Research On Internal Control Of Data Business Of A Financial Sharing Center

At present,the Party and the government attach great importance to the application of big data and the related work of risk protection.The 14 th Five-Year Plan clearly points out that to "build new advantages of digital economy",and has made clear deployment to cultivate and expand the emerging digital industries such as big data.As the natural data center of enterprises,financial sharing center carries out data business,upgrading and transforming from traditional transaction processing center to data center that releases data value.However,due to the lack of organizational reform,weak data mining and analysis capabilities,and low data quality,the development of data business was once in trouble.Therefore,how to strengthen the robustness of financial sharing center’s data business,improve its internal control level,improve the quality of data,become the urgent problem for financial sharing center to solve.Group A is a large comprehensive energy enterprise controlled by State Investment Group.It is at the forefront of the country in financial innovation and financial sharing.A Financial sharing center uses big data technology to gather business data and develop data services.On the basis of reviewing the existing literature,the theories of data business,financial sharing,internal control and risk management are discussed.Then the internal control status of data business process of A financial sharing center is analyzed,and it is found that the internal control of data business process is the weak link of its current management and there are a lot of risks.Then combined with the status quo of the internal control of the data business process of A financial sharing center and the construction principle of the internal control effectiveness evaluation index system,the evaluation index system of the internal control effectiveness of the data business is constructed.The fuzzy comprehensive evaluation method is used to evaluate the internal control of the existing data business process of A financial sharing center.Through analyzing the evaluation results,it is found that there are still big risks at the specific business level: Data business organization division of labor is not clear,data business organization personnel set unreasonable,internal control system is not perfect,data warehousing specification is not perfect,staff data value consciousness is weak,data security system is not perfect,staff data security consciousness is weak,data service ability is insufficient,lack of communication mechanism,data analysis and application is not thorough,data technology needs to be further strengthened.Aiming at this result,the following optimization measures are proposed in this paper: Improve data business organization structure,establish data business development talent system,improve data business internal control system,improve data management system,strengthen data value cognition training,establish data security system control,strengthen the awareness of data security risk control,strengthen cooperation with regional companies,strengthen information communication,improve data analysis ability,and strengthen big data technology.It is hoped to improve the risk identification and risk response ability of Financial sharing Center A in key internal control links such as "data collection,data storage,data sharing,data analysis and application",strengthen the robustness of business and enhance the use value of data.