Analytics as Competitive Advantage: A Multi-Level Enterprise Framework

This paper presents a multi-level enterprise analytics framework designed to help organizations leverage data as a source of sustainable competitive advantage. The study integrates concepts from business intelligence, data science, artificial intelligence, and strategic management to demonstrate how analytics maturity influences organizational performance. The proposed model evaluates analytics capability across operational, tactical, and strategic layers, emphasizing the role of data governance, AI ethics, decision-support systems, and predictive modeling. Through a synthesized literature review and comparison of global industry reports, the paper highlights how data-driven organizations achieve superior efficiency, innovation, and market positioning. This framework is intended as a practical reference for MBA students, data analysts, executives, and researchers working on enterprise transformation and digital strategy.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-09
DOI
https://doi.org/10.5281/zenodo.17862632
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Analytics as Competitive Advantage: A Multi-Level Enterprise Framework

Zenodo (CERN European Organization for Nuclear Research)
Big Data and Business Intelligence
article

Analytics as Competitive Advantage: A Multi-Level Enterprise Framework

article en

Abstract

This paper presents a multi-level enterprise analytics framework designed to help organizations leverage data as a source of sustainable competitive advantage. The study integrates concepts from business intelligence, data science, artificial intelligence, and strategic management to demonstrate how analytics maturity influences organizational performance. The proposed model evaluates analytics capability across operational, tactical, and strategic layers, emphasizing the role of data governance, AI ethics, decision-support systems, and predictive modeling. Through a synthesized literature review and comparison of global industry reports, the paper highlights how data-driven organizations achieve superior efficiency, innovation, and market positioning. This framework is intended as a practical reference for MBA students, data analysts, executives, and researchers working on enterprise transformation and digital strategy.

Zenodo (CERN European Organization for Nuclear Research)
Atlantic University College (PR), Florida Atlantic University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Big Data and Business Intelligence
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Analytics as Competitive Advantage: A Multi-Level Enterprise Framework · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS