Challenges in Implementing Human Resource Analytics

Digital transformation and artificial intelligence encourage HR professionals to concentrate on HR technology in order to develop skills and competencies for strategic advantage. Nowadays, HR professionals are involved in strategic decision-making as well as administrative responsibilities, necessitating the application of data analytics in human resources. HR analytics is a data-driven method that enables human resources professionals to make educated, evidence-based choices. An evidence-based choice can only be made with data, and it is difficult for HR professionals to translate HR data into strategic value. To properly integrate HR Analytics, HR professionals must first understand the problems they experience throughout implementation and application. This study seeks to identify the issues that HR professionals experience while applying HR analytics and to provide realistic solutions. HR has considerable hurdles in deploying HR analytics, including a lack of data analytics expertise, privacy and compliance, data variety, and technologies, among other things.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-05
DOI
https://doi.org/10.5281/zenodo.13892822
Primary Topic
AI and HR Technologies
Type
article
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article

Challenges in Implementing Human Resource Analytics

Zenodo (CERN European Organization for Nuclear Research)
AI and HR Technologies
article

Challenges in Implementing Human Resource Analytics

article en

Abstract

Digital transformation and artificial intelligence encourage HR professionals to concentrate on HR technology in order to develop skills and competencies for strategic advantage. Nowadays, HR professionals are involved in strategic decision-making as well as administrative responsibilities, necessitating the application of data analytics in human resources. HR analytics is a data-driven method that enables human resources professionals to make educated, evidence-based choices. An evidence-based choice can only be made with data, and it is difficult for HR professionals to translate HR data into strategic value. To properly integrate HR Analytics, HR professionals must first understand the problems they experience throughout implementation and application. This study seeks to identify the issues that HR professionals experience while applying HR analytics and to provide realistic solutions. HR has considerable hurdles in deploying HR analytics, including a lack of data analytics expertise, privacy and compliance, data variety, and technologies, among other things.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 45%
AI and HR Technologies
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