Efficiency Assessment System for Resource Utilization in Commercial Bank Big Data Platform

DOI

10.2991/978-94-6463-304-7_45How to use a DOI?

Keywords

big data; cloud computing; resource utilization efficiency; banking sector; assessment model; simulated data validation

Abstract

This paper addresses the essential need for efficiently managing resource utilization within big data platforms, a critical component of modern banking operations amidst digital transformation. It aims to provide a structured methodology that not only identifies the challenges associated with escalating data volumes but also offers practical solutions. The primary objective is to enhance the overall efficiency and performance of commercial bank big data platforms by introducing an innovative efficiency scoring system tailored for this specific context. The paper amalgamates traditional library resource management approaches with the intricacies of the credit scoring system within the domain of consumer finance, resulting in a holistic efficiency scoring system. This system serves as the foundation for a comprehensive resource cost management strategy, marking a paradigm shift from ad-hoc resource governance. The proposed methodology encompasses a hierarchical structural model, incorporates a meticulous calculation model, and comprises multiple efficiency indicators. Expert consultation and feedback ensure the reliability and applicability of this framework. Our methodology offers a robust foundation for operational governance, ensuring efficient resource utilization and, consequently, enhancing the quality of operational services within big data platforms in the banking sector. It contributes to the advancement of resource governance in the context of ever-evolving digital landscapes.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yanru Li
PY  - 2023
DA  - 2023/12/04
TI  - Efficiency Assessment System for Resource Utilization in Commercial Bank Big Data Platform
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 440
EP  - 447
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_45
DO  - 10.2991/978-94-6463-304-7_45
ID  - Li2023
ER  -