IDEAS home Printed from https://ideas.repec.org/p/mit/sloanp/7401.html
   My bibliography  Save this paper

Exemplifying Business Opportunities for Improving Data Quality From Corporate Household Research

Author

Listed:
  • Madnick, Stuart
  • Wang, Richard
  • Chettayar, Krishna
  • Dravis, Frank
  • Funk, James
  • Katz-Haas, Raïssa
  • Lee, Cindy
  • Lee, Yang
  • Xian, Xiang
  • Bhansali, Sumit

Abstract

Corporate household (CHH) refers to the organizational information about the structure within the corporation and a variety of inter-organizational relationships. Knowledge derived from this data is becoming increasingly important for improving data quality in applications, such as Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), Supply Chain Management (SCM), risk management, and sales and market promotion. Extending the concepts from our previous CHH research, we exemplify in this paper the importance of improved corporate household knowledge and processing in various business application areas. Additionally, we provide examples of CHH business rules that are often implicit and fragmented - understood and practiced by different domain experts across functional areas of the firm. This paper is intended to form a foundation for further research to systematically investigate, capture, and build a body of corporate householding knowledge across diverse business applications.

Suggested Citation

  • Madnick, Stuart & Wang, Richard & Chettayar, Krishna & Dravis, Frank & Funk, James & Katz-Haas, Raïssa & Lee, Cindy & Lee, Yang & Xian, Xiang & Bhansali, Sumit, 2004. "Exemplifying Business Opportunities for Improving Data Quality From Corporate Household Research," Working papers 4481-04, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    • Handle: RePEc:mit:sloanp:7401
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/1721.1/7401
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Boris Otto & Yang W. Lee & Ismael Caballero, 2011. "Information and data quality in networked business," Electronic Markets, Springer;IIM University of St. Gallen, vol. 21(2), pages 79-81, June.

    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:mit:sloanp:7401. 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: None (email available below). General contact details of provider: https://edirc.repec.org/data/ssmitus.html .

    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.