DOI: https://doi.org/10.63345/ijrmeet.org.v13.i5.130506
Dr. Anuja Sengupta
Independent Researcher
Tripura, India
Abstract
Data migration is a critical process in modern enterprise systems, particularly within Human Capital Management (HCM) environments where the integrity, accuracy, and timeliness of employee data are essential. This manuscript examines techniques for effective data migration using the HCM Data Loader (HDL), a specialized tool designed to facilitate the seamless transfer of large volumes of HR data into integrated HCM systems. By reviewing existing literature and comparing various migration methodologies, the paper proposes a structured approach to data migration that minimizes downtime and data quality issues.
The study identifies key strategies, including pre-migration validation, iterative testing, parallel run phases, and post-migration audits, which ensure that data is accurately transferred and aligned with business requirements. The manuscript concludes with a discussion of results and recommendations for future improvements in HDL-based data migration practices.
Keywords
Data Migration; HCM Data Loader; Human Capital Management; Data Integrity; Migration Methodologies; HR Data
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