Methodology for building a business-oriented data asset system: Feature hierarchies
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摘要: 给出了一种面向业务侧的数据资产建设新方法. 数据资产是数据中台概念中核心一环, 需要一种业务导向的资产映射来完成资产业务化过程. 标签类目体系方法论是一种将数据资产按照树状结构组织的方法, 根目录为对象, 枝干分支为类目, 叶/花末端为标签. 各种对象树之间存在能量连接, 并通过业务供给生长. 标签类目体系实例化可以采用整体规划、局部截取两种模式. 资产结果分为资产清单和资产实体两大部分, 它们可以通过服务管理工具快速配置成可供业务使用的数据服务结果, 以实现数据资产价值.Abstract: This paper proposes a new method for building a business-oriented data asset system. Data assets are one of the core components of the data middle office concept and require business-oriented asset mapping to realize the transformation from the asset to the broader business value. The proposed methodology uses feature hierarchies and describes how to organize data assets based on a tree structure, with the root as an object, the branch as a category, and a leaf/flower as a tag. There are energetic connections between the various object trees and the growth of these trees is supplied by the business. The instantiation of feature hierarchies can be realized in two modes: overall planning and local interception. The asset results are divided into two major parts, namely asset inventories and asset entities; these can be quickly configured as data service results for business use through service management tools in order to realize the value of the underlying data assets.
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Key words:
- feature hierarchies /
- tree structure /
- data services /
- asset value
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图 2 标签类目体系对不同个体的快速刻画
Fig. 2 Portrayal of different individuals through feature hierarchies
图 3 消费者实体树与商品实体树通过交易关系树发生连接
Fig. 3 Consumer entity tree and commodity entity tree connected through a transaction relation tree
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