Risk-Aware Migration Strategies For Enterprise ERP Systems In Regulated Industries

Abstract

ERP machine shifts from conventional platforms to subsequent-generation in-memory systems are foundational inflection points for groups in incredibly regulated environments. Present-day ERP systems integrate new technology such as artificial intelligence, gadget mastering, blockchain, and net of things functionality, redefining enterprise resource planning paradigms at their center and bringing state-of-the-art validation needs and compliance troubles. In-memory computing frameworks take advantage of column-primarily storage systems with sophisticated compression techniques, compressing data in ratios of ten-to-one to 100-to-one and helping real-time transactional and analytical workloads within converged data environments. Regulative complexities increase as firms have to meet requirements of more than one framework, such as electronic records management standards, good practice guidance, financial reporting controls, and data protection regulations simultaneously. Greenfield reimplementation, brownfield conversion, and selective data transition strategies selection of migration approach necessitates judicious consideration using extensive financial methods such as net present value analysis, internal rate of return measures, and payback period determination. Top management support, business process reengineering, project management methods, vendor choices, communication practices, and user training are critical success factors that become crucial to implementation results. Risk-sensitive frameworks incorporating compliance integration, readiness evaluation, and data validation procedures across transformation life cycles allow companies to attain operational progress and regulatory consistency within highly regulated sectors.