Design and implementation of financial data statistics and risk early warning analysis system in the era of big data

Abstract

In the era of big data, the financial field is facing more and more data statistical risk, in order to ensure the continuous improvement of the financial economic development level, Chinese scholars put forward the transformation of the traditional non-empirical analysis method and artificial subjective evaluation method, reasonable use of experts system and information technology as the core management mode. From the perspective of overall development, traditional assessment methods still play an important role in financial data statistics and risk early warning analysis, while the application level of relevant information systems and expert systems is not high. Therefore, in the future innovation and development of the financial field, it is necessary to continue to discuss the design and implementation of financial data statistics and risk early warning analysis system in the era of big data. After understanding the statistical characteristics of financial data and the design principles of risk early warning system in the era of big data, this paper mainly studies the design structure and implementation of financial data statistics and risk early warning analysis system, which will play a positive role in enhancing the competitiveness of financial institutions in the new era.