PERSONALIZED DATA SERVICE FOR MASTER DATA MANAGEMENT

Jinchul Han, Min-goo Lee, Jonghoon Chun

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.

References

  1. Hyun-gu, Jo. 2007. Achieving Value through Master Data Management, Enterprise SOA Office, SAP Korea, 2007
  2. IBM. 2008. Enterprise Master Data Management: Market Review & Forecast for 2008-12. An MDM Institute MarketPulseā„¢ In-Depth Report
  3. John, R. Andrew, W. 2008. The Seven Building Blocks of MDM: A Framework for Success. Gartner Master Data Management Summit.
  4. Ted, John, R. 2008. MDM for Customer Data for Beginners. Gartner Master Data management Summit.
  5. Sung-won, Kim. 2006. MDM Strategy for Next Generation Systems. SAMSUNG SDS Consulting Review, No.4.
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Paper Citation


in Harvard Style

Han J., Lee M. and Chun J. (2009). PERSONALIZED DATA SERVICE FOR MASTER DATA MANAGEMENT . In Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2009) ISBN 978-989-674-006-1, pages 287-293. DOI: 10.5220/0002227102870293


in Bibtex Style

@conference{ice-b09,
author={Jinchul Han and Min-goo Lee and Jonghoon Chun},
title={PERSONALIZED DATA SERVICE FOR MASTER DATA MANAGEMENT},
booktitle={Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2009)},
year={2009},
pages={287-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002227102870293},
isbn={978-989-674-006-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2009)
TI - PERSONALIZED DATA SERVICE FOR MASTER DATA MANAGEMENT
SN - 978-989-674-006-1
AU - Han J.
AU - Lee M.
AU - Chun J.
PY - 2009
SP - 287
EP - 293
DO - 10.5220/0002227102870293