Research on the Application of Big Data Technology in the Integration of Enterprise Business and Finance

With the advent of the era of big data,traditional financial management has been unable to meet the needs of modern enterprise business.Enterprises hope that financial management has the function of improving the accuracy of corporate financial data,assisting corporate management to make decisions that are more in line with the actual development of the company,and optimizing corporate management systems,thereby comprehensively improving the overall level of the company and ensuring that the company can be in business with the assistance of financial integration,can better improve and develop themselves.Based on the investigation of enterprises and universities,this article analyzes the problem of accounting talent training from both the demand and supply ends,and puts forward some suggestions for the teaching reform of accounting integration with big data in financial colleges and universities,and strives to promote the integration of business and finance.The optimal allocation of enterprise resources will gradually enhance the market competitiveness of enterprises,and explore the application strategies of big data technology in the integration of enterprise business and finance.

Does microfinance foster the development of its clients?A bibliometric analysis and systematic literature review

This paper conducts a scientometric analysis and systematic literature review to identify the trends in microfinance outcomes from the perspective of their recipients,specifically more vulnerable people,while also focusing on the demand side.Applying the keywords“co-occurrence networks”and“citation networks,”we examined 524 studies indexed on the ISI Web of Science database between 2012 and March 2021.The subsequent content analysis of bibliometric-coupled articles concerns the main research topics in this field:the socioeconomic outcomes of microfinance,the dichotomy between social performance and the mission drift of microfinance institutions,and how entrepreneurship and financial innovation,specifically through crowdfunding,mitigate poverty and empower the more vulnerable.The findings reinforce the idea that microfinance constitutes a distinct field of development thinking,and indicate that a more holistic approach should be adopted to boost microfinance outcomes through a better understanding of their beneficiaries.The trends in this field will help policymakers,regulators,and academics to examine the nuts and bolts of microfinance and identify the most relevant areas of intervention.

面对WTO:金融业的结构和政策调整——兼论“入世”后对江苏金融业的可能影响

Compared with the international standard, the financial operating pattern and supervising system of China still have a long way to go. So while joining in the WTO, the finance business is sure to be confronted with challenges and influences. Such possible impact will cause a series of great effect on the state -- owned banking business, the blocked securities business and market, strict decentralized operation system, the efficiency of monetary policy tools and supervising, as well as the balance of international payment and capital flow. To lighten the impact and influence, make the economy keep developing continuously and steadily, and adapt to the new competitive surroundings, the finance business is demanded to have a series of structural adjustment and the related policy transforming, which includes the reform of equity policy, the opening of securities market, the developing of merged operation system, together with the supervising and equal treatment of China overseas finance business.

Visual analytics for event detection: Focusing on fraud

The detection of anomalous events in huge amounts of data is sought in many domains.For instance,in the context of financial data,the detection of suspicious events is a prerequisite to identify and prevent attempts to defraud.Hence,various financial fraud detection approaches have started to exploit Visual Analytics techniques.However,there is no study available giving a systematic outline of the different approaches in this field to understand common strategies but also differences.Thus,we present a survey of existing approaches of visual fraud detection in order to classify different tasks and solutions,to identify and to propose further research opportunities.In this work,fraud detection solutions are explored through five main domains:banks,the stock market,telecommunication companies,insurance companies,and internal frauds.The selected domains explored in this survey were chosen for sharing similar time-oriented and multivariate data characteristics.In this survey,we(1)analyze the current state of the art in this field;(2)define a categorization scheme covering different application domains,visualization methods,interaction techniques,and analytical methods which are used in the context of fraud detection;(3)describe and discuss each approach according to the proposed scheme;and(4)identify challenges and future research topics.