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Master Data Management: A Review

Saravjeet Singh1 , Jaiteg Singh2

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-3 , Page no. 71-76, Mar-2015

Online published on Mar 31, 2015

Copyright © Saravjeet Singh , Jaiteg Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Saravjeet Singh , Jaiteg Singh, “Master Data Management: A Review,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp.71-76, 2015.

MLA Style Citation: Saravjeet Singh , Jaiteg Singh "Master Data Management: A Review." International Journal of Computer Sciences and Engineering 3.3 (2015): 71-76.

APA Style Citation: Saravjeet Singh , Jaiteg Singh, (2015). Master Data Management: A Review. International Journal of Computer Sciences and Engineering, 3(3), 71-76.

BibTex Style Citation:
@article{Singh_2015,
author = {Saravjeet Singh , Jaiteg Singh},
title = {Master Data Management: A Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2015},
volume = {3},
Issue = {3},
month = {3},
year = {2015},
issn = {2347-2693},
pages = {71-76},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=424},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=424
TI - Master Data Management: A Review
T2 - International Journal of Computer Sciences and Engineering
AU - Saravjeet Singh , Jaiteg Singh
PY - 2015
DA - 2015/03/31
PB - IJCSE, Indore, INDIA
SP - 71-76
IS - 3
VL - 3
SN - 2347-2693
ER -

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Abstract

Master data management helps companies to handle and maintain consistent and complete information of master data. Master data orchestration and knowledge extraction are the two biggest problem related to master data. Due to these two predicaments master data management is necessary for effective organization of master data. Master data is type of organizational data but not meta data and use for decision making and business intelligence. Master data in an enterprise is structured data and flows between different component of an enterprise under one’s control. Common master data domains include person (customers, supplier, and controller), products (item), and location and other specific data. As an outcome of MDM, organizations have higher quality product, reliable data, consistent master data records and probable dedicated and interested consumer. This paper presents an overview of master data’s content, scope, sample, advantages, master data management process, tool and techniques and challenges.

Key-Words / Index Term

Master Data, Master Data Management, People, Place, and Price

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