Reshaping workforce agility through intelligent cloud HR: An empirical study on predictive analytics and employee lifecycle management using SAP HCM platforms

 

Balakrishna Teja Pillutla *

Independent researcher.
 
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2024, 13(01), 1156-1166.
Article DOI: 10.30574/wjaets.2024.13.1.0520
Publication history: 
Received on 14 September 2024; revised on 24 October 2024; accepted on 27 October 2024
 
Abstract: 
The research examines the transformation of workforce agility that occurs with predictive analytics integration on SAP HCM platforms within cloud-based HR systems. The research integrates case studies with empirical analysis to understand how predictive models create transformative benefits for managing employee lifecycles, acquiring talents, and planning workforces. The data indicates that SAP HCM predictive analytics integration enables better decision-making and better employee retention and develops an agile workforce. The research gives business organizations and human resource professionals knowledge about implementing cloud infrastructure in their HR processes to generate data-driven strategic decisions. Through predictive analytics organizations track workforce needs to stay prepared for upcoming market trend shifts. The research shows that functional cloud-based HR platforms enable organizations to preserve their business advantage whereas guiding essential human resource management system transformations.
 
Keywords: 
Workforce Agility; Predictive Analytics; Sap Hcm; Employee Lifecycle; Cloud Hr; Talent Management
 
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Copyright information: 
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0