基于大数据的煤炭企业主数据辨识方法研究

Research on master data identification model in coal enterprises

针对煤炭企业主数据辨识问题,研究煤炭企业主数据辨识方法。首先,在分析建立主数据辨识方法的基础上,运用IDEF0建模方法,将煤炭生产经营业务划分成为最小业务单元;其次,针对最小业务单元,运用UML活动图、顺序图和类图,提取煤炭企业数据元;最后,针对疑似主数据元,建立煤炭企业主数据辨识流程,辨识出煤炭企业主数据。所提出的煤炭企业主数据辨识方法为煤炭企业主数据管理提供了方法和依据,也为大数据教学中的主数据辨识问题提供了具体案例。

Aiming at the problem of master data identification in coal enterprises,this paper researches on master data identification method in coal enterprises.Firstly,based on building master data identification method,the coal enterprise business is divided into the smallest business units in IDEFO modeling approach.Secondly,based on the smallest business units,this paper extracts data element in UML.Lastly,aiming at suspicious master data elements,this paper sets up master data identification flow to get master data.The master data identification model provides method and basis for master data management in coal enterprises.