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On the Evolution of Data Governance in Firms: The Case of Johnson & Johnson Consumer Products North America

  • Boris OttoEmail author
Chapter

Abstract

Data Governance defines decision-making rights for company-wide use of data. The topic has received increased attention both in the scientific and in the practitioners’ community, as the quality of data meanwhile is increasingly being considered a key prerequisite for companies for being able to meet a number of strategic business requirements, such as compliance with a growing number of legal provisions or pursuit of a customer-centric business model. While first results can be found in literature addressing Data Governance arrangements, no studies have been published so far investigating the evolution of Data Governance over time. Drawing on theory about organizational capabilities, the chapter assumes that Data Governance can be considered a dynamic capability and that the concept of capability lifecycles can be applied. A single-case study conducted at Johnson & Johnson Consumer Products, North America, is presented to explore the research question as to how Data Governance effectiveness can be measured as the ratio of the number of preventive data quality management (DQM) measures to the total number of DQM measures in order to trace the evolution of Data Governance over time. The findings suggest that Data Governance can in fact be seen as a dynamic capability and that its effectiveness evolves according to a lifecycle curve. Furthermore, the chapter discusses a maturity model which can be used as an instrument to manage and monitor this evolution.

Keywords

Business Process Dynamic Capability Organizational Capability Executive Management Master Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.University of St. GallenSt. GallenSwitzerland

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