Analytics as Competitive Advantage: A Multi-Level Enterprise Framework
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Zenodo
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| Format: | Recurso digital |
| Sprache: | Englisch |
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Zenodo
2025
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| _version_ | 1866901630252744704 |
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| author | Serez, Can |
| author_facet | Serez, Can |
| contents | <p>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.</p> <p>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.</p> <p>This framework is intended as a practical reference for MBA students, data analysts, executives, and researchers working on enterprise transformation and digital strategy.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17862632 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Analytics as Competitive Advantage: A Multi-Level Enterprise Framework Serez, Can Analytics Business Intelligence MBA Enterprise Strategy AI Governance Predictive Modeling Digital Transformation <p>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.</p> <p>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.</p> <p>This framework is intended as a practical reference for MBA students, data analysts, executives, and researchers working on enterprise transformation and digital strategy.</p> |
| title | Analytics as Competitive Advantage: A Multi-Level Enterprise Framework |
| topic | Analytics Business Intelligence MBA Enterprise Strategy AI Governance Predictive Modeling Digital Transformation |
| url | https://doi.org/10.5281/zenodo.17862632 |