Workday ERP: Revolutionizing Enterprise Resource planning and human capital management

Lakhamraju, Manoj Varma (2025) Workday ERP: Revolutionizing Enterprise Resource planning and human capital management. International Journal of Science and Research Archive, 14 (2). pp. 1598-1612. ISSN 2582-8185

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Abstract

Enterprise Resource Planning (ERP) systems have redefined how businesses manage critical processes like workforce planning, payroll, benefits administration, absence tracking, and talent management. However, traditional ERP systems often have limitations such as high implementation costs, lack of flexibility, and difficulty adapting to changing organizational needs. Workday ERP is a cloud-based solution that addresses these challenges by combining advanced features such as automation, real-time analytics, and predictive capabilities. Workday's HCM suite includes tools for workforce planning, payroll management, benefits management, absence management, time tracking, talent acquisition, and employee learning management. Its powerful reporting and dashboards provide actionable insights, while an enhanced data security framework ensures compliance with global standards. The platform also automates and seamlessly integrates changes, helping businesses adapt effectively at scale. This book examines these core components of Workday ERP and shows how they can simplify work, increase employee engagement, and drive business success. It also discusses the challenges of implementing an ERP system, solutions to overcome these challenges, and Workday’s future direction, including deep intelligence (AI), enterprise automation, and data warehousing innovations. By understanding these aspects, companies can make the most of their time and achieve greater productivity and long-term success.

Item Type: Article
Official URL: https://doi.org/10.30574/ijsra.2025.14.2.0535
Uncontrolled Keywords: Human Capital Management; Workday; Enterprise Resource Planning; Workforce Planning
Depositing User: Editor IJSRA
Date Deposited: 15 Jul 2025 17:18
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/900