Authors:
Jinchul Han
1
;
Min-goo Lee
1
and
Jonghoon Chun
2
Affiliations:
1
Prompt, Inc., Korea, Republic of
;
2
Myongji University, Korea, Republic of
Keyword(s):
Master Data Management, Personalized Data Service, Composite Master.
Related
Ontology
Subjects/Areas/Topics:
Adoption of Standards and Protocols for e-Business Applications
;
Applications
;
Business and Social Applications
;
Collaborative Business Systems
;
e-Business
;
Enterprise Information Systems
Abstract:
Recently, the needs for enterprise-wide Master Data Management(MDM) have been increased drastically. MDM is the framework of processes and technologies aimed at integrating and managing the quality of disparate enterprise master data to provide consistent information across diverse users and application systems. Integrated master data environment may provide consistent, reliable, and accurate master data, yet it may not be suitable for individual data needs. Utilizing view definition of commercial DBMSs is one way to provide personalized data service, but it lacks flexibility in interoperability with other services provided by MDM systems. In this paper, we propose a new model to make the data service personalized, flexible, and efficient enough to use by physically combining underlying master data in order to meet individual data requirements.