The Research On The Influence Of Big Data To Financial Statistics

The work of financial statistics in china has been implemented for more than three decades and has already formed a relatively complete system. However, the rise of big data in recent years makes it difficult to complete the financial statistics work, so it's imperative to reform in the financial statistics area. How and how much do big data affect the financial statistics? How to improve the work of financial statistics in the big data era? Experts and scholars are faced with these problems which need to be solved immediately. Based on the related research, it's practically meaningful to analyze deeply the influence of big data on financial statistics.First, the basic theories of big data and financial statistics are elaborated, and the influence mechanism of big data on financial statistics is analyzed. Based on the previous research of relevant scholars, this thesis defines big data as a diverse and real-time updating data set that is better than the typical database in collecting software, processing and analyzing; meanwhile, financial statistics is defined as the work of financial statistics. Big data affect financial statistics through three channels, i.e., data collection, data processing and data analysis.Second, the influence of big data on financial statistics is comprehensively evaluated. This thesis analyzes the influencing factors of the comprehensive evaluation from four aspects, such as knowledge structure, subjective consciousness, social environment, and system and mechanism, finding out that the knowledge structure, media campaigns and the work system of financial statistics in the central bank all impact the comprehensive evaluation. Then, an evaluation index system is built with twenty specific indicators from three aspects of data acquisition, data processing and data analysis, and the method of fuzzy comprehensive evaluation is applied to evaluate the influence of big data on financial statistics.Last but not the least, this thesis analyzes the impact of big data on financial statistics from both qualitative and quantitative aspects. The qualitative analysis is to analyze the influence of big data on financial statistics from the perspectives of data acquisition, data processing and data analysis, discovering that big data have a big impact on financial statistics. The quantitative analysis is to measure the level of influence with the method of fuzzy comprehensive evaluation and analyze the measurement results according to the principle of maximum membership degree and weighted average:according to the maximum membership degree evaluation, the influence level of big data on financial statistics from the overall to each dimension is "large"; according to the principle of weighted average, within the five-point system, the final score of big data influence on financial statistics is 3.6278, which is between "larger affected" and "less affected", but more close to "less affected".