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Prioritization of master data domains in public sector organisations

The Master Data Management (MDM) establishment in public sector transforms the government efficiency by encouraging the resource sharing, data collaboration and citizen-centeredness. Nevertheless, defining and prioritizing master data domains across organisations as an essence of implementing MDM is...

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Main Authors: Haneem, Faizura, Kama, Nazri, Azmi, Azri, Azizan, Azizul
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/23558/1/ICT4T2016%20298%20302.pdf
http://repo.uum.edu.my/23558/
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spelling my.uum.repo.235582018-03-15T01:28:27Z http://repo.uum.edu.my/23558/ Prioritization of master data domains in public sector organisations Haneem, Faizura Kama, Nazri Azmi, Azri Azizan, Azizul QA75 Electronic computers. Computer science The Master Data Management (MDM) establishment in public sector transforms the government efficiency by encouraging the resource sharing, data collaboration and citizen-centeredness. Nevertheless, defining and prioritizing master data domains across organisations as an essence of implementing MDM is a very challenging process. Although customer, product, locations, finance and employee data domains have been among the most targeted master data domains where MDM initiatives are focused on, yet the prioritization of these domains is very critical for better planning of the MDM implementation. Less attention is given in the existing literatures which focusing in this research area.Hence, this paper aims to clarify master data domains and its prioritization in public sector organisations using qualitative and quantitative approach. It involves participative case studies from nine Malaysia’s public sector organisations and experts’ opinion to define the master data domain and its prioritization in Malaysia’s public sector organisations. The result of this study identified master data domains in the public sector generally grouped into three domains; 1) service providers, 2) services and products, and 3) customers’ profile.The highest priority of the master data domain in the public sector is services and product and followed by the customer’s profile and service provider domain. From an academic perspective, this paper represents a clarification of master data domains and its prioritization in public sector organisations within the area of MDM.In addition, the paper can serve Malaysia’s Public Sector and other practitioners as a reference in defining and prioritizing the master data domains in order to establish an effective MDM. 2016-04-05 Conference or Workshop Item NonPeerReviewed application/pdf en http://repo.uum.edu.my/23558/1/ICT4T2016%20298%20302.pdf Haneem, Faizura and Kama, Nazri and Azmi, Azri and Azizan, Azizul (2016) Prioritization of master data domains in public sector organisations. In: International Conference on ICT for Transformation 2016, 05-07 April 2016, Center for postgraduate UMS Sabah Malaysia.. (Unpublished)
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Haneem, Faizura
Kama, Nazri
Azmi, Azri
Azizan, Azizul
Prioritization of master data domains in public sector organisations
description The Master Data Management (MDM) establishment in public sector transforms the government efficiency by encouraging the resource sharing, data collaboration and citizen-centeredness. Nevertheless, defining and prioritizing master data domains across organisations as an essence of implementing MDM is a very challenging process. Although customer, product, locations, finance and employee data domains have been among the most targeted master data domains where MDM initiatives are focused on, yet the prioritization of these domains is very critical for better planning of the MDM implementation. Less attention is given in the existing literatures which focusing in this research area.Hence, this paper aims to clarify master data domains and its prioritization in public sector organisations using qualitative and quantitative approach. It involves participative case studies from nine Malaysia’s public sector organisations and experts’ opinion to define the master data domain and its prioritization in Malaysia’s public sector organisations. The result of this study identified master data domains in the public sector generally grouped into three domains; 1) service providers, 2) services and products, and 3) customers’ profile.The highest priority of the master data domain in the public sector is services and product and followed by the customer’s profile and service provider domain. From an academic perspective, this paper represents a clarification of master data domains and its prioritization in public sector organisations within the area of MDM.In addition, the paper can serve Malaysia’s Public Sector and other practitioners as a reference in defining and prioritizing the master data domains in order to establish an effective MDM.
format Conference or Workshop Item
author Haneem, Faizura
Kama, Nazri
Azmi, Azri
Azizan, Azizul
author_facet Haneem, Faizura
Kama, Nazri
Azmi, Azri
Azizan, Azizul
author_sort Haneem, Faizura
title Prioritization of master data domains in public sector organisations
title_short Prioritization of master data domains in public sector organisations
title_full Prioritization of master data domains in public sector organisations
title_fullStr Prioritization of master data domains in public sector organisations
title_full_unstemmed Prioritization of master data domains in public sector organisations
title_sort prioritization of master data domains in public sector organisations
publishDate 2016
url http://repo.uum.edu.my/23558/1/ICT4T2016%20298%20302.pdf
http://repo.uum.edu.my/23558/
_version_ 1644283813191221248
score 13.211869

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