银行业数据挖掘:一般数据结构的尝试及挖掘应用策略

Banking data mining:testing of general data structure and strategy of mining application

金融大数据蕴藏巨大价值,但受通用数据结构缺失等历史因素影响,差异化的银行业海量数据目前仍难真正成为"数据资产",持续创造"经济价值"。为此,本文尝试提出了银行业一般数据结构,并就银行业数据挖掘实践的应用方向与基本策略提出了建议。

Financial data have enormous potential values, but those data are not genuine＂data assets＂, which can continuously generate economic values, because of historical factors such as lack of general data structure. This paper proposes the general structure of banking data, and suggests applicable strategies for carrying out banking data mining.