Agile and Waterfall Methodologies in SAP Implementation: A Comparative Technical Study

Authors: Pavan Kumar Devarashetty

DOI: https://doi.org/10.5281/zenodo.14183844

Short DOI: https://doi.org/g8rc5k

Country: USA

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Abstract: This study presents a detailed comparison of Agile and Waterfall methodologies in the context of SAP implementation, focusing on determining the optimal approach for various project scenarios. SAP ERP implementations are inherently complex and require thorough planning, where the choice of methodology has a significant impact on project outcomes. By exploring the strengths, weaknesses, and practical use cases of both Agile and Waterfall, the study aims to provide an in-depth understanding of their applicability. The analysis includes critical success factors such as cost, flexibility, risk management, and project timelines. Through case studies and practical insights, this research serves as a comprehensive guide for project managers and stakeholders, helping them make informed decisions to enhance the success rates of SAP implementations. The findings highlight how situational factors and project-specific needs influence the effectiveness of each methodology, ultimately supporting better alignment with business objectives.

Keywords: Agile methodology, Waterfall methodology, SAP ERP implementation, project management methodologies, comparative analysis, Enterprise Resource Planning (ERP), software development lifecycle (SDLC), methodology selection criteria, implementation challenges, project success factors, cost efficiency in ERP projects, flexibility in SAP projects, risk management strategies, case study analysis, business process transformation, technical project considerations, SAP best practices, software engineering, Agile vs Waterfall in ERP, situational suitability in methodology selection.

Paper Id: 231580

Published On: 2023-01-05

Published In: Volume 11, Issue 1, January-February 2023

Cite This: Agile and Waterfall Methodologies in SAP Implementation: A Comparative Technical Study - Pavan Kumar Devarashetty - IJIRMPS Volume 11, Issue 1, January-February 2023. DOI 10.5281/zenodo.14183844

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