Manage Data Quality In Finance Data Warehouse

Currently building centralized data warehouse for enterprise scale systems is one of the major directions for China's Financial IT Development, especially the major banks. Through data warehousing we can effectively improve Financial Enterprise Management over risk, customer relationship, sales and marketing. However, the overall quality of data warehousing projects depend fundamentally on the quality of data from different data sources and the processing toward the data. The issue of data quality has been causing serious data problems in bank data warehousing projects, which has undermined customers' trust and confidence in data warehousing.The points this text want to contribute lies in:1: Analyze and categorize problems in data quality during Financial Data Warehousing projects, and bring forward original solutions for the control, management and improvement for these problems.2: Provides data quality solution base on Teradata data warehouse and ETL system .Data quality system monitor and manage data quality automatic.3: The data quality system has become the standard of NCR Teradata branch.The details of the article include the analysis of data quality in data warehouse project and the requirements. This kind of system had been utilized in a national bank.