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Management of the Master Data Lifecycle: A Framework for Analysis

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abstract Purpose - The purpose of the paper is to propose a reference model describing a holistic view of the master data lifecycle, including strategic, tactical and operational aspects. The Master Data Lifecycle Management (MDLM) map provides a structured approach to analyze the master data lifecycle.Design/methodology/approach - Embedded in a design oriented research process, the paper applies the Component Business Model (CBM) method and suggests a reference model which identifies the business components required to manage the master data lifecycle. CBM is a patented IBM method to analyze the key components of a business domain. The paper uses a participative case study to evaluate the suggested model.Findings - Based on a participative case study, the paper shows how the reference model allows to analyze the master data lifecycle on a strategic, a tactical and an operational level, and how it helps identify areas of improvement.Research limitations/implications - The paper presents design work and a participative case study. The reference model is grounded in existing literature and represents a comprehensive framework forming the foundation for future analysis of the master data lifecycle. Furthermore, the model represents an abstraction of an organization’s master data lifecycle. Hence, it forms a theory for designing More research is needed in order to more thoroughly evaluate the presented model in a variety of real-life settings.Practical implications - The paper shows how the reference model enables practitioners to analyze the master data lifecycle and how it helps identify areas of improvement.Originality/value - The paper reports on an attempt to establish a holistic view of the master data lifecycle, including strategic, tactical and operational aspects, in order to provide more comprehensive support for its analysis and improvement.
   
type journal paper
   
keywords Datenqualitätsmanagement, Stammdatenmanagement
   
project Corporate Data Quality
language English
kind of paper journal article
date of appearance 01-05-2013
journal Journal of Enterprise Information Management
volume of journal 26
number of issue 4
page(s) 472-491
review double-blind review
   
citation Ofner, M., Straub, K., Otto, B., & Österle, H. (2013). Management of the Master Data Lifecycle: A Framework for Analysis. Journal of Enterprise Information Management, 26(4), 472-491.