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主数据管理平台建设研究 被引量:18

Research on the Construction Scheme of Enterprise Master Data Management Platform
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摘要 研究目的:"数据"是信息系统的"血液"。当企业信息化发展到一定程度时,数据管理(MDM,Master Data Management)必会被提升为企业信息化管理的一个重要管理领域。数据管理的好坏程度,从很大程度上左右着企业信息化进程,决定着企业信息化成果的品质。主数据管理是一个标准化规范制定与系统集成的工作,牵涉部门广,牵涉系统多,同时涉及历史数据处理等问题,实施难度很大,为了能有效地推动项目,必须分步实施,主数据管理是指用于生成和维护主数据的一整套规范、技术与方案,用来保证主数据的一致性、完整性和准确性。研究结论:(1)主数据管理就是实现各业务系统间共享数据,它是各业务系统间数据交换的基准;(2)主数据管理目标是使各业务系统在获取基准数据时,能够保证数据是最新的、一致的、准确的,能够实时进行各系统间数据验证;(3)主数据是企业信息化管理的核心数据,更应该得到有效、全面、统一及妥善的管理;(4)主数据管理的四大要素是数据集成、数据共享、数据治理、数据质量;(5)本研究成果的应用将统一各业务信息应用系统的基础数据。 Research purposes: The " Data" is the " blood" of information system.When the enterprise information develops to a certain extent,the data management(MDM,Master Data Management) will be promoted to an important management field of enterprise information management.The quality of data management,to a large extent affects the process of enterprise information,and determines the quality of enterprise information results.Master data management is a standardized specification design and system integration work,which has many involved departments and systems,and relates to the processing of historical data and other issues,so the implementation is very difficult.In order to effectively promote the project implementation,the distributed implementation must be carried out.The master data management refers to the create and maintain a set of standard,technology and scheme of the master data,to ensure the consistency,completeness and accuracy of the data.Research conclusions:(1) The master data management is to realize data sharing among different application systems,and it is the benchmark of the data exchange among the reference systems.(2) The main goal is to make the business data management system in the acquisition of baseline data,to ensure data is up-to-date,consistent,accurate,able to perform data validation of the system in real time.(3) The master data is the core data of enterprise informationmanagement,should be more effective,comprehensive,unified and proper management.(4) The four elements of master data management is data integration,data sharing,data management and data quality.(5) The application of research results will unify the basic data of business information application system.
作者 陈君
出处 《铁道工程学报》 EI 北大核心 2016年第5期134-136,共3页 Journal of Railway Engineering Society
关键词 主数据 管理 业务系 统一 master data management service system unify
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  • 1刘飞.中国企业数据集成与数据质量市场白皮书[EB/OL].www.idc.com.en.2008. 被引量:1
  • 2PAlex Berson,Larry Dubov.Master Data Management and Customer Data Integration ibr Global Enterprise [M].New York:McGraw-Hill, Inc.2007. 被引量:1
  • 3Forrester Research.Your SOA Could Be DOA Without MDM.2006. 被引量:1
  • 4Ludovic Menet,Myriam Lamolle,Amar Zerdazi.Managing Master Data with XML Schema and UML [J].International Workshop on Ad- vanced Information Systems for Enterprises,2008:52-58. 被引量:1
  • 5Li Ma,Xingzhi Sun,Feng Cao,et al.Semantic Enhancement for Enterprise Data Management[J].2009 Proceedings of the $th International Semantic Web Conference,2009:863-878. 被引量:1
  • 6Xiaoyuan Wang,Xingzhi Sun,Feng Cao,et al.SMDM:Enhancing Enterprise Wide Master Data Management Using Semantic Web Tech- nologies[J].2009 Proceedings of the VLDB Endowment,2009,2(2):1594-1597. 被引量:1
  • 7Anca Andreescu,Marinela Mircea.Combining Actual Trends in Software Systems for Business Management [J].2008 Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing,2008,V9-1-V9-6. 被引量:1
  • 8Bohannon P, Fan W, Geerts F,et al.Conditional functional dependencies for data cleaning[J].ICDE,2007. 被引量:1
  • 9W ENFEI FAN,FLORIS GEERTS,XIBEI JIA,et al.Conditional Functional Dependencies for Capturing Data Inconsistencies[J].ACM Transactions on Database Systems,20OS:l-d4. 被引量:1
  • 10Fan W.Dependencies Revisited for Improving Data Quality.ACM Symposium on Principles of Database Systems(PODS(invited),2008,. 被引量:1

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