A Framework for Improving Data Quality Throughout the MDM Implementation Process

DOI

10.2991/aisr.k.220201.029How to use a DOI?

Keywords

Master Data Management; Data Quality; Business Process Modelling Notation

Abstract

Controlling data value is becoming more challenging for businesses. Data redundancy is the most common cause of problems. Master Data Management (MDM) may help avert various issues by providing a “single version of the truth” throughout the organization. One of the fundamental causes for MDM implementation failure is the absence of participation of all stakeholders in the data quality process. This paper aims to provide a framework for improving the quality of Master Data Management project development. The framework is divided into five steps that are presented in a logical order. Our technique kicks off the data quality procedure, which is the study’s main contribution. Furthermore, by using the BPMN 2.0 standard in construction processes, both business and IT workers can understand them. The paper also helps firms streamline and organize the process of building a Master Data Management project.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Chafika Benkherourou
AU  - Abdelhabib Bourouis
PY  - 2022
DA  - 2022/02/02
TI  - A Framework for Improving Data Quality Throughout the MDM Implementation Process
BT  - Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)
PB  - Atlantis Press
SP  - 164
EP  - 169
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.220201.029
DO  - 10.2991/aisr.k.220201.029
ID  - Benkherourou2022
ER  -