AbstractData is of increasing importance within every organization and consists of large volumes. In addition, its content often consists of sensitive information. Organizations must ensure that they have effective security measures in place to ensure that (sensitive) data is protected at all times. Because of the importance of effective security measures, the question of measuring organizational maturity in this area arises.
To answer this, the goal of this research is to develop a validated Data Governance Security and Privacy Maturity Model (DGSPMM). This resulted in the following main question: How to validly measure the organizational maturity of the security and privacy dimension of data governance?
In order to obtain an answer to this question, sub-questions have been formulated. Some of these questions were answered using literature review. Furthermore, an empirical study took place to test the findings of the literature study in practice. Semi-structured interviews were chosen in this study and five interviews were conducted.
All (sub) dimensions, assessment criteria and maturity levels were indicated as relevant by one or more interviewees. Yet there were also some that were indicated as not relevant. Several changes were proposed for the dimensions, sub-dimensions and assessment criteria by the five experts.
The research has shown that the organizational maturity of the SP dimension of DG can be measured using the DGSPMM.
|Date of Award||22 Mar 2022|
|Supervisor||Remko Helms (Examiner) & Jan Merkus (Supervisor)|
- Data Governance
- Data Security
- Data Privacy
- Maturity Model
- Data Governance Security en Privacy Volwassenheidsmodel
- Master Business Process management & IT (BPMIT)