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AI and ML-Driven Decision Intelligence Integrating Big Data and ERP for Strategic Excellence

by Swetha Chinta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 45
Year of Publication: 2025
Authors: Swetha Chinta
10.5120/ijca2025925662

Swetha Chinta . AI and ML-Driven Decision Intelligence Integrating Big Data and ERP for Strategic Excellence. International Journal of Computer Applications. 187, 45 ( Sep 2025), 40-45. DOI=10.5120/ijca2025925662

@article{ 10.5120/ijca2025925662,
author = { Swetha Chinta },
title = { AI and ML-Driven Decision Intelligence Integrating Big Data and ERP for Strategic Excellence },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2025 },
volume = { 187 },
number = { 45 },
month = { Sep },
year = { 2025 },
issn = { 0975-8887 },
pages = { 40-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number45/ai-and-ml-driven-decision-intelligence-integrating-big-data-and-erp-for-strategic-excellence/ },
doi = { 10.5120/ijca2025925662 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-09-30T15:40:33.534984+05:30
%A Swetha Chinta
%T AI and ML-Driven Decision Intelligence Integrating Big Data and ERP for Strategic Excellence
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 45
%P 40-45
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the digital transformation age, AI and ML powered decision intelligence have emerged as a critical factor for organizations in their quest to enhance their strategic decision-making. Based on this reasoning, in this paper we explore the role of Big Data in the context of Enterprise Resource Planning (ERP) systems toward establishing data-driven strategic excellence. ERP systems do great on operational management, however, they do not own real-time, intelligent and adaptive systems. Organizations use AI and ML algorithms to process this data for actionable insights, optimize resource allocation, and improve the precision of predictive analytics for enhanced traffic management. This study illustrates an AI-driven Enterprise Resource Planning (ERP) framework applied to an organizational context and its impact on the automation of processes, anomaly detection, and demand prediction is described. Empirical validation of the impact of decision intelligence on agility, efficiency, and competitive advantage. The document findings have demonstrated the transformation potential of the AI-ERP symbiosis that can revolutionize the modern-day enterprises while serving as a catalyst for smarter and sustained growth.

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Index Terms

Computer Science
Information Sciences

Keywords

AI Machine Learning Decision Intelligence Big Data ERP Predictive Analytics Strategic Excellence

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