| dc.creator |
Madnick, Stuart |
|
| dc.creator |
Wang, Richard |
|
| dc.creator |
Chettayar, Krishna |
|
| dc.creator |
Dravis, Frank |
|
| dc.creator |
Funk, James |
|
| dc.creator |
Katz-Haas, Raïssa |
|
| dc.creator |
Lee, Cindy |
|
| dc.creator |
Lee, Yang |
|
| dc.creator |
Xian, Xiang |
|
| dc.creator |
Bhansali, Sumit |
|
| dc.date |
2004-12-10T19:16:15Z |
|
| dc.date |
2004-12-10T19:16:15Z |
|
| dc.date |
2004-12-10T19:16:15Z |
|
| dc.date.accessioned |
2013-10-09T02:39:48Z |
|
| dc.date.available |
2013-10-09T02:39:48Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/7401 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
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. |
|
| dc.format |
277455 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
MIT Sloan School of Management Working Paper;4481-04 |
|
| dc.subject |
Corporate Householding |
|
| dc.subject |
Data Quality |
|
| dc.subject |
Organizational Structures |
|
| dc.subject |
Interdependence |
|
| dc.subject |
Name Matching |
|
| dc.subject |
Entity Aggregation |
|
| dc.subject |
Information Quality |
|
| dc.subject |
Account Consolidation |
|
| dc.subject |
Conflict of Interest |
|
| dc.subject |
Risk Management |
|
| dc.subject |
Customer Relationship Management (CRM) |
|
| dc.subject |
Supply Chain Management (SCM) |
|
| dc.subject |
Regulation and Disclosure |
|
| dc.title |
Exemplifying Business Opportunities for Improving Data Quality From Corporate Household Research |
|
| dc.type |
Working Paper |
|