Data governance is essential to ensure the accuracy, moderate sharing and protection of data, and to support data to play an important role in various decisions. However, with the development of cloud computing and big data technology, the characteristics of data are undergoing many changes, so traditional data governance theories cannot fully meet the governance requirements of data in era of cloud computing and big data. Learning from traditional data governance theories and intensively analyzing data characteristics in cloud computing, we put forward the cloud data governance maturity model (CDGM) innovatively. The CDGM includes lots of policies focusing on data strategy, data management, data optimization, data operations, data architecture and data security & privacy protection, and a continuous improvement loop governance system of planning, implementation, evaluation and optimization. At the same time, this paper also defines the cloud data governance maturity levels and explains their main features, and at last presents the cloud data governance maturity assessment methods. So, the CDGM can provide an overall guidance for an organization to manage their cloud data.
展开▼
