About this paper
Banks and regulators are all about data quality these days – and for good reason. Without meaningful data quality management, big data only leads to faster analysis of "data debris" and inaccurate risk insights. From a risk perspective, high-quality data is essential to implementing effective risk strategies and ensuring compliance. BCBS 239 is just one of many regulatory communications with requirements predicated upon banks having quality data. This paper explains how effective data quality management should be considered a basic requirement for modern-day bank management. It focuses on five best practices for improving data quality that are derived from successful SAS projects within the financial services industry.
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®.