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Optimizing Enterprise Data Platform Costs through Usage-Based Attribution and Show-back Mechanisms

Author(s) Dinesh Thangaraju
Country United States
Abstract In today's data-driven business landscape, enterprises are grappling with the exponential growth of data and the associated costs of managing their complex data platforms. As organizations strive to leverage data to drive innovation and competitive advantage, the need for effective cost management strategies has become increasingly critical.
This paper presents a comprehensive framework that addresses the challenge of optimizing enterprise data platform costs through the strategic use of usage-based attribution and show-back mechanisms. The abstract outlines the key elements of this framework, which aims to provide organizations with the necessary tools and insights to effectively manage their data infrastructure expenses while supporting ongoing business growth and transformation. At the core of the framework are strategies for cost optimization, resource utilization, and financial allocation. By implementing granular usage tracking and metering capabilities, the framework enables organizations to gain visibility into how different business units, teams, and applications are consuming data platform resources. This data-driven approach allows for more accurate cost allocation and accountability, empowering stakeholders through transparent "show-back" mechanisms. Additionally, the paper explores techniques for optimizing the utilization of storage, compute, and networking resources, aligning provisioning with actual usage patterns to drive greater efficiency and reduce over-provisioning. The financial allocation strategies outlined in the abstract aim to ensure fair and transparent cost distribution that is closely aligned with the organization's broader business objectives and priorities. By adopting this comprehensive framework, enterprises can effectively manage their data infrastructure expenses while simultaneously supporting their ongoing digital transformation and innovation initiatives. The strategies presented in this paper provide a roadmap for organizations to optimize their data platform costs in a sustainable and data-driven manner.
Keywords -
Field Engineering
Published In Volume 3, Issue 8, August 2022
Published On 2022-08-05
Cite This Optimizing Enterprise Data Platform Costs through Usage-Based Attribution and Show-back Mechanisms - Dinesh Thangaraju - IJLRP Volume 3, Issue 8, August 2022. DOI 10.5281/zenodo.15051061
DOI https://doi.org/10.5281/zenodo.15051061
Short DOI https://doi.org/g88zxv

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