In the constantly evolving and highly competitive modern world, talent management has become a crucial aspect of any organization's success. The conventional techniques of managing human resources are no longer sufficient to cater to the ever-increasing demands for efficiency and effectiveness in operations. With advancements in automation technology coupled with HR analytics tools, businesses have an opportunity to revolutionize their approach towards talent management practices. Therefore, it is essential for companies to embrace these changes if they want to remain relevant and achieve sustainable growth in this fast-paced digital era. This research analyses using data visualization tools how automation and HR analytics can be leveraged for successful talent management in the changing business landscape. Retaining skilled employees is crucial for organizational growth, but technological advancements have made talent management more complex than ever before. We suggest investing in learning platforms which can help organizations provide advanced training programs on emerging technologies like AI and big data analytics.

Attrition, automation, HR, talent, talent management

Afzal, M., & Ansari, A. H. (2022). Impact of HR matrices on HR analytics and decision making. Smart Innovation, Systems and Technologies, 251. https://doi.org/10.1007/978-981-16-3945-6_21

Al Harthy, M. A. (2022). Leveraging technology in learning & development. Society of Petroleum Engineers—ADIPEC. https://doi.org/10.2118/210794-MS

Ali, E., & Elias, H. (2023). Potential application of HR analytics to talent management in the public sector: A literature review. 2023 International Conference on Cyber Management and Engineering, CyMaEn. https://doi.org/10.1109/CyMaEn57228.2023.10051107

Arora, M., Prakash, A., Mittal, A., & Singh, S. (2021). HR analytics and artificial intelligence-transforming human resource management. 2021 International Conference on Decision Aid Sciences and Application, DASA 2021. https://doi.org/10.1109/DASA53625.2021.9682325

Bagchi, M. J., & Pattnaik, A. (2021). Talent analytics and its affect on employee retention-employee perspective. Journal of Positive School Psychology, 2022(3).

Batovrina, E. V., Oparina, N. N., & Cherniaeva, G. V. (2022). Modern HR analytics: Digital opportunities in assessing the effectiveness of personnel management. Lecture Notes in Networks and Systems, 380. https://doi.org/10.1007/978-3-030-94245-8_58

Bhattacharya, S. (2021). AI in talent management for business excellence. In Industry 4.0 technologies for business excellence: Frameworks, practices, and applications. https://doi.org/10.1201/9781003140474-15

Bokatenko, I. Y., & Sidorov, N. V. (2021). HR analytics, people analytics, workforce analytics and talent analytics. What is the difference between them. Normirovanie i Oplata Truda v Promyshlennosti (Rationing and Remuneration of Labor in Industry), 8. https://doi.org/10.33920/pro-3-2108-06

Cho, W., Choi, S., & Choi, H. (2023). Human resources analytics for public personnel management: Concepts, cases, and caveats. In Administrative Sciences, 13(2). https://doi.org/10.3390/admsci13020041

Chung, D., Yun, J., Lee, J., & Jeon, Y. (2023). Predictive model of employee attrition based on stacking ensemble learning. Expert Systems with Applications, 215. https://doi.org/10.1016/j.eswa.2022.119364

Erokhin, D., Vestimaia, L., & Trutnev, O. (2020). Economic and psychological features of using digital technologies in business processes and personnel management. Ergodesign, 1. https://doi.org/10.30987/2658-4026-2020-1-32-38

Fernandez, J. (2019). The ball of wax we call HR analytics. Strategic HR Review, 18(1). https://doi.org/10.1108/shr-09-2018-0077

Fernandez, V., & Gallardo-Gallardo, E. (2021). Tackling the HR digitalization challenge: Key factors and barriers to HR analytics adoption. Competitiveness Review, 31(1). https://doi.org/10.1108/CR-12-2019-0163

Ferreira, C., Robertson, J., & Pitt, L. (2023). Business (un)usual: Critical skills for the next normal. Thunderbird International Business Review, 65(1). https://doi.org/10.1002/tie.22276

Gärtner, C., & Kern, D. (2021). Smart HRM in 2030: Conversational HR, connected robotics, and controlled analytics. https://doi.org/10.1007/978-3-030-65173-2_13

Ghatak, R. (2022). Data and social, mobile, analytics, cloud (SMAC). https://doi.org/10.1007/978-981-19-3873-3_5

Gifford, J., Young, J., Baczor of the Cipd, L., Barends, E., Cioca, I., Rousseau, D., & Wietrak, E. (2021). Employee engagement: Definitions, measures and outcomes. CIPD. https://www.cipd.org/globalassets/media/knowledge/knowledge-hub/evidence-reviews/
employee-engagement-discussion-report_tcm18-89598.pdf

Gupta, S., & Sharma, R. R. K. (2022). Relating the use of different type of HR analytics in different strategic firms with the use of social media within the organization. IEEE International Conference on Industrial Engineering and Engineering Management, 2022-December. https://doi.org/10.1109/IEEM55944.2022.9989675

Gurusinghe, R. N., Arachchige, B. J. H., & Dayarathna, D. (2021). Predictive HR analytics and talent management: A conceptual framework. Journal of Management Analytics, 8(2). https://doi.org/10.1080/23270012.2021.1899857

Hanna, P. (2021). Trends of development of the use of digital technologies in personnel management. Scientific Bulletin of Kherson State University. Series Economic Sciences, 41. https://doi.org/10.32999/ksu2307-8030/2021-41-10

Hemanth Kumar, T., Naga Kumari, Y. V, Rao, A. N., Leela, C., Kumari, M., Janaki, G., Lakshmi, P.A., Siva, J., & Krishna, S. (2022). HR analytics as a moderating role in effective employee engagement and its outcomes. Researchgate.Net, 20(8).

Jewani, K., Bhuyar, A., Kaul, A., Mahale, C., & Kamat, T. (2021). Smart employment system: An HR recruiter. Smart Innovation, Systems and Technologies, 195.
https://doi.org/10.1007/978-981-15-7078-0_75

Kale, H., Balvant, N., & Anute, N. (2022). HR analytics and its impact on organizations performance. International Journal of Research and Analytical Reviews, 9(3).

Karwehl, L. J., & Kauffeld, S. (2021a). Traditional and new ways in competence management: Application of HR analytics in competence management | Traditionelle und neue Wege im Kompetenzmanagement: Anwendung von HR Analytics im Kompetenzmanagement. Gruppe Interaktion Organisation Zeitschrift Fur Angewandte Organisationspsychologie, 52(1).

Karwehl, L. J., & Kauffeld, S. (2021b). Traditional and new ways in competence management: Application of HR analytics in competence management. Gruppe Interaktion Organisation. Zeitschrift Fur Angewandte Organisationspsychologie, 52(1). https://doi.org/10.1007/s11612-021-00548-y

Kaur, G., & Kaur, R. (2022). A critical review on analysis of human resource functions using AI technologies. AIP Conference Proceedings, 2555. https://doi.org/10.1063/5.0108980

Konovalova, V. G., Aghgashyan, R. V., & Galazova, S. S. (2021). Perspectives and restraining factors of HR analytics in the conditions of digitization of human resources management. In E. G. Popkova, V. N. Ostrovskaya & A. V. Bogoviz (Eds.), Studies in systems, decision and control (Vol. 314). Springer. https://doi.org/10.1007/978-3-030-56433-9_106

KPMG International. (2022). The future of HR: From flux to flow. Https://Assets.Kpmg/Content/Dam/Kpmg/Xx/Pdf/2022/11/the-Future-of-Hr-Report.Pdf.

Madhvapaty, H., & Rajesh, A. (2018). HR tech startups in India. Human Resource Management International Digest, 26(3). https://doi.org/10.1108/HRMID-10-2017-0159

Majam, T., & Jarbandhan, D. B. (2022). Data driven human resource management in the fourth industrial revolution (4IR). Africa’s Public Service Delivery & Performance Review, 10(1). https://doi.org/10.4102/apsdpr.v10i1.588

Mishra, S. S., Kunte, M., Neelam, N., Bhattacharya, S., & Mulay, P. (2021). HR process automation: A bibliometric analysis. Library Philosophy and Practice. https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=10290&context=libphilprac

Mukherjee, A., Bhattacharya, D., Chatterjee, S., Majumdar, A., & Dey, T. (2021). HRM analytics in competency mapping. Globsyn Management Journal, 15(1).

Panova, E. A., Oparina, N. N., & Bondareva, L. V. (2022). Talent management: Tasks and challenges for a digital tomorrow. Lecture Notes in Networks and Systems, 398. https://doi.org/10.1007/978-3-030-94870-2_37

Romanov, M. (2021). Priority technologies for the adoption of digitalised human resources management in hospitality industry. SHS Web of Conferences, 110. https://doi.org/10.1051/shsconf/202111002011

Sahay, U., & Kaur, G. (2022). Enabling organizational performance through HR automation and behavioral competencies. AIP Conference Proceedings, 2644. https://doi.org/10.1063/5.0104475

Saputra, A., Wang, G., Zhang, J. Z., & Behl, A. (2022). The framework of talent analytics using big data. TQM Journal, 34(1). https://doi.org/10.1108/TQM-03-2021-0089

Saxena, M., & Pradesh, U. (2021). HR analytics’ literature analysis from 2002–2019. International Journal of Mechanical Engineering, 6(2).

Shet, S., & Nair, B. (2022). Quality of hire: Expanding the multi-level fit employee selection using machine learning. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-06-2021-2843

Sivarethinamohan, R., Kavitha, D., Koshy, E. R., & Toms, B. (2021). Reimagining future of future by redesigning talent strategy in the age of distraction and disruption. International Journal of Systematic Innovation, 6(4). https://doi.org/10.6977/IJoSI.202106_6(4).0003

Suvalova, T. (2022). Requirements for HR specialist 2022. Management of the Personnel and Intellectual Resources in Russia, 11(1). https://doi.org/10.12737/2305-7807-2022-11-1-59-63

Uma, V. R., Velchamy, I., & Upadhyay, D. (2023). Recruitment analytics: Hiring in the era of artificial intelligence. In P. Tyagi, N. Chilamkurti, S. Grima, K. Sood & B. Balusamy (Eds.), The adoption and effect of artificial intelligence on human resources management, Part A. Emerald Publishing. https://doi.org/10.1108/978-1-80382-027-920231008

Utomo, A., Indiyati, D., & Ramantoko, G. (2021). Talent acquisition implementation with people analytic approach. Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences, 4(1). https://doi.org/10.33258/birci.v4i1.1584

Vatousios, A., & Happonen, A. (2021). Renewed talent management: More productive development teams with digitalization supported HR tools. International Journal of Engineering & Technology, 10(2). https://doi.org/10.14419/ijet.v10i2.31705

Vural Allaham, M. (2022). Bibliometric analysis of HR analytics literature. Elektronik Sosyal Bilimler Dergisi. https://doi.org/10.17755/esosder.950426