With the advent of the era of big data, Internet of things technology and wireless communication technology have been in a state of rapid development. Opportunities and challenges in all walks of life are being subverted. Financial management, as the foundation of corporate governance, is important for improving economic efficiency and achieving sustainable business development which plays an important role. In order to realize the management and classification of financial big data, better identify the financial data of different enterprises, strengthen the safe storage of financial information, and provide early warning for the security issues involved, this article is based on the Internet of things and wireless communication networks. In the method part, this article introduces the framework of the Internet of things, Bluetooth, and infrared data transmission in wireless network communication and the principles of financial big data. The algorithm introduces a single-user MIMO system, free space propagation, and spectrum and energy efficiency. The analysis part analyzes the spectrum efficiency of different algorithms, social utility, average number of retransmissions, comprehensive scores of competitiveness in various fields of the Internet of things, and the significance of financial indicators. By comparing the data, it can be seen that the algorithm in this paper is superior to the two algorithms of IAN-CoMP and IA-CoMP. When the number of users is 100, the social utility of the algorithm in this paper is 4.45, while IAN-CoMP is 3.43 and IA-CoMP is 3.67. When the number of users increases to 700, the social utility of the algorithm in this paper is 28.34. The other two algorithms are, respectively, 24.45 and 25.99, and we know that the social utility of the algorithm in this paper is the best. Through comprehensive analysis, it is concluded that the financial big data model based on the Internet of things and wireless network communication in this paper can better realize data management and collection, so as to meet the needs of information developers.

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With the advent of the big data(BD) era, financial information and group financial management have shown new characteristics. BD technology also provides support for the construction of shared centers. The establishment of financial shared service centers is the future development direction of large and medium-sized enterprises. The purpose of this article is to study the application and management of financial sharing under the background of the BD era. This article is the development trend of financial shared service center under the background of BD. It briefly described the development and evolution of financial shared services, and pointed out the challenges and future development trends of the construction of financial shared service centers under the background of BD. This article discusses the principles, objectives, overall planning, specific design and issues that should be paid attention to in the construction of the group’s financial shared service center under the background of BD. This paper proposes the framework model and process design of group capital management. Taking the framework model of the financial shared service center under cloud accounting as the core, build a group fund management framework model based on financial shared services under cloud accounting, and then further develop process design for fund budget management, fund control management, fund supervision and management, and fund assessment management. At the same time, it analyzes the causes of the group’s existing personnel career planning and high operating costs, proposes solutions, and investigates the development trend of the financial shared service center. Research shows that the audit error rate of the financial shared service center of surveyed companies in 2014 was 1.27% to 0.57% in 2018. It can be seen that the audit error rate basically fluctuates, which further verifies that the financial shared service center has strict requirements for internal management. The internal service level of the Financial Shared Service Center is continuously optimized and improved.

With the improvement of the tax law and the increase in the cost of tax evasion, taxpayers’ legal awareness is getting stronger and stronger. This article mainly discusses the management of corporate tax planning under the background of the information age. Use data mining technology to achieve diversification of access methods and transparency of information access. If the company responsible for sales is located in a country or region that levies high income taxes, in this case, in order to reduce the tax burden, the company can establish branches in other countries and regions with lower income tax rates, making it should The profits of companies in high income tax areas can be effectively transferred, so that the total income tax payable by the company will be reduced, reducing the cost of taxation for the company. Companies can use commercial discounts when carrying out sales activities to reduce the value-added tax burden that companies should pay. After the enterprise reformed its tax planning, the value-added tax rate changed from the original business tax rate of 5% to 6%. This research is helpful to the reasonable planning of corporate taxation.