Developing Data Quality Metrics for a Product Master Data Model

Developing Data Quality Metrics for a Product Master Data Model

Lidiansa, M.

Dignum, V. (mentor)
Houben, G.J.P.M. (mentor)
Tchivikova, O. (mentor)
Carne, J. (mentor)

Electrical Engineering, Mathematics and Computer Science

Computer Science

Information Architecture

2014-06-18

This thesis goal is to identify, collect, analyze, and evaluate the quality metrics for a product master data; to allow quantifying and improve their value. In order to meet the main objective, this study needs to address these three questions: (1) What is the type of methodology that should be used to develop business-oriented data quality metrics? (2) How appropriate is the methodology for a practical case? (3) What are the data quality metric specifications for a case study in Elsevier? This study develops the process model using methodologies constructed by Otto et al., 2009; Wang et al., 1995; and Batini et al., 1986. It uses the theory testing research strategy (Verschuren, et al., 2010) to develop an alternate process model by validating the frameworks with the study case in Elsevier e-commerce. The process model is considered practical, valid, complete, and resilience. It also provides a list of data quality metrics for e-commerce and product MDM that meets several requirements, namely business relevance, feasible, reproducible, measurable, and acceptable.

Data Quality
Master Data Management

http://resolver.tudelft.nl/uuid:c5828644-3bad-4789-8c95-8e1a9be1ae10

Student theses

master thesis

(c) 2014 Lidiansa, M.