Research On Data Governance Risk Identification And Assessment

With the advancement of information technology,data has become one of the important assets in the national economy,and more and more industries have begun to use data for innovative management,such as supporting refined management,differentiated services,and real-time risk analysis.Unfortunately,there are few risk studies at home and abroad,and there are even fewer studies focusing on the field of banking data governance,but data governance is an important part of digital transformation.Due to the "chaotic" characteristics of data governance,the risk management tools commonly used in the industry have many problems,such as relying on human subjective judgment,relying on expert experience,high risk management costs,and difficulty in large-scale replication and risk perception lag,etc,resulting in a high failure rate of data governance.Therefore,research on data governance risk management is great significance.By reviewing the data governance of Bank B,this paper investigates and analyzes the current situation of Bank B on the basis of commonly used risk management tools and theories,and designs a risk identification early warning mechanism and risk assessment by using recommendation engine.This paper attempts to explore the use of recommendation engine technology to extract,recall and sort risk features by using risk factor data and risk managers’ preference and behavior data on risk tolerance as model training data sets.At the same time,this paper summarizes similar risks that have occurred in other banks,further illustrates the universality of this risk management method,and judges whether it is applicable to other scenarios,so as to abstract a general solution.Based on the general solution,this paper has done practice and improvement in Bank B,and achieved good results:the construction of a data governance engineering risk database,reducing the cost of data governance risk management,and improving the level of risk management maturity capability;The recommendation engine technology is introduced into the identification tool,which provides case experience and reduces the probability of major risk accidents.