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@article{183284,
        author = {Devanand Ramachandran},
        title = {Data Mapping and Migration in Large-Scale CRM Implementations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {1563-1569},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183284},
        abstract = {As organizations increasingly pursue digital transformation, customer relationship management (CRM) systems have become central to managing client interactions and driving strategic decision-making. However, successful CRM implementation hinges on the effectiveness of data mapping and migration—two foundational processes often underemphasized in project planning. This review explores the methodologies, tools, and emerging AI-driven innovations in CRM data migration, particularly in large-scale enterprise environments. Drawing from academic literature, case studies, and technical evaluations, it comprehensively synthesizes the challenges, current practices, and technological advances that shape the CRM migration landscape. Special attention is given to AI and automation’s growing role in enhancing accuracy, efficiency, and system adaptability. The review concludes with a proposed theoretical model and offers empirical insights through tables and graphs. Future research directions are also outlined, emphasizing the need for predictive migration planning, real-time quality monitoring, and deeper integration of explainable AI (XAI) tools.},
        keywords = {CRM Migration; Data Mapping; Data Integration; Artificial Intelligence; Enterprise Systems; Semantic Mapping; Data Quality; Digital Transformation; ETL; Metadata Management},
        month = {August},
        }