数智时代企业数据治理的现存风险与法律因应

Enterprise data governance is the key link to release the value of data, but it is accompanied by frequent risks such as data security, data compliance and data monopoly, which highlights the deep reasons such as the need to update the legal norms, the more formality of the rule framework and the unfair competition in the data market. In essence, data security is the basis of data compliance, and data compliance is the defense line of data monopoly. Then, how to find a balance between promoting data circulation and preventing data risks is particularly important. Therefore, in enterprise data governance, it is necessary to achieve systematic coordination from the three levels of formulation-implementation-guarantee , and the adaptation ideas at different levels have different emphases. At the formulation level, through the connection between legal norms and data standards, the basic standards and requirements of data governance are established. At the implementation level, the legal norms are refined into operational rules and processes that can be implemented to ensure that governance requirements are specifically implemented. At the security level, relying on multiple co-governance such as government supervision, industry self-discipline and social supervision, it provides continuous optimization and support for the effective implementation of the rules. Above, we hope to provide a systematic and dynamic legal response for enterprises in the era of digital intelligence and market competition.