Enhancing the ability to analyze and process enterprise financial data is a key task in reducing enterprise resource consumption. This paper applies information technology in the collection and processing of financial data of resource-consuming enterprises. Combined with cluster analysis, the financial data are pre-processed by dimensionality reduction to obtain financial diagnostic indicators. Factor analysis is utilized to extract the common factors from the financial indicators, mine the financial risk influencing factors, and establish the factor analysis model. Apply the improved efficacy coefficient method to calculate the alarm value of enterprise financial risk and pay attention to the probability of occurrence of enterprise financial crisis. Combined with the results of financial risk analysis, we compare the effect of improving enterprise management ability and economic efficiency after taking targeted measures. The results show that: based on the financial sharing method of information technology, the resource-consuming enterprises have optimization effects of 51.61%, 43.90%, 56.63% and 69.01% in the four aspects of financial risk prediction accuracy, capital turnover rate, cost control deviation rate, and decision-making response time, respectively, and reach the goals of consumption decline and economic efficiency improvement.
