Data Governance And Application Based On Campus Data Center

In recent years,with the maturity of computer,communication and information technology,its application has also touched different fields.The construction of digital and information technology in the whole society has gradually presented a new stage.For college education,the educational environment,teaching methods,teaching concepts and other aspects have been affected.The concepts of"digital campus"and"smart campus"have gradually been adopted by major universities.The informationization of higher education has become the current The main reform direction of the development of education in China.At present,most university business departments have independent management information systems.However,with the expansion of informatization construction,it is found that the overall structure,data management,and data interfaces of various business departments are not uniform.At the same time,data quality,data source,Organizational management issues such as data flow and data maintenance have also emerged,greatly affecting the value of data.Therefore,how to provide high quality and effective shared data through data governance has become an urgent problem to be solved in the current stage of informationization construction in colleges and universities.This paper investigates and analyzes the current situation of data management and application in a provincial university in the west,and proposes an effective solution for campus data management based on the data center,thereby improving data utilization and providing information inquiry,intelligent decision-making,data mining,etc.for schools.The aspect provides a comprehensive and accurate data foundation.[Summary this paragraph,leading to the next thing to do.First,take Xi'an University of Science and Technology as an example to analyze the generation and use of campus data,determine the overall data governance architecture and implementation plan based on the data center;second,analyze the organization and management of existing data.Use problems,improve data quality through data cleaning,data standard development,etc.,develop data management specifications and frameworks,organize data management through master data management platform;third,create 171 master data and metadata lines The data sharing interface realizes the data integration of 17 business systems such as one-card system,logistics system and personnel system,and processes 31,707 pieces of data to meet the multiple business needs of different business departments,and takes the card consumption system as an example,from practical application.Explain and verify the results of data governance.