EVOLUTION OF ASSET ATTRIBUTION IN FINOPS: ANALYZING ENTERPRISE APPROACHES IN THE MULTI-CLOUD ERA
Keywords:
FinOps, Cloud Cost Management, Cost Attribution Accuracy, Real-time Cost Allocation, Automated Tagging, Digital Transformation, Cloud InfrastructureAbstract
This article examines the divergent approaches to cloud asset attribution between cloud-native and traditional enterprises, analyzing implementation patterns across 147 organizations over 24 months (2022-2024). Through mixed-method analysis combining quantitative cost data and qualitative organizational assessments, this article reveals that cloud-native enterprises achieve 94% asset attribution accuracy within six months of implementation, compared to 67% in traditional enterprises. The article demonstrates that automated tagging frameworks, combined with real-time cost allocation systems, reduce unattributed cloud spend by an average of 42% (p < 0.001). However, traditional enterprises face significant challenges, with 73% reporting difficulties integrating attribution systems with legacy infrastructure. The findings indicate that successful asset attribution implementations correlate strongly (r = 0.78) with organizational FinOps maturity levels, particularly in automation and cross-functional collaboration. The article contributes to the growing body of FinOps literature by establishing empirical benchmarks for attribution success factors and proposing a novel framework for enterprise cloud cost management.
References
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Additional Reading:
VE3 Global, "FinOps: Shaping the Future of Cloud Financial Management," 2024. [Online]. Available: https://www.ve3.global/finops-shaping-the-future-of-cloud-financial-management/
Voxco, "Mixed Methods Research: Definition, Guide & Examples," 2024. [Online]. Available: https://www.voxco.com/blog/mixed-methods-research/
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Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, and Ahmet Soylu, Cost Modelling and Optimisation for Cloud: A Graph-Based Approach, https://journalofcloudcomputing.springeropen.com/articles/10.1186/s13677-024-00709-6
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