| dc.description.abstract | Data governance ensures high data availability, quality and security of data by specifying the decision rights and accountabilities for data. However, a data governance implementation is an extremely complex undertaking as many organizational areas are involved and there is no one-size-fits-all solution. Something that can help improve the data governance at an organization is introducing a data governance platform that automates data governance activities, as this can ensure better availability, consistency and scalability. In order to maximize the benefits a data governance platform can provide, it is important that the organization is mature enough in its data governance and that the implementation is tailored to the organization’s specific situation. This research aims to design a framework that supports an organization in implementing a data governance platform by considering the situational factors of the organization, according to the contingency theory which considers that the most effective strategy to implement a system depends on the organization’s environment. To design the framework, the research was executed in three phases. Firstly, during the problem investigation phase, current literature of data governance and change implementation was examined. Additionally, subject matter experts on the topic of data governance platform implementations were interviewed about their experience with such a project. Secondly, during the treatment design phase, the success factors and situational factors for the implementation of a data governance platform were derived from the literature and expert interviews. This resulted in two visual frameworks which can be used complementary, with one framework focussing on the process of implementation and the other focussing on picking an implementation strategy. Thirdly, in the treatment validation phase, the frameworks were validated by means of interviews. On the one hand, this took the form of case study in which practitioners from case study organizations were questioned. On the other hand, academics who had affinity with data governance were interviewed. From this, it could be concluded that the frameworks can be used as a communication tool and for deciding how and when to implement a data governance platform. This can give an organization more guidance during the implementation process and contributes to the current body of knowledge on the implementation of data governance platforms. | |
