Design And Implementation Of Fund Data Ouality Management System Based On The Assessment Model

In the information age, data has become an important part of informatio system. However, with the development of the information system, dat problems such as data loss, error, data inconsistency have brought hug losses to the enterprise.Based on the analysis of existing quality evaluation model and the current problems of fund data, this paper choose the integrity, validity, uniqueness three index to establish data quality assessment model. Evaluating data quality from the perspective of quantitative help data users understand the data quality of application system and select the appropriate data sources. On this basis, this paper puts forward the method of data quality improvement for various business scenarios. Based on the data quality assessment model and the current data quality problems, in this paper, starting from the demand of improving the quality of the data, using the repetition data detection, abnormal data mathematical, missing data processing and other related data quality improvement technology and relevant technology such as Spring, Hibernate, fund data quality management system was designed and implemented.At the end of this paper, we assess a concrete instance of fund data using the assessment model and solve the fund data problems in the original data using the fund data quality management system. Fund data quality is improved by comparing the score and the display effect of fund data visualization system, proved that the availability of the assessment model and the practicability of fund data quality management system.