银行业数据质量管理方法研究与实践

摘要

银行数据质量管理是数据体系的核心部分，是数据价值实现的关键保障。本文在深入分析银行信息系统建设及数据应用对应的质量需求后，结合内外部特点提出了有针对性的数据质量管理方法，并讨论了数据质量对应的技术、人员能力要求。最后着重分析了宏观信息质量管理的内涵外延并给出应对举措，以适应银行业监管要求及大数据、云计算等发展趋势。%Data quality management is the core part of the bank data system, the key to guarantee the realization of the value of the data. Based on in-depth analysis of data quality requirements during information system construction and data application, we put forward some specific management methods, and discuss the corresponding technical and personnel capability requirement. In order to meet regulatory requirements and big data, cloud computing trend, we focus on the analysis of the information quality management trend and provide countermeasures.