IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-34910-2_31.html
   My bibliography  Save this book chapter

The Research of Data Quality Problems in Power Enterprise Data Integration

In: 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings

Author

Listed:
  • Kehe Wu

    (North China Electric Power University)

  • Cheng Duan

    (North China Electric Power University)

  • Yayun Zhu

    (North China Electric Power University)

Abstract

After years accumulation of informationization construction, power enterprises have established huge and complex application systems, which include multi-class data related to business like production, operation and management. Along with the demands of developing new business application, the data integration is urgently needed to grasp overall data view; however the complex data integration environment causes the data quality problem particularly outstanding. Under the background of the power industry, this paper first studies the data quality definition and dimension recognition; then proposes a data integration platform architecture and studies the data quality control methods in data integration; elaborates data quality assessment methods and procedures; in the view of data product, designs a total data quality management (TDQM) process finally. In a typical case of application, the results show the practicability of the proposed method.

Suggested Citation

  • Kehe Wu & Cheng Duan & Yayun Zhu, 2013. "The Research of Data Quality Problems in Power Enterprise Data Integration," Springer Books, in: Bing Xu (ed.), 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings, edition 127, pages 265-275, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-34910-2_31
    DOI: 10.1007/978-3-642-34910-2_31
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-642-34910-2_31. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.