Data Platform Management Improvement For Bank Of China Gansu Branch Based On Demand Investigation

The vigorous development of internet finance,the rapid reform of information technology and the consistent innovation of business model have provided opportunities to the traditional banking industry.Meanwhile,these factors have also brought up unprecedented challenges to the business idea and model of banks as well as its information-processing capabilities.Commercial banks have accumulated enormous amount of financial business data through years of informatization construction.The precise and high-density financial business data,which is considered to be the fundamental and essential data assets of banks,can be tapped into tremendous potential and result in new value growth points,and the value embodiment of financial business data lies in application.On the basis of construction of data platform and capacity of application analysis,commercial banks can combine development strategy with business sections such as customer service,precision marketing,product innovation,credit rating,fraud detection and process optimization to thoroughly promote the value of the financial business data.Furthermore,scientific and effective management of the banks' data platform is the precondition for development of data application.To start with,this thesis introduces several aspects of data platform of Gansu Branch of Bank of China,including overall architecture,organization status,data resources and current data usage.Secondly,to resolve several different management issues,this thesis is designed to investigate the current existing problems of the data platform,such as platform running performance,effectiveness of data application,data quality management,data security management,user satisfaction degree of data application,efficiency of data analysis,etc.The investigate and study is based on three different selected organizations or personnel from relevant departments or banking establishments including data platform performance and maintenance personnel,data management personnel,and data user personnel.Finally,the conclusion is drawn and the improvement scheme of the data platform is obtained according to the discovered issues.The present research have certain referential significance,such as,ensuring the sources of the data platform's accuracy and immediacy,keeping the data contents valid,forming the whole process of management mechanism and work flow.Meanwhile,this thesis also lays favorable foundation for constant expansion of data application capacity and effective data analysis.