Research On Key Techniques Of Radio Resource Allocation In Relay-enhanced Cellular Networks

With the development of information technology and the arrival of big data era,in order to achieve conglomerate's targets,it is quite important to improve conglomerate's financial management efficiency by combining financial management with information system.It has significant meaning to conglomerate to analyzing,research and find counter measures to those problems,which are found during the process of building financial information system.During the China's 12 th five-year plan,many state-owned corporations have multi-business diversification as well as deepening their management.Also,more and more state-owned corporations rely on financial information system to enhance finical management,broaden depth and width of financial management,in order to achieve corporation's financial lean management.However,during the system construction process,due to lack of unified information plan and responsible system,many information system cannot meet the financial management requirement.Especially in data quality area,low data quality cannot support the conglomerate's target,which is to unify the conglomerate's financial information system and to innovate beyond that.This article uses the financial information system used by LM group as the research object.Analyzing and sorting out the research status at home and abroad on financial information system.Combining the basic information of LM group and its history of developing financial information system,summarize the data quality problems during the process of implementing financial information system.At current stage,the data governance of LM group mainly focus on technology level,lack of coordination of different business departments.The current work is focusing on basic business data cleaning,lack of unified data governance plan.For the LM group,the current status is vague data management responsibility,high data redundancy,low data fusion,low data reliability,and high data security risk.In this article,author deeply analyze these questions and raise the counter measures,such like complete business data plan,build up data standard system,build up data quality standard system,complete data security system,in order to ultimately improve those problems and be the reference of other business department to prove their information system data quality management level.