Systematic Review on Exploring the Use of Data Science in Optimizing Enterprise Resource Planning Systems

Authors

  • Obontika Kanon Master of Computer Science Engineering, Standard University, United Kingdom
  • Arshadul khan Master of Business Administration, Department of Management Information System, University of Southern, Texas, US

Abstract

This systematic review explores the integration of data science into Enterprise Resource Planning (ERP) systems, emphasizing its transformative impact on operational efficiency and strategic decision-making. Synthesizing findings from 56 studies, it highlights the role of predictive analytics, machine learning, and natural language processing in optimizing ERP functionalities. The discussion addresses key challenges, including data quality, privacy concerns, and workforce readiness, alongside opportunities for leveraging advanced analytics and ethical frameworks. The study advocates for collaborative efforts and innovation to unlock the full potential of data-driven ERP systems, offering actionable insights for researchers and practitioners.

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Published

2024-11-26

Issue

Vol. 1 No. 01 (2024): Strategic Data Management and Innovation

Section

Articles