Research and development on data quality assessment management system

As the consistency prediction of data view in information systems and actual data, data quality is of vital importance to decision making and the development of banking industry. In this paper, we firstly analyze the influence of data quality on the banking industry, and make researches on the current situation of banking industry data quality automated management. Then five evaluation dimensions (completeness, timeliness, validity, consistency and accuracy) of data are investigated, and specific evaluation indexes according to the applications of data in the banking systems are proposed. Based on the research, we design and implement a data quality assessment management system for the banking industry. The assessment system proposed is deployed in a domestic bank and good results have been achieved.