EVOLUTION OF ASSET ATTRIBUTION IN FINOPS: ANALYZING ENTERPRISE APPROACHES IN THE MULTI-CLOUD ERA

Authors

  • Raghu Venkatesh Atlassian, USA Author

Keywords:

FinOps, Cloud Cost Management, Cost Attribution Accuracy, Real-time Cost Allocation, Automated Tagging, Digital Transformation, Cloud Infrastructure

Abstract

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/

FinOps Foundation, "FinOps Maturity: Using the Model to Assess your Capabilities," 2024. [Online]. Available: https://www.finops.org/insights/finops-maturity-model/

Gilad David Maayan, “Cost Saving Strategies on the Public Cloud”. Available: https://www.computer.org/publications/tech-news/trends/cost-saving-strategies-on-the-public-cloud

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

Gartner, "The State of FinOps for Data and Analytics," 2024. Available: https://www.gartner.com/en/documents/4857831

McKinsey & Company, "The FinOps Way: How to Avoid the Pitfalls to Realizing Cloud’s Value," January 2023. Available: https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/the-finops-way-how-to-avoid-the-pitfalls-to-realizing-clouds-value/the-finops-way-how-to-avoid-the-pitfalls-to-realizing-clouds-value.pdf

Flexa Cloud, "FinOps maturity: how is the financial management of the cloud in your company?," Technical Report, 2024. Link: https://flexa.cloud/en/maturity-matrix-in-finaps/

Frank York, CloudSaver, "FinOps Cloud Cost Management: A Process to Proficiency," Best Practices Guide, 2024. Link: https://www.cloudsaver.com/resources/articles/finops-cloud-cost-management-a-process-to-proficiency/

Published

2024-11-20

How to Cite

Raghu Venkatesh. (2024). EVOLUTION OF ASSET ATTRIBUTION IN FINOPS: ANALYZING ENTERPRISE APPROACHES IN THE MULTI-CLOUD ERA. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 7(2), 1434-1448. https://ijrcait.com/index.php/home/article/view/IJRCAIT_07_02_111