• DocumentCode
    2297198
  • Title

    The Steps and Methodology of Identifying Master Data from Business Processes

  • Author

    Wang, Lei ; Ming, Xinguo ; You, Jing

  • Author_Institution
    Inst. of Comput. Integrated Manuf., Shanghai Jiao Tong Univ., Shanghai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    329
  • Lastpage
    333
  • Abstract
    In the fragmented and fast-paced word, enterprise data has become even more daunting. If companies are to survive in an increasingly competitive global marketplace, they must find ways not only to use but to exploit this useful enterprise data. As a popular technology, the state of the art MDM solution is claimed by the software company such as IBM, Oracle to provide the quality data for decision making. The MDM system is set up based on enterprise have finished informatization. However, the industrialization is developing in China, most of middle and small company have not information system. So a new design methodology that is purposed in this paper can capture master data from the enterprise business process, it´s utilized by all of enterprise whether have establish information system. To construct a MDM system, the metadata in a MDM system should be designed first. Therefore, a design methodology for metadata in MDM system is presented in this paper.
  • Keywords
    decision making; information systems; small-to-medium enterprises; IBM; MDM system; Oracle; competitive global marketplace; data quality; decision making; enterprise business process; information system; master data identification; master data management; metadata; middle-small company; software company; Companies; Data analysis; Data mining; Decision making; Design methodology; Enterprise resource planning; Information analysis; Information systems; Management information systems; Software quality; design MDM system; identify master data; master data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.97
  • Filename
    5319120