The Convergence of Agile Methodologies, Data Governance, and Artificial Intelligence in ERP Ecosystem Modernization: A Strategic Approach to Operational Efficiency in High-Complexity Industrial Environments
The Convergence of Agile Methodologies, Data Governance, and Artificial Intelligence in ERP Ecosystem Modernization: A Strategic Approach to Operational Efficiency in High-Complexity Industrial Environments
DOI:
https://doi.org/10.51473/rcmos.v1i1.2025.1998Keywords:
ERP Modernization. Agile Methodologies. SAP S/4HANA. Data Governance. Artificial Intelligence. IT LeadershipAbstract
This scientific article proposes an in-depth analysis of the integration of agile methodologies, artificial intelligence (AI), and corporate governance in the modernization of Enterprise Resource Planning (ERP) systems, specifically within SAP environments. The research investigates how technical leadership, grounded in coaching principles and organizational psychology, acts as a catalyst in IT project management within multinational companies in the industrial sector. The transition from legacy systems to cloud architectures (SaaS) is explored, highlighting the critical role of data governance and Machine Learning Operations (MLOps) in risk mitigation and regulatory compliance. Grounded in theorists of project management, digital transformation, and leadership, the study demonstrates that the application of agile frameworks in robust infrastructure projects not only accelerates value delivery but also promotes a culture of continuous improvement. A detailed case study on the optimization of logistics and industrial flows is included, evidencing measurable gains in efficiency. It is concluded that the symbiosis between hard technical competence and soft leadership skills is decisive for technological sustainability in Industry 4.0.
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Copyright (c) 2025 Luis Paulo de Oliveira Campos (Autor)
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