Ma Jingyun
(Shangqiu City Highway Maintenance Comprehensive Service Center, Henan Shangqiu 476000)
Abstract: Based on the characteristics and advantages of big data technology, this paper explores its application pathways in the financial analysis of highway maintenance enterprises. Currently, highway maintenance enterprises often face challenges such as difficulties in integrating multi-source heterogeneous data, lack of business-data correlation analysis models, low standardization of underlying data collection, and shortage of interdisciplinary talent during the big data-driven financial analysis process. To address these issues, this paper proposes four optimization strategies: constructing a full-domain data platform, developing business-data linkage analysis models, standardizing data collection processes, and establishing a mechanism for cultivating interdisciplinary talent. The aim is to provide references and guidance for the digital transformation of relevant enterprises.
Keywords: big data; highway maintenance enterprises; financial analysis; data platform
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