Establishing an Organization's Master Data Management Function: A Stepwise Approach

Vilminko-Heikkinen, Riikka; Pekkola, Samuli

doi:10.1109/hicss.2013.205

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…To correctly deploy MDM, the procedure involves eight steps that must be completed. Based on the above work, [22] suggested the following 10 stages for MDM implementation:…”

Section: Mdm As a Development Processmentioning

confidence: 99%

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A Framework for Improving Data Quality Throughout the MDM Implementation Process

Benkherourou¹,

Bourouis²

2022

Advances in Intelligent Systems Research

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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.

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“…To correctly deploy MDM, the procedure involves eight steps that must be completed. Based on the above work, [22] suggested the following 10 stages for MDM implementation:…”

Section: Mdm As a Development Processmentioning

confidence: 99%

“…We follow the paradigm presented in [22] to create our framework, always keeping data quality as basis in all steps. The resultant framework is divided into numerous phases to accomplish our objective.…”

Section: The Proposed Frameworkmentioning

confidence: 99%

A Framework for Improving Data Quality Throughout the MDM Implementation Process

Benkherourou¹,

Bourouis²

2022

Advances in Intelligent Systems Research

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“…The data governance framework is based on iterations which bring efficiency. Data governance brought a practical shift of understanding that it is not just about data, rather is the recurrent communication of process owners and those who enter the data into information systems (Vilminko-Heikkinen & Pekkola, 2013).…”

Section: H3: Data Governance Span (Dgs) --> Privacy Project Efficienc...mentioning

confidence: 99%

Relation of Data Governance, Customer-Centricity and Data Processing Compliance

Vojvodic¹,

Hitz²

2022

CEBR

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“…Technology is an important part of MDM [12]. However, organizational process is the most important part of MDM, not only technology and information systems [13]. The following are the steps for successful MDM process [13].…”

Section: B Master Data Managementmentioning

confidence: 99%

“…To accomplish these tasks, the organization needs to establish team roles and responsibilities. The team formed is a collaboration between business people and information technology (IT) staff [9], [13], [26]. On the other hand, successful MDM implementation depends on good data governance.…”

Section: B How Mdm Improves Data Quality and Data Governancementioning

confidence: 99%

Improving Data Quality and Data Governance Using Master Data Management: A Review

Hikmawati

Santosa

Hidayah

2021

IJITEE

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Master data management (MDM) is a method of maintaining, integrating, and harmonizing master data to ensure consistent system information. The primary function of MDM is to control master data to keep it consistent, accurate, current, relevant, and contextual to meet different business needs across applications and divisions. MDM also affects data governance, which is related to establishing organizational actors’ roles, functions, and responsibilities in maintaining data quality. Poor management of master data can lead to inaccurate and incomplete data, leading to lousy stakeholder decision-making. This article is a literature review that aims to determine how MDM improves the data quality and data governance and assess the success of MDM implementation. The review results show that MDM can overcome data quality problems through the MDM process caused by data originating from various scattered sources. MDM encourages organizations to improve data management by adjusting the roles and responsibilities of business actors and information technology (IT) staff documented through data governance. Assessment of the success of MDM implementation can be carried out by organizations to improve data quality and data governance by following the existing framework.

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Establishing an Organization's Master Data Management Function: A Stepwise Approach

Cited by 4 publications

References 14 publications

A Framework for Improving Data Quality Throughout the MDM Implementation Process

A Framework for Improving Data Quality Throughout the MDM Implementation Process

Relation of Data Governance, Customer-Centricity and Data Processing Compliance

Improving Data Quality and Data Governance Using Master Data Management: A Review

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