• DocumentCode
    2167453
  • Title

    Data quality comparative model for data warehouse

  • Author

    Sidi, Fatimah ; Ramli, Abdullah ; Jabar, Marzanah A. ; Affendey, Lilly Suriani ; Mustapha, Aida ; Ibrahim, Hamidah

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang, Malaysia
  • fYear
    2012
  • fDate
    13-15 March 2012
  • Firstpage
    268
  • Lastpage
    272
  • Abstract
    The growth of daily data and complexity in data warehouse with enhanced the information technology has created new challenges for information user. The demand for quality data has increase an awareness of the quality, reliable and accuracy of information in making fast and reliable decision-making. Nowadays, many organizations are depending on their resources in data warehouse. As that matter of fact, the qualities of data warehouse are greatly concern. The poor and error data will cause more trouble in data warehouse as data accessed from the same resources by the user. Here we present the systematic review comparative model to determine the data quality model as further research in our studies.
  • Keywords
    data analysis; data warehouses; decision making; information retrieval; data access; data quality comparative model; data warehouse; decision making; information accuracy; information technology; information user; organization; Accuracy; Complexity theory; Data models; Data warehouses; Organizations; Quality management; data quality; data quality dimension; data quality management; data warehouses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Retrieval & Knowledge Management (CAMP), 2012 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-1091-8
  • Type

    conf

  • DOI
    10.1109/InfRKM.2012.6204987
  • Filename
    6204987