基于价值驱动的铁路数据服务能力提升策略研究

Research on Value-Driven Improvement Strategy of Railway Data Service Capability

受限于数据规模和数据源种类的丰富程度,多数企业应用数据服务刚起步,对于隐藏在数据中的价值认识还不够充分,影响数据资产的开发利用,因而数据服务能力受限。针对铁路数据管理现状,通过分析数据价值和数据服务,提出价值驱动的数据协同服务模式,借助协作场景元模型阐述以“数据需求-数据融合-数据服务-战略目标”的敏捷迭代数据价值释放逻辑,探讨以最大化释放数据价值为驱动的数据服务能力提升方法过程,以期为铁路企业主动提升数据服务能力提供参考。研究发现,提升铁路企业数据服务能力应重点关注:与业务深度融合的数据价值释放、协作网络中参与者的综合能力和数据服务能力提升过程中的各阶段特征目标。

Limited by the scale of data and the richness of data source types,most enterprises have just started to apply data services,and they do not fully recognize the value hidden in data,which affects the development and utilization of data assets,and thus data service capability is limited.Aiming at the current situation of railway data management,this paper proposed a value-driven data collaborative service model by analyzing data value and data service,expounded on the agile iterative data value release logic of “data demand-data fusion-data servicestrategic goal” with the help of collaborative scenario metamodel,and discussed the process of data service capability improvement driven by maximizing data value release,so as to provide suggestions for railway enterprises to actively improve data service capabilities.The study finds that improving the data service capability of railway enterprises should focus on the data value release with deep integration of business,the comprehensive ability of participants in a collaborative network,and the goals that characterize the stages in the process of improving the data service capability.