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Hariri, Ahmad
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Journal : Journal of Social Science Utilizing Technology

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Leveraging Big Data Analytics for Talent Management and Prediction in Human Resources Hariri, Ahmad; Prasetio, Rachmat; Al-Shammari, Abdullah; Kara, Sevda
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1780

Abstract

Background. The increasing complexity of workforce management in modern organizations has driven the adoption of innovative tools such as Big Data Analytics (BDA) in human resources (HR). Talent management, encompassing recruitment, retention, and performance evaluation, has become a critical focus for organizations aiming to maintain competitiveness. Big Data Analytics enables HR professionals to identify patterns, predict trends, and make data-driven decisions, enhancing talent management processes. Despite its potential, the application of BDA in HR faces challenges, including data integration, privacy concerns, and skill gaps. Purpose. This study explores the role of Big Data Analytics in improving talent management and prediction, focusing on its impact on decision-making and organizational outcomes. Method. A mixed-method research design was employed, incorporating quantitative analysis of HR metrics and qualitative insights from interviews with HR professionals. Data were collected from 15 organizations across diverse industries, analyzing employee performance, recruitment patterns, and turnover rates. Predictive models were developed using machine learning algorithms to forecast talent trends and inform HR strategies. Results. The findings revealed that BDA significantly improved talent acquisition and retention processes, with a 25% increase in recruitment efficiency and a 30% reduction in turnover rates. Predictive models accurately identified high-potential candidates and flagged at-risk employees, enabling proactive interventions. Challenges related to data privacy and technical expertise were highlighted as areas for improvement. Conclusion. The study concludes that leveraging Big Data Analytics transforms talent management by enabling evidence-based decision-making and predictive insights. Addressing implementation challenges and investing in skill development will maximize its potential in HR practices.
Co-Authors Abdullah, Anton Agus Rochmat Ahmad Hasmi Al-Shammari, Abdullah Amalia, Direstu Anhar, Hazel Aryaputra Arie Wardhono Bambang Satoto, Bambang Budiati, Tri Asih Budiyanto, Albert Daniel Dewantoro Rumani edy susanto EKO HARIADI Endrawati, Rizki Ocsera Fajrin, Noer Gatot Santosa, Gatot Genny Luhung Prasojo Guterres, Bryan Christiano Inigo Hadi Prayitno Herdian, Rofik Sandra Ikhwanul Qiram iswahyudi, Prasetyo Jakfar Kara, Sevda Luwihono, Andung Marini Masito, Fitri Minulya Eska Nugraha Mubarok, Ahmad Nasrullah, Muhammad Nur Cahyo Hidayat Pesilette, M Sukri Pesilette, Mohammad Syukri Prasetio, Rachmat Prasojo, Genny Luhung Ridho Rinaldi Rifki Arif Rini Indrati, Rini Sabang, Yusmiaty Siswadhi, Tamara Maharani Sukahir, Sukahir Sunardi Sunardi Sutiyo Sutiyo Wahyuni, Wilda Wibowo, Untung Lestari Nur Wicaksono, Putra Wildan Nugraha Wirawan, Yani Yudha Yeti Komalasari Yuniar, Dwi Candra Zaenal Abidin Zulkarnain , Ahnis