Research On Chuanhuan ERP System Data Quality Issues

Under China’s current market economy conditions, the data is a major factor in helping business decisions, incorrect or incomplete data can cause errors and failures, and data quality for enterprises to become very important. Many factors have a direct impact on corporate enterprise data quality level, so the research enterprise data quality factors becomes necessary and meaningful. ERP systems are entirely based on an integrated data management system, the quality of the system data directly affects the success of ERP system implementation. Early theorists have begun to ERP and enterprise data quality theoretical and applied research, but there are still many areas of ERP data quality issues to be studied and solved.Specific problems encountered in the course of this article will ring the company ERP system implementation River as the research object, propose some methods on data quality management combined with relevant theory. Firstly, a brief introduction to the background and significance of the research, meaning the basic requirements of a comprehensive data quality management, the basic characteristics of the ERP system and to identify the correlation between the two, noting that a comprehensive data quality management in terms of ERP systems to improve data quality application prospects. On this basis, a case study for the Central Sichuan ERP implementation ERP system applications company encountered problems and improve data quality work. Describes the current situation of Sichuan ring company ERP system to improve the quality of data before combining research and research-related information interviews, each business department data classification ERP systems, quality requirements, existing data quality issues. Then deal with the problems, the method combines the use of TDQM River Central’s specific circumstances, BOM (BOM), the business module master data, three types of fixed raw data management, presented a detailed plan Sichuan ring corporate data quality improvement. Finally, the results of this research as you want to guarantee the implementation of enterprise ERP system in order to have high-quality data, can identify goals, build consensus, system construction, personnel training, to carry out actions to implement the five aspects.This study hopes to give some advice to bring some of the industry in the ERP system data quality management. For domestic SMEs to understand the factors that influence the quality of data and to improve the quality of data management provides a reference and guidance. In this paper, there are still many deficiencies, future studies using different research methods can be further improved.