Exemplifying Business Opportunities for Improving Data Quality from Corporate Household Research
Preprint
- 1 February 2004
- preprint
- Published by Elsevier BV in SSRN Electronic Journal
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.Keywords
This publication has 11 references indexed in Scilit:
- Securities and Exchange Commission (SEC)Published by SAGE Publications ,2018
- The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data QualityJournal of Management Information Systems, 2003
- Oh, So That is What you Meant! The Interplay of Data Quality and Data SemanticsSSRN Electronic Journal, 2003
- Are we moving toward an information superhighway or a Tower of Babel? The challenge of large-scale semantic heterogeneityPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Framework for Corporate HouseholdingSSRN Electronic Journal, 2002
- Improving the Quality of Corporate Household Data: Current Practices and Research DirectionsSSRN Electronic Journal, 2001
- Corporate Household Knowledge Processing: Challenges, Concepts, and Solution ApproachesSSRN Electronic Journal, 2001
- Organizational Knowledge Management: A Contingency PerspectiveJournal of Management Information Systems, 2001
- Credit Risk ValuationPublished by Springer Science and Business Media LLC ,2001
- Context interchangeACM Transactions on Information Systems, 1999