Data Quality Assessment Research On ERP System

In the era of information explosion, enterprises are forced by the increasingly fierce business competition to pay more attention to information management, using which to strive for time, space and cost, support decision-making, and enhance their competitiveness. ERP system, as enterprises’ information integration software, provides a sharing platform for departments to exchange information, and realizes the integration of data resources. As the saying goes, "30% on technology, 70% on management, while 120% on data", data is the foundation of ERP system. In fact, the success implementation of ERP system relies heavily on the level of data quality. Data quality assessment and following improvement methods on ERP system is the main work of this paper, which will provide an effective guidance to understand and manage data quality on ERP system. Contents of this paper contain the following aspects:Firstly, the research progress of data quality are reviewed in this paper, including the definitions of data quality, data quality dimensions, and the research progress of evaluation models and methods.Secondly, this paper analyzes the demands of data products and data users of ERP system to extract the key influence factors affecting data quality of ERP system. By introducing data-product management theory to ERP, the production process of data is analyzed with IP-MAP, and users are divided into four kinds of data roles.Based on the key influence factors of data quality, this paper proposes a data quality evaluation model which consist four data quality aspects(data environment, data management, data processing and inherent quality of data) and detailed rating index system. As to the measurement of indexes, two methods respectively based on user feedback statistic and matching degree of constraint rules are provided.Finally, further discussions of the analysis and application of data quality assessment on ERP system are made, based on which the continuous data quality improvement method is proposed. Under the guidance of continuous improvement cycle(data quality evaluation, problem identification and control, data quality improvement) proposed by this paper, a dedicated team should be built to manage the data quality to guarantee the persisting data quality on ERP system.