Modernizing ERP Data Systems for Data Science Integration: A Technical Guide

This technical article presents a comprehensive framework for modernizing Enterprise Resource Planning (ERP) systems to integrate advanced data science capabilities. The article explores the evolution from traditional ERP implementations to AI-enabled systems, covering critical aspects including assessment methodologies, data integration strategies, analytics platform setup, machine learning infrastructure, and security implementations. Through detailed analysis of enterprise implementations, the article demonstrates how organizations can successfully transform their ERP systems while maintaining operational stability and enhancing business value. The article provides practical approaches for addressing challenges in data quality, system scalability, and performance optimization while emphasizing the importance of continuous improvement and future-proofing strategies.

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Publication Details

Journal
International Journal of Advances in Engineering and Management
Published
2025-02-01
DOI
https://doi.org/10.35629/5252-07023947
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Modernizing ERP Data Systems for Data Science Integration: A Technical Guide

Prakash Babu Sankuri
International Journal of Advances in Engineering and Management
Big Data and Business Intelligence
article

Modernizing ERP Data Systems for Data Science Integration: A Technical Guide

Prakash Babu Sankuri
article en

Abstract

This technical article presents a comprehensive framework for modernizing Enterprise Resource Planning (ERP) systems to integrate advanced data science capabilities. The article explores the evolution from traditional ERP implementations to AI-enabled systems, covering critical aspects including assessment methodologies, data integration strategies, analytics platform setup, machine learning infrastructure, and security implementations. Through detailed analysis of enterprise implementations, the article demonstrates how organizations can successfully transform their ERP systems while maintaining operational stability and enhancing business value. The article provides practical approaches for addressing challenges in data quality, system scalability, and performance optimization while emphasizing the importance of continuous improvement and future-proofing strategies.

International Journal of Advances in Engineering and ManagementVol. 7(2)
Openalex Percentile: Top 96%
Big Data and Business Intelligence
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