摆渡论文网（www.baydue.com）-专业留学生作业辅导中心澳洲paper写作-大数据时代下企业财务管理Big data is a new technology derived from the development of science and technology. There is no clear explanation for it at present. According to the present stage of development, we can define the data for the interaction between a person and computer network, is through the people operating the computer network to produce a large number of chaotic data information, and the data processing methods must be carried out through the cloud and use some related data analysis method of valuable information. The emergence of big data is closely related to the Internet. With the rapid development of the Internet, various kinds of information emerge in an endless stream. Big data has gradually evolved into a technology to screen and extract valuable information from massive databases for analysis and utilization.The processing scale of major index data is huge. Big data is carried out through cloud computing, while the unit of big data in the actual computing process is P. It is easy to find that the amount of big data is huge, and the speed of data generation is increasing in the network era. According to relevant statistics, the data generated in two days in 2012 is equivalent to the data developed in the past 20,000 years, and the number of global big data is bound to increase sharply in the future.The sources of big data are not only fixed databases, but also diversified data types with the development of network and the gradual improvement of information and communication technology. And the data is not limited to a single structure, audio, video, pictures emerge in an endless stream. Due to the complex structure of data sources, big data must be diversified.Due to the rapid speed of data generation, huge data and diverse information, only a small part of data is valuable. Therefore, it cannot use the previous storage and processing methods. The data itself must be analyzed and processed quickly to extract valuable information, which makes the big data have to be fast.Big data capacity, information generation speed, variety of types. Not all information in a large data set is valuable, but only a few are useful. Therefore, big data must be able to mine and process massive data to extract useful information.Enterprise financial management is an effective management and reasonable use of the enterprises financial situation in the process of enterprise planning and development, while traditional enterprise financial management belongs to manual accounting method, which will inevitably make the documents in the work complex, time-consuming, inaccurate, personnel waste, high cost. In this case, the timeliness of enterprise financial work is poor, information cannot be obtained in time, and valuable decisions can be made by enterprises.At present, many enterprises ignore the importance of financial management for enterprises, and still focus on the production and sales of enterprises, eager for breakthroughs in performance, which leads to the backward concept of financial management of traditional enterprises, unable to survive in the era of big data, let alone long-term development. As a functional department of enterprises, finance still has no independence in many enterprises. It can only accept and execute orders and cannot provide scientific and effective decision-making information for the management philosophy of the company, nor can it meet the challenges of the market environment. Due to insufficient cognition of financial informatization, traditional financial management departments of enterprises only focus on bills, and repeat bills, collection, processing and calculation work are also deficiencies of traditional financial management enterprises.With the rapid development of Internet, Internet of things, big data, cloud computing and other technologies, the market environment is developing rapidly and the business model of enterprises is constantly changing. The enterprise management mode tends to network gradually, which makes the opportunity and risk coexist. As the security guard of enterprise development risk control, enterprise financial management especially tests the ability of enterprise finance to collect and process data. It is the urgent task of enterprise finance under the new environment to timely make correct strategic guidance and decisions for enterprises.Under the background of big data, massive data brings various opportunities to enterprises. Only timely analysis and extraction of these increasingly large information, in order to extract valuable things, in order to make effective guidance for the development of enterprises in the future. As one of the important functional departments of an enterprise, corporate finance needs to be independent, timely apply big data technology to data concentration and processing in the process of corporate financial management, promote the development of en