Academic Publications: Governance
A Morphology of the Organisation of Data Governance
Boris Otto
Proceedings of the 19th European Conference on Information Systems
ABSTRACT: Both information systems (IS) researchers and practitioners consider data governance as a promising approach for companies to improve and maintain the quality of corporate data, which is seen as critical for being able to meet strategic business requirements, such as compliance or integrated customer management. Both sides agree that data governance primarily is a matter of organisation. However, hardly any scientific results have been produced so far indicating what actually has to be organised by data governance, and what data governance may look like. The paper aims at closing this gap by developing a morphology of data governance organisation on the basis of a comprehensive analysis of the state of the art both in science and in practice. Epistemologically, the morphology represents an analytic theory, as it serves for structuring the research topic of data governance, which is still quite unexplored. Six mini case studies are used to evaluate the morphology by means of empirical data. Providing a foundation for further research, the morphology contributes to the advancement of the scientific body of knowledge. At the same time, it is beneficial to practitioners, as companies may use it as a guideline when organising data governance.
Topics: Data, Governance, Organization
Organizing Data Governance: Findings from the Telecommunications Industry
Boris Otto
Communications of the Association for Information Systems Vol. 29 No 1 Article 3
ABSTRACT: Many companies see Data Governance as a promising approach to ensuring data quality and maintaining its value as a company asset. While the practitioners’ community has been vigorously discussing the topic for quite sometime, Data Governance as a field of scientific study is still in its infancy. This article reports on the findings of a casestudy on the organization of Data Governance in two large telecommunications companies, namely BT and Deutsche Telekom. The article proposes that large, service-providing companies in general have a number of options when designing Data Governance and that the individual organizational design is context-contingent. Despite their many similarities, BT and Deutsche Telekom differ with regard to their Data Governance organization. BT has followed a more project-driven, bottom-up philosophy; Deutsche Telekom, on the other hand, favors a rather constitutive, top-down approach. The article also proposes a research agenda for further studies in the field of Data Governance organization. More ›
Topics: Data, Governance, Telecommunications