Abstract:At present, the massive and high-frequent data generated in the financial data management activities of various types of production and operation in power enterprises have the characteristics of real-time, suddenness, volatility, disorder, infiniteness and so on. In order to solve the problems that the financial data power enterprises access exist inconsistency, standards lack normative and to quickly obtain valuable information from these massive and high-frequent data, and improve the economic benefits brought by data assets and the efficiency of data management.Based on the analysis of the current status of power big data application, this paper constructs a financial data management system for power enterprises based on big data. At the same time, the key technologies of financial data management in power enterprises are descripted in detail from big data storage based on NoSQL, big data pretreatment based on Hadoop and high efficient big data analysis algorithms. The management efficiency and accuracy of financial data of power enterprises have been greatly improved, and it provides theoretical basis and basic technical support for online decision analysis.