The Research of Data Quality Problems in Power Enterprise Data Integration

Kehe Wu (), Cheng Duan () and Yayun Zhu ()
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Kehe Wu: North China Electric Power University
Cheng Duan: North China Electric Power University
Yayun Zhu: North China Electric Power University

A chapter in 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings, 2013, pp 265-275 from Springer

Abstract: Abstract After years accumulation of informationization construction, power enterprises have established huge and complex application systems, which include multi-class data related to business like production, operation and management. Along with the demands of developing new business application, the data integration is urgently needed to grasp overall data view; however the complex data integration environment causes the data quality problem particularly outstanding. Under the background of the power industry, this paper first studies the data quality definition and dimension recognition; then proposes a data integration platform architecture and studies the data quality control methods in data integration; elaborates data quality assessment methods and procedures; in the view of data product, designs a total data quality management (TDQM) process finally. In a typical case of application, the results show the practicability of the proposed method.

Keywords: Data integration; Data quality; Quality control; Quality assessment; TDQM (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-34910-2_31

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DOI: 10.1007/978-3-642-34910-2_31

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