Ph.D. Candidate: Selin Gökalp
Program: Information Systems
Date: 16.01.2026 / 09:00
Place: A-212

Abstract: Organizations increasingly witness data as a strategic asset, but quite a few of organizations still confront significant difficulties in the development of coherent and scalable data governance practices that can create value consistently. There is an escalated notice but on the other hand, there is still partial experiential definition for the evolutionary progress on data governance capabilities, as well as diagnostic strengths, weaknesses and development needs from the point of organizations systematically. This thesis completes this gap by proposing an ideally dependent Data Governance Capability Maturity Model, DG-CMM, it puts a systematic and reproducible source in terms of evaluating and cultivating organizational capabilities, regarding data governance. DG-CMM involves six maturity levels, from "Not Performed" reaching to "Innovating". There is eighteen processes under four cohesive process areas: Data, Organization, Strategy, and Technology having the aim of catching multidimensional nature of capability development. From the results of the multiple case study performed, the usefulness, applicability and efficacy of the proposed model are discovered. A number of organizations were in a part of this multiple case study research having distinct sizes, operating at diverse industries, and acquiring contextual complexities. According to the findings, the DG-CMM can consistently implemented in various organizational settings, so that it can truly diagnose current maturity levels. In addition, the model successively suggests viable insights by assisting organizations in the context of closing capability gaps and reaching higher levels of maturity in terms of data governance.