SuccessFactors; their role in increasing productivity and reducing staff turnover is determined. The results of the study demonstrate that the effective implementation of analytical solutions enables companies to increase the accuracy of forecasts regarding employee productivity and improve management processes. The article also analyses the main challenges that organizations face when integrating analytical systems, including the lack of skilled personnel and the complexity of technology integration. The practical significance of the study is recommendations for optimizing the implementation of analytical tools to increase the effectiveness of HR management. Further research can be aimed at exploring innovative approaches to integrating analytics into business processes and further improving technologies for HR management.

International Review of Management and MarketingVol. 15(2)
Khmelnytskyi National University (UA), National Transport University (UA), Poltava State Agrarian University (UA), Liverpool Hope University (GB), V. N. Karazin Kharkiv National University (UA)
Openalex Percentile: Top 12%
AI and HR Technologies
2.76
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The Effectiveness of Data Analytics Tools in the Implementation of Human Resource Management Strategies — Dmytro Kobets, Krystyna Kovalska, et al. · International Review of Management and Marketing (2025) | TGRS Research Map | TGRS