Exemplifying Business Opportunities for Improving Data Quality From Corporate Household Research
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Author(s) • • • • • • • • •
Madnick, Stuart
Wang, Richard
Chettayar, Krishna
Dravis, Frank
Funk, James
Katz-Haas, Raïssa
Lee, Cindy
Lee, Yang
Xian, Xiang
Bhansali, Sumit
Date Issued
December 10, 2004
Series/Report no.
MIT Sloan School of Management Working Paper;4481-04
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.
Subjects
Corporate Householding
Data Quality
Organizational Structures
Interdependence
Name Matching
Entity Aggregation
Information Quality
Account Consolidation
Conflict of Interest
Risk Management
Customer Relationship Management (CRM)
Supply Chain Management (SCM)
Regulation and Disclosure
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