• DocumentCode
    2916872
  • Title

    DQAS implementation to support Base Analysis techniques in Data Quality Life Cycle

  • Author

    Aziz, Azwa Bin Abdul ; Hassan, Hasni Binti ; Saman, Md Yazid Bin Mohd

  • Author_Institution
    Fak. Inf., Univ. Sultan ZainalAbidin (UniSZA), Kuala Terengganu, Malaysia
  • fYear
    2011
  • fDate
    5-8 Dec. 2011
  • Firstpage
    16
  • Lastpage
    21
  • Abstract
    Good business decision making depends on how good information is provided. Due to this factor, the quality of data provided by transactions systems database is really important to organizations in order to produce the best solution for their company to move forward. Data Quality issues have become major problems in most enterprise systems where in some cases forced companies to stop their operations and in other, create chaos in life environment. Base Analysis technique is part of analyses which are introduced in our previous research in Data Quality Life Cycle. Base Analysis technique is used to profile heterogeneous data in a structured approach, with the intention to determine abnormal data. The technique contains three levels of analyses; Top Level Analysis, Middle Level Analysis and Low Level Analysis. On the other hand, Data Quality Analysis System is a tool developed using open source technologies that are connected to commercial databases to support Base Analysis and implemented in three-tier architecture. This paper describes the implementation of the system to perform data quality analysis using Human Resources data that reside inOracle database platform.
  • Keywords
    business data processing; data handling; database management systems; DQAS implementation; Oracle database; base analysis technique; business decision making; data quality analysis system; data quality life cycle; open source technologies; support base analysis techniques; transactions system database; Companies; Computer architecture; Databases; Humans; Hybrid intelligent systems; Remuneration; Base Analysis; DQ Dimensions; Data Quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems (HIS), 2011 11th International Conference on
  • Conference_Location
    Melacca
  • Print_ISBN
    978-1-4577-2151-9
  • Type

    conf

  • DOI
    10.1109/HIS.2011.6122073
  • Filename
    6122073