Analytics as Competitive Advantage: A Multi-Level Enterprise Framework
Year: 2025
Type: article
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.
Author: Serez, Can
Institution: Florida Atlantic University
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7111004423
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