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Architectural Evaluation of Master Data Management (MDM): Literature Review

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Conference

2016 ASEE Annual Conference & Exposition

Location

New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016

ISBN

978-0-692-68565-5

ISSN

2153-5965

Conference Session

Potpourri

Tagged Division

Computing & Information Technology

Page Count

10

DOI

10.18260/p.26272

Permanent URL

https://peer.asee.org/26272

Download Count

117

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Paper Authors

biography

Gholam Ali Shaykhian NASA

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Ali has received a BS degree in Electronics, a Master of Science (M.S.) degree in Computer Systems and a second M.S. degree in Operations Research from the University of Central Florida and has received a Ph.D. degree in Operations Research from the Florida Institute of Technology (FIT). His research interests include knowledge management, data mining, object-oriented methodologies, design patterns, software safety, genetic and optimization algorithms. Dr. Shaykhian is a professional member of the American Society for Engineering Education (ASEE), serving as the past Program Chair for the Minorities in Engineering Division. He has served as a chair, vice-chair, program chair, and program committee member for numerous conferences of ASEE.

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biography

Mohd Abdelgadir Khairi Najran University

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I, Mohamed Khairi, my bachelor degree in computer science. I did my Masters in system science from University of Ottawa, Canada. My PH.D was in “Master Data Management” from University of Phoenix. I have over 20 years of experience in IT industry - ten of them with Microsoft in Redmond, WA. Currently I’m assistant professor at University of Najran. In addition of teaching and Research I’m coordinator of graduation projects and field training for computer and information system college.

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Jinan Ziade

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I have a PhD in Organizational Leadership with emphasis in IST from University of Phoenix, and an MBA from the same university. I have over 7 years of extensive leadership experience in advertising, marketing, strategies, and project team lead. Currently serving as Program Chair of Guild volunteer at St. Jude Medical Center and working with Memorial Foundation on philanthropic endeavors. My research interest include knowledge of cultural differences and leadership practices within global organizations and problem solving. Developed a leadership practices model that provides a suitable framework and salient business strategy component for corporations seeking to expand successfully.

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Abstract

Architectural evaluation of Master Data Management (MDM)

Abstract: Architectural evaluation of MDM data models are influenced by technical assessment, business requirements, and designers’ preferences. Therefore, selecting the right model for an organization requires quantitative method with qualitative embedded design study. Greene [4] states that three purposes of quantitative study with embedded qualitative design include 1) triangulation, to guarantee or attain validation of data, or convergent validation; 2) complimentarily, to elucidate, clarify, or otherwise more fully detailed the results of analyses; and 3) development, to lead the use of additional sampling data gathering, and analysis procedures (p. 259). The existing literature demonstrates the need for both qualitative and quantitative design analysis to describe the relationship between MDM architectural models’ alternatives (federated and centralized).

Current literature studies do not dispute the importance of MDM models and their relationships to the single view of organization’s master data. The IT community unanimously supports the notation of “single view of organization’s master data.” According to Rosenberg [16], master data forms the basis for the business process; Loshin[9] claims that the main goal of designing any MDM is to ensure that the system is business driven. Loshin [9] considers the implementation MDM a failure if it fails to address the business needs (p. 54). This paper documents the importance of literature study to support the need for qualitative and quantitative analysis.

Shaykhian, G. A., & Khairi, M. A., & Ziade, J. (2016, June), Architectural Evaluation of Master Data Management (MDM): Literature Review Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26272

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