Abstract
Most organizations undergo rigorous Enterprise resource planning (ERP) system implementation projects along their journey towards digital transformation and business systems modernization. These ERP systems meet the business requirements of integrating data and processes across the various business domains of finance, sales, warehouse, manufacturing, global trade, human resources, etc. A critical aspect of any ERP implementation is data migration for a source or legacy system to the newly implemented target ERP system. For an organization to truly leverage the big data, machine learning and data automation capabilities offered by modern ERP systems, it is imperative that project implementation teams define and executed an enhanced data migration plan ensuring data quality, accuracy and completeness, as well as establishing data governance processes for ongoing operations. The article aims to explore the components of such an effective, all-encompassing data migration strategy and execution and the future trends around the same.
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